diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_08e5ec02e7ff369b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_08e5ec02e7ff369b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..89fc17389ad63b669c562739cea8c4aec975a0e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_08e5ec02e7ff369b/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"age": "18", "support": 148, "avg_response": 0.4594594594594595}, {"age": "19", "support": 142, "avg_response": 0.4647887323943662}, {"age": "45", "support": 62, "avg_response": 1.4838709677419355}, {"age": "52", "support": 62, "avg_response": 1.4838709677419355}, {"age": "47", "support": 62, "avg_response": 1.3548387096774193}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_08e5ec02e7ff369b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_08e5ec02e7ff369b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ee678baf9f68376cd86e1ab57e5742245f692142 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_08e5ec02e7ff369b/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: m4 +-- 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_m4_08e5ec02e7ff369b +-- problem_id: v2p_m4_0a6430c93a190077 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "age", + COUNT(*) AS support, + AVG("children") AS avg_response +FROM "m4" +GROUP BY "age" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_08e5ec02e7ff369b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_08e5ec02e7ff369b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..da28fa6f6479c68338692398c3f406a1d4d810df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_08e5ec02e7ff369b/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: m4\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_m4_08e5ec02e7ff369b\n-- problem_id: v2p_m4_0a6430c93a190077\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"age\",\n COUNT(*) AS support,\n AVG(\"children\") AS avg_response\nFROM \"m4\"\nGROUP BY \"age\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: m4\\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_m4_08e5ec02e7ff369b\\n-- problem_id: v2p_m4_0a6430c93a190077\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"age\\\",\\n COUNT(*) AS support,\\n AVG(\\\"children\\\") AS avg_response\\nFROM \\\"m4\\\"\\nGROUP BY \\\"age\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"age\", \"support\", \"avg_response\"], \"rows\": [{\"age\": \"18\", \"support\": 148, \"avg_response\": 0.4594594594594595}, {\"age\": \"19\", \"support\": 142, \"avg_response\": 0.4647887323943662}, {\"age\": \"45\", \"support\": 62, \"avg_response\": 1.4838709677419355}, {\"age\": \"52\", \"support\": 62, \"avg_response\": 1.4838709677419355}, {\"age\": \"47\", \"support\": 62, \"avg_response\": 1.3548387096774193}, {\"age\": \"23\", \"support\": 62, \"avg_response\": 0.9032258064516129}, {\"age\": \"46\", \"support\": 60, \"avg_response\": 1.7333333333333334}, {\"age\": \"54\", \"support\": 60, \"avg_response\": 1.4333333333333333}, {\"age\": \"28\", \"support\": 60, \"avg_response\": 1.3666666666666667}, {\"age\": \"26\", \"support\": 60, \"avg_response\": 1.1}, {\"age\": \"51\", \"support\": 60, \"avg_response\": 1.0666666666666667}, {\"age\": \"22\", \"support\": 60, \"avg_response\": 0.8666666666666667}, {\"age\": \"21\", \"support\": 60, \"avg_response\": 0.8}, {\"age\": \"48\", \"support\": 58, \"avg_response\": 1.3103448275862069}, {\"age\": \"50\", \"support\": 58, \"avg_response\": 1.3103448275862069}, {\"age\": \"25\", \"support\": 58, \"avg_response\": 1.2758620689655173}, {\"age\": \"53\", \"support\": 58, \"avg_response\": 1.206896551724138}, {\"age\": \"27\", \"support\": 58, \"avg_response\": 0.9310344827586207}, {\"age\": \"20\", \"support\": 58, \"avg_response\": 0.8620689655172413}, {\"age\": \"30\", \"support\": 56, \"avg_response\": 1.5}, {\"age\": \"49\", \"support\": 56, \"avg_response\": 1.5}, {\"age\": \"41\", \"support\": 56, \"avg_response\": 1.3928571428571428}, {\"age\": \"32\", \"support\": 56, \"avg_response\": 1.2857142857142858}, {\"age\": \"44\", \"support\": 56, \"avg_response\": 1.25}, {\"age\": \"56\", \"support\": 56, \"avg_response\": 0.7142857142857143}, {\"age\": \"24\", \"support\": 56, \"avg_response\": 0.4642857142857143}, {\"age\": \"39\", \"support\": 54, \"avg_response\": 2.259259259259259}, {\"age\": \"33\", \"support\": 54, \"avg_response\": 1.6296296296296295}, {\"age\": \"43\", \"support\": 54, \"avg_response\": 1.6296296296296295}, {\"age\": \"40\", \"support\": 54, \"avg_response\": 1.5925925925925926}, {\"age\": \"31\", \"support\": 54, \"avg_response\": 1.4074074074074074}, {\"age\": \"29\", \"support\": 54, \"avg_response\": 1.2592592592592593}, {\"age\": \"42\", \"support\": 54, \"avg_response\": 1.0}, {\"age\": \"57\", \"support\": 54, \"avg_response\": 0.6296296296296297}, {\"age\": \"37\", \"support\": 52, \"avg_response\": 1.5769230769230769}, {\"age\": \"34\", \"support\": 52, \"avg_response\": 1.1538461538461537}, {\"age\": \"59\", \"support\": 52, \"avg_response\": 1.1538461538461537}, {\"age\": \"55\", \"support\": 52, \"avg_response\": 0.9615384615384616}, {\"age\": \"58\", \"support\": 52, \"avg_response\": 0.23076923076923078}, {\"age\": \"35\", \"support\": 50, \"avg_response\": 1.68}, {\"age\": \"38\", \"support\": 50, \"avg_response\": 1.48}, {\"age\": \"36\", \"support\": 50, \"avg_response\": 1.24}, {\"age\": \"62\", \"support\": 48, \"avg_response\": 0.5416666666666666}, {\"age\": \"64\", \"support\": 46, \"avg_response\": 0.8260869565217391}, {\"age\": \"61\", \"support\": 46, \"avg_response\": 0.7391304347826086}, {\"age\": \"63\", \"support\": 46, \"avg_response\": 0.5652173913043478}, {\"age\": \"60\", \"support\": 46, \"avg_response\": 0.34782608695652173}], \"row_count_returned\": 47, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.75}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_08e5ec02e7ff369b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_08e5ec02e7ff369b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0e8c422c222daff804f7cdb12e3c6b30ec7fc2b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_08e5ec02e7ff369b/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:40.754703+00:00", + "ended_at": "2026-05-19T16:01:40.757233+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_08e5ec02e7ff369b", + "problem_id": "v2p_m4_0a6430c93a190077", + "dataset_id": "m4", + "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=children, key_col=age.", + "bindings": { + "key_col": "age", + "measure_col": "children", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_08e5ec02e7ff369b.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/m4/artifacts/v2q_m4_08e5ec02e7ff369b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_08e5ec02e7ff369b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_08e5ec02e7ff369b/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/m4/artifacts/v2q_m4_1319c29b4cab8c25/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6350c8e7835a88ac5f7f14d68c4d06145ded23e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi. +Result preview: [{"bmi": "53.13"}, {"bmi": "53.13"}, {"bmi": "52.58"}, {"bmi": "52.58"}, {"bmi": "50.38"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7b896b9c0575f8863ae415367cc3c0bee7cfc4df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/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: m4 +-- 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_m4_1319c29b4cab8c25 +-- problem_id: v2p_m4_d7aca4f9ab95e38f +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT "bmi", + NTILE(10) OVER (ORDER BY CAST("bmi" AS REAL) DESC) AS tail_bucket + FROM "m4" +) +SELECT "bmi" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("bmi" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..67a61e0a9486ac001851cbde0c048338abb6c2cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/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 \"bmi\",\n NTILE(10) OVER (ORDER BY CAST(\"bmi\" AS REAL) DESC) AS tail_bucket\n FROM \"m4\"\n)\nSELECT \"bmi\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"bmi\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"bmi\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"bmi\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m4\\\"\\n)\\nSELECT \\\"bmi\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"bmi\\\" AS REAL) DESC;\", \"columns\": [\"bmi\"], \"rows\": [{\"bmi\": \"53.13\"}, {\"bmi\": \"53.13\"}, {\"bmi\": \"52.58\"}, {\"bmi\": \"52.58\"}, {\"bmi\": \"50.38\"}, {\"bmi\": \"50.38\"}, {\"bmi\": \"49.06\"}, {\"bmi\": \"49.06\"}, {\"bmi\": \"48.07\"}, {\"bmi\": \"48.07\"}, {\"bmi\": \"47.74\"}, {\"bmi\": \"47.74\"}, {\"bmi\": \"47.6\"}, {\"bmi\": \"47.6\"}, {\"bmi\": \"47.52\"}, {\"bmi\": \"47.52\"}, {\"bmi\": \"47.41\"}, {\"bmi\": \"47.41\"}, {\"bmi\": \"46.75\"}, {\"bmi\": \"46.75\"}, {\"bmi\": \"46.7\"}, {\"bmi\": \"46.7\"}, {\"bmi\": \"46.53\"}, {\"bmi\": \"46.53\"}, {\"bmi\": \"46.53\"}, {\"bmi\": \"46.53\"}, {\"bmi\": \"46.53\"}, {\"bmi\": \"46.53\"}, {\"bmi\": \"46.53\"}, {\"bmi\": \"46.53\"}, {\"bmi\": \"46.2\"}, {\"bmi\": \"46.2\"}, {\"bmi\": \"46.09\"}, {\"bmi\": \"46.09\"}, {\"bmi\": \"45.9\"}, {\"bmi\": \"45.9\"}, {\"bmi\": \"45.54\"}, {\"bmi\": \"45.54\"}, {\"bmi\": \"45.43\"}, {\"bmi\": \"45.43\"}, {\"bmi\": \"45.32\"}, {\"bmi\": \"45.32\"}, {\"bmi\": \"45.32\"}, {\"bmi\": \"45.32\"}, {\"bmi\": \"44.88\"}, {\"bmi\": \"44.88\"}, {\"bmi\": \"44.77\"}, {\"bmi\": \"44.77\"}, {\"bmi\": \"44.745\"}, {\"bmi\": \"44.745\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 10.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6315f60da013f96af7a35dbcf8fea05b97e69837 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:40:00.956885+00:00", + "ended_at": "2026-05-19T15:40:11.505323+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_1319c29b4cab8c25", + "problem_id": "v2p_m4_d7aca4f9ab95e38f", + "dataset_id": "m4", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi.", + "bindings": { + "measure_col": "bmi", + "top_k": 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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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/m4/sql/v2q_m4_1319c29b4cab8c25.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_1319c29b4cab8c25", + "api_calls": 0, + "input_tokens": 13725, + "cached_input_tokens": 12672, + "output_tokens": 442, + "total_tokens": 14167, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10532.06, + "sql_execution_elapsed_ms_total": 10.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_1319c29b4cab8c25/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..861ebcad7ad38773b5eb6a68444389ece09a3918 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:11.492223+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": 10532.06, "started_at": "2026-05-19T15:40:00.958597+00:00", "ended_at": "2026-05-19T15:40:11.490699+00:00", "prompt_metrics": {"chars": 5465, "bytes_utf8": 5465, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 479, "bytes_utf8": 479, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13725, "cached_input_tokens": 12672, "output_tokens": 442, "reasoning_output_tokens": 302}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"bmi\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"bmi\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m4\\\"\\n)\\nSELECT \\\"bmi\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"bmi\\\" AS REAL) DESC;\",\"notes\":\"Used the planned Quantile Tail Slice template with measure_col bound to \\\"bmi\\\" and num_tiles=10. Cast \\\"bmi\\\" to REAL for correct numeric ordering because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..548c69754b1ad7f905be4de95ebf856aefe6a4da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_1319c29b4cab8c25", + "api_calls": 0, + "input_tokens": 13725, + "cached_input_tokens": 12672, + "output_tokens": 442, + "total_tokens": 14167, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10532.06, + "sql_execution_elapsed_ms_total": 10.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1319c29b4cab8c25/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_2a63d732aa0025b3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a63d732aa0025b3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c90d6792d3b80004f036ff51814e996d090d9c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a63d732aa0025b3/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 1186, "support_share": 0.42784992784992787, "support_rank": 1}, {"value_label": "1", "support": 672, "support_share": 0.24242424242424243, "support_rank": 2}, {"value_label": "2", "support": 496, "support_share": 0.17893217893217894, "support_rank": 3}, {"value_label": "3", "support": 324, "support_share": 0.11688311688311688, "support_rank": 4}, {"value_label": "4", "support": 52, "support_share": 0.01875901875901876, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a63d732aa0025b3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a63d732aa0025b3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b4e9c12cd7d558dfaa8f5e57c5cf20c076df0ff1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a63d732aa0025b3/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: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m4_2a63d732aa0025b3 +-- problem_id: v2p_m4_297c9ba20f13cef9 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "children" AS value_label, COUNT(*) AS support + FROM "m4" + GROUP BY "children" +) +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/m4/artifacts/v2q_m4_2a63d732aa0025b3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a63d732aa0025b3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e289bc45992b7374e0f48278996adeb879875d49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a63d732aa0025b3/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: m4\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m4_2a63d732aa0025b3\n-- problem_id: v2p_m4_297c9ba20f13cef9\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"children\" AS value_label, COUNT(*) AS support\n FROM \"m4\"\n GROUP BY \"children\"\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: m4\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m4_2a63d732aa0025b3\\n-- problem_id: v2p_m4_297c9ba20f13cef9\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"children\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m4\\\"\\n GROUP BY \\\"children\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"0\", \"support\": 1186, \"support_share\": 0.42784992784992787, \"support_rank\": 1}, {\"value_label\": \"1\", \"support\": 672, \"support_share\": 0.24242424242424243, \"support_rank\": 2}, {\"value_label\": \"2\", \"support\": 496, \"support_share\": 0.17893217893217894, \"support_rank\": 3}, {\"value_label\": \"3\", \"support\": 324, \"support_share\": 0.11688311688311688, \"support_rank\": 4}, {\"value_label\": \"4\", \"support\": 52, \"support_share\": 0.01875901875901876, \"support_rank\": 5}, {\"value_label\": \"5\", \"support\": 42, \"support_share\": 0.015151515151515152, \"support_rank\": 6}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.74}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a63d732aa0025b3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a63d732aa0025b3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..695e209e28911268fad0d7fdf8115477e9e3122e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a63d732aa0025b3/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:40.741589+00:00", + "ended_at": "2026-05-19T16:01:40.744307+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_2a63d732aa0025b3", + "problem_id": "v2p_m4_297c9ba20f13cef9", + "dataset_id": "m4", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=children.", + "bindings": { + "group_col": "children" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2a63d732aa0025b3.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/m4/artifacts/v2q_m4_2a63d732aa0025b3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a63d732aa0025b3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a63d732aa0025b3/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/m4/artifacts/v2q_m4_2bcab51108420bd2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3f0585ce0edcd4701f5b69caad778a6c0a22dd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/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=region, measure_col=age. +Result preview: [{"region": "southwest", "avg_measure": 39.39766081871345}, {"region": "northeast", "avg_measure": 39.243161094224924}, {"region": "northwest", "avg_measure": 39.08132530120482}, {"region": "southeast", "avg_measure": 38.762402088772845}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3864780928b640ff35ff42c753ae898085434bee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/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: m4 +-- 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_m4_2bcab51108420bd2 +-- problem_id: v2p_m4_d7af8cdd9ecc550a +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "region", + AVG(CAST("age" AS REAL)) OVER (PARTITION BY "region") AS avg_measure +FROM "m4" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6bf939bd7c3a1bea7e09d3902fa6a204b3ff276c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/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 \"region\",\n AVG(CAST(\"age\" AS REAL)) OVER (PARTITION BY \"region\") AS avg_measure\nFROM \"m4\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"region\\\",\\n AVG(CAST(\\\"age\\\" AS REAL)) OVER (PARTITION BY \\\"region\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"region\", \"avg_measure\"], \"rows\": [{\"region\": \"southwest\", \"avg_measure\": 39.39766081871345}, {\"region\": \"northeast\", \"avg_measure\": 39.243161094224924}, {\"region\": \"northwest\", \"avg_measure\": 39.08132530120482}, {\"region\": \"southeast\", \"avg_measure\": 38.762402088772845}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.57}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1a433e9655c1c7b91344e49ccd1ff5487953b730 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:00:12.682168+00:00", + "ended_at": "2026-05-19T16:00:21.411334+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_2bcab51108420bd2", + "problem_id": "v2p_m4_d7af8cdd9ecc550a", + "dataset_id": "m4", + "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=region, measure_col=age.", + "bindings": { + "group_col": "region", + "measure_col": "age", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=135" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2bcab51108420bd2.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_2bcab51108420bd2", + "api_calls": 0, + "input_tokens": 13679, + "cached_input_tokens": 12032, + "output_tokens": 273, + "total_tokens": 13952, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8717.08, + "sql_execution_elapsed_ms_total": 7.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_2bcab51108420bd2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..88172eccfcd9aa7770184946e9434cd2c10d369a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:21.401690+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": 8717.08, "started_at": "2026-05-19T16:00:12.683485+00:00", "ended_at": "2026-05-19T16:00:21.400607+00:00", "prompt_metrics": {"chars": 5371, "bytes_utf8": 5371, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 375, "bytes_utf8": 375, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13679, "cached_input_tokens": 12032, "output_tokens": 273, "reasoning_output_tokens": 173}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"region\\\",\\n AVG(CAST(\\\"age\\\" AS REAL)) OVER (PARTITION BY \\\"region\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"region\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" from TEXT to REAL for a SQLite-safe numeric average.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..da79fa7912c31001bb35cb143db54321abbb249b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_2bcab51108420bd2", + "api_calls": 0, + "input_tokens": 13679, + "cached_input_tokens": 12032, + "output_tokens": 273, + "total_tokens": 13952, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8717.08, + "sql_execution_elapsed_ms_total": 7.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_33e02da3bd18ff40/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..61092abe25d103a7ccbd18cebaab9f740ca0a63f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/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=sex, measure_col=bmi. +Result preview: [{"sex": "male", "percentile_measure": 38.94}, {"sex": "female", "percentile_measure": 38.665}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6bc69635e164408b7266ec096feadf8ebdc5d8f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/generated_sql.sql @@ -0,0 +1,63 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_33e02da3bd18ff40 +-- problem_id: v2p_m4_d84815b2f61d2dc5 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "sex", + CAST("bmi" AS REAL) AS "bmi_value" + FROM "m4" + WHERE "sex" IS NOT NULL + AND TRIM("sex") <> '' + AND "bmi" IS NOT NULL + AND TRIM("bmi") <> '' +), +"ranked" AS ( + SELECT + "sex", + "bmi_value", + ROW_NUMBER() OVER ( + PARTITION BY "sex" + ORDER BY "bmi_value" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "sex" + ) AS "cnt" + FROM "base" +), +"positions" AS ( + SELECT DISTINCT + "sex", + ((0.9 * ("cnt" - 1)) + 1.0) AS "pos", + CAST(((0.9 * ("cnt" - 1)) + 1.0) AS INTEGER) AS "lo_rn", + CASE + WHEN ((0.9 * ("cnt" - 1)) + 1.0) = CAST(((0.9 * ("cnt" - 1)) + 1.0) AS INTEGER) + THEN CAST(((0.9 * ("cnt" - 1)) + 1.0) AS INTEGER) + ELSE CAST(((0.9 * ("cnt" - 1)) + 1.0) AS INTEGER) + 1 + END AS "hi_rn" + FROM "ranked" + WHERE "cnt" >= 5 +) +SELECT + "p"."sex", + CASE + WHEN "p"."lo_rn" = "p"."hi_rn" THEN "lo"."bmi_value" + ELSE "lo"."bmi_value" + (("p"."pos" - "p"."lo_rn") * ("hi"."bmi_value" - "lo"."bmi_value")) + END AS "percentile_measure" +FROM "positions" AS "p" +JOIN "ranked" AS "lo" + ON "lo"."sex" = "p"."sex" + AND "lo"."rn" = "p"."lo_rn" +JOIN "ranked" AS "hi" + ON "hi"."sex" = "p"."sex" + AND "hi"."rn" = "p"."hi_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0124736b26161b4a4b102699b7d08d3f0ba67809 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"sex\",\n CAST(\"bmi\" AS REAL) AS \"bmi_value\"\n FROM \"m4\"\n WHERE \"sex\" IS NOT NULL\n AND TRIM(\"sex\") <> ''\n AND \"bmi\" IS NOT NULL\n AND TRIM(\"bmi\") <> ''\n),\n\"ranked\" AS (\n SELECT\n \"sex\",\n \"bmi_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"sex\"\n ORDER BY \"bmi_value\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"sex\"\n ) AS \"cnt\"\n FROM \"base\"\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"sex\",\n ((0.9 * (\"cnt\" - 1)) + 1.0) AS \"pos\",\n CAST(((0.9 * (\"cnt\" - 1)) + 1.0) AS INTEGER) AS \"lo_rn\",\n CASE\n WHEN ((0.9 * (\"cnt\" - 1)) + 1.0) = CAST(((0.9 * (\"cnt\" - 1)) + 1.0) AS INTEGER)\n THEN CAST(((0.9 * (\"cnt\" - 1)) + 1.0) AS INTEGER)\n ELSE CAST(((0.9 * (\"cnt\" - 1)) + 1.0) AS INTEGER) + 1\n END AS \"hi_rn\"\n FROM \"ranked\"\n WHERE \"cnt\" >= 5\n)\nSELECT\n \"p\".\"sex\",\n CASE\n WHEN \"p\".\"lo_rn\" = \"p\".\"hi_rn\" THEN \"lo\".\"bmi_value\"\n ELSE \"lo\".\"bmi_value\" + ((\"p\".\"pos\" - \"p\".\"lo_rn\") * (\"hi\".\"bmi_value\" - \"lo\".\"bmi_value\"))\n END AS \"percentile_measure\"\nFROM \"positions\" AS \"p\"\nJOIN \"ranked\" AS \"lo\"\n ON \"lo\".\"sex\" = \"p\".\"sex\"\n AND \"lo\".\"rn\" = \"p\".\"lo_rn\"\nJOIN \"ranked\" AS \"hi\"\n ON \"hi\".\"sex\" = \"p\".\"sex\"\n AND \"hi\".\"rn\" = \"p\".\"hi_rn\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"sex\\\",\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"bmi_value\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"sex\\\" IS NOT NULL\\n AND TRIM(\\\"sex\\\") <> ''\\n AND \\\"bmi\\\" IS NOT NULL\\n AND TRIM(\\\"bmi\\\") <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"sex\\\",\\n \\\"bmi_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"sex\\\"\\n ORDER BY \\\"bmi_value\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"sex\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"sex\\\",\\n ((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS \\\"pos\\\",\\n CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN ((0.9 * (\\\"cnt\\\" - 1)) + 1.0) = CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n THEN CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n ELSE CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n \\\"p\\\".\\\"sex\\\",\\n CASE\\n WHEN \\\"p\\\".\\\"lo_rn\\\" = \\\"p\\\".\\\"hi_rn\\\" THEN \\\"lo\\\".\\\"bmi_value\\\"\\n ELSE \\\"lo\\\".\\\"bmi_value\\\" + ((\\\"p\\\".\\\"pos\\\" - \\\"p\\\".\\\"lo_rn\\\") * (\\\"hi\\\".\\\"bmi_value\\\" - \\\"lo\\\".\\\"bmi_value\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"positions\\\" AS \\\"p\\\"\\nJOIN \\\"ranked\\\" AS \\\"lo\\\"\\n ON \\\"lo\\\".\\\"sex\\\" = \\\"p\\\".\\\"sex\\\"\\n AND \\\"lo\\\".\\\"rn\\\" = \\\"p\\\".\\\"lo_rn\\\"\\nJOIN \\\"ranked\\\" AS \\\"hi\\\"\\n ON \\\"hi\\\".\\\"sex\\\" = \\\"p\\\".\\\"sex\\\"\\n AND \\\"hi\\\".\\\"rn\\\" = \\\"p\\\".\\\"hi_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"sex\", \"percentile_measure\"], \"rows\": [{\"sex\": \"male\", \"percentile_measure\": 38.94}, {\"sex\": \"female\", \"percentile_measure\": 38.665}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 16.8}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2d09152ec9cd433e29f05251d5a0b9d7a54af55e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:50:12.824907+00:00", + "ended_at": "2026-05-19T15:50:50.749241+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_33e02da3bd18ff40", + "problem_id": "v2p_m4_d84815b2f61d2dc5", + "dataset_id": "m4", + "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=sex, measure_col=bmi.", + "bindings": { + "group_col": "sex", + "measure_col": "bmi", + "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": 33.11, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=88" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_33e02da3bd18ff40.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_33e02da3bd18ff40", + "api_calls": 0, + "input_tokens": 13708, + "cached_input_tokens": 12672, + "output_tokens": 2662, + "total_tokens": 16370, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 37903.46, + "sql_execution_elapsed_ms_total": 16.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_33e02da3bd18ff40/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..de9391706115161c7740f1e82504c1c0e9308326 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:50.730196+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": 37903.46, "started_at": "2026-05-19T15:50:12.825659+00:00", "ended_at": "2026-05-19T15:50:50.729142+00:00", "prompt_metrics": {"chars": 5464, "bytes_utf8": 5464, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 1809, "bytes_utf8": 1809, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13708, "cached_input_tokens": 12672, "output_tokens": 2662, "reasoning_output_tokens": 1997}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"sex\\\",\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"bmi_value\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"sex\\\" IS NOT NULL\\n AND TRIM(\\\"sex\\\") <> ''\\n AND \\\"bmi\\\" IS NOT NULL\\n AND TRIM(\\\"bmi\\\") <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"sex\\\",\\n \\\"bmi_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"sex\\\"\\n ORDER BY \\\"bmi_value\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"sex\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"sex\\\",\\n ((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS \\\"pos\\\",\\n CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN ((0.9 * (\\\"cnt\\\" - 1)) + 1.0) = CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n THEN CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n ELSE CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n \\\"p\\\"."} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b7c8b614d5150addd7f3898bd7a3e9f5b7998138 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_33e02da3bd18ff40", + "api_calls": 0, + "input_tokens": 13708, + "cached_input_tokens": 12672, + "output_tokens": 2662, + "total_tokens": 16370, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 37903.46, + "sql_execution_elapsed_ms_total": 16.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6b16e34caab58bb290817b433cbc3b6296fb0b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/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=sex, measure_col=children. +Result preview: [{"sex": "female", "age": "39", "total_measure": 86.0, "share_within_group": 5.818673883626523}, {"sex": "male", "age": "46", "total_measure": 66.0, "share_within_group": 4.187817258883249}, {"sex": "female", "age": "54", "total_measure": 56.0, "share_within_group": 3.7889039242219216}, {"sex": "female", "age": "49", "total_measure": 52.0, "share_within_group": 3.5182679296346415}, {"sex": "male", "age": "33", "total_measure": 54.0, "share_within_group": 3.4263959390862944}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d25177552f2df1df3435038ccff54a0a05fcc58a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/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: m4 +-- 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_m4_3f1f80ccf5c4f7db +-- problem_id: v2p_m4_214954c2335e3b64 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "age", + SUM(CAST("children" AS REAL)) AS total_measure, + SUM(CAST("children" AS REAL)) * 100.0 / SUM(SUM(CAST("children" AS REAL))) OVER (PARTITION BY "sex") AS share_within_group +FROM "m4" +GROUP BY "sex", "age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..173ee019bf18946848164e52e9cc8a5241b44a5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/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 \"sex\", \"age\",\n SUM(CAST(\"children\" AS REAL)) AS total_measure,\n SUM(CAST(\"children\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"children\" AS REAL))) OVER (PARTITION BY \"sex\") AS share_within_group\nFROM \"m4\"\nGROUP BY \"sex\", \"age\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"sex\\\", \\\"age\\\",\\n SUM(CAST(\\\"children\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"children\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"children\\\" AS REAL))) OVER (PARTITION BY \\\"sex\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"sex\", \"age\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"sex\": \"female\", \"age\": \"39\", \"total_measure\": 86.0, \"share_within_group\": 5.818673883626523}, {\"sex\": \"male\", \"age\": \"46\", \"total_measure\": 66.0, \"share_within_group\": 4.187817258883249}, {\"sex\": \"female\", \"age\": \"54\", \"total_measure\": 56.0, \"share_within_group\": 3.7889039242219216}, {\"sex\": \"female\", \"age\": \"49\", \"total_measure\": 52.0, \"share_within_group\": 3.5182679296346415}, {\"sex\": \"male\", \"age\": \"33\", \"total_measure\": 54.0, \"share_within_group\": 3.4263959390862944}, {\"sex\": \"male\", \"age\": \"25\", \"total_measure\": 52.0, \"share_within_group\": 3.299492385786802}, {\"sex\": \"male\", \"age\": \"28\", \"total_measure\": 52.0, \"share_within_group\": 3.299492385786802}, {\"sex\": \"female\", \"age\": \"53\", \"total_measure\": 48.0, \"share_within_group\": 3.2476319350473615}, {\"sex\": \"male\", \"age\": \"45\", \"total_measure\": 50.0, \"share_within_group\": 3.1725888324873095}, {\"sex\": \"male\", \"age\": \"47\", \"total_measure\": 50.0, \"share_within_group\": 3.1725888324873095}, {\"sex\": \"male\", \"age\": \"52\", \"total_measure\": 50.0, \"share_within_group\": 3.1725888324873095}, {\"sex\": \"female\", \"age\": \"50\", \"total_measure\": 46.0, \"share_within_group\": 3.1123139377537212}, {\"sex\": \"male\", \"age\": \"31\", \"total_measure\": 48.0, \"share_within_group\": 3.045685279187817}, {\"sex\": \"male\", \"age\": \"35\", \"total_measure\": 48.0, \"share_within_group\": 3.045685279187817}, {\"sex\": \"male\", \"age\": \"37\", \"total_measure\": 48.0, \"share_within_group\": 3.045685279187817}, {\"sex\": \"male\", \"age\": \"43\", \"total_measure\": 48.0, \"share_within_group\": 3.045685279187817}, {\"sex\": \"female\", \"age\": \"19\", \"total_measure\": 44.0, \"share_within_group\": 2.976995940460081}, {\"sex\": \"female\", \"age\": \"40\", \"total_measure\": 44.0, \"share_within_group\": 2.976995940460081}, {\"sex\": \"male\", \"age\": \"32\", \"total_measure\": 46.0, \"share_within_group\": 2.918781725888325}, {\"sex\": \"male\", \"age\": \"41\", \"total_measure\": 46.0, \"share_within_group\": 2.918781725888325}, {\"sex\": \"male\", \"age\": \"44\", \"total_measure\": 46.0, \"share_within_group\": 2.918781725888325}, {\"sex\": \"female\", \"age\": \"45\", \"total_measure\": 42.0, \"share_within_group\": 2.841677943166441}, {\"sex\": \"female\", \"age\": \"52\", \"total_measure\": 42.0, \"share_within_group\": 2.841677943166441}, {\"sex\": \"male\", \"age\": \"30\", \"total_measure\": 44.0, \"share_within_group\": 2.7918781725888326}, {\"sex\": \"female\", \"age\": \"30\", \"total_measure\": 40.0, \"share_within_group\": 2.706359945872801}, {\"sex\": \"female\", \"age\": \"43\", \"total_measure\": 40.0, \"share_within_group\": 2.706359945872801}, {\"sex\": \"male\", \"age\": \"18\", \"total_measure\": 42.0, \"share_within_group\": 2.66497461928934}, {\"sex\": \"male\", \"age\": \"40\", \"total_measure\": 42.0, \"share_within_group\": 2.66497461928934}, {\"sex\": \"female\", \"age\": \"46\", \"total_measure\": 38.0, \"share_within_group\": 2.571041948579161}, {\"sex\": \"female\", \"age\": \"59\", \"total_measure\": 38.0, \"share_within_group\": 2.571041948579161}, {\"sex\": \"male\", \"age\": \"36\", \"total_measure\": 40.0, \"share_within_group\": 2.5380710659898478}, {\"sex\": \"male\", \"age\": \"48\", \"total_measure\": 40.0, \"share_within_group\": 2.5380710659898478}, {\"sex\": \"female\", \"age\": \"26\", \"total_measure\": 36.0, \"share_within_group\": 2.435723951285521}, {\"sex\": \"female\", \"age\": \"34\", \"total_measure\": 36.0, \"share_within_group\": 2.435723951285521}, {\"sex\": \"female\", \"age\": \"35\", \"total_measure\": 36.0, \"share_within_group\": 2.435723951285521}, {\"sex\": \"female\", \"age\": \"38\", \"total_measure\": 36.0, \"share_within_group\": 2.435723951285521}, {\"sex\": \"female\", \"age\": \"48\", \"total_measure\": 36.0, \"share_within_group\": 2.435723951285521}, {\"sex\": \"male\", \"age\": \"38\", \"total_measure\": 38.0, \"share_within_group\": 2.4111675126903553}, {\"sex\": \"female\", \"age\": \"33\", \"total_measure\": 34.0, \"share_within_group\": 2.300405953991881}, {\"sex\": \"female\", \"age\": \"37\", \"total_measure\": 34.0, \"share_within_group\": 2.300405953991881}, {\"sex\": \"female\", \"age\": \"47\", \"total_measure\": 34.0, \"share_within_group\": 2.300405953991881}, {\"sex\": \"male\", \"age\": \"29\", \"total_measure\": 36.0, \"share_within_group\": 2.284263959390863}, {\"sex\": \"male\", \"age\": \"39\", \"total_measure\": 36.0, \"share_within_group\": 2.284263959390863}, {\"sex\": \"female\", \"age\": \"29\", \"total_measure\": 32.0, \"share_within_group\": 2.165087956698241}, {\"sex\": \"female\", \"age\": \"41\", \"total_measure\": 32.0, \"share_within_group\": 2.165087956698241}, {\"sex\": \"female\", \"age\": \"55\", \"total_measure\": 32.0, \"share_within_group\": 2.165087956698241}, {\"sex\": \"male\", \"age\": \"20\", \"total_measure\": 34.0, \"share_within_group\": 2.1573604060913705}, {\"sex\": \"male\", \"age\": \"51\", \"total_measure\": 34.0, \"share_within_group\": 2.1573604060913705}, {\"sex\": \"male\", \"age\": \"49\", \"total_measure\": 32.0, \"share_within_group\": 2.030456852791878}, {\"sex\": \"female\", \"age\": \"23\", \"total_measure\": 30.0, \"share_within_group\": 2.029769959404601}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..48f7b877416b27a31e53f56d333770de8fadabc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:36:16.461781+00:00", + "ended_at": "2026-05-19T15:36:31.106520+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_3f1f80ccf5c4f7db", + "problem_id": "v2p_m4_214954c2335e3b64", + "dataset_id": "m4", + "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=sex, measure_col=children.", + "bindings": { + "group_col": "sex", + "measure_col": "children", + "item_col": "age", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=32" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "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/m4/sql/v2q_m4_3f1f80ccf5c4f7db.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_3f1f80ccf5c4f7db", + "api_calls": 0, + "input_tokens": 13786, + "cached_input_tokens": 12672, + "output_tokens": 502, + "total_tokens": 14288, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14634.66, + "sql_execution_elapsed_ms_total": 5.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6f85db2cfae81ae664de2aaecb023079755ac490 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:31.098672+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": 14634.66, "started_at": "2026-05-19T15:36:16.462678+00:00", "ended_at": "2026-05-19T15:36:31.097365+00:00", "prompt_metrics": {"chars": 5695, "bytes_utf8": 5695, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 571, "bytes_utf8": 571, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13786, "cached_input_tokens": 12672, "output_tokens": 502, "reasoning_output_tokens": 345}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"sex\\\", \\\"age\\\",\\n SUM(CAST(\\\"children\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"children\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"children\\\" AS REAL))) OVER (PARTITION BY \\\"sex\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided Within-Group Share of Total template with group_col=\\\"sex\\\", item_col=\\\"age\\\", and measure_col=\\\"children\\\". Cast \\\"children\\\" to REAL because the schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5a9efb7e13e58b820ab874fb844d7a5864b835ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_3f1f80ccf5c4f7db", + "api_calls": 0, + "input_tokens": 13786, + "cached_input_tokens": 12672, + "output_tokens": 502, + "total_tokens": 14288, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14634.66, + "sql_execution_elapsed_ms_total": 5.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3f1f80ccf5c4f7db/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_410a404cf6b5ee0a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9e3a2bd3c233c9e5e56c841aafc8377222dad5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/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=sex, measure_col=bmi. +Result preview: [{"sex": "male", "avg_measure": 30.960633001422476}, {"sex": "female", "avg_measure": 30.434472913616396}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8aed420705bf58831eff2e7a727fd582dfa72f26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/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: m4 +-- 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_m4_410a404cf6b5ee0a +-- problem_id: v2p_m4_2e1db484b8452a15 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "sex", + AVG(CAST("bmi" AS REAL)) OVER (PARTITION BY "sex") AS avg_measure +FROM "m4" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cc7d7a580146328b0b4cef80e284029dc2b7577c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"sex\",\n AVG(CAST(\"bmi\" AS REAL)) OVER (PARTITION BY \"sex\") AS avg_measure\nFROM \"m4\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"sex\\\",\\n AVG(CAST(\\\"bmi\\\" AS REAL)) OVER (PARTITION BY \\\"sex\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"sex\", \"avg_measure\"], \"rows\": [{\"sex\": \"male\", \"avg_measure\": 30.960633001422476}, {\"sex\": \"female\", \"avg_measure\": 30.434472913616396}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 12.67}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a4906a8c6cfdade047164726d540213ec71bb74e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:00:29.032282+00:00", + "ended_at": "2026-05-19T16:00:40.297021+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_410a404cf6b5ee0a", + "problem_id": "v2p_m4_2e1db484b8452a15", + "dataset_id": "m4", + "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=sex, measure_col=bmi.", + "bindings": { + "group_col": "sex", + "measure_col": "bmi", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=136" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_410a404cf6b5ee0a.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_410a404cf6b5ee0a", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12032, + "output_tokens": 239, + "total_tokens": 13921, + "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": 10244.13, + "sql_execution_elapsed_ms_total": 12.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_410a404cf6b5ee0a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1c2632b8ed415f08c47f13b40d5b05261576af95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:00:32.272604+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": 3238.75, "started_at": "2026-05-19T16:00:29.033074+00:00", "ended_at": "2026-05-19T16:00:32.271846+00:00", "prompt_metrics": {"chars": 5371, "bytes_utf8": 5371, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f7-9a7c-74c3-a1fc-03575759df91\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:00:40.281078+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": 7005.38, "started_at": "2026-05-19T16:00:33.274016+00:00", "ended_at": "2026-05-19T16:00:40.279449+00:00", "prompt_metrics": {"chars": 5371, "bytes_utf8": 5371, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 357, "bytes_utf8": 357, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13682, "cached_input_tokens": 12032, "output_tokens": 239, "reasoning_output_tokens": 141}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"sex\\\",\\n AVG(CAST(\\\"bmi\\\" AS REAL)) OVER (PARTITION BY \\\"sex\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"sex\\\" and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" from TEXT to REAL for SQLite aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fef2a292e715735410f5fc733c097efd13ed3251 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_410a404cf6b5ee0a", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12032, + "output_tokens": 239, + "total_tokens": 13921, + "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": 10244.13, + "sql_execution_elapsed_ms_total": 12.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_480f865f77a09619/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..164dd5f3b64a25bbbbd56066725af6e5c30d5a99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/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=region, measure_col=bmi. +Result preview: [{"region": "southeast", "group_value": 25644.74}, {"region": "southwest", "group_value": 20919.8}, {"region": "northwest", "group_value": 19353.78}, {"region": "northeast", "group_value": 19185.82}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..246f0d9841884f7bcd66ffb5946a1a29154fc23d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/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: m4 +-- 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_m4_480f865f77a09619 +-- problem_id: v2p_m4_ee25121a6e95c812 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "region", SUM(CAST("bmi" AS REAL)) AS "group_value" + FROM "m4" + GROUP BY "region" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."region", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..052e7d86c53dd1b2be150b390d9ba46ca0350f61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"region\", SUM(CAST(\"bmi\" AS REAL)) AS \"group_value\"\n FROM \"m4\"\n GROUP BY \"region\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"region\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"region\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m4\\\"\\n GROUP BY \\\"region\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"region\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"region\", \"group_value\"], \"rows\": [{\"region\": \"southeast\", \"group_value\": 25644.74}, {\"region\": \"southwest\", \"group_value\": 20919.8}, {\"region\": \"northwest\", \"group_value\": 19353.78}, {\"region\": \"northeast\", \"group_value\": 19185.82}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ff5f353dadb5adc99a231acfaf82195087fd922f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:44:42.581577+00:00", + "ended_at": "2026-05-19T15:44:56.938629+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_480f865f77a09619", + "problem_id": "v2p_m4_ee25121a6e95c812", + "dataset_id": "m4", + "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=region, measure_col=bmi.", + "bindings": { + "group_col": "region", + "measure_col": "bmi", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 33.11, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=8", + "sql_variant_index=2/2", + "binding_index=79" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "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/m4/sql/v2q_m4_480f865f77a09619.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_480f865f77a09619", + "api_calls": 0, + "input_tokens": 13806, + "cached_input_tokens": 12672, + "output_tokens": 457, + "total_tokens": 14263, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14350.01, + "sql_execution_elapsed_ms_total": 3.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_480f865f77a09619/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9e7ba3bf3808f98f6a225dd150919284da255459 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:56.933528+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": 14350.01, "started_at": "2026-05-19T15:44:42.582314+00:00", "ended_at": "2026-05-19T15:44:56.932355+00:00", "prompt_metrics": {"chars": 5847, "bytes_utf8": 5847, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 620, "bytes_utf8": 620, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13806, "cached_input_tokens": 12672, "output_tokens": 457, "reasoning_output_tokens": 274}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"region\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m4\\\"\\n GROUP BY \\\"region\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"region\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the required template with group_col=\\\"region\\\" and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" from TEXT to REAL for SQLite numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9cd2bceea2a90415c41c60d55c14c36037f0db75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_480f865f77a09619", + "api_calls": 0, + "input_tokens": 13806, + "cached_input_tokens": 12672, + "output_tokens": 457, + "total_tokens": 14263, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14350.01, + "sql_execution_elapsed_ms_total": 3.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_4e02c7edd524b3ac/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8150a9bf9a267f610868bf07bc11f257b282b320 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/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=smoker, measure_col=age. +Result preview: [{"smoker": "no", "avg_measure": 39.27536231884058}, {"smoker": "yes", "avg_measure": 38.46099290780142}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..dd48184b5f60d91d2ef1d3c4d909bc4bf3b18a96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/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: m4 +-- 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_m4_4e02c7edd524b3ac +-- problem_id: v2p_m4_8bb6192f6b2226f2 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "smoker", + AVG(CAST("age" AS REAL)) OVER (PARTITION BY "smoker") AS avg_measure +FROM "m4" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6e4699383682cda66fa4e69997a02e3e7528dfc0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"smoker\",\n AVG(CAST(\"age\" AS REAL)) OVER (PARTITION BY \"smoker\") AS avg_measure\nFROM \"m4\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"smoker\\\",\\n AVG(CAST(\\\"age\\\" AS REAL)) OVER (PARTITION BY \\\"smoker\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"smoker\", \"avg_measure\"], \"rows\": [{\"smoker\": \"no\", \"avg_measure\": 39.27536231884058}, {\"smoker\": \"yes\", \"avg_measure\": 38.46099290780142}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.99}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..56a0300fa50513a47c359c05d91ea3d7f8718897 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:28.122782+00:00", + "ended_at": "2026-05-19T16:01:40.719755+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_4e02c7edd524b3ac", + "problem_id": "v2p_m4_8bb6192f6b2226f2", + "dataset_id": "m4", + "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=smoker, measure_col=age.", + "bindings": { + "group_col": "smoker", + "measure_col": "age", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=138" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_4e02c7edd524b3ac.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_4e02c7edd524b3ac", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12032, + "output_tokens": 258, + "total_tokens": 13940, + "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": 11585.65, + "sql_execution_elapsed_ms_total": 4.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_4e02c7edd524b3ac/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3dfb17b85e150e0bf7a9bf4984f8ef5f0ad2d8a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:01:31.261058+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": 3135.57, "started_at": "2026-05-19T16:01:28.124731+00:00", "ended_at": "2026-05-19T16:01:31.260337+00:00", "prompt_metrics": {"chars": 5375, "bytes_utf8": 5375, "lines": 180, "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\":\"019e40f8-8147-7232-8119-f1f70faa4054\"}\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": "2026-05-19T16:01:40.713379+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": 8450.08, "started_at": "2026-05-19T16:01:32.262250+00:00", "ended_at": "2026-05-19T16:01:40.712369+00:00", "prompt_metrics": {"chars": 5375, "bytes_utf8": 5375, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 391, "bytes_utf8": 391, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13682, "cached_input_tokens": 12032, "output_tokens": 258, "reasoning_output_tokens": 156}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"smoker\\\",\\n AVG(CAST(\\\"age\\\" AS REAL)) OVER (PARTITION BY \\\"smoker\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the provided Window Partition Average template with group_col=\\\"smoker\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" to REAL because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..21b4ed256a5c4c1fe5bfc57edd1105e46a985068 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_4e02c7edd524b3ac", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12032, + "output_tokens": 258, + "total_tokens": 13940, + "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": 11585.65, + "sql_execution_elapsed_ms_total": 4.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_4e766c6556cb1d51/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8dbb30333e578b6c4cd511f4e113d7bc2aa56fdb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/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=children, measure_col=children. +Result preview: [{"children": "2", "group_value": 992.0}, {"children": "3", "group_value": 972.0}, {"children": "1", "group_value": 672.0}, {"children": "5", "group_value": 210.0}, {"children": "4", "group_value": 208.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..209da3b7605dc110ca2e0a277275b3cc5679429f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/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: m4 +-- 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_m4_4e766c6556cb1d51 +-- problem_id: v2p_m4_d8dad3a6ef055461 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "children", SUM(CAST("children" AS REAL)) AS group_value + FROM "m4" + GROUP BY "children" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."children", 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/m4/artifacts/v2q_m4_4e766c6556cb1d51/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4bdef508157c156cd1c7727627739c32997295e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/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 \"children\", SUM(CAST(\"children\" AS REAL)) AS group_value\n FROM \"m4\"\n GROUP BY \"children\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"children\", 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 \\\"children\\\", SUM(CAST(\\\"children\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"children\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"children\\\", 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\": [\"children\", \"group_value\"], \"rows\": [{\"children\": \"2\", \"group_value\": 992.0}, {\"children\": \"3\", \"group_value\": 972.0}, {\"children\": \"1\", \"group_value\": 672.0}, {\"children\": \"5\", \"group_value\": 210.0}, {\"children\": \"4\", \"group_value\": 208.0}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.52}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1182b4e40ad26754a5fedc13602565b86e851530 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:43:53.025199+00:00", + "ended_at": "2026-05-19T15:44:05.236201+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_4e766c6556cb1d51", + "problem_id": "v2p_m4_d8dad3a6ef055461", + "dataset_id": "m4", + "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=children, measure_col=children.", + "bindings": { + "group_col": "children", + "measure_col": "children", + "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": 1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=77" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_4e766c6556cb1d51.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_4e766c6556cb1d51", + "api_calls": 0, + "input_tokens": 13805, + "cached_input_tokens": 12672, + "output_tokens": 462, + "total_tokens": 14267, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12204.98, + "sql_execution_elapsed_ms_total": 1.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_4e766c6556cb1d51/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..be18346ea6a7bbfbd4e7219bba24d04746b9054b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:05.233224+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": 12204.98, "started_at": "2026-05-19T15:43:53.027235+00:00", "ended_at": "2026-05-19T15:44:05.232252+00:00", "prompt_metrics": {"chars": 5859, "bytes_utf8": 5859, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 611, "bytes_utf8": 611, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13805, "cached_input_tokens": 12672, "output_tokens": 462, "reasoning_output_tokens": 303}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"children\\\", SUM(CAST(\\\"children\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"children\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"children\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the required template with group_col=\\\"children\\\" and measure_col=\\\"children\\\". Casts \\\"children\\\" to REAL because the schema stores numeric fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..099dd4a2ea36fd9685753ef6fa79ed36ae83addd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_4e766c6556cb1d51", + "api_calls": 0, + "input_tokens": 13805, + "cached_input_tokens": 12672, + "output_tokens": 462, + "total_tokens": 14267, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12204.98, + "sql_execution_elapsed_ms_total": 1.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_569d9d5212cdb55e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..de436b24916758456ba741e55b65414acfa5c64f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:20.379574+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": 7331.08, "started_at": "2026-05-19T15:56:13.046975+00:00", "ended_at": "2026-05-19T15:56:20.378092+00:00", "prompt_metrics": {"chars": 5240, "bytes_utf8": 5240, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 357, "bytes_utf8": 357, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13660, "cached_input_tokens": 12032, "output_tokens": 224, "reasoning_output_tokens": 122}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"children\\\" AS REAL) <= 2.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m4\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"children\\\" and measure_threshold fixed at 2.0; cast was added because the schema stores values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b3b72d1608cc6b4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b3b72d1608cc6b4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4c9681b8049e3e69287cd4fbb8419c57b10e4f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b3b72d1608cc6b4/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/m4/artifacts/v2q_m4_5b3b72d1608cc6b4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b3b72d1608cc6b4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c62cc09611d09273feb42b04f8f38989d2c7bfd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b3b72d1608cc6b4/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: m4 +-- 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_m4_5b3b72d1608cc6b4 +-- problem_id: v2p_m4_d25ba59bfccb1034 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "charges", + COUNT(*) AS support, + AVG("children") AS avg_response +FROM "m4" +GROUP BY "charges" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b3b72d1608cc6b4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b3b72d1608cc6b4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d25344c538e31baca17736124147a89083c90ec1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b3b72d1608cc6b4/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: m4\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_m4_5b3b72d1608cc6b4\n-- problem_id: v2p_m4_d25ba59bfccb1034\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"charges\",\n COUNT(*) AS support,\n AVG(\"children\") AS avg_response\nFROM \"m4\"\nGROUP BY \"charges\"\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: m4\\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_m4_5b3b72d1608cc6b4\\n-- problem_id: v2p_m4_d25ba59bfccb1034\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"charges\\\",\\n COUNT(*) AS support,\\n AVG(\\\"children\\\") AS avg_response\\nFROM \\\"m4\\\"\\nGROUP BY \\\"charges\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"charges\", \"support\", \"avg_response\"], \"rows\": [], \"row_count_returned\": 0, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.6}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b3b72d1608cc6b4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b3b72d1608cc6b4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6cd891c7fb6ae285c1c024cd53608beaafaadf90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b3b72d1608cc6b4/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:40.769327+00:00", + "ended_at": "2026-05-19T16:01:40.771485+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_5b3b72d1608cc6b4", + "problem_id": "v2p_m4_d25ba59bfccb1034", + "dataset_id": "m4", + "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=children, key_col=charges.", + "bindings": { + "key_col": "charges", + "measure_col": "children", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5b3b72d1608cc6b4.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/m4/artifacts/v2q_m4_5b3b72d1608cc6b4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b3b72d1608cc6b4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b3b72d1608cc6b4/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/m4/artifacts/v2q_m4_62f2028f51a63d27/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..39f6960b97450cd8d09f51dd183a89e3e6304f44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=smoker. +Result preview: [{"smoker": "yes", "support": 564}, {"smoker": "no", "support": 2208}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5e6f308bb4869063458daf9eaa00b32a1c239278 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/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: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m4_62f2028f51a63d27 +-- problem_id: v2p_m4_1b2bb7c4276a214b +-- realization_mode: agent +-- source_kind: agent +SELECT + "smoker", + COUNT(*) AS support +FROM "m4" +GROUP BY "smoker" +ORDER BY support ASC, "smoker" +LIMIT 17; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5f668ca5df7748748b15c82ceeb093a81eaf5982 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/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 \"smoker\",\n COUNT(*) AS support\nFROM \"m4\"\nGROUP BY \"smoker\"\nORDER BY support ASC, \"smoker\"\nLIMIT 17;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"smoker\\\",\\n COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY support ASC, \\\"smoker\\\"\\nLIMIT 17;\", \"columns\": [\"smoker\", \"support\"], \"rows\": [{\"smoker\": \"yes\", \"support\": 564}, {\"smoker\": \"no\", \"support\": 2208}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.24}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..eda30fba49061b0cb3c391e9670ab8697c84c05c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:57:49.817379+00:00", + "ended_at": "2026-05-19T15:58:01.066085+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_62f2028f51a63d27", + "problem_id": "v2p_m4_1b2bb7c4276a214b", + "dataset_id": "m4", + "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=smoker.", + "bindings": { + "group_col": "smoker", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "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=3", + "sql_variant_index=2/2", + "binding_index=122" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "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/m4/sql/v2q_m4_62f2028f51a63d27.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_62f2028f51a63d27", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12672, + "output_tokens": 212, + "total_tokens": 13894, + "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": 10239.34, + "sql_execution_elapsed_ms_total": 2.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_62f2028f51a63d27/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0cc2c54eb94f9913e13d316982f9d101a012a6dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:57:52.866740+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": 3047.43, "started_at": "2026-05-19T15:57:49.818325+00:00", "ended_at": "2026-05-19T15:57:52.865779+00:00", "prompt_metrics": {"chars": 5290, "bytes_utf8": 5290, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-2c82-7cd2-9fc7-02087cd4014a\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:58:01.061085+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": 7191.91, "started_at": "2026-05-19T15:57:53.867588+00:00", "ended_at": "2026-05-19T15:58:01.059539+00:00", "prompt_metrics": {"chars": 5290, "bytes_utf8": 5290, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 345, "bytes_utf8": 345, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13682, "cached_input_tokens": 12672, "output_tokens": 212, "reasoning_output_tokens": 117}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"smoker\\\",\\n COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY support ASC, \\\"smoker\\\"\\nLIMIT 17;\",\"notes\":\"Applies the Low-Support Group Count template with group_col bound to \\\"smoker\\\", returning smoker groups ordered from lowest support to highest.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..72856268c21c3369de8e0e46868a458caf452829 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_62f2028f51a63d27", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12672, + "output_tokens": 212, + "total_tokens": 13894, + "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": 10239.34, + "sql_execution_elapsed_ms_total": 2.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_62f2028f51a63d27/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_6cd91329cb03aaf2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..df6244f17225b84e23f23ef44c71e8e21ae3e617 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=children, condition_col=sex. +Result preview: [{"children": "4", "condition_rate": 0.5769230769230769}, {"children": "5", "condition_rate": 0.5714285714285714}, {"children": "1", "condition_rate": 0.5148809523809523}, {"children": "2", "condition_rate": 0.5080645161290323}, {"children": "3", "condition_rate": 0.5}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..080c062952fc8876c2e40f8cd9236c4c61d6fed9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/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: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m4_6cd91329cb03aaf2 +-- problem_id: v2p_m4_48caab7639036ff5 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", + AVG(CASE WHEN "sex" = 'male' THEN 1 ELSE 0 END) AS condition_rate +FROM "m4" +GROUP BY "children" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ccdec117a2f2fadc6b3641830374d721271330ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/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 \"children\",\n AVG(CASE WHEN \"sex\" = 'male' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m4\"\nGROUP BY \"children\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"children\\\",\\n AVG(CASE WHEN \\\"sex\\\" = 'male' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"children\", \"condition_rate\"], \"rows\": [{\"children\": \"4\", \"condition_rate\": 0.5769230769230769}, {\"children\": \"5\", \"condition_rate\": 0.5714285714285714}, {\"children\": \"1\", \"condition_rate\": 0.5148809523809523}, {\"children\": \"2\", \"condition_rate\": 0.5080645161290323}, {\"children\": \"3\", \"condition_rate\": 0.5}, {\"children\": \"0\", \"condition_rate\": 0.4991568296795953}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.61}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..56762e06b7885ce14320f1857ee96ec1f64900c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:54:56.296621+00:00", + "ended_at": "2026-05-19T15:55:09.965640+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_6cd91329cb03aaf2", + "problem_id": "v2p_m4_48caab7639036ff5", + "dataset_id": "m4", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=children, condition_col=sex.", + "bindings": { + "group_col": "children", + "condition_col": "sex", + "condition_value": "male", + "positive_value": "male", + "negative_value": "female", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "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=1/2", + "binding_index=101" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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/m4/sql/v2q_m4_6cd91329cb03aaf2.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_6cd91329cb03aaf2", + "api_calls": 0, + "input_tokens": 13730, + "cached_input_tokens": 12672, + "output_tokens": 343, + "total_tokens": 14073, + "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": 12661.8, + "sql_execution_elapsed_ms_total": 1.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_6cd91329cb03aaf2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..91a4d4cd00d129974aa05fdcf27fd989597f3d18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:54:59.576230+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": 3277.92, "started_at": "2026-05-19T15:54:56.297403+00:00", "ended_at": "2026-05-19T15:54:59.575356+00:00", "prompt_metrics": {"chars": 5540, "bytes_utf8": 5540, "lines": 183, "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\":\"019e40f2-86c8-7000-b2e6-43dbfcd049a7\"}\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": "2026-05-19T15:55:09.962529+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": 9383.88, "started_at": "2026-05-19T15:55:00.577796+00:00", "ended_at": "2026-05-19T15:55:09.961727+00:00", "prompt_metrics": {"chars": 5540, "bytes_utf8": 5540, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 349, "bytes_utf8": 349, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13730, "cached_input_tokens": 12672, "output_tokens": 343, "reasoning_output_tokens": 252}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"children\\\",\\n AVG(CASE WHEN \\\"sex\\\" = 'male' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Computes the proportion of male profiles within each children group using the requested Grouped Condition Rate template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..58f429c47d955420d4004308f346d002e38af346 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_6cd91329cb03aaf2", + "api_calls": 0, + "input_tokens": 13730, + "cached_input_tokens": 12672, + "output_tokens": 343, + "total_tokens": 14073, + "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": 12661.8, + "sql_execution_elapsed_ms_total": 1.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_7df7e7b85d7cf803/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7924452bb7873fb46b20c829e89015f9e1fbc548 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/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=region, measure_col=age. +Result preview: [{"region": "northeast", "bmi": "32.3", "total_measure": 716.0, "share_within_group": 2.772829370304392}, {"region": "southwest", "bmi": "27.5", "total_measure": 656.0, "share_within_group": 2.4343179456731483}, {"region": "southeast", "bmi": "38.06", "total_measure": 646.0, "share_within_group": 2.1756702141991107}, {"region": "northeast", "bmi": "30.78", "total_measure": 558.0, "share_within_group": 2.1609480288126406}, {"region": "southwest", "bmi": "25.8", "total_measure": 582.0, "share_within_group": 2.159715006679531}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..152de804ef1ad58cae357cae9a925f7b7a8f187f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/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: m4 +-- 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_m4_7df7e7b85d7cf803 +-- problem_id: v2p_m4_30d616042a8664c6 +-- realization_mode: agent +-- source_kind: agent +SELECT + "region", + "bmi", + SUM(CAST("age" AS REAL)) AS total_measure, + SUM(CAST("age" AS REAL)) * 100.0 / SUM(SUM(CAST("age" AS REAL))) OVER (PARTITION BY "region") AS share_within_group +FROM "m4" +GROUP BY "region", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6cfbedd8d938e6c785ae441e24dbad476b6f36fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/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 \"region\",\n \"bmi\",\n SUM(CAST(\"age\" AS REAL)) AS total_measure,\n SUM(CAST(\"age\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"age\" AS REAL))) OVER (PARTITION BY \"region\") AS share_within_group\nFROM \"m4\"\nGROUP BY \"region\", \"bmi\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"region\\\",\\n \\\"bmi\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"age\\\" AS REAL))) OVER (PARTITION BY \\\"region\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"region\", \"bmi\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"region\": \"northeast\", \"bmi\": \"32.3\", \"total_measure\": 716.0, \"share_within_group\": 2.772829370304392}, {\"region\": \"southwest\", \"bmi\": \"27.5\", \"total_measure\": 656.0, \"share_within_group\": 2.4343179456731483}, {\"region\": \"southeast\", \"bmi\": \"38.06\", \"total_measure\": 646.0, \"share_within_group\": 2.1756702141991107}, {\"region\": \"northeast\", \"bmi\": \"30.78\", \"total_measure\": 558.0, \"share_within_group\": 2.1609480288126406}, {\"region\": \"southwest\", \"bmi\": \"25.8\", \"total_measure\": 582.0, \"share_within_group\": 2.159715006679531}, {\"region\": \"northwest\", \"bmi\": \"30.495\", \"total_measure\": 548.0, \"share_within_group\": 2.111753371868979}, {\"region\": \"northwest\", \"bmi\": \"28.31\", \"total_measure\": 542.0, \"share_within_group\": 2.0886319845857417}, {\"region\": \"southwest\", \"bmi\": \"30.8\", \"total_measure\": 532.0, \"share_within_group\": 1.9741724803324923}, {\"region\": \"southwest\", \"bmi\": \"30.2\", \"total_measure\": 520.0, \"share_within_group\": 1.929642274009203}, {\"region\": \"northeast\", \"bmi\": \"25.46\", \"total_measure\": 496.0, \"share_within_group\": 1.9208426922779025}, {\"region\": \"northwest\", \"bmi\": \"27.645\", \"total_measure\": 490.0, \"share_within_group\": 1.8882466281310213}, {\"region\": \"southwest\", \"bmi\": \"37.1\", \"total_measure\": 500.0, \"share_within_group\": 1.8554252634703874}, {\"region\": \"southeast\", \"bmi\": \"33.33\", \"total_measure\": 542.0, \"share_within_group\": 1.8254075171763438}, {\"region\": \"northwest\", \"bmi\": \"32.775\", \"total_measure\": 466.0, \"share_within_group\": 1.7957610789980731}, {\"region\": \"northwest\", \"bmi\": \"30.875\", \"total_measure\": 458.0, \"share_within_group\": 1.764932562620424}, {\"region\": \"southwest\", \"bmi\": \"34.8\", \"total_measure\": 474.0, \"share_within_group\": 1.7589431497699273}, {\"region\": \"northeast\", \"bmi\": \"29.83\", \"total_measure\": 448.0, \"share_within_group\": 1.734954689799396}, {\"region\": \"northwest\", \"bmi\": \"35.815\", \"total_measure\": 444.0, \"share_within_group\": 1.7109826589595376}, {\"region\": \"southwest\", \"bmi\": \"28.7\", \"total_measure\": 460.0, \"share_within_group\": 1.7069912423927565}, {\"region\": \"southwest\", \"bmi\": \"35.3\", \"total_measure\": 458.0, \"share_within_group\": 1.699569541338875}, {\"region\": \"southeast\", \"bmi\": \"29.92\", \"total_measure\": 494.0, \"share_within_group\": 1.6637478108581436}, {\"region\": \"northwest\", \"bmi\": \"24.32\", \"total_measure\": 420.0, \"share_within_group\": 1.6184971098265897}, {\"region\": \"southeast\", \"bmi\": \"35.2\", \"total_measure\": 462.0, \"share_within_group\": 1.555974673312677}, {\"region\": \"southwest\", \"bmi\": \"28.9\", \"total_measure\": 416.0, \"share_within_group\": 1.5437138192073623}, {\"region\": \"northeast\", \"bmi\": \"32.395\", \"total_measure\": 398.0, \"share_within_group\": 1.5413213538842847}, {\"region\": \"northwest\", \"bmi\": \"32.3\", \"total_measure\": 396.0, \"share_within_group\": 1.5260115606936415}, {\"region\": \"southeast\", \"bmi\": \"36.08\", \"total_measure\": 440.0, \"share_within_group\": 1.4818806412501684}, {\"region\": \"southwest\", \"bmi\": \"31.6\", \"total_measure\": 398.0, \"share_within_group\": 1.4769185097224284}, {\"region\": \"northwest\", \"bmi\": \"33.63\", \"total_measure\": 376.0, \"share_within_group\": 1.4489402697495184}, {\"region\": \"northeast\", \"bmi\": \"27.74\", \"total_measure\": 370.0, \"share_within_group\": 1.4328866857718225}, {\"region\": \"southwest\", \"bmi\": \"25.6\", \"total_measure\": 384.0, \"share_within_group\": 1.4249666023452576}, {\"region\": \"northeast\", \"bmi\": \"27.36\", \"total_measure\": 360.0, \"share_within_group\": 1.3941600185888003}, {\"region\": \"southeast\", \"bmi\": \"39.16\", \"total_measure\": 412.0, \"share_within_group\": 1.387579145897885}, {\"region\": \"southeast\", \"bmi\": \"34.21\", \"total_measure\": 410.0, \"share_within_group\": 1.3808433248012932}, {\"region\": \"southwest\", \"bmi\": \"33.1\", \"total_measure\": 370.0, \"share_within_group\": 1.3730146949680866}, {\"region\": \"southeast\", \"bmi\": \"27.83\", \"total_measure\": 402.0, \"share_within_group\": 1.3539000404149266}, {\"region\": \"southeast\", \"bmi\": \"35.97\", \"total_measure\": 400.0, \"share_within_group\": 1.3471642193183349}, {\"region\": \"northwest\", \"bmi\": \"26.695\", \"total_measure\": 346.0, \"share_within_group\": 1.3333333333333333}, {\"region\": \"northeast\", \"bmi\": \"31.825\", \"total_measure\": 344.0, \"share_within_group\": 1.3321973510959646}, {\"region\": \"northwest\", \"bmi\": \"30.02\", \"total_measure\": 342.0, \"share_within_group\": 1.3179190751445087}, {\"region\": \"northwest\", \"bmi\": \"31.16\", \"total_measure\": 342.0, \"share_within_group\": 1.3179190751445087}, {\"region\": \"southwest\", \"bmi\": \"27.6\", \"total_measure\": 354.0, \"share_within_group\": 1.3136410865370343}, {\"region\": \"southwest\", \"bmi\": \"30.5\", \"total_measure\": 354.0, \"share_within_group\": 1.3136410865370343}, {\"region\": \"southeast\", \"bmi\": \"42.13\", \"total_measure\": 390.0, \"share_within_group\": 1.3134851138353765}, {\"region\": \"northeast\", \"bmi\": \"32.11\", \"total_measure\": 336.0, \"share_within_group\": 1.3012160173495468}, {\"region\": \"northwest\", \"bmi\": \"32.965\", \"total_measure\": 334.0, \"share_within_group\": 1.2870905587668593}, {\"region\": \"southwest\", \"bmi\": \"37.4\", \"total_measure\": 346.0, \"share_within_group\": 1.283954282321508}, {\"region\": \"southeast\", \"bmi\": \"33.66\", \"total_measure\": 378.0, \"share_within_group\": 1.2730701872558265}, {\"region\": \"southwest\", \"bmi\": \"36.1\", \"total_measure\": 340.0, \"share_within_group\": 1.2616891791598634}, {\"region\": \"northwest\", \"bmi\": \"28.215\", \"total_measure\": 326.0, \"share_within_group\": 1.25626204238921}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.78}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0c01939bd70b2be9c1a765ad0b333d45d31d651c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:33:11.866532+00:00", + "ended_at": "2026-05-19T15:33:25.024879+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_7df7e7b85d7cf803", + "problem_id": "v2p_m4_30d616042a8664c6", + "dataset_id": "m4", + "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=region, measure_col=age.", + "bindings": { + "group_col": "region", + "measure_col": "age", + "item_col": "bmi", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=1/2", + "binding_index=27" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_7df7e7b85d7cf803.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_7df7e7b85d7cf803", + "api_calls": 0, + "input_tokens": 13787, + "cached_input_tokens": 12032, + "output_tokens": 681, + "total_tokens": 14468, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13142.65, + "sql_execution_elapsed_ms_total": 9.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_7df7e7b85d7cf803/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7ce6439d4393411d40da28f68b964cea4a5ed52e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:25.011678+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": 13142.65, "started_at": "2026-05-19T15:33:11.867487+00:00", "ended_at": "2026-05-19T15:33:25.010172+00:00", "prompt_metrics": {"chars": 5690, "bytes_utf8": 5690, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 549, "bytes_utf8": 549, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13787, "cached_input_tokens": 12032, "output_tokens": 681, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"region\\\",\\n \\\"bmi\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"age\\\" AS REAL))) OVER (PARTITION BY \\\"region\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned Within-Group Share of Total template with \\\"region\\\" as group_col, \\\"bmi\\\" as item_col, and CAST(\\\"age\\\" AS REAL) as the numeric measure because the schema stores values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a17eefd0220a7361e7495deb4de8ec0720b93d6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_7df7e7b85d7cf803", + "api_calls": 0, + "input_tokens": 13787, + "cached_input_tokens": 12032, + "output_tokens": 681, + "total_tokens": 14468, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13142.65, + "sql_execution_elapsed_ms_total": 9.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_823141da7e8faa47/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d93a6f11ef67c4f18818701a5baa2ca3e2456773 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/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=smoker, measure_col=age. +Result preview: [{"smoker": "yes", "percentile_measure": 59.0}, {"smoker": "no", "percentile_measure": 58.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..06bb997ce138c2a09d0afe68eddd55a0351f60cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/generated_sql.sql @@ -0,0 +1,64 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_823141da7e8faa47 +-- problem_id: v2p_m4_f124336c58985c65 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "smoker", + CAST("age" AS REAL) AS "age_value", + ROW_NUMBER() OVER ( + PARTITION BY "smoker" + ORDER BY CAST("age" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "smoker" + ) AS "cnt" + FROM "m4" + WHERE "smoker" IS NOT NULL + AND "age" IS NOT NULL +), +"positions" AS ( + SELECT DISTINCT + "smoker", + (1.0 + ("cnt" - 1) * 0.9) AS "pos", + CAST(1.0 + ("cnt" - 1) * 0.9 AS INTEGER) AS "lower_rn", + CAST(1.0 + ("cnt" - 1) * 0.9 AS INTEGER) + CASE + WHEN (1.0 + ("cnt" - 1) * 0.9) > CAST(1.0 + ("cnt" - 1) * 0.9 AS INTEGER) THEN 1 + ELSE 0 + END AS "upper_rn" + FROM "ordered" +), +"bounds" AS ( + SELECT + p."smoker", + p."pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."age_value" END) AS "lower_value", + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."age_value" END) AS "upper_value" + FROM "positions" AS p + JOIN "ordered" AS o + ON o."smoker" = p."smoker" + GROUP BY + p."smoker", + p."pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "smoker", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("pos" - "lower_rn") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..31b7fd4097875fa321e2924f01741569e6ecb36f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/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 \"smoker\",\n CAST(\"age\" AS REAL) AS \"age_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"smoker\"\n ORDER BY CAST(\"age\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"smoker\"\n ) AS \"cnt\"\n FROM \"m4\"\n WHERE \"smoker\" IS NOT NULL\n AND \"age\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"smoker\",\n (1.0 + (\"cnt\" - 1) * 0.9) AS \"pos\",\n CAST(1.0 + (\"cnt\" - 1) * 0.9 AS INTEGER) AS \"lower_rn\",\n CAST(1.0 + (\"cnt\" - 1) * 0.9 AS INTEGER) + CASE\n WHEN (1.0 + (\"cnt\" - 1) * 0.9) > CAST(1.0 + (\"cnt\" - 1) * 0.9 AS INTEGER) THEN 1\n ELSE 0\n END AS \"upper_rn\"\n FROM \"ordered\"\n),\n\"bounds\" AS (\n SELECT\n p.\"smoker\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"age_value\" END) AS \"lower_value\",\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"age_value\" END) AS \"upper_value\"\n FROM \"positions\" AS p\n JOIN \"ordered\" AS o\n ON o.\"smoker\" = p.\"smoker\"\n GROUP BY\n p.\"smoker\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"smoker\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"smoker\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"smoker\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"smoker\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"smoker\\\" IS NOT NULL\\n AND \\\"age\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"smoker\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.9) AS \\\"pos\\\",\\n CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INTEGER) + CASE\\n WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.9) > CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"smoker\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"age_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"age_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ordered\\\" AS o\\n ON o.\\\"smoker\\\" = p.\\\"smoker\\\"\\n GROUP BY\\n p.\\\"smoker\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"smoker\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"smoker\", \"percentile_measure\"], \"rows\": [{\"smoker\": \"yes\", \"percentile_measure\": 59.0}, {\"smoker\": \"no\", \"percentile_measure\": 58.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 24.58}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b84ba9ad88d04ef35f5d62dcfa610925396ce98b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:51:52.310169+00:00", + "ended_at": "2026-05-19T15:52:10.562577+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_823141da7e8faa47", + "problem_id": "v2p_m4_f124336c58985c65", + "dataset_id": "m4", + "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=smoker, measure_col=age.", + "bindings": { + "group_col": "smoker", + "measure_col": "age", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=2/2", + "binding_index=90" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "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/m4/sql/v2q_m4_823141da7e8faa47.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_823141da7e8faa47", + "api_calls": 0, + "input_tokens": 13709, + "cached_input_tokens": 12672, + "output_tokens": 1100, + "total_tokens": 14809, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18220.54, + "sql_execution_elapsed_ms_total": 24.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_823141da7e8faa47/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..967f745c7c0adb67e259ab3917128313286a1630 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:52:10.534138+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": 18220.54, "started_at": "2026-05-19T15:51:52.311405+00:00", "ended_at": "2026-05-19T15:52:10.531977+00:00", "prompt_metrics": {"chars": 5469, "bytes_utf8": 5469, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 1680, "bytes_utf8": 1680, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13709, "cached_input_tokens": 12672, "output_tokens": 1100, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"smoker\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"smoker\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"smoker\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"smoker\\\" IS NOT NULL\\n AND \\\"age\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"smoker\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.9) AS \\\"pos\\\",\\n CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INTEGER) + CASE\\n WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.9) > CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"smoker\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"age_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a3deac115f4bea9f732483b45bc795734c05eda6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_823141da7e8faa47", + "api_calls": 0, + "input_tokens": 13709, + "cached_input_tokens": 12672, + "output_tokens": 1100, + "total_tokens": 14809, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18220.54, + "sql_execution_elapsed_ms_total": 24.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_840a699ddaf30de8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e5025f1c3a6716a6e16f23c4c3c99edc096b40d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/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=children. +Result preview: [{"empirical_cdf_at_threshold": 0.8492063492063492}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..172cd833df14a8788e30938ca7d7079edf458d4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/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: m4 +-- 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_m4_840a699ddaf30de8 +-- problem_id: v2p_m4_5546b00ff91329cf +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("children" AS REAL) <= 2.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m4"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..65696d56b343d799bf9f5dcd81325cc1bdfd1ec6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/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(\"children\" AS REAL) <= 2.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m4\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"children\\\" AS REAL) <= 2.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m4\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.8492063492063492}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..28a58a482c4d6ce59b6d028b476cf09a8dd1e59f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:56:42.108068+00:00", + "ended_at": "2026-05-19T15:56:50.184956+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_840a699ddaf30de8", + "problem_id": "v2p_m4_5546b00ff91329cf", + "dataset_id": "m4", + "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=children.", + "bindings": { + "measure_col": "children", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=113" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_840a699ddaf30de8.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_840a699ddaf30de8", + "api_calls": 0, + "input_tokens": 13660, + "cached_input_tokens": 12032, + "output_tokens": 252, + "total_tokens": 13912, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8072.53, + "sql_execution_elapsed_ms_total": 0.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_840a699ddaf30de8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1d8521f3237f709d6d0ff3a541c7134b8f3fd83c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:50.182488+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": 8072.53, "started_at": "2026-05-19T15:56:42.108986+00:00", "ended_at": "2026-05-19T15:56:50.181555+00:00", "prompt_metrics": {"chars": 5239, "bytes_utf8": 5239, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 384, "bytes_utf8": 384, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13660, "cached_input_tokens": 12032, "output_tokens": 252, "reasoning_output_tokens": 145}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"children\\\" AS REAL) <= 2.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m4\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"children\\\" and measure_threshold fixed at 2.0. Cast \\\"children\\\" to REAL because the schema stores numeric-looking values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..dd06ce3204b3e36b4fc1e84bb2c11c09f46ebd59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_840a699ddaf30de8", + "api_calls": 0, + "input_tokens": 13660, + "cached_input_tokens": 12032, + "output_tokens": 252, + "total_tokens": 13912, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8072.53, + "sql_execution_elapsed_ms_total": 0.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_840a699ddaf30de8/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_8423d8d29605e103/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..861dae8cbcbbe4eb84fef423c47d19e47b8b2796 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/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=children, measure_col=children. +Result preview: [{"children": "5", "percentile_measure": 5.0}, {"children": "4", "percentile_measure": 4.0}, {"children": "3", "percentile_measure": 3.0}, {"children": "2", "percentile_measure": 2.0}, {"children": "1", "percentile_measure": 1.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..43a00e57748b68dd598d73a226fa44159bbcd279 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/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: m4 +-- 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_m4_8423d8d29605e103 +-- problem_id: v2p_m4_11ff62ea6fa705e4 +-- realization_mode: agent +-- source_kind: agent +SELECT + "children", + MAX(CAST("children" AS REAL)) AS "percentile_measure" +FROM "m4" +WHERE "children" IS NOT NULL +GROUP BY "children" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ed8d7090ca45e7b8898b0857b20c81df26438cab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/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\nSELECT\n \"children\",\n MAX(CAST(\"children\" AS REAL)) AS \"percentile_measure\"\nFROM \"m4\"\nWHERE \"children\" IS NOT NULL\nGROUP BY \"children\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"children\\\",\\n MAX(CAST(\\\"children\\\" AS REAL)) AS \\\"percentile_measure\\\"\\nFROM \\\"m4\\\"\\nWHERE \\\"children\\\" IS NOT NULL\\nGROUP BY \\\"children\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"children\", \"percentile_measure\"], \"rows\": [{\"children\": \"5\", \"percentile_measure\": 5.0}, {\"children\": \"4\", \"percentile_measure\": 4.0}, {\"children\": \"3\", \"percentile_measure\": 3.0}, {\"children\": \"2\", \"percentile_measure\": 2.0}, {\"children\": \"1\", \"percentile_measure\": 1.0}, {\"children\": \"0\", \"percentile_measure\": 0.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.62}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e139ddc76c54c07f5c91cf1f4be117114d208601 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:50:50.749793+00:00", + "ended_at": "2026-05-19T15:51:03.945646+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_8423d8d29605e103", + "problem_id": "v2p_m4_11ff62ea6fa705e4", + "dataset_id": "m4", + "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=children, measure_col=children.", + "bindings": { + "group_col": "children", + "measure_col": "children", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_8423d8d29605e103.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_8423d8d29605e103", + "api_calls": 0, + "input_tokens": 13707, + "cached_input_tokens": 12672, + "output_tokens": 586, + "total_tokens": 14293, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13190.42, + "sql_execution_elapsed_ms_total": 1.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_8423d8d29605e103/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..60cf8a91f9c19d8519ec63335c88fe2cfe1b8cc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:03.942569+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": 13190.42, "started_at": "2026-05-19T15:50:50.750867+00:00", "ended_at": "2026-05-19T15:51:03.941308+00:00", "prompt_metrics": {"chars": 5480, "bytes_utf8": 5480, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 548, "bytes_utf8": 550, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13707, "cached_input_tokens": 12672, "output_tokens": 586, "reasoning_output_tokens": 448}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"children\\\",\\n MAX(CAST(\\\"children\\\" AS REAL)) AS \\\"percentile_measure\\\"\\nFROM \\\"m4\\\"\\nWHERE \\\"children\\\" IS NOT NULL\\nGROUP BY \\\"children\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Because both group_col and measure_col are \\\"children\\\", every row within a group has the same measure value, so the 90th percentile within each group is exactly that group’s children value. CAST to REAL is used because the column is stored as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a18ae301529d3de97c408ee713152f32a9409004 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_8423d8d29605e103", + "api_calls": 0, + "input_tokens": 13707, + "cached_input_tokens": 12672, + "output_tokens": 586, + "total_tokens": 14293, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13190.42, + "sql_execution_elapsed_ms_total": 1.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_8848815575227678/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a45f36145a9ddf8ae02d199efeb0025ed9df53a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/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=children. +Result preview: [{"children": "5"}, {"children": "5"}, {"children": "5"}, {"children": "5"}, {"children": "5"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4e590ee512e97fca736e161fc916b48e10109da4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/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: m4 +-- 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_m4_8848815575227678 +-- problem_id: v2p_m4_76eb27e52dad9f7a +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "children", + NTILE(10) OVER (ORDER BY CAST("children" AS INTEGER) DESC) AS tail_bucket + FROM "m4" +) +SELECT "children" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("children" AS INTEGER) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..28a1de753e2c2f1bf8feacb15716e95536a6171c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/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 \"children\",\n NTILE(10) OVER (ORDER BY CAST(\"children\" AS INTEGER) DESC) AS tail_bucket\n FROM \"m4\"\n)\nSELECT \"children\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"children\" AS INTEGER) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"children\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"children\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"m4\\\"\\n)\\nSELECT \\\"children\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"children\\\" AS INTEGER) DESC;\", \"columns\": [\"children\"], \"rows\": [{\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"4\"}, {\"children\": \"4\"}, {\"children\": \"4\"}, {\"children\": \"4\"}, {\"children\": \"4\"}, {\"children\": \"4\"}, {\"children\": \"4\"}, {\"children\": \"4\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 3.38}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f92e04a79c8c21554618b906b537b5a84056ae1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:40:11.506552+00:00", + "ended_at": "2026-05-19T15:40:23.727287+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_8848815575227678", + "problem_id": "v2p_m4_76eb27e52dad9f7a", + "dataset_id": "m4", + "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=children.", + "bindings": { + "measure_col": "children", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=62" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_8848815575227678.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_8848815575227678", + "api_calls": 0, + "input_tokens": 13724, + "cached_input_tokens": 12032, + "output_tokens": 532, + "total_tokens": 14256, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12213.55, + "sql_execution_elapsed_ms_total": 3.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_8848815575227678/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f46a4edc4f8876c4bb64afbebf69c1c53696aef4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:23.722578+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": 12213.55, "started_at": "2026-05-19T15:40:11.508206+00:00", "ended_at": "2026-05-19T15:40:23.721792+00:00", "prompt_metrics": {"chars": 5474, "bytes_utf8": 5474, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 488, "bytes_utf8": 488, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13724, "cached_input_tokens": 12032, "output_tokens": 532, "reasoning_output_tokens": 403}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"children\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"children\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"m4\\\"\\n)\\nSELECT \\\"children\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"children\\\" AS INTEGER) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col=\\\"children\\\" and num_tiles=10. CAST to INTEGER is used because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..932739f04c9654e69748a2357aabee9fea853b23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_8848815575227678", + "api_calls": 0, + "input_tokens": 13724, + "cached_input_tokens": 12032, + "output_tokens": 532, + "total_tokens": 14256, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12213.55, + "sql_execution_elapsed_ms_total": 3.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_898a7c59c2698148/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_898a7c59c2698148/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..04603bbaf76476d4c250a2b68b1c0cb2fc4cffcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_898a7c59c2698148/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=sex, measure_col=age. +Result preview: [{"sex": "male", "group_value": 54480.0}, {"sex": "female", "group_value": 53932.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_898a7c59c2698148/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_898a7c59c2698148/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2afdb05fdbca4e37b35a37ddc95bc05de62a2311 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_898a7c59c2698148/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: m4 +-- 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_m4_898a7c59c2698148 +-- problem_id: v2p_m4_6192d3b0a176e08f +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "sex", SUM(CAST("age" AS REAL)) AS group_value + FROM "m4" + GROUP BY "sex" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."sex", 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/m4/artifacts/v2q_m4_898a7c59c2698148/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_898a7c59c2698148/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cc9862f472642f41eb2b4574c9b23d2b1a852082 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_898a7c59c2698148/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 \"sex\", SUM(CAST(\"age\" AS REAL)) AS group_value\n FROM \"m4\"\n GROUP BY \"sex\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"sex\", 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 \\\"sex\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"sex\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"sex\\\", 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\": [\"sex\", \"group_value\"], \"rows\": [{\"sex\": \"male\", \"group_value\": 54480.0}, {\"sex\": \"female\", \"group_value\": 53932.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.77}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_898a7c59c2698148/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_898a7c59c2698148/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5cf54db38ce3a3bea8cf14252148441b0a9a2501 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_898a7c59c2698148/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:41:20.175454+00:00", + "ended_at": "2026-05-19T15:41:31.763170+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_898a7c59c2698148", + "problem_id": "v2p_m4_6192d3b0a176e08f", + "dataset_id": "m4", + "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=sex, measure_col=age.", + "bindings": { + "group_col": "sex", + "measure_col": "age", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=1/2", + "binding_index=72" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "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/m4/sql/v2q_m4_898a7c59c2698148.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_898a7c59c2698148", + "api_calls": 0, + "input_tokens": 13805, + "cached_input_tokens": 12032, + "output_tokens": 390, + "total_tokens": 14195, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11581.62, + "sql_execution_elapsed_ms_total": 1.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_898a7c59c2698148/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_898a7c59c2698148/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_898a7c59c2698148/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..22c8a04a9937c504e54bc1b1d0f90be298e09b72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_898a7c59c2698148/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:31.759759+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": 11581.62, "started_at": "2026-05-19T15:41:20.177085+00:00", "ended_at": "2026-05-19T15:41:31.758741+00:00", "prompt_metrics": {"chars": 5838, "bytes_utf8": 5838, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 628, "bytes_utf8": 628, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13805, "cached_input_tokens": 12032, "output_tokens": 390, "reasoning_output_tokens": 223}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"sex\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"sex\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"sex\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the provided Relative-to-Total Extreme Threshold template with group_col=\\\"sex\\\", measure_col=\\\"age\\\", and fraction_threshold=0.1. Cast \\\"age\\\" from TEXT to REAL for SQLite-compatible numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_898a7c59c2698148/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_898a7c59c2698148/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7c6bf65fa36ddea675fb7d5ba37538c9cf52ccba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_898a7c59c2698148/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_898a7c59c2698148", + "api_calls": 0, + "input_tokens": 13805, + "cached_input_tokens": 12032, + "output_tokens": 390, + "total_tokens": 14195, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11581.62, + "sql_execution_elapsed_ms_total": 1.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_898a7c59c2698148/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_8f546c7b03b4a889/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..14bc9b862751ebf124f2d99d890d32313f3074c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/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=smoker, measure_col=age. +Result preview: [{"smoker": "no", "group_value": 86720.0}, {"smoker": "yes", "group_value": 21692.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..75ef6d1789ec8deda4a1d43bb316f0b3a4029a4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/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: m4 +-- 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_m4_8f546c7b03b4a889 +-- problem_id: v2p_m4_07b4855fb40925e9 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "smoker", SUM(CAST("age" AS REAL)) AS group_value + FROM "m4" + GROUP BY "smoker" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."smoker", 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/m4/artifacts/v2q_m4_8f546c7b03b4a889/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a34553839b1e2bf50aa677bac4ac64b35961bd72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/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 \"smoker\", SUM(CAST(\"age\" AS REAL)) AS group_value\n FROM \"m4\"\n GROUP BY \"smoker\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"smoker\", 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 \\\"smoker\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"smoker\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"smoker\\\", 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\": [\"smoker\", \"group_value\"], \"rows\": [{\"smoker\": \"no\", \"group_value\": 86720.0}, {\"smoker\": \"yes\", \"group_value\": 21692.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.7}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba68dc2d6f0dc65d3af7278ee84507e0095f89b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:44:05.236779+00:00", + "ended_at": "2026-05-19T15:44:18.248328+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_8f546c7b03b4a889", + "problem_id": "v2p_m4_07b4855fb40925e9", + "dataset_id": "m4", + "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=smoker, measure_col=age.", + "bindings": { + "group_col": "smoker", + "measure_col": "age", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=7", + "sql_variant_index=1/2", + "binding_index=78" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "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/m4/sql/v2q_m4_8f546c7b03b4a889.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_8f546c7b03b4a889", + "api_calls": 0, + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 335, + "total_tokens": 14142, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13004.59, + "sql_execution_elapsed_ms_total": 2.7, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_8f546c7b03b4a889/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3dd2f7a0fac85b47a5f53cc1674b2b46b9469f2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:18.243707+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": 13004.59, "started_at": "2026-05-19T15:44:05.237590+00:00", "ended_at": "2026-05-19T15:44:18.242202+00:00", "prompt_metrics": {"chars": 5844, "bytes_utf8": 5844, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 589, "bytes_utf8": 589, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13807, "cached_input_tokens": 12672, "output_tokens": 335, "reasoning_output_tokens": 173}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"smoker\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"smoker\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"smoker\\\", 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 template with group_col=\\\"smoker\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" to REAL because the schema stores numeric fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1e36dad57a751ab77291917930413014e1058384 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_8f546c7b03b4a889", + "api_calls": 0, + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 335, + "total_tokens": 14142, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13004.59, + "sql_execution_elapsed_ms_total": 2.7, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_979ec3a8f13aaf94/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f13f4b26d051352b9d6c5e9bfa34942c1f395f4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=region, measure_col=age. +Result preview: [{"region": "southeast", "group_value": 29692.0}, {"region": "southwest", "group_value": 26948.0}, {"region": "northwest", "group_value": 25950.0}, {"region": "northeast", "group_value": 25822.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ed1535a0f144f0db0c850ad8afe201ab744ab0ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/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: m4 +-- 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_m4_979ec3a8f13aaf94 +-- problem_id: v2p_m4_cf47602a0c9947c5 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "region", SUM(CAST("age" AS REAL)) AS "group_value" + FROM "m4" + GROUP BY "region" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."region", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.1 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dd0eba7d5cb26dbbc86359835380dc0813a83e22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"region\", SUM(CAST(\"age\" AS REAL)) AS \"group_value\"\n FROM \"m4\"\n GROUP BY \"region\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"region\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"region\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m4\\\"\\n GROUP BY \\\"region\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"region\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"region\", \"group_value\"], \"rows\": [{\"region\": \"southeast\", \"group_value\": 29692.0}, {\"region\": \"southwest\", \"group_value\": 26948.0}, {\"region\": \"northwest\", \"group_value\": 25950.0}, {\"region\": \"northeast\", \"group_value\": 25822.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.25}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4d4afda950032e8f0d0ea2e425b28f79b59523d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:42:39.382461+00:00", + "ended_at": "2026-05-19T15:42:53.834443+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_979ec3a8f13aaf94", + "problem_id": "v2p_m4_cf47602a0c9947c5", + "dataset_id": "m4", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=region, measure_col=age.", + "bindings": { + "group_col": "region", + "measure_col": "age", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=75" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_979ec3a8f13aaf94.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_979ec3a8f13aaf94", + "api_calls": 0, + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 361, + "total_tokens": 14168, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14442.43, + "sql_execution_elapsed_ms_total": 3.25, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_979ec3a8f13aaf94/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1fbceb6853e60c406ec5ec39fc988db8bb2b7407 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:53.828223+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": 14442.43, "started_at": "2026-05-19T15:42:39.384110+00:00", "ended_at": "2026-05-19T15:42:53.826578+00:00", "prompt_metrics": {"chars": 5845, "bytes_utf8": 5845, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 657, "bytes_utf8": 657, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13807, "cached_input_tokens": 12672, "output_tokens": 361, "reasoning_output_tokens": 174}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"region\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m4\\\"\\n GROUP BY \\\"region\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"region\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"region\\\" and measure_col=\\\"age\\\". CAST was added because the schema stores numeric fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5045d448e942233b6208d0ebabb94c80fb572ff3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_979ec3a8f13aaf94", + "api_calls": 0, + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 361, + "total_tokens": 14168, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14442.43, + "sql_execution_elapsed_ms_total": 3.25, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_98050910f47e12b8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7a521b01ed2818226d4433e718899bc61c91ed5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/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=children. +Result preview: [{"children": "5", "support": 42}, {"children": "4", "support": 52}, {"children": "3", "support": 324}, {"children": "2", "support": 496}, {"children": "1", "support": 672}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9616c31f654a0259fe804c80617dbbca75f623f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/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: m4 +-- 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_m4_98050910f47e12b8 +-- problem_id: v2p_m4_2991d0b3319a2db8 +-- realization_mode: agent +-- source_kind: agent +SELECT + "children", + COUNT(*) AS support +FROM "m4" +GROUP BY "children" +ORDER BY support ASC, "children" +LIMIT 15; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7d900b4b3e4ccacd843b07b47b3b0688674cbb9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/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 \"children\",\n COUNT(*) AS support\nFROM \"m4\"\nGROUP BY \"children\"\nORDER BY support ASC, \"children\"\nLIMIT 15;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"children\\\",\\n COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY support ASC, \\\"children\\\"\\nLIMIT 15;\", \"columns\": [\"children\", \"support\"], \"rows\": [{\"children\": \"5\", \"support\": 42}, {\"children\": \"4\", \"support\": 52}, {\"children\": \"3\", \"support\": 324}, {\"children\": \"2\", \"support\": 496}, {\"children\": \"1\", \"support\": 672}, {\"children\": \"0\", \"support\": 1186}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.69}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..011e141d6c36ca65c87697ea72fffeaca78c6654 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:58:39.433629+00:00", + "ended_at": "2026-05-19T15:58:46.781825+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_98050910f47e12b8", + "problem_id": "v2p_m4_2991d0b3319a2db8", + "dataset_id": "m4", + "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=children.", + "bindings": { + "group_col": "children", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=125" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_98050910f47e12b8.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_98050910f47e12b8", + "api_calls": 0, + "input_tokens": 13681, + "cached_input_tokens": 12672, + "output_tokens": 234, + "total_tokens": 13915, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7340.42, + "sql_execution_elapsed_ms_total": 2.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_98050910f47e12b8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4811cda96bea50054147e37e75df4bf6fde44326 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:58:46.776419+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": 7340.42, "started_at": "2026-05-19T15:58:39.434379+00:00", "ended_at": "2026-05-19T15:58:46.774831+00:00", "prompt_metrics": {"chars": 5294, "bytes_utf8": 5294, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 349, "bytes_utf8": 349, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13681, "cached_input_tokens": 12672, "output_tokens": 234, "reasoning_output_tokens": 137}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"children\\\",\\n COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY support ASC, \\\"children\\\"\\nLIMIT 15;\",\"notes\":\"Applied the provided Low-Support Group Count template with group_col bound to \\\"children\\\" and top_k=15. No joins or non-SQLite features used.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..87e681e2b0b6e9e2f291a6b2590196e80b4b0974 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_98050910f47e12b8", + "api_calls": 0, + "input_tokens": 13681, + "cached_input_tokens": 12672, + "output_tokens": 234, + "total_tokens": 13915, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7340.42, + "sql_execution_elapsed_ms_total": 2.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98050910f47e12b8/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..596ad5b4398a6a042de9145e48df4e93a1db1837 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/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=children, measure_col=children. +Result preview: [{"children": "5", "age": "39", "total_measure": 50.0, "share_within_group": 23.80952380952381}, {"children": "4", "age": "48", "total_measure": 24.0, "share_within_group": 11.538461538461538}, {"children": "5", "age": "20", "total_measure": 20.0, "share_within_group": 9.523809523809524}, {"children": "5", "age": "28", "total_measure": 20.0, "share_within_group": 9.523809523809524}, {"children": "5", "age": "33", "total_measure": 20.0, "share_within_group": 9.523809523809524}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6e00b6348cef61c031f0c464b107fa7c303b234b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/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: m4 +-- 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_m4_98ccb0e6b2ff9872 +-- problem_id: v2p_m4_dbe80a13c71fc21d +-- realization_mode: agent +-- source_kind: agent +SELECT "children", "age", + SUM(CAST("children" AS REAL)) AS total_measure, + SUM(CAST("children" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("children" AS REAL))) OVER (PARTITION BY "children"), 0) AS share_within_group +FROM "m4" +GROUP BY "children", "age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8618123e88138342c387fbdca5ce01fae0f029e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/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 \"children\", \"age\",\n SUM(CAST(\"children\" AS REAL)) AS total_measure,\n SUM(CAST(\"children\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\"children\" AS REAL))) OVER (PARTITION BY \"children\"), 0) AS share_within_group\nFROM \"m4\"\nGROUP BY \"children\", \"age\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"children\\\", \\\"age\\\",\\n SUM(CAST(\\\"children\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"children\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"children\\\" AS REAL))) OVER (PARTITION BY \\\"children\\\"), 0) AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"children\", \"age\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"children\": \"5\", \"age\": \"39\", \"total_measure\": 50.0, \"share_within_group\": 23.80952380952381}, {\"children\": \"4\", \"age\": \"48\", \"total_measure\": 24.0, \"share_within_group\": 11.538461538461538}, {\"children\": \"5\", \"age\": \"20\", \"total_measure\": 20.0, \"share_within_group\": 9.523809523809524}, {\"children\": \"5\", \"age\": \"28\", \"total_measure\": 20.0, \"share_within_group\": 9.523809523809524}, {\"children\": \"5\", \"age\": \"33\", \"total_measure\": 20.0, \"share_within_group\": 9.523809523809524}, {\"children\": \"5\", \"age\": \"46\", \"total_measure\": 20.0, \"share_within_group\": 9.523809523809524}, {\"children\": \"4\", \"age\": \"25\", \"total_measure\": 16.0, \"share_within_group\": 7.6923076923076925}, {\"children\": \"4\", \"age\": \"33\", \"total_measure\": 16.0, \"share_within_group\": 7.6923076923076925}, {\"children\": \"4\", \"age\": \"40\", \"total_measure\": 16.0, \"share_within_group\": 7.6923076923076925}, {\"children\": \"3\", \"age\": \"54\", \"total_measure\": 54.0, \"share_within_group\": 5.555555555555555}, {\"children\": \"1\", \"age\": \"47\", \"total_measure\": 36.0, \"share_within_group\": 5.357142857142857}, {\"children\": \"3\", \"age\": \"30\", \"total_measure\": 48.0, \"share_within_group\": 4.938271604938271}, {\"children\": \"5\", \"age\": \"19\", \"total_measure\": 10.0, \"share_within_group\": 4.761904761904762}, {\"children\": \"5\", \"age\": \"25\", \"total_measure\": 10.0, \"share_within_group\": 4.761904761904762}, {\"children\": \"5\", \"age\": \"31\", \"total_measure\": 10.0, \"share_within_group\": 4.761904761904762}, {\"children\": \"5\", \"age\": \"41\", \"total_measure\": 10.0, \"share_within_group\": 4.761904761904762}, {\"children\": \"5\", \"age\": \"43\", \"total_measure\": 10.0, \"share_within_group\": 4.761904761904762}, {\"children\": \"5\", \"age\": \"45\", \"total_measure\": 10.0, \"share_within_group\": 4.761904761904762}, {\"children\": \"5\", \"age\": \"49\", \"total_measure\": 10.0, \"share_within_group\": 4.761904761904762}, {\"children\": \"5\", \"age\": \"52\", \"total_measure\": 10.0, \"share_within_group\": 4.761904761904762}, {\"children\": \"2\", \"age\": \"44\", \"total_measure\": 44.0, \"share_within_group\": 4.435483870967742}, {\"children\": \"2\", \"age\": \"45\", \"total_measure\": 44.0, \"share_within_group\": 4.435483870967742}, {\"children\": \"1\", \"age\": \"19\", \"total_measure\": 26.0, \"share_within_group\": 3.869047619047619}, {\"children\": \"1\", \"age\": \"41\", \"total_measure\": 26.0, \"share_within_group\": 3.869047619047619}, {\"children\": \"4\", \"age\": \"18\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"21\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"24\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"26\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"29\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"32\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"35\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"36\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"37\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"39\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"47\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"49\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"50\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"51\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"56\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"57\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"61\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"3\", \"age\": \"22\", \"total_measure\": 36.0, \"share_within_group\": 3.7037037037037037}, {\"children\": \"3\", \"age\": \"46\", \"total_measure\": 36.0, \"share_within_group\": 3.7037037037037037}, {\"children\": \"3\", \"age\": \"52\", \"total_measure\": 36.0, \"share_within_group\": 3.7037037037037037}, {\"children\": \"3\", \"age\": \"53\", \"total_measure\": 36.0, \"share_within_group\": 3.7037037037037037}, {\"children\": \"3\", \"age\": \"59\", \"total_measure\": 36.0, \"share_within_group\": 3.7037037037037037}, {\"children\": \"2\", \"age\": \"29\", \"total_measure\": 36.0, \"share_within_group\": 3.629032258064516}, {\"children\": \"2\", \"age\": \"37\", \"total_measure\": 36.0, \"share_within_group\": 3.629032258064516}, {\"children\": \"2\", \"age\": \"43\", \"total_measure\": 36.0, \"share_within_group\": 3.629032258064516}, {\"children\": \"2\", \"age\": \"52\", \"total_measure\": 36.0, \"share_within_group\": 3.629032258064516}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 2.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7316dd7f9bebd518fb0f01271cd9f11ecfc71ea6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:34:41.401985+00:00", + "ended_at": "2026-05-19T15:34:59.985638+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_98ccb0e6b2ff9872", + "problem_id": "v2p_m4_dbe80a13c71fc21d", + "dataset_id": "m4", + "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=children, measure_col=children.", + "bindings": { + "group_col": "children", + "measure_col": "children", + "item_col": "age", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=29" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_98ccb0e6b2ff9872.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_98ccb0e6b2ff9872", + "api_calls": 0, + "input_tokens": 13787, + "cached_input_tokens": 12672, + "output_tokens": 687, + "total_tokens": 14474, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18576.57, + "sql_execution_elapsed_ms_total": 2.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e08110d17ad1e8b12ddefe475bc532a5cbe1c1c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:59.981183+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": 18576.57, "started_at": "2026-05-19T15:34:41.403758+00:00", "ended_at": "2026-05-19T15:34:59.980364+00:00", "prompt_metrics": {"chars": 5710, "bytes_utf8": 5710, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 631, "bytes_utf8": 631, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13787, "cached_input_tokens": 12672, "output_tokens": 687, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"children\\\", \\\"age\\\",\\n SUM(CAST(\\\"children\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"children\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"children\\\" AS REAL))) OVER (PARTITION BY \\\"children\\\"), 0) AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned template with group_col=\\\"children\\\", item_col=\\\"age\\\", and measure_col=\\\"children\\\". Cast \\\"children\\\" from TEXT to REAL for aggregation and used NULLIF in the denominator to avoid division-by-zero for the children=0 group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9c4a7e1bc949fd6d76f657ece21aabeff14dfb45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_98ccb0e6b2ff9872", + "api_calls": 0, + "input_tokens": 13787, + "cached_input_tokens": 12672, + "output_tokens": 687, + "total_tokens": 14474, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18576.57, + "sql_execution_elapsed_ms_total": 2.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_98ccb0e6b2ff9872/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2e075afa38151ea4bc193a84928fce5e705dfb34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/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 \"smoker\", \"bmi\",\n SUM(CAST(\"age\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"age\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"age\" AS REAL))) OVER (PARTITION BY \"smoker\") AS \"share_within_group\"\nFROM \"m4\"\nGROUP BY \"smoker\", \"bmi\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"smoker\\\", \\\"bmi\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"age\\\" AS REAL))) OVER (PARTITION BY \\\"smoker\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\", \\\"bmi\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"smoker\", \"bmi\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"smoker\": \"no\", \"bmi\": \"32.3\", \"total_measure\": 1206.0, \"share_within_group\": 1.3906826568265682}, {\"smoker\": \"yes\", \"bmi\": \"28.31\", \"total_measure\": 290.0, \"share_within_group\": 1.3368983957219251}, {\"smoker\": \"yes\", \"bmi\": \"38.06\", \"total_measure\": 276.0, \"share_within_group\": 1.2723584731698323}, {\"smoker\": \"yes\", \"bmi\": \"23.655\", \"total_measure\": 270.0, \"share_within_group\": 1.2446985063617924}, {\"smoker\": \"yes\", \"bmi\": \"36.96\", \"total_measure\": 256.0, \"share_within_group\": 1.1801585838096995}, {\"smoker\": \"yes\", \"bmi\": \"36.08\", \"total_measure\": 242.0, \"share_within_group\": 1.1156186612576064}, {\"smoker\": \"yes\", \"bmi\": \"33.63\", \"total_measure\": 240.0, \"share_within_group\": 1.1063986723215933}, {\"smoker\": \"yes\", \"bmi\": \"22.895\", \"total_measure\": 238.0, \"share_within_group\": 1.09717868338558}, {\"smoker\": \"yes\", \"bmi\": \"26.695\", \"total_measure\": 236.0, \"share_within_group\": 1.0879586944495667}, {\"smoker\": \"yes\", \"bmi\": \"42.13\", \"total_measure\": 222.0, \"share_within_group\": 1.0234187718974737}, {\"smoker\": \"yes\", \"bmi\": \"35.53\", \"total_measure\": 218.0, \"share_within_group\": 1.004978794025447}, {\"smoker\": \"yes\", \"bmi\": \"26.885\", \"total_measure\": 214.0, \"share_within_group\": 0.9865388161534207}, {\"smoker\": \"yes\", \"bmi\": \"31.35\", \"total_measure\": 208.0, \"share_within_group\": 0.9588788493453808}, {\"smoker\": \"yes\", \"bmi\": \"41.8\", \"total_measure\": 208.0, \"share_within_group\": 0.9588788493453808}, {\"smoker\": \"yes\", \"bmi\": \"24.42\", \"total_measure\": 206.0, \"share_within_group\": 0.9496588604093675}, {\"smoker\": \"yes\", \"bmi\": \"40.565\", \"total_measure\": 204.0, \"share_within_group\": 0.9404388714733543}, {\"smoker\": \"yes\", \"bmi\": \"35.3\", \"total_measure\": 198.0, \"share_within_group\": 0.9127789046653144}, {\"smoker\": \"yes\", \"bmi\": \"27.74\", \"total_measure\": 196.0, \"share_within_group\": 0.9035589157293011}, {\"smoker\": \"yes\", \"bmi\": \"22.99\", \"total_measure\": 188.0, \"share_within_group\": 0.866678959985248}, {\"smoker\": \"yes\", \"bmi\": \"34.96\", \"total_measure\": 188.0, \"share_within_group\": 0.866678959985248}, {\"smoker\": \"yes\", \"bmi\": \"36.3\", \"total_measure\": 184.0, \"share_within_group\": 0.8482389821132215}, {\"smoker\": \"yes\", \"bmi\": \"28.025\", \"total_measure\": 182.0, \"share_within_group\": 0.8390189931772082}, {\"smoker\": \"yes\", \"bmi\": \"30.495\", \"total_measure\": 182.0, \"share_within_group\": 0.8390189931772082}, {\"smoker\": \"yes\", \"bmi\": \"35.2\", \"total_measure\": 182.0, \"share_within_group\": 0.8390189931772082}, {\"smoker\": \"yes\", \"bmi\": \"29.81\", \"total_measure\": 176.0, \"share_within_group\": 0.8113590263691683}, {\"smoker\": \"yes\", \"bmi\": \"30.8\", \"total_measure\": 176.0, \"share_within_group\": 0.8113590263691683}, {\"smoker\": \"yes\", \"bmi\": \"34.105\", \"total_measure\": 176.0, \"share_within_group\": 0.8113590263691683}, {\"smoker\": \"yes\", \"bmi\": \"34.2\", \"total_measure\": 174.0, \"share_within_group\": 0.8021390374331551}, {\"smoker\": \"yes\", \"bmi\": \"25.3\", \"total_measure\": 172.0, \"share_within_group\": 0.7929190484971418}, {\"smoker\": \"yes\", \"bmi\": \"24.795\", \"total_measure\": 168.0, \"share_within_group\": 0.7744790706251152}, {\"smoker\": \"yes\", \"bmi\": \"29.83\", \"total_measure\": 166.0, \"share_within_group\": 0.765259081689102}, {\"smoker\": \"no\", \"bmi\": \"27.5\", \"total_measure\": 656.0, \"share_within_group\": 0.7564575645756457}, {\"smoker\": \"yes\", \"bmi\": \"29.07\", \"total_measure\": 160.0, \"share_within_group\": 0.7375991148810621}, {\"smoker\": \"yes\", \"bmi\": \"32.775\", \"total_measure\": 160.0, \"share_within_group\": 0.7375991148810621}, {\"smoker\": \"yes\", \"bmi\": \"30.78\", \"total_measure\": 156.0, \"share_within_group\": 0.7191591370090356}, {\"smoker\": \"yes\", \"bmi\": \"24.13\", \"total_measure\": 154.0, \"share_within_group\": 0.7099391480730223}, {\"smoker\": \"yes\", \"bmi\": \"36.955\", \"total_measure\": 154.0, \"share_within_group\": 0.7099391480730223}, {\"smoker\": \"no\", \"bmi\": \"25.46\", \"total_measure\": 614.0, \"share_within_group\": 0.7080258302583026}, {\"smoker\": \"yes\", \"bmi\": \"30.685\", \"total_measure\": 150.0, \"share_within_group\": 0.6914991702009957}, {\"smoker\": \"yes\", \"bmi\": \"38.39\", \"total_measure\": 150.0, \"share_within_group\": 0.6914991702009957}, {\"smoker\": \"yes\", \"bmi\": \"35.75\", \"total_measure\": 148.0, \"share_within_group\": 0.6822791812649824}, {\"smoker\": \"no\", \"bmi\": \"25.8\", \"total_measure\": 582.0, \"share_within_group\": 0.6711254612546126}, {\"smoker\": \"yes\", \"bmi\": \"28.12\", \"total_measure\": 144.0, \"share_within_group\": 0.6638392033929559}, {\"smoker\": \"no\", \"bmi\": \"24.32\", \"total_measure\": 570.0, \"share_within_group\": 0.6572878228782287}, {\"smoker\": \"yes\", \"bmi\": \"20.045\", \"total_measure\": 140.0, \"share_within_group\": 0.6453992255209293}, {\"smoker\": \"yes\", \"bmi\": \"27.36\", \"total_measure\": 140.0, \"share_within_group\": 0.6453992255209293}, {\"smoker\": \"yes\", \"bmi\": \"30.2\", \"total_measure\": 138.0, \"share_within_group\": 0.6361792365849162}, {\"smoker\": \"no\", \"bmi\": \"28.88\", \"total_measure\": 546.0, \"share_within_group\": 0.6296125461254612}, {\"smoker\": \"no\", \"bmi\": \"30.8\", \"total_measure\": 538.0, \"share_within_group\": 0.6203874538745388}, {\"smoker\": \"yes\", \"bmi\": \"33.11\", \"total_measure\": 134.0, \"share_within_group\": 0.6177392587128896}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.18}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5ffff55b909021d335df21be50f9a3e8f631aa16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:35:15.300965+00:00", + "ended_at": "2026-05-19T15:35:29.501555+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_9a4dfc6cf180cbd7", + "problem_id": "v2p_m4_1f4b35a4c04d08c1", + "dataset_id": "m4", + "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=smoker, measure_col=age.", + "bindings": { + "group_col": "smoker", + "measure_col": "age", + "item_col": "bmi", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=30" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_9a4dfc6cf180cbd7.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_9a4dfc6cf180cbd7", + "api_calls": 0, + "input_tokens": 13789, + "cached_input_tokens": 12672, + "output_tokens": 690, + "total_tokens": 14479, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14192.7, + "sql_execution_elapsed_ms_total": 4.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cca74d9b4555bf1eede0d33891dc0b105a45a8d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_9a4dfc6cf180cbd7", + "api_calls": 0, + "input_tokens": 13789, + "cached_input_tokens": 12672, + "output_tokens": 690, + "total_tokens": 14479, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14192.7, + "sql_execution_elapsed_ms_total": 4.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_a030230844480125/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..45ddb1153e6d3554166b3bcc6a612d279f6211d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/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=smoker, measure_col=children. +Result preview: [{"smoker": "yes", "avg_measure": 1.1170212765957446}, {"smoker": "no", "avg_measure": 1.0978260869565217}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fe0a6955afccd718c0b409e8c0f3cc49f7105860 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/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: m4 +-- 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_m4_a030230844480125 +-- problem_id: v2p_m4_799d7b32d9a15742 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "smoker", + AVG(CAST("children" AS REAL)) OVER (PARTITION BY "smoker") AS avg_measure +FROM "m4" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..36dfe6c3a4b7bbdd998702d65338e87b5b6b620e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/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 \"smoker\",\n AVG(CAST(\"children\" AS REAL)) OVER (PARTITION BY \"smoker\") AS avg_measure\nFROM \"m4\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"smoker\\\",\\n AVG(CAST(\\\"children\\\" AS REAL)) OVER (PARTITION BY \\\"smoker\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"smoker\", \"avg_measure\"], \"rows\": [{\"smoker\": \"yes\", \"avg_measure\": 1.1170212765957446}, {\"smoker\": \"no\", \"avg_measure\": 1.0978260869565217}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.12}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7fb600adfc64c36943068e572ec5ac2b88259faa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:00:00.609207+00:00", + "ended_at": "2026-05-19T16:00:12.681233+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_a030230844480125", + "problem_id": "v2p_m4_799d7b32d9a15742", + "dataset_id": "m4", + "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=smoker, measure_col=children.", + "bindings": { + "group_col": "smoker", + "measure_col": "children", + "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": 1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=134" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "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/m4/sql/v2q_m4_a030230844480125.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_a030230844480125", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12032, + "output_tokens": 317, + "total_tokens": 13999, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12059.62, + "sql_execution_elapsed_ms_total": 8.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_a030230844480125/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f56c9449f52b3841b9eabc07b74b45a07144b5c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:12.670906+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": 12059.62, "started_at": "2026-05-19T16:00:00.610089+00:00", "ended_at": "2026-05-19T16:00:12.669737+00:00", "prompt_metrics": {"chars": 5384, "bytes_utf8": 5384, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 410, "bytes_utf8": 410, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13682, "cached_input_tokens": 12032, "output_tokens": 317, "reasoning_output_tokens": 212}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"smoker\\\",\\n AVG(CAST(\\\"children\\\" AS REAL)) OVER (PARTITION BY \\\"smoker\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"smoker\\\" and measure_col=\\\"children\\\". Cast \\\"children\\\" to REAL because the SQLite schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..72922a92629542ad4ff1df0f66be57fa918519fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_a030230844480125", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12032, + "output_tokens": 317, + "total_tokens": 13999, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12059.62, + "sql_execution_elapsed_ms_total": 8.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a030230844480125/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_abdcdb36ee884dce/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7aac4edc32c42bec250c1ed91b461905864a99f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/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=smoker, measure_col=age. +Result preview: [{"smoker": "yes", "percentile_measure": 62.0}, {"smoker": "no", "percentile_measure": 61.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a5721daec7721d8444dab3da503059d419aa5303 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/generated_sql.sql @@ -0,0 +1,71 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_abdcdb36ee884dce +-- problem_id: v2p_m4_af355b8112529b23 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "smoker", + CAST("age" AS REAL) AS "age_value", + ROW_NUMBER() OVER ( + PARTITION BY "smoker" + ORDER BY CAST("age" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "smoker" + ) AS "cnt" + FROM "m4" + WHERE "smoker" IS NOT NULL + AND TRIM("smoker") <> '' + AND "age" IS NOT NULL + AND TRIM("age") <> '' +), +"group_positions" AS ( + SELECT DISTINCT + "smoker", + "cnt", + (1.0 + 0.95 * ("cnt" - 1)) AS "pos", + CAST((1.0 + 0.95 * ("cnt" - 1)) AS INTEGER) AS "lower_rn", + CAST((1.0 + 0.95 * ("cnt" - 1)) AS INTEGER) + + CASE + WHEN ABS( + (1.0 + 0.95 * ("cnt" - 1)) + - CAST((1.0 + 0.95 * ("cnt" - 1)) AS INTEGER) + ) < 1e-12 THEN 0 + ELSE 1 + END AS "upper_rn" + FROM "ordered" +), +"bounds" AS ( + SELECT + "o"."smoker", + "p"."pos", + "p"."lower_rn", + "p"."upper_rn", + MAX(CASE WHEN "o"."rn" = "p"."lower_rn" THEN "o"."age_value" END) AS "lower_value", + MAX(CASE WHEN "o"."rn" = "p"."upper_rn" THEN "o"."age_value" END) AS "upper_value" + FROM "ordered" AS "o" + JOIN "group_positions" AS "p" + ON "o"."smoker" = "p"."smoker" + GROUP BY + "o"."smoker", + "p"."pos", + "p"."lower_rn", + "p"."upper_rn" +) +SELECT + "smoker", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("pos" - "lower_rn") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..472efb0db953c30dacedfd9aaeb8e35f464c0ddd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/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 \"smoker\",\n CAST(\"age\" AS REAL) AS \"age_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"smoker\"\n ORDER BY CAST(\"age\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"smoker\"\n ) AS \"cnt\"\n FROM \"m4\"\n WHERE \"smoker\" IS NOT NULL\n AND TRIM(\"smoker\") <> ''\n AND \"age\" IS NOT NULL\n AND TRIM(\"age\") <> ''\n),\n\"group_positions\" AS (\n SELECT DISTINCT\n \"smoker\",\n \"cnt\",\n (1.0 + 0.95 * (\"cnt\" - 1)) AS \"pos\",\n CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER)\n + CASE\n WHEN ABS(\n (1.0 + 0.95 * (\"cnt\" - 1))\n - CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER)\n ) < 1e-12 THEN 0\n ELSE 1\n END AS \"upper_rn\"\n FROM \"ordered\"\n),\n\"bounds\" AS (\n SELECT\n \"o\".\"smoker\",\n \"p\".\"pos\",\n \"p\".\"lower_rn\",\n \"p\".\"upper_rn\",\n MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"lower_rn\" THEN \"o\".\"age_value\" END) AS \"lower_value\",\n MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"upper_rn\" THEN \"o\".\"age_value\" END) AS \"upper_value\"\n FROM \"ordered\" AS \"o\"\n JOIN \"group_positions\" AS \"p\"\n ON \"o\".\"smoker\" = \"p\".\"smoker\"\n GROUP BY\n \"o\".\"smoker\",\n \"p\".\"pos\",\n \"p\".\"lower_rn\",\n \"p\".\"upper_rn\"\n)\nSELECT\n \"smoker\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"smoker\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"smoker\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"smoker\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"smoker\\\" IS NOT NULL\\n AND TRIM(\\\"smoker\\\") <> ''\\n AND \\\"age\\\" IS NOT NULL\\n AND TRIM(\\\"age\\\") <> ''\\n),\\n\\\"group_positions\\\" AS (\\n SELECT DISTINCT\\n \\\"smoker\\\",\\n \\\"cnt\\\",\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n + CASE\\n WHEN ABS(\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1))\\n - CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n ) < 1e-12 THEN 0\\n ELSE 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"o\\\".\\\"smoker\\\",\\n \\\"p\\\".\\\"pos\\\",\\n \\\"p\\\".\\\"lower_rn\\\",\\n \\\"p\\\".\\\"upper_rn\\\",\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"lower_rn\\\" THEN \\\"o\\\".\\\"age_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"upper_rn\\\" THEN \\\"o\\\".\\\"age_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"ordered\\\" AS \\\"o\\\"\\n JOIN \\\"group_positions\\\" AS \\\"p\\\"\\n ON \\\"o\\\".\\\"smoker\\\" = \\\"p\\\".\\\"smoker\\\"\\n GROUP BY\\n \\\"o\\\".\\\"smoker\\\",\\n \\\"p\\\".\\\"pos\\\",\\n \\\"p\\\".\\\"lower_rn\\\",\\n \\\"p\\\".\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"smoker\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"smoker\", \"percentile_measure\"], \"rows\": [{\"smoker\": \"yes\", \"percentile_measure\": 62.0}, {\"smoker\": \"no\", \"percentile_measure\": 61.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 12.62}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..96cbfe60f7d67eb303997778f6e459408aad61ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:51:14.324532+00:00", + "ended_at": "2026-05-19T15:51:52.309567+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_abdcdb36ee884dce", + "problem_id": "v2p_m4_af355b8112529b23", + "dataset_id": "m4", + "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=smoker, measure_col=age.", + "bindings": { + "group_col": "smoker", + "measure_col": "age", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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/m4/sql/v2q_m4_abdcdb36ee884dce.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_abdcdb36ee884dce", + "api_calls": 0, + "input_tokens": 13709, + "cached_input_tokens": 12672, + "output_tokens": 2745, + "total_tokens": 16454, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 37968.91, + "sql_execution_elapsed_ms_total": 12.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_abdcdb36ee884dce/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1f9b7d8e0f6e9351cbff8d36debc74c86424dfd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:52.295256+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": 37968.91, "started_at": "2026-05-19T15:51:14.325428+00:00", "ended_at": "2026-05-19T15:51:52.294367+00:00", "prompt_metrics": {"chars": 5469, "bytes_utf8": 5469, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 1979, "bytes_utf8": 1979, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13709, "cached_input_tokens": 12672, "output_tokens": 2745, "reasoning_output_tokens": 2065}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"smoker\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"smoker\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"smoker\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"smoker\\\" IS NOT NULL\\n AND TRIM(\\\"smoker\\\") <> ''\\n AND \\\"age\\\" IS NOT NULL\\n AND TRIM(\\\"age\\\") <> ''\\n),\\n\\\"group_positions\\\" AS (\\n SELECT DISTINCT\\n \\\"smoker\\\",\\n \\\"cnt\\\",\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n + CASE\\n WHEN ABS(\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1))\\n - CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n ) < 1e-12 THEN 0\\n ELSE 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"o\\\".\\\"smoker\\\",\\n"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6b9cc2221682b0e18b0b1c93844abdf8878ab9d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_abdcdb36ee884dce", + "api_calls": 0, + "input_tokens": 13709, + "cached_input_tokens": 12672, + "output_tokens": 2745, + "total_tokens": 16454, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 37968.91, + "sql_execution_elapsed_ms_total": 12.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_abdcdb36ee884dce/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_add99e97e120d9e6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ebc4db8f8d36587bb6ce2c16ee71f6516d4eb628 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/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=smoker, measure_col=children. +Result preview: [{"smoker": "no", "percentile_measure": 3.0}, {"smoker": "yes", "percentile_measure": 3.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..cf0eae3fdb2c158108c464241063a38b9f657ff6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/generated_sql.sql @@ -0,0 +1,60 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_add99e97e120d9e6 +-- problem_id: v2p_m4_e5fb0160c74025cf +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "smoker", + CAST("children" AS REAL) AS "measure", + ROW_NUMBER() OVER ( + PARTITION BY "smoker" + ORDER BY CAST("children" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "smoker") AS "n" + FROM "m4" + WHERE "smoker" IS NOT NULL + AND "children" IS NOT NULL +), +"positions" AS ( + SELECT + "smoker", + "measure", + "rn", + "n", + (1.0 + 0.9 * ("n" - 1)) AS "pos", + CAST(1.0 + 0.9 * ("n" - 1) AS INTEGER) AS "lo", + CASE + WHEN (1.0 + 0.9 * ("n" - 1)) = CAST(1.0 + 0.9 * ("n" - 1) AS INTEGER) + THEN CAST(1.0 + 0.9 * ("n" - 1) AS INTEGER) + ELSE CAST(1.0 + 0.9 * ("n" - 1) AS INTEGER) + 1 + END AS "hi" + FROM "ordered" +), +"picked" AS ( + SELECT + "smoker", + MAX(CASE WHEN "rn" = "lo" THEN "measure" END) AS "lo_val", + MAX(CASE WHEN "rn" = "hi" THEN "measure" END) AS "hi_val", + MAX("pos") AS "pos", + MAX("lo") AS "lo", + MAX("hi") AS "hi" + FROM "positions" + GROUP BY "smoker" +) +SELECT + "smoker", + CASE + WHEN "lo" = "hi" THEN "lo_val" + ELSE "lo_val" + ("pos" - "lo") * ("hi_val" - "lo_val") + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cc40e92348ecbee7f1b040832572626b8d3da2d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/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 \"smoker\",\n CAST(\"children\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"smoker\"\n ORDER BY CAST(\"children\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"smoker\") AS \"n\"\n FROM \"m4\"\n WHERE \"smoker\" IS NOT NULL\n AND \"children\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT\n \"smoker\",\n \"measure\",\n \"rn\",\n \"n\",\n (1.0 + 0.9 * (\"n\" - 1)) AS \"pos\",\n CAST(1.0 + 0.9 * (\"n\" - 1) AS INTEGER) AS \"lo\",\n CASE\n WHEN (1.0 + 0.9 * (\"n\" - 1)) = CAST(1.0 + 0.9 * (\"n\" - 1) AS INTEGER)\n THEN CAST(1.0 + 0.9 * (\"n\" - 1) AS INTEGER)\n ELSE CAST(1.0 + 0.9 * (\"n\" - 1) AS INTEGER) + 1\n END AS \"hi\"\n FROM \"ordered\"\n),\n\"picked\" AS (\n SELECT\n \"smoker\",\n MAX(CASE WHEN \"rn\" = \"lo\" THEN \"measure\" END) AS \"lo_val\",\n MAX(CASE WHEN \"rn\" = \"hi\" THEN \"measure\" END) AS \"hi_val\",\n MAX(\"pos\") AS \"pos\",\n MAX(\"lo\") AS \"lo\",\n MAX(\"hi\") AS \"hi\"\n FROM \"positions\"\n GROUP BY \"smoker\"\n)\nSELECT\n \"smoker\",\n CASE\n WHEN \"lo\" = \"hi\" THEN \"lo_val\"\n ELSE \"lo_val\" + (\"pos\" - \"lo\") * (\"hi_val\" - \"lo_val\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"smoker\\\",\\n CAST(\\\"children\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"smoker\\\"\\n ORDER BY CAST(\\\"children\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"smoker\\\") AS \\\"n\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"smoker\\\" IS NOT NULL\\n AND \\\"children\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"smoker\\\",\\n \\\"measure\\\",\\n \\\"rn\\\",\\n \\\"n\\\",\\n (1.0 + 0.9 * (\\\"n\\\" - 1)) AS \\\"pos\\\",\\n CAST(1.0 + 0.9 * (\\\"n\\\" - 1) AS INTEGER) AS \\\"lo\\\",\\n CASE\\n WHEN (1.0 + 0.9 * (\\\"n\\\" - 1)) = CAST(1.0 + 0.9 * (\\\"n\\\" - 1) AS INTEGER)\\n THEN CAST(1.0 + 0.9 * (\\\"n\\\" - 1) AS INTEGER)\\n ELSE CAST(1.0 + 0.9 * (\\\"n\\\" - 1) AS INTEGER) + 1\\n END AS \\\"hi\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"smoker\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lo\\\" THEN \\\"measure\\\" END) AS \\\"lo_val\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"hi\\\" THEN \\\"measure\\\" END) AS \\\"hi_val\\\",\\n MAX(\\\"pos\\\") AS \\\"pos\\\",\\n MAX(\\\"lo\\\") AS \\\"lo\\\",\\n MAX(\\\"hi\\\") AS \\\"hi\\\"\\n FROM \\\"positions\\\"\\n GROUP BY \\\"smoker\\\"\\n)\\nSELECT\\n \\\"smoker\\\",\\n CASE\\n WHEN \\\"lo\\\" = \\\"hi\\\" THEN \\\"lo_val\\\"\\n ELSE \\\"lo_val\\\" + (\\\"pos\\\" - \\\"lo\\\") * (\\\"hi_val\\\" - \\\"lo_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"smoker\", \"percentile_measure\"], \"rows\": [{\"smoker\": \"no\", \"percentile_measure\": 3.0}, {\"smoker\": \"yes\", \"percentile_measure\": 3.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 9.01}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bd6cfd7ebcb639dfb4d98018786117822195f1db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:48:09.010984+00:00", + "ended_at": "2026-05-19T15:48:41.387195+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_add99e97e120d9e6", + "problem_id": "v2p_m4_e5fb0160c74025cf", + "dataset_id": "m4", + "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=smoker, measure_col=children.", + "bindings": { + "group_col": "smoker", + "measure_col": "children", + "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": 1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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/m4/sql/v2q_m4_add99e97e120d9e6.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_add99e97e120d9e6", + "api_calls": 0, + "input_tokens": 13709, + "cached_input_tokens": 12672, + "output_tokens": 2091, + "total_tokens": 15800, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 32363.34, + "sql_execution_elapsed_ms_total": 9.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_add99e97e120d9e6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f2792783b0a995eb1243184cc56259fd87c0d117 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:41.376383+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": 32363.34, "started_at": "2026-05-19T15:48:09.011827+00:00", "ended_at": "2026-05-19T15:48:41.375197+00:00", "prompt_metrics": {"chars": 5478, "bytes_utf8": 5478, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 1676, "bytes_utf8": 1676, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13709, "cached_input_tokens": 12672, "output_tokens": 2091, "reasoning_output_tokens": 1517}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"smoker\\\",\\n CAST(\\\"children\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"smoker\\\"\\n ORDER BY CAST(\\\"children\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"smoker\\\") AS \\\"n\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"smoker\\\" IS NOT NULL\\n AND \\\"children\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"smoker\\\",\\n \\\"measure\\\",\\n \\\"rn\\\",\\n \\\"n\\\",\\n (1.0 + 0.9 * (\\\"n\\\" - 1)) AS \\\"pos\\\",\\n CAST(1.0 + 0.9 * (\\\"n\\\" - 1) AS INTEGER) AS \\\"lo\\\",\\n CASE\\n WHEN (1.0 + 0.9 * (\\\"n\\\" - 1)) = CAST(1.0 + 0.9 * (\\\"n\\\" - 1) AS INTEGER)\\n THEN CAST(1.0 + 0.9 * (\\\"n\\\" - 1) AS INTEGER)\\n ELSE CAST(1.0 + 0.9 * (\\\"n\\\" - 1) AS INTEGER) + 1\\n END AS \\\"hi\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n \\\"smoker\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lo\\\" THEN \\\"measure\\\" END) AS \\\"lo_val\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"hi\\\" THEN \\"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c76cd2ca9ccdabc9fbf8a62a9d2a3437eea7200a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_add99e97e120d9e6", + "api_calls": 0, + "input_tokens": 13709, + "cached_input_tokens": 12672, + "output_tokens": 2091, + "total_tokens": 15800, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 32363.34, + "sql_execution_elapsed_ms_total": 9.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_add99e97e120d9e6/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_ba27ec27b8138a5b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4529ad6424b63bebe889f0d7e97c1d47889325a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/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=children, measure_col=bmi. +Result preview: [{"children": 4, "percentile_measure": 39.301500000000004}, {"children": 0, "percentile_measure": 39.16}, {"children": 1, "percentile_measure": 38.807}, {"children": 2, "percentile_measure": 38.495000000000005}, {"children": 3, "percentile_measure": 38.06}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c20072aba040f014f325c08c5c25717eacf09cae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/generated_sql.sql @@ -0,0 +1,60 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_ba27ec27b8138a5b +-- problem_id: v2p_m4_470cc775ed6ba3f0 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + CAST("children" AS INTEGER) AS "children", + CAST("bmi" AS REAL) AS "bmi_num" + FROM "m4" + WHERE "children" IS NOT NULL + AND TRIM("children") <> '' + AND "bmi" IS NOT NULL + AND TRIM("bmi") <> '' +), +"ordered" AS ( + SELECT + "children", + "bmi_num", + ROW_NUMBER() OVER (PARTITION BY "children" ORDER BY "bmi_num") AS "row_num", + COUNT(*) OVER (PARTITION BY "children") AS "n" + FROM "base" +), +"params" AS ( + SELECT + "children", + MAX("n") AS "n", + (9 * MAX("n") + 1) AS "target_num", + CAST((9 * MAX("n") + 1) / 10 AS INTEGER) AS "lower_rank", + CASE + WHEN ((9 * MAX("n") + 1) % 10) = 0 THEN CAST((9 * MAX("n") + 1) / 10 AS INTEGER) + ELSE CAST((9 * MAX("n") + 1) / 10 AS INTEGER) + 1 + END AS "upper_rank", + ((9 * MAX("n") + 1) % 10) / 10.0 AS "upper_weight" + FROM "ordered" + GROUP BY "children" +) +SELECT + o."children", + CASE + WHEN p."lower_rank" = p."upper_rank" THEN + MAX(CASE WHEN o."row_num" = p."lower_rank" THEN o."bmi_num" END) + ELSE + (1.0 - p."upper_weight") * MAX(CASE WHEN o."row_num" = p."lower_rank" THEN o."bmi_num" END) + + p."upper_weight" * MAX(CASE WHEN o."row_num" = p."upper_rank" THEN o."bmi_num" END) + END AS "percentile_measure" +FROM "ordered" AS o +JOIN "params" AS p + ON o."children" = p."children" +GROUP BY o."children" +HAVING MAX(p."n") >= 5 +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..14b5e5e5350844955a01096f548f5413e379d987 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n CAST(\"children\" AS INTEGER) AS \"children\",\n CAST(\"bmi\" AS REAL) AS \"bmi_num\"\n FROM \"m4\"\n WHERE \"children\" IS NOT NULL\n AND TRIM(\"children\") <> ''\n AND \"bmi\" IS NOT NULL\n AND TRIM(\"bmi\") <> ''\n),\n\"ordered\" AS (\n SELECT\n \"children\",\n \"bmi_num\",\n ROW_NUMBER() OVER (PARTITION BY \"children\" ORDER BY \"bmi_num\") AS \"row_num\",\n COUNT(*) OVER (PARTITION BY \"children\") AS \"n\"\n FROM \"base\"\n),\n\"params\" AS (\n SELECT\n \"children\",\n MAX(\"n\") AS \"n\",\n (9 * MAX(\"n\") + 1) AS \"target_num\",\n CAST((9 * MAX(\"n\") + 1) / 10 AS INTEGER) AS \"lower_rank\",\n CASE\n WHEN ((9 * MAX(\"n\") + 1) % 10) = 0 THEN CAST((9 * MAX(\"n\") + 1) / 10 AS INTEGER)\n ELSE CAST((9 * MAX(\"n\") + 1) / 10 AS INTEGER) + 1\n END AS \"upper_rank\",\n ((9 * MAX(\"n\") + 1) % 10) / 10.0 AS \"upper_weight\"\n FROM \"ordered\"\n GROUP BY \"children\"\n)\nSELECT\n o.\"children\",\n CASE\n WHEN p.\"lower_rank\" = p.\"upper_rank\" THEN\n MAX(CASE WHEN o.\"row_num\" = p.\"lower_rank\" THEN o.\"bmi_num\" END)\n ELSE\n (1.0 - p.\"upper_weight\") * MAX(CASE WHEN o.\"row_num\" = p.\"lower_rank\" THEN o.\"bmi_num\" END) +\n p.\"upper_weight\" * MAX(CASE WHEN o.\"row_num\" = p.\"upper_rank\" THEN o.\"bmi_num\" END)\n END AS \"percentile_measure\"\nFROM \"ordered\" AS o\nJOIN \"params\" AS p\n ON o.\"children\" = p.\"children\"\nGROUP BY o.\"children\"\nHAVING MAX(p.\"n\") >= 5\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n CAST(\\\"children\\\" AS INTEGER) AS \\\"children\\\",\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"bmi_num\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"children\\\" IS NOT NULL\\n AND TRIM(\\\"children\\\") <> ''\\n AND \\\"bmi\\\" IS NOT NULL\\n AND TRIM(\\\"bmi\\\") <> ''\\n),\\n\\\"ordered\\\" AS (\\n SELECT\\n \\\"children\\\",\\n \\\"bmi_num\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"children\\\" ORDER BY \\\"bmi_num\\\") AS \\\"row_num\\\",\\n COUNT(*) OVER (PARTITION BY \\\"children\\\") AS \\\"n\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"children\\\",\\n MAX(\\\"n\\\") AS \\\"n\\\",\\n (9 * MAX(\\\"n\\\") + 1) AS \\\"target_num\\\",\\n CAST((9 * MAX(\\\"n\\\") + 1) / 10 AS INTEGER) AS \\\"lower_rank\\\",\\n CASE\\n WHEN ((9 * MAX(\\\"n\\\") + 1) % 10) = 0 THEN CAST((9 * MAX(\\\"n\\\") + 1) / 10 AS INTEGER)\\n ELSE CAST((9 * MAX(\\\"n\\\") + 1) / 10 AS INTEGER) + 1\\n END AS \\\"upper_rank\\\",\\n ((9 * MAX(\\\"n\\\") + 1) % 10) / 10.0 AS \\\"upper_weight\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"children\\\"\\n)\\nSELECT\\n o.\\\"children\\\",\\n CASE\\n WHEN p.\\\"lower_rank\\\" = p.\\\"upper_rank\\\" THEN\\n MAX(CASE WHEN o.\\\"row_num\\\" = p.\\\"lower_rank\\\" THEN o.\\\"bmi_num\\\" END)\\n ELSE\\n (1.0 - p.\\\"upper_weight\\\") * MAX(CASE WHEN o.\\\"row_num\\\" = p.\\\"lower_rank\\\" THEN o.\\\"bmi_num\\\" END) +\\n p.\\\"upper_weight\\\" * MAX(CASE WHEN o.\\\"row_num\\\" = p.\\\"upper_rank\\\" THEN o.\\\"bmi_num\\\" END)\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"ordered\\\" AS o\\nJOIN \\\"params\\\" AS p\\n ON o.\\\"children\\\" = p.\\\"children\\\"\\nGROUP BY o.\\\"children\\\"\\nHAVING MAX(p.\\\"n\\\") >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"children\", \"percentile_measure\"], \"rows\": [{\"children\": 4, \"percentile_measure\": 39.301500000000004}, {\"children\": 0, \"percentile_measure\": 39.16}, {\"children\": 1, \"percentile_measure\": 38.807}, {\"children\": 2, \"percentile_measure\": 38.495000000000005}, {\"children\": 3, \"percentile_measure\": 38.06}, {\"children\": 5, \"percentile_measure\": 37.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 18.52}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0bd8d8ffefea386ec88653deab7a7b60dcce136e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:45:51.811331+00:00", + "ended_at": "2026-05-19T15:46:47.456592+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_ba27ec27b8138a5b", + "problem_id": "v2p_m4_470cc775ed6ba3f0", + "dataset_id": "m4", + "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=children, measure_col=bmi.", + "bindings": { + "group_col": "children", + "measure_col": "bmi", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=85" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ba27ec27b8138a5b.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ba27ec27b8138a5b", + "api_calls": 0, + "input_tokens": 13708, + "cached_input_tokens": 12672, + "output_tokens": 3493, + "total_tokens": 17201, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 55621.05, + "sql_execution_elapsed_ms_total": 18.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_ba27ec27b8138a5b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..92c5d885f2e4498e04912d9a44703d2f56e6ddee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:47.434852+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": 55621.05, "started_at": "2026-05-19T15:45:51.812101+00:00", "ended_at": "2026-05-19T15:46:47.433197+00:00", "prompt_metrics": {"chars": 5472, "bytes_utf8": 5472, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 1925, "bytes_utf8": 1925, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13708, "cached_input_tokens": 12672, "output_tokens": 3493, "reasoning_output_tokens": 2876}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n CAST(\\\"children\\\" AS INTEGER) AS \\\"children\\\",\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"bmi_num\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"children\\\" IS NOT NULL\\n AND TRIM(\\\"children\\\") <> ''\\n AND \\\"bmi\\\" IS NOT NULL\\n AND TRIM(\\\"bmi\\\") <> ''\\n),\\n\\\"ordered\\\" AS (\\n SELECT\\n \\\"children\\\",\\n \\\"bmi_num\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"children\\\" ORDER BY \\\"bmi_num\\\") AS \\\"row_num\\\",\\n COUNT(*) OVER (PARTITION BY \\\"children\\\") AS \\\"n\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"params\\\" AS (\\n SELECT\\n \\\"children\\\",\\n MAX(\\\"n\\\") AS \\\"n\\\",\\n (9 * MAX(\\\"n\\\") + 1) AS \\\"target_num\\\",\\n CAST((9 * MAX(\\\"n\\\") + 1) / 10 AS INTEGER) AS \\\"lower_rank\\\",\\n CASE\\n WHEN ((9 * MAX(\\\"n\\\") + 1) % 10) = 0 THEN CAST((9 * MAX(\\\"n\\\") + 1) / 10 AS INTEGER)\\n ELSE CAST((9 * MAX(\\\"n\\\") + 1) / 10 AS INTEGER) + 1\\n END AS \\\"upper_rank\\\",\\n ((9 * MAX(\\\"n\\\") + 1) % 10) / 10.0 AS \\\"upper_weight\\\"\\n FROM \\\"order"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bfa8c1e04434145860b74b80cc4254d255310531 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ba27ec27b8138a5b", + "api_calls": 0, + "input_tokens": 13708, + "cached_input_tokens": 12672, + "output_tokens": 3493, + "total_tokens": 17201, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 55621.05, + "sql_execution_elapsed_ms_total": 18.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba27ec27b8138a5b/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_bb820dc234c8f0ea/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8dac8b1479eed007a8ab20756b26c4fe61b7bf2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=sex, group_col_2=children. +Result preview: [{"sex": "male", "children": "0", "row_count": 148}, {"sex": "female", "children": "0", "row_count": 120}, {"sex": "male", "children": "2", "row_count": 92}, {"sex": "male", "children": "1", "row_count": 88}, {"sex": "female", "children": "1", "row_count": 76}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0bd79ade5bbb2458b4c7bb3fa1efd1114cdb4a41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/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: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m4_bb820dc234c8f0ea +-- problem_id: v2p_m4_553ee6207aac91e2 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "children", COUNT(*) AS "row_count" +FROM "m4" +WHERE CAST("charges" AS REAL) >= 16577.7795 +GROUP BY "sex", "children" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..45d6c546d87a699523347283224b415347b19a48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"sex\", \"children\", COUNT(*) AS \"row_count\"\nFROM \"m4\"\nWHERE CAST(\"charges\" AS REAL) >= 16577.7795\nGROUP BY \"sex\", \"children\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"sex\\\", \\\"children\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m4\\\"\\nWHERE CAST(\\\"charges\\\" AS REAL) >= 16577.7795\\nGROUP BY \\\"sex\\\", \\\"children\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"sex\", \"children\", \"row_count\"], \"rows\": [{\"sex\": \"male\", \"children\": \"0\", \"row_count\": 148}, {\"sex\": \"female\", \"children\": \"0\", \"row_count\": 120}, {\"sex\": \"male\", \"children\": \"2\", \"row_count\": 92}, {\"sex\": \"male\", \"children\": \"1\", \"row_count\": 88}, {\"sex\": \"female\", \"children\": \"1\", \"row_count\": 76}, {\"sex\": \"female\", \"children\": \"2\", \"row_count\": 60}, {\"sex\": \"male\", \"children\": \"3\", \"row_count\": 56}, {\"sex\": \"female\", \"children\": \"3\", \"row_count\": 38}, {\"sex\": \"male\", \"children\": \"4\", \"row_count\": 10}, {\"sex\": \"female\", \"children\": \"4\", \"row_count\": 4}, {\"sex\": \"female\", \"children\": \"5\", \"row_count\": 2}], \"row_count_returned\": 11, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.47}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4c5858d50027cb2cb7c202e79c9ffe5b9c23393e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:38:22.047101+00:00", + "ended_at": "2026-05-19T15:38:33.057310+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_bb820dc234c8f0ea", + "problem_id": "v2p_m4_553ee6207aac91e2", + "dataset_id": "m4", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=sex, group_col_2=children.", + "bindings": { + "group_col": "sex", + "group_col_2": "children", + "predicate_col": "charges", + "predicate_op": ">=", + "predicate_value": 16577.7795, + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=48" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_bb820dc234c8f0ea.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_bb820dc234c8f0ea", + "api_calls": 0, + "input_tokens": 13765, + "cached_input_tokens": 12672, + "output_tokens": 465, + "total_tokens": 14230, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11005.65, + "sql_execution_elapsed_ms_total": 1.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_bb820dc234c8f0ea/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..20c446cbb066279991b43cf77b367db53f3b06f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:33.054533+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": 11005.65, "started_at": "2026-05-19T15:38:22.048056+00:00", "ended_at": "2026-05-19T15:38:33.053733+00:00", "prompt_metrics": {"chars": 5610, "bytes_utf8": 5610, "lines": 184, "estimated_tokens": null}, "response_metrics": {"chars": 442, "bytes_utf8": 442, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13765, "cached_input_tokens": 12672, "output_tokens": 465, "reasoning_output_tokens": 345}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"sex\\\", \\\"children\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m4\\\"\\nWHERE CAST(\\\"charges\\\" AS REAL) >= 16577.7795\\nGROUP BY \\\"sex\\\", \\\"children\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the specified filtered two-dimensional group count template with \\\"sex\\\" and \\\"children\\\" as grouping columns, and casts \\\"charges\\\" to REAL because it is stored as TEXT in the SQLite schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..374fd3d888c74c25523aa5531a62fd87be7a90bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_bb820dc234c8f0ea", + "api_calls": 0, + "input_tokens": 13765, + "cached_input_tokens": 12672, + "output_tokens": 465, + "total_tokens": 14230, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11005.65, + "sql_execution_elapsed_ms_total": 1.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_bb95cd56703d20f0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f98bc21fe1299f50374d89cce18e91673e02f8c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:58:09.398075+00:00", + "ended_at": "2026-05-19T15:58:16.985717+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_bb95cd56703d20f0", + "problem_id": "v2p_m4_3a4337fe588098f8", + "dataset_id": "m4", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=region.", + "bindings": { + "group_col": "region", + "top_k": 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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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", + "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/m4/artifacts/v2q_m4_bb95cd56703d20f0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..35a5af962c66b2a12a35af1ae74c4c6273524fde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:58:13.173637+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": 3773.4, "started_at": "2026-05-19T15:58:09.399184+00:00", "ended_at": "2026-05-19T15:58:13.172617+00:00", "prompt_metrics": {"chars": 5291, "bytes_utf8": 5291, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-7922-7641-a229-5d62f9a8062b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:58:16.985624+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": 2809.57, "started_at": "2026-05-19T15:58:14.175200+00:00", "ended_at": "2026-05-19T15:58:16.984821+00:00", "prompt_metrics": {"chars": 5291, "bytes_utf8": 5291, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-8bcb-79d2-af79-4480e7fe692a\"}\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/m4/artifacts/v2q_m4_be9658ffd6046ede/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4022b4f0743dafa7e36a536a66e1aadc90108492 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/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=sex, measure_col=age. +Result preview: [{"sex": "male", "group_value": 54480.0}, {"sex": "female", "group_value": 53932.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9a026cc81a1a76b35b7ca8fce7069e7a0b7c3c14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/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: m4 +-- 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_m4_be9658ffd6046ede +-- problem_id: v2p_m4_25730095c5571562 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "sex", SUM(CAST("age" AS REAL)) AS group_value + FROM "m4" + GROUP BY "sex" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."sex", 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/m4/artifacts/v2q_m4_be9658ffd6046ede/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f7a489266a83cc2246674981ca3c85734e7d052e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/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 \"sex\", SUM(CAST(\"age\" AS REAL)) AS group_value\n FROM \"m4\"\n GROUP BY \"sex\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"sex\", 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 \\\"sex\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"sex\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"sex\\\", 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\": [\"sex\", \"group_value\"], \"rows\": [{\"sex\": \"male\", \"group_value\": 54480.0}, {\"sex\": \"female\", \"group_value\": 53932.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.96}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..549f708ff035c1d308ef3eb7780b69222f9a0e30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:41:31.763890+00:00", + "ended_at": "2026-05-19T15:41:43.367780+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_be9658ffd6046ede", + "problem_id": "v2p_m4_25730095c5571562", + "dataset_id": "m4", + "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=sex, measure_col=age.", + "bindings": { + "group_col": "sex", + "measure_col": "age", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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/m4/sql/v2q_m4_be9658ffd6046ede.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_be9658ffd6046ede", + "api_calls": 0, + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 447, + "total_tokens": 14254, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11595.63, + "sql_execution_elapsed_ms_total": 2.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_be9658ffd6046ede/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d725456ca9cca471c071630213dbe1be5bb37c13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:43.362102+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": 11595.63, "started_at": "2026-05-19T15:41:31.764862+00:00", "ended_at": "2026-05-19T15:41:43.360522+00:00", "prompt_metrics": {"chars": 5841, "bytes_utf8": 5841, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 598, "bytes_utf8": 598, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13807, "cached_input_tokens": 12672, "output_tokens": 447, "reasoning_output_tokens": 285}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"sex\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"sex\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"sex\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\\\"sex\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4ab12632b7ce2ba23ca7dc3de6fd5b99c4394d71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_be9658ffd6046ede", + "api_calls": 0, + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 447, + "total_tokens": 14254, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11595.63, + "sql_execution_elapsed_ms_total": 2.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_c764f55d0078a3fa/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..38c318876242675ce7f5d07e906d34a7398afb0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/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=children, measure_col=bmi. +Result preview: [{"children": "0", "total_measure": 36325.41}, {"children": "1", "total_measure": 20634.26}, {"children": "2", "total_measure": 15393.76}, {"children": "3", "total_measure": 9907.92}, {"children": "4", "total_measure": 1628.36}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a8fffcceb79f8c0e7f1d78ceaece4d183cddb48a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/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: m4 +-- 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_m4_c764f55d0078a3fa +-- problem_id: v2p_m4_cbcd8371bfe33d1c +-- realization_mode: agent +-- source_kind: agent +SELECT "children", SUM(CAST("bmi" AS REAL)) AS total_measure +FROM "m4" +GROUP BY "children" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c41e8c331cf0aa57d8dba260266a44bad9b98e5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/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 \"children\", SUM(CAST(\"bmi\" AS REAL)) AS total_measure\nFROM \"m4\"\nGROUP BY \"children\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"children\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"children\", \"total_measure\"], \"rows\": [{\"children\": \"0\", \"total_measure\": 36325.41}, {\"children\": \"1\", \"total_measure\": 20634.26}, {\"children\": \"2\", \"total_measure\": 15393.76}, {\"children\": \"3\", \"total_measure\": 9907.92}, {\"children\": \"4\", \"total_measure\": 1628.36}, {\"children\": \"5\", \"total_measure\": 1214.43}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.68}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f8eedb8bd9bca87775020814da5f3e5ca99a3b96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:28:35.016505+00:00", + "ended_at": "2026-05-19T15:28:43.641496+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_c764f55d0078a3fa", + "problem_id": "v2p_m4_cbcd8371bfe33d1c", + "dataset_id": "m4", + "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=children, measure_col=bmi.", + "bindings": { + "group_col": "children", + "measure_col": "bmi", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=1" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_c764f55d0078a3fa.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_c764f55d0078a3fa", + "api_calls": 0, + "input_tokens": 13670, + "cached_input_tokens": 12032, + "output_tokens": 272, + "total_tokens": 13942, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8619.3, + "sql_execution_elapsed_ms_total": 1.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_c764f55d0078a3fa/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..465128ad7ad0bccf0d756e04507a9b5b847fb428 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:43.638270+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": 8619.3, "started_at": "2026-05-19T15:28:35.017366+00:00", "ended_at": "2026-05-19T15:28:43.636692+00:00", "prompt_metrics": {"chars": 5294, "bytes_utf8": 5294, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 343, "bytes_utf8": 343, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13670, "cached_input_tokens": 12032, "output_tokens": 272, "reasoning_output_tokens": 176}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"children\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required grouped-sum template with group_col=\\\"children\\\" and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" from TEXT to REAL for numeric aggregation in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b81d3fffde9284f9e9302d648512899fcc37b61a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_c764f55d0078a3fa", + "api_calls": 0, + "input_tokens": 13670, + "cached_input_tokens": 12032, + "output_tokens": 272, + "total_tokens": 13942, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8619.3, + "sql_execution_elapsed_ms_total": 1.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_cc0d7471f6769115/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1db75bc4759cd808ccf24ae94300fd1c5c5571a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/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=sex. +Result preview: [{"sex": "male", "row_count": 1406}, {"sex": "female", "row_count": 1366}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9a3c338e6197bf868bf6bc9de28a82d87a5e4319 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/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: m4 +-- 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_m4_cc0d7471f6769115 +-- problem_id: v2p_m4_d7e5bd46e04f09ed +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", COUNT(*) AS row_count +FROM "m4" +GROUP BY "sex" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3e36c19de78b495baea9092fe6689e2a2a1e1213 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/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 \"sex\", COUNT(*) AS row_count\nFROM \"m4\"\nGROUP BY \"sex\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"sex\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"sex\", \"row_count\"], \"rows\": [{\"sex\": \"male\", \"row_count\": 1406}, {\"sex\": \"female\", \"row_count\": 1366}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.36}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8975bb4363473e002bbb195f2d97f6753dc0707a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:30:32.418792+00:00", + "ended_at": "2026-05-19T15:30:42.274620+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_cc0d7471f6769115", + "problem_id": "v2p_m4_d7e5bd46e04f09ed", + "dataset_id": "m4", + "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=sex.", + "bindings": { + "group_col": "sex", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=1", + "sql_variant_index=1/1", + "binding_index=12" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "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/m4/sql/v2q_m4_cc0d7471f6769115.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_cc0d7471f6769115", + "api_calls": 0, + "input_tokens": 13644, + "cached_input_tokens": 12032, + "output_tokens": 198, + "total_tokens": 13842, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9848.25, + "sql_execution_elapsed_ms_total": 2.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_cc0d7471f6769115/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0334db9602ea2726bace76ac3a6a798486bbd610 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:42.269580+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": 9848.25, "started_at": "2026-05-19T15:30:32.419806+00:00", "ended_at": "2026-05-19T15:30:42.268089+00:00", "prompt_metrics": {"chars": 5204, "bytes_utf8": 5204, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 259, "bytes_utf8": 259, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13644, "cached_input_tokens": 12032, "output_tokens": 198, "reasoning_output_tokens": 124}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"sex\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the provided grouped-count template with group_col bound to \\\"sex\\\" on the single table \\\"m4\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3022f5f54c1a52801d5b933c1a4b506d789d0bc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_cc0d7471f6769115", + "api_calls": 0, + "input_tokens": 13644, + "cached_input_tokens": 12032, + "output_tokens": 198, + "total_tokens": 13842, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9848.25, + "sql_execution_elapsed_ms_total": 2.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cc0d7471f6769115/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_d147b8d3bb202fa8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fdfa621713be81198498003b333934b4a73e5756 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/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=smoker, measure_col=children. +Result preview: [{"smoker": "yes", "avg_measure": 1.1170212765957446}, {"smoker": "no", "avg_measure": 1.0978260869565217}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..788269ed92bf939ef979c3d2227d864213908c39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/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: m4 +-- 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_m4_d147b8d3bb202fa8 +-- problem_id: v2p_m4_0c8ab7fdabbda70e +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "smoker", + AVG(CAST("children" AS REAL)) OVER (PARTITION BY "smoker") AS avg_measure +FROM "m4" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5112b91400e72a013c0c30a2860d98e77c812978 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"smoker\",\n AVG(CAST(\"children\" AS REAL)) OVER (PARTITION BY \"smoker\") AS avg_measure\nFROM \"m4\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"smoker\\\",\\n AVG(CAST(\\\"children\\\" AS REAL)) OVER (PARTITION BY \\\"smoker\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"smoker\", \"avg_measure\"], \"rows\": [{\"smoker\": \"yes\", \"avg_measure\": 1.1170212765957446}, {\"smoker\": \"no\", \"avg_measure\": 1.0978260869565217}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.11}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3b3ab4f731e0cc85f531496552264e2ecc30706b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:59:47.690222+00:00", + "ended_at": "2026-05-19T16:00:00.608462+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_d147b8d3bb202fa8", + "problem_id": "v2p_m4_0c8ab7fdabbda70e", + "dataset_id": "m4", + "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=smoker, measure_col=children.", + "bindings": { + "group_col": "smoker", + "measure_col": "children", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=134" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d147b8d3bb202fa8.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_d147b8d3bb202fa8", + "api_calls": 0, + "input_tokens": 13683, + "cached_input_tokens": 12672, + "output_tokens": 309, + "total_tokens": 13992, + "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": 11899.03, + "sql_execution_elapsed_ms_total": 11.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_d147b8d3bb202fa8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..898947051d46ed459c9af2a43c3294a3e25d4629 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:59:50.961407+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": 3269.08, "started_at": "2026-05-19T15:59:47.691570+00:00", "ended_at": "2026-05-19T15:59:50.960681+00:00", "prompt_metrics": {"chars": 5385, "bytes_utf8": 5385, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f6-f900-7d93-a77b-4591fc50a6f7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:00:00.594225+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": 8629.95, "started_at": "2026-05-19T15:59:51.962662+00:00", "ended_at": "2026-05-19T16:00:00.592660+00:00", "prompt_metrics": {"chars": 5385, "bytes_utf8": 5385, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 391, "bytes_utf8": 391, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13683, "cached_input_tokens": 12672, "output_tokens": 309, "reasoning_output_tokens": 209}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"smoker\\\",\\n AVG(CAST(\\\"children\\\" AS REAL)) OVER (PARTITION BY \\\"smoker\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"smoker\\\" and measure_col=\\\"children\\\". CAST was added because the SQLite schema stores \\\"children\\\" as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f90baa4323acb1dabe3398547845aee11baf1ed1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_d147b8d3bb202fa8", + "api_calls": 0, + "input_tokens": 13683, + "cached_input_tokens": 12672, + "output_tokens": 309, + "total_tokens": 13992, + "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": 11899.03, + "sql_execution_elapsed_ms_total": 11.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d147b8d3bb202fa8/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_d66b6125206dd901/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..21c643404060ba10cab1fb3a93bd9ed019efa328 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/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=smoker. +Result preview: [{"smoker": "yes", "support": 564}, {"smoker": "no", "support": 2208}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..618f16d1f4510d2fedf5a26d55ff95b63cad6fc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/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: m4 +-- 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_m4_d66b6125206dd901 +-- problem_id: v2p_m4_f63f52267df980e3 +-- realization_mode: agent +-- source_kind: agent +SELECT + "smoker", + COUNT(*) AS "support" +FROM "m4" +GROUP BY "smoker" +ORDER BY "support" ASC, "smoker" +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5d1d75d1958acf4781302a9b1053d8691bf03111 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/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 \"smoker\",\n COUNT(*) AS \"support\"\nFROM \"m4\"\nGROUP BY \"smoker\"\nORDER BY \"support\" ASC, \"smoker\"\nLIMIT 11;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"smoker\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY \\\"support\\\" ASC, \\\"smoker\\\"\\nLIMIT 11;\", \"columns\": [\"smoker\", \"support\"], \"rows\": [{\"smoker\": \"yes\", \"support\": 564}, {\"smoker\": \"no\", \"support\": 2208}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.24}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..879f1cc8bd64a43263d76d96f2b50c95a0445d9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:58:46.783074+00:00", + "ended_at": "2026-05-19T15:58:57.181560+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_d66b6125206dd901", + "problem_id": "v2p_m4_f63f52267df980e3", + "dataset_id": "m4", + "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=smoker.", + "bindings": { + "group_col": "smoker", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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/m4/sql/v2q_m4_d66b6125206dd901.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_d66b6125206dd901", + "api_calls": 0, + "input_tokens": 13684, + "cached_input_tokens": 12672, + "output_tokens": 461, + "total_tokens": 14145, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10393.32, + "sql_execution_elapsed_ms_total": 1.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_d66b6125206dd901/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..27eabe20df9025050d56d5af0905bb081640d628 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:58:57.178810+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": 10393.32, "started_at": "2026-05-19T15:58:46.784748+00:00", "ended_at": "2026-05-19T15:58:57.178100+00:00", "prompt_metrics": {"chars": 5289, "bytes_utf8": 5289, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 361, "bytes_utf8": 361, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13684, "cached_input_tokens": 12672, "output_tokens": 461, "reasoning_output_tokens": 359}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"smoker\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY \\\"support\\\" ASC, \\\"smoker\\\"\\nLIMIT 11;\",\"notes\":\"Uses the Low-Support Group Count template with \\\"smoker\\\" as the grouped column on table \\\"m4\\\", returning the smallest-support smoker categories first.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b9e755ec74a9eba36fefa04d9c0ad2a95d28a1a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_d66b6125206dd901", + "api_calls": 0, + "input_tokens": 13684, + "cached_input_tokens": 12672, + "output_tokens": 461, + "total_tokens": 14145, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10393.32, + "sql_execution_elapsed_ms_total": 1.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_dc188a711717c2ac/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..68be321d261293d92af616a620057900c18bc5a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=region, condition_col=smoker. +Result preview: [{"region": "southwest", "condition_rate": 0.827485380116959}, {"region": "northwest", "condition_rate": 0.822289156626506}, {"region": "northeast", "condition_rate": 0.7933130699088146}, {"region": "southeast", "condition_rate": 0.7493472584856397}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..25d79d41c63e6413b74b6c01186979e8c00a3a78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/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: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m4_dc188a711717c2ac +-- problem_id: v2p_m4_346244da9602fe1a +-- realization_mode: agent +-- source_kind: agent +SELECT "region", + AVG(CASE WHEN "smoker" = 'no' THEN 1 ELSE 0 END) AS condition_rate +FROM "m4" +GROUP BY "region" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fd71b8caa664f16b86e2ff3a2842180473832850 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/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 \"region\",\n AVG(CASE WHEN \"smoker\" = 'no' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m4\"\nGROUP BY \"region\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate.\\nSELECT \\\"region\\\",\\n AVG(CASE WHEN \\\"smoker\\\" = 'no' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"region\", \"condition_rate\"], \"rows\": [{\"region\": \"southwest\", \"condition_rate\": 0.827485380116959}, {\"region\": \"northwest\", \"condition_rate\": 0.822289156626506}, {\"region\": \"northeast\", \"condition_rate\": 0.7933130699088146}, {\"region\": \"southeast\", \"condition_rate\": 0.7493472584856397}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.42}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cdedb54fd4e8f8a52db4e598f04936c7ae6f9f88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:55:33.912149+00:00", + "ended_at": "2026-05-19T15:55:46.593104+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_dc188a711717c2ac", + "problem_id": "v2p_m4_346244da9602fe1a", + "dataset_id": "m4", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=region, condition_col=smoker.", + "bindings": { + "group_col": "region", + "condition_col": "smoker", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=103" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_dc188a711717c2ac.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_dc188a711717c2ac", + "api_calls": 0, + "input_tokens": 13732, + "cached_input_tokens": 12672, + "output_tokens": 253, + "total_tokens": 13985, + "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": 11670.9, + "sql_execution_elapsed_ms_total": 2.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_dc188a711717c2ac/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e48c1f73ab7f7710ea566a40ff3fb708050e1cfc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:55:37.256224+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": 3341.69, "started_at": "2026-05-19T15:55:33.913662+00:00", "ended_at": "2026-05-19T15:55:37.255383+00:00", "prompt_metrics": {"chars": 5537, "bytes_utf8": 5537, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-19a8-7eb1-ba1b-d1cc542bb4bd\"}\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": "2026-05-19T15:55:46.588086+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": 8329.21, "started_at": "2026-05-19T15:55:38.257563+00:00", "ended_at": "2026-05-19T15:55:46.586820+00:00", "prompt_metrics": {"chars": 5537, "bytes_utf8": 5537, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 380, "bytes_utf8": 380, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13732, "cached_input_tokens": 12672, "output_tokens": 253, "reasoning_output_tokens": 145}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate.\\nSELECT \\\"region\\\",\\n AVG(CASE WHEN \\\"smoker\\\" = 'no' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col=\\\"region\\\" and condition_col=\\\"smoker\\\", measuring the rate of non-smokers ('no') in each region.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4ee688951e942882063099500a8817bb405752af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_dc188a711717c2ac", + "api_calls": 0, + "input_tokens": 13732, + "cached_input_tokens": 12672, + "output_tokens": 253, + "total_tokens": 13985, + "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": 11670.9, + "sql_execution_elapsed_ms_total": 2.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_e359151b85448ea2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..045712ea80260b1cae2b58da2934ba531c4bce1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age. +Result preview: [{"empirical_cdf_at_threshold": 0.7554112554112554}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..cc1ab1c41eb45b529149a8144e5827cf213fcc9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/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: m4 +-- 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_m4_e359151b85448ea2 +-- problem_id: v2p_m4_51815931921fc0e6 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("age" AS REAL) <= 51.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m4"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..64f3b405d88dd762a254a530177a36963a654b76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/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(\"age\" AS REAL) <= 51.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m4\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf.\\nSELECT AVG(CASE WHEN CAST(\\\"age\\\" AS REAL) <= 51.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m4\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7554112554112554}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.67}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..66ae6dc24f08d5f0e2fde7aea2191c35f3a234db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:56:20.384979+00:00", + "ended_at": "2026-05-19T15:56:28.956381+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_e359151b85448ea2", + "problem_id": "v2p_m4_51815931921fc0e6", + "dataset_id": "m4", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age.", + "bindings": { + "measure_col": "age", + "top_k": 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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=4", + "sql_variant_index=1/1", + "binding_index=111" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "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/m4/sql/v2q_m4_e359151b85448ea2.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_e359151b85448ea2", + "api_calls": 0, + "input_tokens": 13660, + "cached_input_tokens": 12672, + "output_tokens": 297, + "total_tokens": 13957, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8566.84, + "sql_execution_elapsed_ms_total": 0.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_e359151b85448ea2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b44428ae548a06c6c248a2ef801e37e846722bf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:28.954447+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": 8566.84, "started_at": "2026-05-19T15:56:20.386801+00:00", "ended_at": "2026-05-19T15:56:28.953675+00:00", "prompt_metrics": {"chars": 5230, "bytes_utf8": 5230, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 348, "bytes_utf8": 348, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13660, "cached_input_tokens": 12672, "output_tokens": 297, "reasoning_output_tokens": 195}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf.\\nSELECT AVG(CASE WHEN CAST(\\\"age\\\" AS REAL) <= 51.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m4\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to age and measure_threshold fixed at 51.0. CAST is used because the SQLite schema stores age as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e9488c87d0cbdfc6341cb626c17d3ee118618de6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_e359151b85448ea2", + "api_calls": 0, + "input_tokens": 13660, + "cached_input_tokens": 12672, + "output_tokens": 297, + "total_tokens": 13957, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8566.84, + "sql_execution_elapsed_ms_total": 0.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e359151b85448ea2/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_e63ae87bf69b08f1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..19402a9adee5ea975368834d940a89cd6c044081 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:58:24.413484+00:00", + "ended_at": "2026-05-19T15:58:31.534978+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_e63ae87bf69b08f1", + "problem_id": "v2p_m4_ab2fe11b7f9a293f", + "dataset_id": "m4", + "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=sex.", + "bindings": { + "group_col": "sex", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=124" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d054bc18d5ca56eb14dd058bef7c0c5bed42f4f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:58:27.509296+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": 3093.23, "started_at": "2026-05-19T15:58:24.415084+00:00", "ended_at": "2026-05-19T15:58:27.508350+00:00", "prompt_metrics": {"chars": 5286, "bytes_utf8": 5286, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-b3b4-7400-a7e8-a01e4bd587c4\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:58:31.534893+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": 3023.17, "started_at": "2026-05-19T15:58:28.510970+00:00", "ended_at": "2026-05-19T15:58:31.534188+00:00", "prompt_metrics": {"chars": 5286, "bytes_utf8": 5286, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f5-c3c5-78b0-b7b5-3152b73bb364\"}\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/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7604bf99b969c26a30f93beb938295f2477f705 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=region, measure_col=age. +Result preview: [{"region": "northeast", "bmi": "32.3", "total_measure": 716.0, "share_within_group": 2.772829370304392}, {"region": "southwest", "bmi": "27.5", "total_measure": 656.0, "share_within_group": 2.4343179456731483}, {"region": "southeast", "bmi": "38.06", "total_measure": 646.0, "share_within_group": 2.1756702141991107}, {"region": "northeast", "bmi": "30.78", "total_measure": 558.0, "share_within_group": 2.1609480288126406}, {"region": "southwest", "bmi": "25.8", "total_measure": 582.0, "share_within_group": 2.159715006679531}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2eb9a6b1aed34ecdb80c4762cc392496303d8b44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/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: m4 +-- 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_m4_eb6d212c9c19ed6c +-- problem_id: v2p_m4_0d1e0312db7caebe +-- realization_mode: agent +-- source_kind: agent +SELECT "region", "bmi", + SUM(CAST("age" AS REAL)) AS total_measure, + SUM(CAST("age" AS REAL)) * 100.0 / SUM(SUM(CAST("age" AS REAL))) OVER (PARTITION BY "region") AS share_within_group +FROM "m4" +GROUP BY "region", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c18ea2153a7eaa1136f5e4578ebcbb7b9915bfe9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"region\", \"bmi\",\n SUM(CAST(\"age\" AS REAL)) AS total_measure,\n SUM(CAST(\"age\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"age\" AS REAL))) OVER (PARTITION BY \"region\") AS share_within_group\nFROM \"m4\"\nGROUP BY \"region\", \"bmi\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"region\\\", \\\"bmi\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"age\\\" AS REAL))) OVER (PARTITION BY \\\"region\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"region\", \"bmi\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"region\": \"northeast\", \"bmi\": \"32.3\", \"total_measure\": 716.0, \"share_within_group\": 2.772829370304392}, {\"region\": \"southwest\", \"bmi\": \"27.5\", \"total_measure\": 656.0, \"share_within_group\": 2.4343179456731483}, {\"region\": \"southeast\", \"bmi\": \"38.06\", \"total_measure\": 646.0, \"share_within_group\": 2.1756702141991107}, {\"region\": \"northeast\", \"bmi\": \"30.78\", \"total_measure\": 558.0, \"share_within_group\": 2.1609480288126406}, {\"region\": \"southwest\", \"bmi\": \"25.8\", \"total_measure\": 582.0, \"share_within_group\": 2.159715006679531}, {\"region\": \"northwest\", \"bmi\": \"30.495\", \"total_measure\": 548.0, \"share_within_group\": 2.111753371868979}, {\"region\": \"northwest\", \"bmi\": \"28.31\", \"total_measure\": 542.0, \"share_within_group\": 2.0886319845857417}, {\"region\": \"southwest\", \"bmi\": \"30.8\", \"total_measure\": 532.0, \"share_within_group\": 1.9741724803324923}, {\"region\": \"southwest\", \"bmi\": \"30.2\", \"total_measure\": 520.0, \"share_within_group\": 1.929642274009203}, {\"region\": \"northeast\", \"bmi\": \"25.46\", \"total_measure\": 496.0, \"share_within_group\": 1.9208426922779025}, {\"region\": \"northwest\", \"bmi\": \"27.645\", \"total_measure\": 490.0, \"share_within_group\": 1.8882466281310213}, {\"region\": \"southwest\", \"bmi\": \"37.1\", \"total_measure\": 500.0, \"share_within_group\": 1.8554252634703874}, {\"region\": \"southeast\", \"bmi\": \"33.33\", \"total_measure\": 542.0, \"share_within_group\": 1.8254075171763438}, {\"region\": \"northwest\", \"bmi\": \"32.775\", \"total_measure\": 466.0, \"share_within_group\": 1.7957610789980731}, {\"region\": \"northwest\", \"bmi\": \"30.875\", \"total_measure\": 458.0, \"share_within_group\": 1.764932562620424}, {\"region\": \"southwest\", \"bmi\": \"34.8\", \"total_measure\": 474.0, \"share_within_group\": 1.7589431497699273}, {\"region\": \"northeast\", \"bmi\": \"29.83\", \"total_measure\": 448.0, \"share_within_group\": 1.734954689799396}, {\"region\": \"northwest\", \"bmi\": \"35.815\", \"total_measure\": 444.0, \"share_within_group\": 1.7109826589595376}, {\"region\": \"southwest\", \"bmi\": \"28.7\", \"total_measure\": 460.0, \"share_within_group\": 1.7069912423927565}, {\"region\": \"southwest\", \"bmi\": \"35.3\", \"total_measure\": 458.0, \"share_within_group\": 1.699569541338875}, {\"region\": \"southeast\", \"bmi\": \"29.92\", \"total_measure\": 494.0, \"share_within_group\": 1.6637478108581436}, {\"region\": \"northwest\", \"bmi\": \"24.32\", \"total_measure\": 420.0, \"share_within_group\": 1.6184971098265897}, {\"region\": \"southeast\", \"bmi\": \"35.2\", \"total_measure\": 462.0, \"share_within_group\": 1.555974673312677}, {\"region\": \"southwest\", \"bmi\": \"28.9\", \"total_measure\": 416.0, \"share_within_group\": 1.5437138192073623}, {\"region\": \"northeast\", \"bmi\": \"32.395\", \"total_measure\": 398.0, \"share_within_group\": 1.5413213538842847}, {\"region\": \"northwest\", \"bmi\": \"32.3\", \"total_measure\": 396.0, \"share_within_group\": 1.5260115606936415}, {\"region\": \"southeast\", \"bmi\": \"36.08\", \"total_measure\": 440.0, \"share_within_group\": 1.4818806412501684}, {\"region\": \"southwest\", \"bmi\": \"31.6\", \"total_measure\": 398.0, \"share_within_group\": 1.4769185097224284}, {\"region\": \"northwest\", \"bmi\": \"33.63\", \"total_measure\": 376.0, \"share_within_group\": 1.4489402697495184}, {\"region\": \"northeast\", \"bmi\": \"27.74\", \"total_measure\": 370.0, \"share_within_group\": 1.4328866857718225}, {\"region\": \"southwest\", \"bmi\": \"25.6\", \"total_measure\": 384.0, \"share_within_group\": 1.4249666023452576}, {\"region\": \"northeast\", \"bmi\": \"27.36\", \"total_measure\": 360.0, \"share_within_group\": 1.3941600185888003}, {\"region\": \"southeast\", \"bmi\": \"39.16\", \"total_measure\": 412.0, \"share_within_group\": 1.387579145897885}, {\"region\": \"southeast\", \"bmi\": \"34.21\", \"total_measure\": 410.0, \"share_within_group\": 1.3808433248012932}, {\"region\": \"southwest\", \"bmi\": \"33.1\", \"total_measure\": 370.0, \"share_within_group\": 1.3730146949680866}, {\"region\": \"southeast\", \"bmi\": \"27.83\", \"total_measure\": 402.0, \"share_within_group\": 1.3539000404149266}, {\"region\": \"southeast\", \"bmi\": \"35.97\", \"total_measure\": 400.0, \"share_within_group\": 1.3471642193183349}, {\"region\": \"northwest\", \"bmi\": \"26.695\", \"total_measure\": 346.0, \"share_within_group\": 1.3333333333333333}, {\"region\": \"northeast\", \"bmi\": \"31.825\", \"total_measure\": 344.0, \"share_within_group\": 1.3321973510959646}, {\"region\": \"northwest\", \"bmi\": \"30.02\", \"total_measure\": 342.0, \"share_within_group\": 1.3179190751445087}, {\"region\": \"northwest\", \"bmi\": \"31.16\", \"total_measure\": 342.0, \"share_within_group\": 1.3179190751445087}, {\"region\": \"southwest\", \"bmi\": \"27.6\", \"total_measure\": 354.0, \"share_within_group\": 1.3136410865370343}, {\"region\": \"southwest\", \"bmi\": \"30.5\", \"total_measure\": 354.0, \"share_within_group\": 1.3136410865370343}, {\"region\": \"southeast\", \"bmi\": \"42.13\", \"total_measure\": 390.0, \"share_within_group\": 1.3134851138353765}, {\"region\": \"northeast\", \"bmi\": \"32.11\", \"total_measure\": 336.0, \"share_within_group\": 1.3012160173495468}, {\"region\": \"northwest\", \"bmi\": \"32.965\", \"total_measure\": 334.0, \"share_within_group\": 1.2870905587668593}, {\"region\": \"southwest\", \"bmi\": \"37.4\", \"total_measure\": 346.0, \"share_within_group\": 1.283954282321508}, {\"region\": \"southeast\", \"bmi\": \"33.66\", \"total_measure\": 378.0, \"share_within_group\": 1.2730701872558265}, {\"region\": \"southwest\", \"bmi\": \"36.1\", \"total_measure\": 340.0, \"share_within_group\": 1.2616891791598634}, {\"region\": \"northwest\", \"bmi\": \"28.215\", \"total_measure\": 326.0, \"share_within_group\": 1.25626204238921}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.72}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ff6d21ab438e2413eab978c6933c33e543d184d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:33:25.026104+00:00", + "ended_at": "2026-05-19T15:33:45.916961+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_eb6d212c9c19ed6c", + "problem_id": "v2p_m4_0d1e0312db7caebe", + "dataset_id": "m4", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=region, measure_col=age.", + "bindings": { + "group_col": "region", + "measure_col": "age", + "item_col": "bmi", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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/m4/sql/v2q_m4_eb6d212c9c19ed6c.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_eb6d212c9c19ed6c", + "api_calls": 0, + "input_tokens": 13788, + "cached_input_tokens": 12032, + "output_tokens": 463, + "total_tokens": 14251, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20880.61, + "sql_execution_elapsed_ms_total": 5.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b72a5a9cf1c80725c32004328b6d550f2bac38ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:45.909333+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": 20880.61, "started_at": "2026-05-19T15:33:25.027684+00:00", "ended_at": "2026-05-19T15:33:45.908334+00:00", "prompt_metrics": {"chars": 5697, "bytes_utf8": 5697, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 544, "bytes_utf8": 544, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13788, "cached_input_tokens": 12032, "output_tokens": 463, "reasoning_output_tokens": 305}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"region\\\", \\\"bmi\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"age\\\" AS REAL))) OVER (PARTITION BY \\\"region\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"region\\\", item_col=\\\"bmi\\\", and measure_col=\\\"age\\\". Cast \\\"age\\\" to REAL because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..30c63141c3e98e2fac7053aec264f3ef6fba885b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_eb6d212c9c19ed6c", + "api_calls": 0, + "input_tokens": 13788, + "cached_input_tokens": 12032, + "output_tokens": 463, + "total_tokens": 14251, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20880.61, + "sql_execution_elapsed_ms_total": 5.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_eb6d212c9c19ed6c/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_ec9fc327163579e2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4a6470f928e80c910b1de2a42c417bec55ec4eaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/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=smoker, measure_col=age. +Result preview: [{"smoker": "no", "avg_measure": 39.27536231884058}, {"smoker": "yes", "avg_measure": 38.46099290780142}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..17a2568410dfd43bd38284c175dee77151e0079a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/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: m4 +-- 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_m4_ec9fc327163579e2 +-- problem_id: v2p_m4_e51649e7c0e29740 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "smoker", + AVG(CAST("age" AS REAL)) OVER (PARTITION BY "smoker") AS avg_measure +FROM "m4" +WHERE "smoker" IS NOT NULL + AND TRIM("smoker") <> '' + AND "age" IS NOT NULL + AND TRIM("age") <> '' +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9330f5552acb4867e7ed9c8dd546452a39934960 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n \"smoker\",\n AVG(CAST(\"age\" AS REAL)) OVER (PARTITION BY \"smoker\") AS avg_measure\nFROM \"m4\"\nWHERE \"smoker\" IS NOT NULL\n AND TRIM(\"smoker\") <> ''\n AND \"age\" IS NOT NULL\n AND TRIM(\"age\") <> ''\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"smoker\\\",\\n AVG(CAST(\\\"age\\\" AS REAL)) OVER (PARTITION BY \\\"smoker\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nWHERE \\\"smoker\\\" IS NOT NULL\\n AND TRIM(\\\"smoker\\\") <> ''\\n AND \\\"age\\\" IS NOT NULL\\n AND TRIM(\\\"age\\\") <> ''\\nORDER BY avg_measure DESC;\", \"columns\": [\"smoker\", \"avg_measure\"], \"rows\": [{\"smoker\": \"no\", \"avg_measure\": 39.27536231884058}, {\"smoker\": \"yes\", \"avg_measure\": 38.46099290780142}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 12.16}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1a81272b6ef576d9be8d1a57a98ac24f866a08b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:09.531755+00:00", + "ended_at": "2026-05-19T16:01:28.121490+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_ec9fc327163579e2", + "problem_id": "v2p_m4_e51649e7c0e29740", + "dataset_id": "m4", + "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=smoker, measure_col=age.", + "bindings": { + "group_col": "smoker", + "measure_col": "age", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=138" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ec9fc327163579e2.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ec9fc327163579e2", + "api_calls": 0, + "input_tokens": 13683, + "cached_input_tokens": 12032, + "output_tokens": 635, + "total_tokens": 14318, + "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": 17570.57, + "sql_execution_elapsed_ms_total": 12.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_ec9fc327163579e2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..78bc8966f1364005cd64a6a2c17c82984fc31c67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:01:12.564373+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": 3031.05, "started_at": "2026-05-19T16:01:09.532599+00:00", "ended_at": "2026-05-19T16:01:12.563675+00:00", "prompt_metrics": {"chars": 5376, "bytes_utf8": 5376, "lines": 180, "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\":\"019e40f8-389b-7ab3-8a3b-f156d261192a\"}\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": "2026-05-19T16:01:28.106508+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": 14539.52, "started_at": "2026-05-19T16:01:13.565339+00:00", "ended_at": "2026-05-19T16:01:28.104907+00:00", "prompt_metrics": {"chars": 5376, "bytes_utf8": 5376, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 536, "bytes_utf8": 536, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13683, "cached_input_tokens": 12032, "output_tokens": 635, "reasoning_output_tokens": 480}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"smoker\\\",\\n AVG(CAST(\\\"age\\\" AS REAL)) OVER (PARTITION BY \\\"smoker\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nWHERE \\\"smoker\\\" IS NOT NULL\\n AND TRIM(\\\"smoker\\\") <> ''\\n AND \\\"age\\\" IS NOT NULL\\n AND TRIM(\\\"age\\\") <> ''\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"smoker\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" to REAL because the schema stores it as TEXT, and filtered out NULL/blank values for a stable view.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..37f8bb0065020b6d2f5dc8cc2315e406b9804225 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ec9fc327163579e2", + "api_calls": 0, + "input_tokens": 13683, + "cached_input_tokens": 12032, + "output_tokens": 635, + "total_tokens": 14318, + "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": 17570.57, + "sql_execution_elapsed_ms_total": 12.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_f1983c50427847af/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f1983c50427847af/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ace1de1fc11d9d9f98ae343fa75e78a8aae55491 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f1983c50427847af/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=smoker, measure_col=children. +Result preview: [{"smoker": "no", "group_value": 2424.0}, {"smoker": "yes", "group_value": 630.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f1983c50427847af/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f1983c50427847af/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e1a4b7bd3019f3a136a9ed930a17f5e6ea955b7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f1983c50427847af/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: m4 +-- 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_m4_f1983c50427847af +-- problem_id: v2p_m4_0e505b32f75083ab +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "smoker", SUM(CAST("children" AS REAL)) AS group_value + FROM "m4" + GROUP BY "smoker" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."smoker", 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/m4/artifacts/v2q_m4_f1983c50427847af/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f1983c50427847af/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..48c0b720c53765fbc2731a5cb1069e5cb45c0fdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f1983c50427847af/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 \"smoker\", SUM(CAST(\"children\" AS REAL)) AS group_value\n FROM \"m4\"\n GROUP BY \"smoker\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"smoker\", 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 \\\"smoker\\\", SUM(CAST(\\\"children\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"smoker\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"smoker\\\", 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\": [\"smoker\", \"group_value\"], \"rows\": [{\"smoker\": \"no\", \"group_value\": 2424.0}, {\"smoker\": \"yes\", \"group_value\": 630.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.44}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f1983c50427847af/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f1983c50427847af/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..389831fd14b858d0d4ff2bb2331df5519ad77348 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f1983c50427847af/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:42:13.181061+00:00", + "ended_at": "2026-05-19T15:42:23.516077+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_f1983c50427847af", + "problem_id": "v2p_m4_0e505b32f75083ab", + "dataset_id": "m4", + "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=smoker, measure_col=children.", + "bindings": { + "group_col": "smoker", + "measure_col": "children", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=74" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_f1983c50427847af.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_f1983c50427847af", + "api_calls": 0, + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 408, + "total_tokens": 14215, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10327.31, + "sql_execution_elapsed_ms_total": 2.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f1983c50427847af/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_f1983c50427847af/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f1983c50427847af/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dd0c09d52c4d331aad181d9f7cebdca90c943540 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f1983c50427847af/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:23.511371+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": 10327.31, "started_at": "2026-05-19T15:42:13.182650+00:00", "ended_at": "2026-05-19T15:42:23.510035+00:00", "prompt_metrics": {"chars": 5853, "bytes_utf8": 5853, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 652, "bytes_utf8": 652, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13807, "cached_input_tokens": 12672, "output_tokens": 408, "reasoning_output_tokens": 238}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"smoker\\\", SUM(CAST(\\\"children\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"smoker\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"smoker\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the provided Relative-to-Total Extreme Threshold template with group_col=\\\"smoker\\\" and measure_col=\\\"children\\\". Cast \\\"children\\\" from TEXT to REAL because the SQLite schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f1983c50427847af/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f1983c50427847af/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e99bce805ba47a3ed0cfd0113ebccd238bf6f85a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f1983c50427847af/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_f1983c50427847af", + "api_calls": 0, + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 408, + "total_tokens": 14215, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10327.31, + "sql_execution_elapsed_ms_total": 2.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f1983c50427847af/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_ff564489d1b73a10/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..103b29d433fd8d2fdf01d080e3855e8cd7de7670 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=sex, group_col_2=smoker. +Result preview: [{"sex": "female", "smoker": "no", "row_count": 322}, {"sex": "male", "smoker": "no", "row_count": 284}, {"sex": "male", "smoker": "yes", "row_count": 78}, {"sex": "female", "smoker": "yes", "row_count": 54}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..70ec00e4de1f3e26d1f7ff57b90fe281a889f517 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/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: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m4_ff564489d1b73a10 +-- problem_id: v2p_m4_46e1ab388213a396 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "smoker", COUNT(*) AS row_count +FROM "m4" +WHERE CAST("age" AS REAL) >= 51.0 +GROUP BY "sex", "smoker" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..98374847bc5bff641ccc8f0415f0be752ecf6bf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"sex\", \"smoker\", COUNT(*) AS row_count\nFROM \"m4\"\nWHERE CAST(\"age\" AS REAL) >= 51.0\nGROUP BY \"sex\", \"smoker\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"sex\\\", \\\"smoker\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nWHERE CAST(\\\"age\\\" AS REAL) >= 51.0\\nGROUP BY \\\"sex\\\", \\\"smoker\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"sex\", \"smoker\", \"row_count\"], \"rows\": [{\"sex\": \"female\", \"smoker\": \"no\", \"row_count\": 322}, {\"sex\": \"male\", \"smoker\": \"no\", \"row_count\": 284}, {\"sex\": \"male\", \"smoker\": \"yes\", \"row_count\": 78}, {\"sex\": \"female\", \"smoker\": \"yes\", \"row_count\": 54}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.08}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..faa6be60803872880dc8afff8217c88941543dc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:38:33.057852+00:00", + "ended_at": "2026-05-19T15:38:41.621169+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_ff564489d1b73a10", + "problem_id": "v2p_m4_46e1ab388213a396", + "dataset_id": "m4", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=sex, group_col_2=smoker.", + "bindings": { + "group_col": "sex", + "group_col_2": "smoker", + "predicate_col": "age", + "predicate_op": ">=", + "predicate_value": 51.0, + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=49" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ff564489d1b73a10.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ff564489d1b73a10", + "api_calls": 0, + "input_tokens": 13765, + "cached_input_tokens": 12032, + "output_tokens": 308, + "total_tokens": 14073, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8556.15, + "sql_execution_elapsed_ms_total": 2.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/conversation.jsonl", + "note": "Executed through a 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/m4/artifacts/v2q_m4_ff564489d1b73a10/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8824781b75e5a820afa20a0386d2da85417a6f38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:41.616360+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": 8556.15, "started_at": "2026-05-19T15:38:33.058606+00:00", "ended_at": "2026-05-19T15:38:41.614785+00:00", "prompt_metrics": {"chars": 5596, "bytes_utf8": 5596, "lines": 184, "estimated_tokens": null}, "response_metrics": {"chars": 423, "bytes_utf8": 423, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13765, "cached_input_tokens": 12032, "output_tokens": 308, "reasoning_output_tokens": 189}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"sex\\\", \\\"smoker\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nWHERE CAST(\\\"age\\\" AS REAL) >= 51.0\\nGROUP BY \\\"sex\\\", \\\"smoker\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the planned filtered two-dimensional group count template with group_col=\\\"sex\\\", group_col_2=\\\"smoker\\\", and a numeric age predicate. CAST was used because the schema stores \\\"age\\\" as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..10c43fdb76bded7de1b923693a7647e494a5d499 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ff564489d1b73a10", + "api_calls": 0, + "input_tokens": 13765, + "cached_input_tokens": 12032, + "output_tokens": 308, + "total_tokens": 14073, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8556.15, + "sql_execution_elapsed_ms_total": 2.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/conversation.jsonl", + "note": "Executed through a 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/m4/sql/v2q_m4_000ca3051527f46d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_000ca3051527f46d.sql new file mode 100644 index 0000000000000000000000000000000000000000..cbf208d5993af75a78b2c935533525083ec4f298 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_000ca3051527f46d.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: m4 +-- 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_m4_000ca3051527f46d +-- problem_id: v2p_m4_d5b26a255d89f278 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "children", SUM(CAST("bmi" AS REAL)) AS group_value + FROM "m4" + GROUP BY "children" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."children", 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/m4/sql/v2q_m4_0094e2309060cdf8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_0094e2309060cdf8.sql new file mode 100644 index 0000000000000000000000000000000000000000..dac26731dec2f66ab188609f0583c4a738263a81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_0094e2309060cdf8.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: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m4_0094e2309060cdf8 +-- problem_id: v2p_m4_81c28703029afd50 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "smoker", COUNT(*) AS "row_count" +FROM "m4" +WHERE CAST("charges" AS REAL) >= 16577.7795 +GROUP BY "sex", "smoker" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_00dbb372c27adbbd.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_00dbb372c27adbbd.sql new file mode 100644 index 0000000000000000000000000000000000000000..a990d38b3741f406992e8a9b5ed37d5b83ae94eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_00dbb372c27adbbd.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: m4 +-- 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_m4_00dbb372c27adbbd +-- problem_id: v2p_m4_97df06abb89e02a4 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "sex", + SUM(CASE WHEN CAST("charges" AS REAL) = 10096.97 THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN CAST("charges" AS REAL) = 10602.385 THEN 1 ELSE 0 END) AS denominator_count + FROM "m4" + GROUP BY "sex" +) +SELECT "sex", + 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/m4/sql/v2q_m4_01f603f86184ebe4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_01f603f86184ebe4.sql new file mode 100644 index 0000000000000000000000000000000000000000..d8afe4cadb9599a912e5ff51b582def5ccf8edff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_01f603f86184ebe4.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: m4 +-- 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_m4_01f603f86184ebe4 +-- problem_id: v2p_m4_9b6d0cb30745abad +-- realization_mode: agent +-- source_kind: agent +SELECT + "children", + COUNT(*) AS support +FROM "m4" +GROUP BY "children" +ORDER BY support ASC, "children" +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_03309d2c0c31ef62.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_03309d2c0c31ef62.sql new file mode 100644 index 0000000000000000000000000000000000000000..5da83b99b513a7aa2fac4513e1d4e6daa5bc8b0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_03309d2c0c31ef62.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: m4 +-- 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_m4_03309d2c0c31ef62 +-- problem_id: v2p_m4_c2836abb4af685eb +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "smoker", SUM(CAST("children" AS REAL)) AS "group_value" + FROM "m4" + GROUP BY "smoker" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."smoker", 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/m4/sql/v2q_m4_070f61326664844d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_070f61326664844d.sql new file mode 100644 index 0000000000000000000000000000000000000000..64dd931b94f409842175d08be13027dd5ae44317 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_070f61326664844d.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: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m4_070f61326664844d +-- problem_id: v2p_m4_305da64bec96af8b +-- realization_mode: agent +-- source_kind: agent +SELECT + "region", + AVG(CASE WHEN "region" = 'southeast' THEN 1 ELSE 0 END) AS condition_rate +FROM "m4" +GROUP BY "region" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_08e5ec02e7ff369b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_08e5ec02e7ff369b.sql new file mode 100644 index 0000000000000000000000000000000000000000..ee678baf9f68376cd86e1ab57e5742245f692142 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_08e5ec02e7ff369b.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: m4 +-- 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_m4_08e5ec02e7ff369b +-- problem_id: v2p_m4_0a6430c93a190077 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "age", + COUNT(*) AS support, + AVG("children") AS avg_response +FROM "m4" +GROUP BY "age" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_0a083dc9d3769bf4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_0a083dc9d3769bf4.sql new file mode 100644 index 0000000000000000000000000000000000000000..adbc067dd09a500706f44608389b8334dfe7a4ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_0a083dc9d3769bf4.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: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m4_0a083dc9d3769bf4 +-- problem_id: v2p_m4_595fe9fddf790104 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "children", COUNT(*) AS row_count +FROM "m4" +WHERE "region" = 'northwest' +GROUP BY "sex", "children" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_1319c29b4cab8c25.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_1319c29b4cab8c25.sql new file mode 100644 index 0000000000000000000000000000000000000000..7b896b9c0575f8863ae415367cc3c0bee7cfc4df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_1319c29b4cab8c25.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: m4 +-- 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_m4_1319c29b4cab8c25 +-- problem_id: v2p_m4_d7aca4f9ab95e38f +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT "bmi", + NTILE(10) OVER (ORDER BY CAST("bmi" AS REAL) DESC) AS tail_bucket + FROM "m4" +) +SELECT "bmi" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("bmi" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_19b4cad6368ea6c2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_19b4cad6368ea6c2.sql new file mode 100644 index 0000000000000000000000000000000000000000..55f6fcd977baabbcddd15231a7d4ad8aa43d836f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_19b4cad6368ea6c2.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: m4 +-- 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_m4_19b4cad6368ea6c2 +-- problem_id: v2p_m4_3cbc73d522167114 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "children", + SUM(CASE WHEN "children" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "children" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "m4" + GROUP BY "children" +) +SELECT "children", + 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/m4/sql/v2q_m4_1c2953c35217b257.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_1c2953c35217b257.sql new file mode 100644 index 0000000000000000000000000000000000000000..cd6b5f4142a85ac5dbf2453d58403ebc2d16b4a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_1c2953c35217b257.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: m4 +-- 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_m4_1c2953c35217b257 +-- problem_id: v2p_m4_d1e4505b07f38c65 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("age" AS REAL) AS "age", + NTILE(10) OVER (ORDER BY CAST("age" AS REAL) DESC) AS tail_bucket + FROM "m4" +) +SELECT "age" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY "age" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_1d318b1df0537907.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_1d318b1df0537907.sql new file mode 100644 index 0000000000000000000000000000000000000000..2afdc984316f30ff3b509b049bece16677bf105b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_1d318b1df0537907.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: m4 +-- 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_m4_1d318b1df0537907 +-- problem_id: v2p_m4_dac09e28d79ea14f +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "sex" AS value_label, COUNT(*) AS support + FROM "m4" + GROUP BY "sex" +) +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/m4/sql/v2q_m4_1f730533602efff3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_1f730533602efff3.sql new file mode 100644 index 0000000000000000000000000000000000000000..f964e5a21f33e196b6ba7ed5987b726e1f0bb631 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_1f730533602efff3.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: m4 +-- 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_m4_1f730533602efff3 +-- problem_id: v2p_m4_6ece87a8b17d0766 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "charges", + COUNT(*) AS support, + AVG("age") AS avg_response +FROM "m4" +GROUP BY "charges" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_205d1e1eed534dc2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_205d1e1eed534dc2.sql new file mode 100644 index 0000000000000000000000000000000000000000..ccb3e71636f04811666d468f56435e1fed590b21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_205d1e1eed534dc2.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: m4 +-- 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_m4_205d1e1eed534dc2 +-- problem_id: v2p_m4_a0f97272ff3243b9 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "sex", + AVG(CAST("bmi" AS REAL)) OVER (PARTITION BY "sex") AS avg_measure +FROM "m4" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2364459d64059e66.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2364459d64059e66.sql new file mode 100644 index 0000000000000000000000000000000000000000..b48dd2247fdd9d1429482fe3030f4e4a1fa98dbf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2364459d64059e66.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: m4 +-- 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_m4_2364459d64059e66 +-- problem_id: v2p_m4_23d71220e42226c5 +-- realization_mode: agent +-- source_kind: agent +SELECT + "smoker", + CAST("bmi" AS REAL) AS "bmi", + SUM(CAST("age" AS REAL)) AS total_measure, + SUM(CAST("age" AS REAL)) * 100.0 / SUM(SUM(CAST("age" AS REAL))) OVER (PARTITION BY "smoker") AS share_within_group +FROM "m4" +GROUP BY "smoker", CAST("bmi" AS REAL) +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_267c6a327393f16a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_267c6a327393f16a.sql new file mode 100644 index 0000000000000000000000000000000000000000..b558ef24a2d6a35ca762dc69ab485e858372e64f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_267c6a327393f16a.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: m4 +-- 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_m4_267c6a327393f16a +-- problem_id: v2p_m4_53754ca3e96c112b +-- realization_mode: agent +-- source_kind: agent +SELECT "children", SUM(CAST("bmi" AS REAL)) AS total_measure +FROM "m4" +GROUP BY "children" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_27199dfc029f4a21.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_27199dfc029f4a21.sql new file mode 100644 index 0000000000000000000000000000000000000000..8094fc3e04d381c79db66c88a92ba36a7b431bcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_27199dfc029f4a21.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: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m4_27199dfc029f4a21 +-- problem_id: v2p_m4_a41bb0ced785db4a +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "region" AS value_label, COUNT(*) AS support + FROM "m4" + GROUP BY "region" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2893c1508c7e2375.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2893c1508c7e2375.sql new file mode 100644 index 0000000000000000000000000000000000000000..be8186331b91f5ab92891b4759c57a75fe1c1db5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2893c1508c7e2375.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: m4 +-- 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_m4_2893c1508c7e2375 +-- problem_id: v2p_m4_fd77de915bdfd09c +-- realization_mode: agent +-- source_kind: agent +SELECT + "children", + "age", + SUM(CAST("children" AS REAL)) AS total_measure, + SUM(CAST("children" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("children" AS REAL))) OVER (PARTITION BY "children"), 0) AS share_within_group +FROM "m4" +GROUP BY "children", "age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2a3d2b83ed92691f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2a3d2b83ed92691f.sql new file mode 100644 index 0000000000000000000000000000000000000000..841ce4eda6c08dde0218ced0187965e7ffe090e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2a3d2b83ed92691f.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: m4 +-- 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_m4_2a3d2b83ed92691f +-- problem_id: v2p_m4_6c37a3be89989bab +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "charges", + SUM(CAST("bmi" AS REAL)) AS total_measure, + SUM(CAST("bmi" AS REAL)) * 100.0 / SUM(SUM(CAST("bmi" AS REAL))) OVER (PARTITION BY "sex") AS share_within_group +FROM "m4" +GROUP BY "sex", "charges" +ORDER BY share_within_group DESC +LIMIT 18; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2a63d732aa0025b3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2a63d732aa0025b3.sql new file mode 100644 index 0000000000000000000000000000000000000000..b4e9c12cd7d558dfaa8f5e57c5cf20c076df0ff1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2a63d732aa0025b3.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: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m4_2a63d732aa0025b3 +-- problem_id: v2p_m4_297c9ba20f13cef9 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "children" AS value_label, COUNT(*) AS support + FROM "m4" + GROUP BY "children" +) +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/m4/sql/v2q_m4_2b502b48e8d5e802.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2b502b48e8d5e802.sql new file mode 100644 index 0000000000000000000000000000000000000000..5c0573d6fad75cd6295ccb3197b60c93abd21764 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2b502b48e8d5e802.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: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m4_2b502b48e8d5e802 +-- problem_id: v2p_m4_80c5fb731eebfc6d +-- realization_mode: agent +-- source_kind: agent +SELECT "children", + AVG(CASE WHEN "children" = '0' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m4" +GROUP BY "children" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2b6fe1b4cccc5837.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2b6fe1b4cccc5837.sql new file mode 100644 index 0000000000000000000000000000000000000000..6d530fbefc350744efea3f4f3beae569b7858bc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2b6fe1b4cccc5837.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: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m4_2b6fe1b4cccc5837 +-- problem_id: v2p_m4_1b8cf5fe2901c4e2 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "smoker" AS value_label, COUNT(*) AS support + FROM "m4" + GROUP BY "smoker" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2ba36a5febbfa62c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2ba36a5febbfa62c.sql new file mode 100644 index 0000000000000000000000000000000000000000..e41f082099a7d8d6805fa071a413b302ae4d8cf3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2ba36a5febbfa62c.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: m4 +-- 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_m4_2ba36a5febbfa62c +-- problem_id: v2p_m4_b782fc65f7f630d7 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", SUM(CAST("children" AS REAL)) AS total_measure +FROM "m4" +GROUP BY "children" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2bcab51108420bd2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2bcab51108420bd2.sql new file mode 100644 index 0000000000000000000000000000000000000000..3864780928b640ff35ff42c753ae898085434bee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2bcab51108420bd2.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: m4 +-- 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_m4_2bcab51108420bd2 +-- problem_id: v2p_m4_d7af8cdd9ecc550a +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "region", + AVG(CAST("age" AS REAL)) OVER (PARTITION BY "region") AS avg_measure +FROM "m4" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_308d83232796899f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_308d83232796899f.sql new file mode 100644 index 0000000000000000000000000000000000000000..5d2865120adbb19a1d60fd9cfddf4f2b4035913a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_308d83232796899f.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_308d83232796899f +-- problem_id: v2p_m4_a86209cab9dd6d28 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "smoker", SUM(CAST("age" AS REAL)) AS group_value + FROM "m4" + WHERE "smoker" IS NOT NULL AND "age" IS NOT NULL + GROUP BY "smoker" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."smoker", 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/m4/sql/v2q_m4_3256f418dff20ea2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_3256f418dff20ea2.sql new file mode 100644 index 0000000000000000000000000000000000000000..d367d95eaa88969ef8812113d44b159e3467a179 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_3256f418dff20ea2.sql @@ -0,0 +1,71 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_3256f418dff20ea2 +-- problem_id: v2p_m4_8c27d002d7ff3fa6 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "children", + CAST("bmi" AS REAL) AS "bmi_value", + ROW_NUMBER() OVER ( + PARTITION BY "children" + ORDER BY CAST("bmi" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "children" + ) AS "cnt" + FROM "m4" + WHERE "children" IS NOT NULL + AND TRIM("children") <> '' + AND "bmi" IS NOT NULL + AND TRIM("bmi") <> '' +), +"pos" AS ( + SELECT + "children", + MAX("cnt") AS "cnt", + MAX(1.0 + 0.95 * ("cnt" - 1)) AS "pos" + FROM "ordered" + GROUP BY "children" + HAVING MAX("cnt") >= 5 +), +"bounds" AS ( + SELECT + "children", + "pos", + CAST("pos" AS INTEGER) AS "lower_rn", + CASE + WHEN "pos" = CAST("pos" AS INTEGER) THEN CAST("pos" AS INTEGER) + ELSE CAST("pos" AS INTEGER) + 1 + END AS "upper_rn" + FROM "pos" +) +SELECT + "bounds"."children" AS "children", + CASE + WHEN "bounds"."lower_rn" = "bounds"."upper_rn" THEN + MAX(CASE WHEN "ordered"."rn" = "bounds"."lower_rn" THEN "ordered"."bmi_value" END) + ELSE + MAX(CASE WHEN "ordered"."rn" = "bounds"."lower_rn" THEN "ordered"."bmi_value" END) + + ("bounds"."pos" - "bounds"."lower_rn") * ( + MAX(CASE WHEN "ordered"."rn" = "bounds"."upper_rn" THEN "ordered"."bmi_value" END) - + MAX(CASE WHEN "ordered"."rn" = "bounds"."lower_rn" THEN "ordered"."bmi_value" END) + ) + END AS "percentile_measure" +FROM "bounds" +JOIN "ordered" + ON "ordered"."children" = "bounds"."children" +GROUP BY + "bounds"."children", + "bounds"."pos", + "bounds"."lower_rn", + "bounds"."upper_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_32a1bcfa006f7825.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_32a1bcfa006f7825.sql new file mode 100644 index 0000000000000000000000000000000000000000..5b87c8a5c1f63cccf1239e662f0f85d81cf998b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_32a1bcfa006f7825.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: m4 +-- 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_m4_32a1bcfa006f7825 +-- problem_id: v2p_m4_ae6684f357400499 +-- realization_mode: agent +-- source_kind: agent +SELECT "region", SUM(CAST("age" AS NUMERIC)) AS total_measure +FROM "m4" +GROUP BY "region" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_32b0b8bd71fa00a3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_32b0b8bd71fa00a3.sql new file mode 100644 index 0000000000000000000000000000000000000000..691a0e19311914a1a255d565b3c91262906c1ac8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_32b0b8bd71fa00a3.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: m4 +-- 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_m4_32b0b8bd71fa00a3 +-- problem_id: v2p_m4_0349b3fd77b39e80 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", SUM(CAST("age" AS REAL)) AS total_measure +FROM "m4" +GROUP BY "smoker" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_33e02da3bd18ff40.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_33e02da3bd18ff40.sql new file mode 100644 index 0000000000000000000000000000000000000000..6bc69635e164408b7266ec096feadf8ebdc5d8f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_33e02da3bd18ff40.sql @@ -0,0 +1,63 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_33e02da3bd18ff40 +-- problem_id: v2p_m4_d84815b2f61d2dc5 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "sex", + CAST("bmi" AS REAL) AS "bmi_value" + FROM "m4" + WHERE "sex" IS NOT NULL + AND TRIM("sex") <> '' + AND "bmi" IS NOT NULL + AND TRIM("bmi") <> '' +), +"ranked" AS ( + SELECT + "sex", + "bmi_value", + ROW_NUMBER() OVER ( + PARTITION BY "sex" + ORDER BY "bmi_value" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "sex" + ) AS "cnt" + FROM "base" +), +"positions" AS ( + SELECT DISTINCT + "sex", + ((0.9 * ("cnt" - 1)) + 1.0) AS "pos", + CAST(((0.9 * ("cnt" - 1)) + 1.0) AS INTEGER) AS "lo_rn", + CASE + WHEN ((0.9 * ("cnt" - 1)) + 1.0) = CAST(((0.9 * ("cnt" - 1)) + 1.0) AS INTEGER) + THEN CAST(((0.9 * ("cnt" - 1)) + 1.0) AS INTEGER) + ELSE CAST(((0.9 * ("cnt" - 1)) + 1.0) AS INTEGER) + 1 + END AS "hi_rn" + FROM "ranked" + WHERE "cnt" >= 5 +) +SELECT + "p"."sex", + CASE + WHEN "p"."lo_rn" = "p"."hi_rn" THEN "lo"."bmi_value" + ELSE "lo"."bmi_value" + (("p"."pos" - "p"."lo_rn") * ("hi"."bmi_value" - "lo"."bmi_value")) + END AS "percentile_measure" +FROM "positions" AS "p" +JOIN "ranked" AS "lo" + ON "lo"."sex" = "p"."sex" + AND "lo"."rn" = "p"."lo_rn" +JOIN "ranked" AS "hi" + ON "hi"."sex" = "p"."sex" + AND "hi"."rn" = "p"."hi_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_3422b7dafce43ccf.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_3422b7dafce43ccf.sql new file mode 100644 index 0000000000000000000000000000000000000000..d4da81b2bda09095620277e037000e68eb613ae1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_3422b7dafce43ccf.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: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m4_3422b7dafce43ccf +-- problem_id: v2p_m4_fb7b0be06ccbf6b2 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "region" AS value_label, COUNT(*) AS support + FROM "m4" + GROUP BY "region" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_358845fde268be0e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_358845fde268be0e.sql new file mode 100644 index 0000000000000000000000000000000000000000..3361d3242307f199fd00562a913d722a9740d87b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_358845fde268be0e.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: m4 +-- 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_m4_358845fde268be0e +-- problem_id: v2p_m4_47365ccc4a104f1c +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("age" AS REAL) AS "age", + NTILE(10) OVER (ORDER BY CAST("age" AS REAL) DESC) AS "tail_bucket" + FROM "m4" +) +SELECT "age" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY "age" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_37c94d5f53989dd3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_37c94d5f53989dd3.sql new file mode 100644 index 0000000000000000000000000000000000000000..3e098027042e6cdde895298280e17574f3101041 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_37c94d5f53989dd3.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_37c94d5f53989dd3 +-- problem_id: v2p_m4_1cafbbceaac5481b +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "children", SUM(CAST("bmi" AS REAL)) AS group_value + FROM "m4" + WHERE "bmi" IS NOT NULL AND "bmi" <> '' + GROUP BY "children" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."children", 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/m4/sql/v2q_m4_38ac3554a1298c99.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_38ac3554a1298c99.sql new file mode 100644 index 0000000000000000000000000000000000000000..682e1141b81a1bfa838cf18ccfbc92cf5541fe24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_38ac3554a1298c99.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: m4 +-- 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_m4_38ac3554a1298c99 +-- problem_id: v2p_m4_09f2c93de3e55a47 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", COUNT(*) AS row_count +FROM "m4" +GROUP BY "smoker" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_3f1f80ccf5c4f7db.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_3f1f80ccf5c4f7db.sql new file mode 100644 index 0000000000000000000000000000000000000000..d25177552f2df1df3435038ccff54a0a05fcc58a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_3f1f80ccf5c4f7db.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: m4 +-- 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_m4_3f1f80ccf5c4f7db +-- problem_id: v2p_m4_214954c2335e3b64 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "age", + SUM(CAST("children" AS REAL)) AS total_measure, + SUM(CAST("children" AS REAL)) * 100.0 / SUM(SUM(CAST("children" AS REAL))) OVER (PARTITION BY "sex") AS share_within_group +FROM "m4" +GROUP BY "sex", "age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_410a404cf6b5ee0a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_410a404cf6b5ee0a.sql new file mode 100644 index 0000000000000000000000000000000000000000..8aed420705bf58831eff2e7a727fd582dfa72f26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_410a404cf6b5ee0a.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: m4 +-- 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_m4_410a404cf6b5ee0a +-- problem_id: v2p_m4_2e1db484b8452a15 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "sex", + AVG(CAST("bmi" AS REAL)) OVER (PARTITION BY "sex") AS avg_measure +FROM "m4" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_419c4c695e6eb0ef.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_419c4c695e6eb0ef.sql new file mode 100644 index 0000000000000000000000000000000000000000..9c0ffe23eae95c4e7a0129ea9b67d297a532724a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_419c4c695e6eb0ef.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: m4 +-- 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_m4_419c4c695e6eb0ef +-- problem_id: v2p_m4_e53e6c66c27f1be5 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", + AVG(CASE WHEN "children" = '0' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m4" +GROUP BY "smoker" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_42d3582f1fabd11d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_42d3582f1fabd11d.sql new file mode 100644 index 0000000000000000000000000000000000000000..88a0be0ff13a028b429000cce61b5c3ad4d7e17e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_42d3582f1fabd11d.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: m4 +-- 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_m4_42d3582f1fabd11d +-- problem_id: v2p_m4_75d6438511964028 +-- realization_mode: agent +-- source_kind: agent +SELECT + "sex", + COUNT(*) AS support +FROM "m4" +GROUP BY "sex" +ORDER BY support ASC, "sex" +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_466079ec16179176.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_466079ec16179176.sql new file mode 100644 index 0000000000000000000000000000000000000000..34c2c909db60d3e8af8adf18dc7fbc4f2da1e0a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_466079ec16179176.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: m4 +-- 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_m4_466079ec16179176 +-- problem_id: v2p_m4_1a58e3bcce2e79d2 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", SUM(CAST("bmi" AS REAL)) AS total_measure +FROM "m4" +GROUP BY "sex" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_46e8a167bb24d5d8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_46e8a167bb24d5d8.sql new file mode 100644 index 0000000000000000000000000000000000000000..9cab2d74aa37096566871a01730c40dcb56780e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_46e8a167bb24d5d8.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: m4 +-- 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_m4_46e8a167bb24d5d8 +-- problem_id: v2p_m4_3f97f3aad1849352 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("bmi" AS REAL) <= 34.77 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m4"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_480f865f77a09619.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_480f865f77a09619.sql new file mode 100644 index 0000000000000000000000000000000000000000..246f0d9841884f7bcd66ffb5946a1a29154fc23d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_480f865f77a09619.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: m4 +-- 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_m4_480f865f77a09619 +-- problem_id: v2p_m4_ee25121a6e95c812 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "region", SUM(CAST("bmi" AS REAL)) AS "group_value" + FROM "m4" + GROUP BY "region" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."region", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_4a26f509c6c2d9f5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_4a26f509c6c2d9f5.sql new file mode 100644 index 0000000000000000000000000000000000000000..af5d8bcda9f8407e2d3bde61ef14ba2319db057c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_4a26f509c6c2d9f5.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: m4 +-- 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_m4_4a26f509c6c2d9f5 +-- problem_id: v2p_m4_70577e186f962e07 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", + AVG(CASE WHEN "sex" = 'female' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m4" +GROUP BY "sex" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_4bc15b2fb3865d11.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_4bc15b2fb3865d11.sql new file mode 100644 index 0000000000000000000000000000000000000000..2647e5af44193ce5729858c0582ca6e02161f941 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_4bc15b2fb3865d11.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: m4 +-- 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_m4_4bc15b2fb3865d11 +-- problem_id: v2p_m4_48f6f0defba7ea05 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "region", SUM(CAST("age" AS REAL)) AS group_value + FROM "m4" + GROUP BY "region" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."region", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_4e02c7edd524b3ac.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_4e02c7edd524b3ac.sql new file mode 100644 index 0000000000000000000000000000000000000000..dd48184b5f60d91d2ef1d3c4d909bc4bf3b18a96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_4e02c7edd524b3ac.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: m4 +-- 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_m4_4e02c7edd524b3ac +-- problem_id: v2p_m4_8bb6192f6b2226f2 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "smoker", + AVG(CAST("age" AS REAL)) OVER (PARTITION BY "smoker") AS avg_measure +FROM "m4" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_4e766c6556cb1d51.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_4e766c6556cb1d51.sql new file mode 100644 index 0000000000000000000000000000000000000000..209da3b7605dc110ca2e0a277275b3cc5679429f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_4e766c6556cb1d51.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: m4 +-- 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_m4_4e766c6556cb1d51 +-- problem_id: v2p_m4_d8dad3a6ef055461 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "children", SUM(CAST("children" AS REAL)) AS group_value + FROM "m4" + GROUP BY "children" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."children", 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/m4/sql/v2q_m4_4e79caaf9658165d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_4e79caaf9658165d.sql new file mode 100644 index 0000000000000000000000000000000000000000..12eecfc12cef946301a3e95c1e065d8b34b35065 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_4e79caaf9658165d.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: m4 +-- 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_m4_4e79caaf9658165d +-- problem_id: v2p_m4_e53928af633f4077 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", "age", + SUM(CAST("children" AS REAL)) AS total_measure, + SUM(CAST("children" AS REAL)) * 100.0 / SUM(SUM(CAST("children" AS REAL))) OVER (PARTITION BY "smoker") AS share_within_group +FROM "m4" +GROUP BY "smoker", "age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5038a21866608518.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5038a21866608518.sql new file mode 100644 index 0000000000000000000000000000000000000000..40057dd947489b6af89882dd5eda27901e61e31a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5038a21866608518.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: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m4_5038a21866608518 +-- problem_id: v2p_m4_03030989a365d109 +-- realization_mode: agent +-- source_kind: agent +SELECT + "smoker", + COUNT(*) AS support +FROM "m4" +GROUP BY "smoker" +ORDER BY support ASC, "smoker" +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_537ae759cba96261.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_537ae759cba96261.sql new file mode 100644 index 0000000000000000000000000000000000000000..d311d583a7cf618e1a5a1e6d13a6e5bf56f912e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_537ae759cba96261.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: m4 +-- 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_m4_537ae759cba96261 +-- problem_id: v2p_m4_ec76294962da4d3a +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", + AVG(CASE WHEN "charges" = '10096.97' THEN 1 ELSE 0 END) AS condition_rate +FROM "m4" +GROUP BY "sex" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_54a519f48536f778.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_54a519f48536f778.sql new file mode 100644 index 0000000000000000000000000000000000000000..79abb346378880c2422e4a1bbe1e6024ec2973d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_54a519f48536f778.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: m4 +-- 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_m4_54a519f48536f778 +-- problem_id: v2p_m4_24c2b18c46d509e9 +-- realization_mode: agent +-- source_kind: agent +SELECT + "region", + COUNT(*) AS support +FROM "m4" +GROUP BY "region" +ORDER BY support ASC, "region" +LIMIT 13; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5557885644aaef52.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5557885644aaef52.sql new file mode 100644 index 0000000000000000000000000000000000000000..6817242139e620dd57e68e946174af1ca8112ee3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5557885644aaef52.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: m4 +-- 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_m4_5557885644aaef52 +-- problem_id: v2p_m4_01430b664bcd7b2d +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", SUM(CAST("children" AS NUMERIC)) AS total_measure +FROM "m4" +GROUP BY "smoker" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_569d9d5212cdb55e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_569d9d5212cdb55e.sql new file mode 100644 index 0000000000000000000000000000000000000000..14d2551b5c4b23ecb4143ba9e804379b5aa87b74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_569d9d5212cdb55e.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: m4 +-- 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_m4_569d9d5212cdb55e +-- problem_id: v2p_m4_6a26a94d58e4726e +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("children" AS REAL) <= 2.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m4"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_584cc2e6e5cfdf31.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_584cc2e6e5cfdf31.sql new file mode 100644 index 0000000000000000000000000000000000000000..3dc4b7f017d88cac24d28e2c5aa99da291553fed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_584cc2e6e5cfdf31.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: m4 +-- 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_m4_584cc2e6e5cfdf31 +-- problem_id: v2p_m4_ce6397272892cf4f +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", SUM(CAST("children" AS INTEGER)) AS total_measure +FROM "m4" +GROUP BY "smoker" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5852f2d4fb7a839c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5852f2d4fb7a839c.sql new file mode 100644 index 0000000000000000000000000000000000000000..5217dd41a17ca984f9b9713cf7b1b1a4706701fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5852f2d4fb7a839c.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: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m4_5852f2d4fb7a839c +-- problem_id: v2p_m4_2280095990c53adf +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "region", COUNT(*) AS "row_count" +FROM "m4" +WHERE "sex" = 'male' +GROUP BY "sex", "region" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5adeb8c354bd3e36.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5adeb8c354bd3e36.sql new file mode 100644 index 0000000000000000000000000000000000000000..b8cd738d9113e7c1d2a89d2f410b99ef8360331d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5adeb8c354bd3e36.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: m4 +-- 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_m4_5adeb8c354bd3e36 +-- problem_id: v2p_m4_253b4f4ff1aa78fa +-- realization_mode: agent +-- source_kind: agent +SELECT "region", + AVG(CASE WHEN "smoker" = 'yes' THEN 1.0 ELSE 0.0 END) AS "condition_rate" +FROM "m4" +GROUP BY "region" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5b3b72d1608cc6b4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5b3b72d1608cc6b4.sql new file mode 100644 index 0000000000000000000000000000000000000000..c62cc09611d09273feb42b04f8f38989d2c7bfd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5b3b72d1608cc6b4.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: m4 +-- 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_m4_5b3b72d1608cc6b4 +-- problem_id: v2p_m4_d25ba59bfccb1034 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "charges", + COUNT(*) AS support, + AVG("children") AS avg_response +FROM "m4" +GROUP BY "charges" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5b8498a385fc40ad.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5b8498a385fc40ad.sql new file mode 100644 index 0000000000000000000000000000000000000000..be53e2c1909af7aeb8858480c470817bfec3ee1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_5b8498a385fc40ad.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: m4 +-- 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_m4_5b8498a385fc40ad +-- problem_id: v2p_m4_726bae56d7769d4b +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("age" AS REAL) AS "age", + NTILE(10) OVER (ORDER BY CAST("age" AS REAL) DESC) AS tail_bucket + FROM "m4" +) +SELECT "age" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY "age" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_6217c6c66c28cf54.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_6217c6c66c28cf54.sql new file mode 100644 index 0000000000000000000000000000000000000000..b535303fc158b74c5387437a22c69263e25fa3e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_6217c6c66c28cf54.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: m4 +-- 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_m4_6217c6c66c28cf54 +-- problem_id: v2p_m4_70c485b3ff2e0212 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", + AVG(CASE WHEN "smoker" = 'no' THEN 1 ELSE 0 END) AS condition_rate +FROM "m4" +GROUP BY "smoker" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_62f2028f51a63d27.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_62f2028f51a63d27.sql new file mode 100644 index 0000000000000000000000000000000000000000..5e6f308bb4869063458daf9eaa00b32a1c239278 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_62f2028f51a63d27.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: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m4_62f2028f51a63d27 +-- problem_id: v2p_m4_1b2bb7c4276a214b +-- realization_mode: agent +-- source_kind: agent +SELECT + "smoker", + COUNT(*) AS support +FROM "m4" +GROUP BY "smoker" +ORDER BY support ASC, "smoker" +LIMIT 17; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_647edd7ef31083a1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_647edd7ef31083a1.sql new file mode 100644 index 0000000000000000000000000000000000000000..0978bb62fd57d1efb3feca2e7c837874dbc1fa9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_647edd7ef31083a1.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: m4 +-- 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_m4_647edd7ef31083a1 +-- problem_id: v2p_m4_8729d64e0b80bded +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "sex", SUM(CAST("bmi" AS REAL)) AS group_value + FROM "m4" + GROUP BY "sex" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."sex", 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/m4/sql/v2q_m4_663bf9918255e925.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_663bf9918255e925.sql new file mode 100644 index 0000000000000000000000000000000000000000..e32b56a56c08575ace19b4f86b46a377fd1e97c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_663bf9918255e925.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: m4 +-- 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_m4_663bf9918255e925 +-- problem_id: v2p_m4_ee16dfc13c2e1db2 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", COUNT(*) AS row_count +FROM "m4" +GROUP BY "sex" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_6993f95ebc78a83a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_6993f95ebc78a83a.sql new file mode 100644 index 0000000000000000000000000000000000000000..0d47d3e5bfb967ce9091581ac3005865301319d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_6993f95ebc78a83a.sql @@ -0,0 +1,56 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_6993f95ebc78a83a +-- problem_id: v2p_m4_8b50d5fe0047d330 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "sex" AS "group_col", + CAST("bmi" AS REAL) AS "measure", + ROW_NUMBER() OVER ( + PARTITION BY "sex" + ORDER BY CAST("bmi" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "sex") AS "n" + FROM "m4" + WHERE "sex" IS NOT NULL + AND "bmi" IS NOT NULL +), +"positions" AS ( + SELECT DISTINCT + "group_col", + "n", + (1.0 + ("n" - 1) * 0.95) AS "pos", + CAST((1.0 + ("n" - 1) * 0.95) AS INTEGER) AS "lo", + CAST((1.0 + ("n" - 1) * 0.95) AS INTEGER) + + CASE + WHEN (1.0 + ("n" - 1) * 0.95) > CAST((1.0 + ("n" - 1) * 0.95) AS INTEGER) THEN 1 + ELSE 0 + END AS "hi" + FROM "ordered" +) +SELECT + "p"."group_col" AS "sex", + CASE + WHEN "p"."lo" = "p"."hi" THEN + MAX(CASE WHEN "o"."rn" = "p"."lo" THEN "o"."measure" END) + ELSE + MAX(CASE WHEN "o"."rn" = "p"."lo" THEN "o"."measure" END) + + ("p"."pos" - "p"."lo") * ( + MAX(CASE WHEN "o"."rn" = "p"."hi" THEN "o"."measure" END) - + MAX(CASE WHEN "o"."rn" = "p"."lo" THEN "o"."measure" END) + ) + END AS "percentile_measure" +FROM "positions" AS "p" +JOIN "ordered" AS "o" + ON "o"."group_col" = "p"."group_col" +GROUP BY "p"."group_col", "p"."n", "p"."pos", "p"."lo", "p"."hi" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_69a17486e46af910.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_69a17486e46af910.sql new file mode 100644 index 0000000000000000000000000000000000000000..9990f625c7b6c3f5783f1f258916608e40aa8220 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_69a17486e46af910.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: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m4_69a17486e46af910 +-- problem_id: v2p_m4_d7959f50dae29074 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", "region", COUNT(*) AS row_count +FROM "m4" +WHERE "smoker" = 'yes' +GROUP BY "smoker", "region" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_69f3a06d368a3e6b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_69f3a06d368a3e6b.sql new file mode 100644 index 0000000000000000000000000000000000000000..2f81656ef9d695b99c8d344a671eaa3ee71b8a89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_69f3a06d368a3e6b.sql @@ -0,0 +1,65 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_69f3a06d368a3e6b +-- problem_id: v2p_m4_46653c2e515d61dc +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "region", + CAST("bmi" AS REAL) AS "bmi_value", + ROW_NUMBER() OVER ( + PARTITION BY "region" + ORDER BY CAST("bmi" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "region" + ) AS "cnt" + FROM "m4" + WHERE "region" IS NOT NULL + AND "bmi" IS NOT NULL +), +"params" AS ( + SELECT DISTINCT + "region", + (1.0 + 0.95 * ("cnt" - 1)) AS "target_pos", + CAST((1.0 + 0.95 * ("cnt" - 1)) AS INT) AS "lower_rn", + CASE + WHEN (1.0 + 0.95 * ("cnt" - 1)) = CAST((1.0 + 0.95 * ("cnt" - 1)) AS INT) + THEN CAST((1.0 + 0.95 * ("cnt" - 1)) AS INT) + ELSE CAST((1.0 + 0.95 * ("cnt" - 1)) AS INT) + 1 + END AS "upper_rn" + FROM "ordered" +), +"bounds" AS ( + SELECT + p."region", + p."target_pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."bmi_value" END) AS "lower_value", + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."bmi_value" END) AS "upper_value" + FROM "params" AS p + JOIN "ordered" AS o + ON o."region" = p."region" + GROUP BY + p."region", + p."target_pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "region", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("target_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/m4/sql/v2q_m4_6cd91329cb03aaf2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_6cd91329cb03aaf2.sql new file mode 100644 index 0000000000000000000000000000000000000000..080c062952fc8876c2e40f8cd9236c4c61d6fed9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_6cd91329cb03aaf2.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: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m4_6cd91329cb03aaf2 +-- problem_id: v2p_m4_48caab7639036ff5 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", + AVG(CASE WHEN "sex" = 'male' THEN 1 ELSE 0 END) AS condition_rate +FROM "m4" +GROUP BY "children" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_6cfb995361e0c4c7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_6cfb995361e0c4c7.sql new file mode 100644 index 0000000000000000000000000000000000000000..b3f4305a3a3f14f8c0e48020beddc4fef6d3af80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_6cfb995361e0c4c7.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: m4 +-- 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_m4_6cfb995361e0c4c7 +-- problem_id: v2p_m4_4b6524f4c7876141 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "children", + AVG(CAST("children" AS REAL)) OVER (PARTITION BY "children") AS avg_measure +FROM "m4" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_6ec76ab4ed3dfbed.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_6ec76ab4ed3dfbed.sql new file mode 100644 index 0000000000000000000000000000000000000000..fe67c4a6f3bef538b8ab538b404d44d3bf653d60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_6ec76ab4ed3dfbed.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: m4 +-- 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_m4_6ec76ab4ed3dfbed +-- problem_id: v2p_m4_9fa6f39230538efc +-- realization_mode: agent +-- source_kind: agent +SELECT "children", COUNT(*) AS row_count +FROM "m4" +GROUP BY "children" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_703b40fd1214fa2e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_703b40fd1214fa2e.sql new file mode 100644 index 0000000000000000000000000000000000000000..15044dc83be76ee7be57820a0a499762ab393a7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_703b40fd1214fa2e.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_703b40fd1214fa2e +-- problem_id: v2p_m4_7d725242358bbc7f +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "sex" AS "group_col", + CAST("age" AS REAL) AS "measure_col", + CUME_DIST() OVER ( + PARTITION BY "sex" + ORDER BY CAST("age" AS REAL) + ) AS "cum_dist" + FROM "m4" + WHERE "sex" IS NOT NULL + AND "age" IS NOT NULL +) +SELECT + "group_col" AS "sex", + MIN("measure_col") AS "percentile_measure" +FROM "ranked" +WHERE "cum_dist" >= 0.95 +GROUP BY "group_col" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_712d9db0092bc950.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_712d9db0092bc950.sql new file mode 100644 index 0000000000000000000000000000000000000000..a0a4429313a7799fc9ddb75c6af7013628c85e91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_712d9db0092bc950.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: m4 +-- 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_m4_712d9db0092bc950 +-- problem_id: v2p_m4_2c7085b37f159235 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "children", + SUM(CASE WHEN "sex" = 'male' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "sex" = 'female' THEN 1 ELSE 0 END) AS denominator_count + FROM "m4" + GROUP BY "children" +) +SELECT "children", + 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/m4/sql/v2q_m4_729cdd5723269d9a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_729cdd5723269d9a.sql new file mode 100644 index 0000000000000000000000000000000000000000..d47789bfc72f714bbb75dab60fd3d2fdc3230de5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_729cdd5723269d9a.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: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m4_729cdd5723269d9a +-- problem_id: v2p_m4_9f339284582c3e38 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", "smoker", COUNT(*) AS row_count +FROM "m4" +WHERE CAST("bmi" AS REAL) >= 34.77 +GROUP BY "children", "smoker" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_7415cb9880b8f215.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_7415cb9880b8f215.sql new file mode 100644 index 0000000000000000000000000000000000000000..d5119cedb81dee1a9da735e8ee54667917418e89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_7415cb9880b8f215.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: m4 +-- 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_m4_7415cb9880b8f215 +-- problem_id: v2p_m4_edf472f5ccf59964 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "age", + SUM(CAST("children" AS REAL)) AS total_measure, + SUM(CAST("children" AS REAL)) * 100.0 / SUM(SUM(CAST("children" AS REAL))) OVER (PARTITION BY "sex") AS share_within_group +FROM "m4" +GROUP BY "sex", "age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_7df7e7b85d7cf803.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_7df7e7b85d7cf803.sql new file mode 100644 index 0000000000000000000000000000000000000000..152de804ef1ad58cae357cae9a925f7b7a8f187f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_7df7e7b85d7cf803.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: m4 +-- 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_m4_7df7e7b85d7cf803 +-- problem_id: v2p_m4_30d616042a8664c6 +-- realization_mode: agent +-- source_kind: agent +SELECT + "region", + "bmi", + SUM(CAST("age" AS REAL)) AS total_measure, + SUM(CAST("age" AS REAL)) * 100.0 / SUM(SUM(CAST("age" AS REAL))) OVER (PARTITION BY "region") AS share_within_group +FROM "m4" +GROUP BY "region", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_7eeab0e04a8bcb0d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_7eeab0e04a8bcb0d.sql new file mode 100644 index 0000000000000000000000000000000000000000..d353286e25afb3738dfafa64c3a128129c5e96c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_7eeab0e04a8bcb0d.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: m4 +-- 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_m4_7eeab0e04a8bcb0d +-- problem_id: v2p_m4_a50e4d2d4402252c +-- realization_mode: agent +-- source_kind: agent +SELECT + "children", + CAST("children" AS REAL) AS percentile_measure +FROM "m4" +GROUP BY "children" +ORDER BY percentile_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_823141da7e8faa47.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_823141da7e8faa47.sql new file mode 100644 index 0000000000000000000000000000000000000000..06bb997ce138c2a09d0afe68eddd55a0351f60cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_823141da7e8faa47.sql @@ -0,0 +1,64 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_823141da7e8faa47 +-- problem_id: v2p_m4_f124336c58985c65 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "smoker", + CAST("age" AS REAL) AS "age_value", + ROW_NUMBER() OVER ( + PARTITION BY "smoker" + ORDER BY CAST("age" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "smoker" + ) AS "cnt" + FROM "m4" + WHERE "smoker" IS NOT NULL + AND "age" IS NOT NULL +), +"positions" AS ( + SELECT DISTINCT + "smoker", + (1.0 + ("cnt" - 1) * 0.9) AS "pos", + CAST(1.0 + ("cnt" - 1) * 0.9 AS INTEGER) AS "lower_rn", + CAST(1.0 + ("cnt" - 1) * 0.9 AS INTEGER) + CASE + WHEN (1.0 + ("cnt" - 1) * 0.9) > CAST(1.0 + ("cnt" - 1) * 0.9 AS INTEGER) THEN 1 + ELSE 0 + END AS "upper_rn" + FROM "ordered" +), +"bounds" AS ( + SELECT + p."smoker", + p."pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."age_value" END) AS "lower_value", + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."age_value" END) AS "upper_value" + FROM "positions" AS p + JOIN "ordered" AS o + ON o."smoker" = p."smoker" + GROUP BY + p."smoker", + p."pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "smoker", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("pos" - "lower_rn") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_8271c3f06f71538f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_8271c3f06f71538f.sql new file mode 100644 index 0000000000000000000000000000000000000000..0bef8f254173868a147b0876fa757780777121bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_8271c3f06f71538f.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: m4 +-- 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_m4_8271c3f06f71538f +-- problem_id: v2p_m4_40921120e3061d34 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", "charges", + SUM(CAST("bmi" AS REAL)) AS total_measure, + SUM(CAST("bmi" AS REAL)) * 100.0 / SUM(SUM(CAST("bmi" AS REAL))) OVER (PARTITION BY "children") AS share_within_group +FROM "m4" +GROUP BY "children", "charges" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_8389d906f1a5172f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_8389d906f1a5172f.sql new file mode 100644 index 0000000000000000000000000000000000000000..c337a0e8cb6d325b674f0aa3f47ae748100c90b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_8389d906f1a5172f.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: m4 +-- 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_m4_8389d906f1a5172f +-- problem_id: v2p_m4_868c3df42fa8ea39 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", SUM(CAST("age" AS REAL)) AS "total_measure" +FROM "m4" +GROUP BY "sex" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_840a699ddaf30de8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_840a699ddaf30de8.sql new file mode 100644 index 0000000000000000000000000000000000000000..172cd833df14a8788e30938ca7d7079edf458d4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_840a699ddaf30de8.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: m4 +-- 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_m4_840a699ddaf30de8 +-- problem_id: v2p_m4_5546b00ff91329cf +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("children" AS REAL) <= 2.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m4"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_8423d8d29605e103.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_8423d8d29605e103.sql new file mode 100644 index 0000000000000000000000000000000000000000..43a00e57748b68dd598d73a226fa44159bbcd279 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_8423d8d29605e103.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: m4 +-- 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_m4_8423d8d29605e103 +-- problem_id: v2p_m4_11ff62ea6fa705e4 +-- realization_mode: agent +-- source_kind: agent +SELECT + "children", + MAX(CAST("children" AS REAL)) AS "percentile_measure" +FROM "m4" +WHERE "children" IS NOT NULL +GROUP BY "children" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_856ad6048f46bcbb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_856ad6048f46bcbb.sql new file mode 100644 index 0000000000000000000000000000000000000000..4d2cb92a0038c924527b3d345ab3bb492f2c70e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_856ad6048f46bcbb.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: m4 +-- 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_m4_856ad6048f46bcbb +-- problem_id: v2p_m4_e572e9f65bb208f2 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "sex", + CAST("age" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "sex" + ORDER BY CAST("age" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "sex" + ) AS "cnt" + FROM "m4" + WHERE "sex" IS NOT NULL + AND TRIM("sex") <> '' + AND "age" IS NOT NULL + AND TRIM("age") <> '' +), +"positions" AS ( + SELECT DISTINCT + "sex", + (1.0 + (0.9 * ("cnt" - 1))) AS "pos", + CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) AS "lo_rn", + CASE + WHEN (1.0 + (0.9 * ("cnt" - 1))) = CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) + THEN CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) + ELSE CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) + 1 + END AS "hi_rn" + FROM "ordered" +), +"bounds" AS ( + SELECT + p."sex", + p."pos", + p."lo_rn", + p."hi_rn", + lo."measure_value" AS "lo_value", + hi."measure_value" AS "hi_value" + FROM "positions" AS p + JOIN "ordered" AS lo + ON lo."sex" = p."sex" + AND lo."rn" = p."lo_rn" + JOIN "ordered" AS hi + ON hi."sex" = p."sex" + AND hi."rn" = p."hi_rn" +) +SELECT + "sex", + CASE + WHEN "lo_rn" = "hi_rn" THEN "lo_value" + ELSE "lo_value" + (("pos" - "lo_rn") * ("hi_value" - "lo_value")) + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_85948952a1ad04a1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_85948952a1ad04a1.sql new file mode 100644 index 0000000000000000000000000000000000000000..db9d0bbf0ff59e759f5f78209269da3272e10fcc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_85948952a1ad04a1.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: m4 +-- 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_m4_85948952a1ad04a1 +-- problem_id: v2p_m4_1f80490f79a03b95 +-- realization_mode: agent +-- source_kind: agent +SELECT + "smoker", + COUNT(*) AS support +FROM "m4" +GROUP BY "smoker" +ORDER BY support ASC, "smoker" +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_87241b76085877ca.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_87241b76085877ca.sql new file mode 100644 index 0000000000000000000000000000000000000000..c38b9eebfe8ead99bf5515bf1fffdf8fe7d9cf32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_87241b76085877ca.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: m4 +-- 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_m4_87241b76085877ca +-- problem_id: v2p_m4_b758f9d57f3d37e0 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "bmi", + COUNT(*) AS support, + AVG("age") AS avg_response +FROM "m4" +GROUP BY "bmi" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_8848815575227678.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_8848815575227678.sql new file mode 100644 index 0000000000000000000000000000000000000000..4e590ee512e97fca736e161fc916b48e10109da4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_8848815575227678.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: m4 +-- 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_m4_8848815575227678 +-- problem_id: v2p_m4_76eb27e52dad9f7a +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "children", + NTILE(10) OVER (ORDER BY CAST("children" AS INTEGER) DESC) AS tail_bucket + FROM "m4" +) +SELECT "children" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("children" AS INTEGER) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_898a7c59c2698148.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_898a7c59c2698148.sql new file mode 100644 index 0000000000000000000000000000000000000000..2afdb05fdbca4e37b35a37ddc95bc05de62a2311 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_898a7c59c2698148.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: m4 +-- 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_m4_898a7c59c2698148 +-- problem_id: v2p_m4_6192d3b0a176e08f +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "sex", SUM(CAST("age" AS REAL)) AS group_value + FROM "m4" + GROUP BY "sex" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."sex", 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/m4/sql/v2q_m4_8f546c7b03b4a889.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_8f546c7b03b4a889.sql new file mode 100644 index 0000000000000000000000000000000000000000..75ef6d1789ec8deda4a1d43bb316f0b3a4029a4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_8f546c7b03b4a889.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: m4 +-- 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_m4_8f546c7b03b4a889 +-- problem_id: v2p_m4_07b4855fb40925e9 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "smoker", SUM(CAST("age" AS REAL)) AS group_value + FROM "m4" + GROUP BY "smoker" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."smoker", 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/m4/sql/v2q_m4_900883c1613cc6a8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_900883c1613cc6a8.sql new file mode 100644 index 0000000000000000000000000000000000000000..019a7467caa3d9fe7d588130e4712539bb487ae9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_900883c1613cc6a8.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: m4 +-- 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_m4_900883c1613cc6a8 +-- problem_id: v2p_m4_76f5932ed66950ba +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "region", SUM(CAST("bmi" AS REAL)) AS group_value + FROM "m4" + GROUP BY "region" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."region", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_95b4de97f9c76c88.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_95b4de97f9c76c88.sql new file mode 100644 index 0000000000000000000000000000000000000000..2c536db788e0be9c86d0c6f39acbccdc84d750ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_95b4de97f9c76c88.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: m4 +-- 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_m4_95b4de97f9c76c88 +-- problem_id: v2p_m4_3916a0869119e812 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "children", + NTILE(10) OVER (ORDER BY CAST("children" AS INTEGER) DESC) AS tail_bucket + FROM "m4" +) +SELECT "children" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("children" AS INTEGER) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_979ec3a8f13aaf94.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_979ec3a8f13aaf94.sql new file mode 100644 index 0000000000000000000000000000000000000000..ed1535a0f144f0db0c850ad8afe201ab744ab0ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_979ec3a8f13aaf94.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: m4 +-- 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_m4_979ec3a8f13aaf94 +-- problem_id: v2p_m4_cf47602a0c9947c5 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "region", SUM(CAST("age" AS REAL)) AS "group_value" + FROM "m4" + GROUP BY "region" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."region", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.1 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_98050910f47e12b8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_98050910f47e12b8.sql new file mode 100644 index 0000000000000000000000000000000000000000..9616c31f654a0259fe804c80617dbbca75f623f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_98050910f47e12b8.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: m4 +-- 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_m4_98050910f47e12b8 +-- problem_id: v2p_m4_2991d0b3319a2db8 +-- realization_mode: agent +-- source_kind: agent +SELECT + "children", + COUNT(*) AS support +FROM "m4" +GROUP BY "children" +ORDER BY support ASC, "children" +LIMIT 15; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_98ccb0e6b2ff9872.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_98ccb0e6b2ff9872.sql new file mode 100644 index 0000000000000000000000000000000000000000..6e00b6348cef61c031f0c464b107fa7c303b234b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_98ccb0e6b2ff9872.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: m4 +-- 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_m4_98ccb0e6b2ff9872 +-- problem_id: v2p_m4_dbe80a13c71fc21d +-- realization_mode: agent +-- source_kind: agent +SELECT "children", "age", + SUM(CAST("children" AS REAL)) AS total_measure, + SUM(CAST("children" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("children" AS REAL))) OVER (PARTITION BY "children"), 0) AS share_within_group +FROM "m4" +GROUP BY "children", "age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_992096e310ec377c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_992096e310ec377c.sql new file mode 100644 index 0000000000000000000000000000000000000000..2675e8a1da83d2ad66707db00478b9e4f5d8bf48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_992096e310ec377c.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: m4 +-- 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_m4_992096e310ec377c +-- problem_id: v2p_m4_c121a9a23617dcd7 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "children", + AVG(CAST("bmi" AS REAL)) OVER (PARTITION BY "children") AS avg_measure +FROM "m4" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_9a4dfc6cf180cbd7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_9a4dfc6cf180cbd7.sql new file mode 100644 index 0000000000000000000000000000000000000000..917af33512944f598e43b4a998f5ca03a6b7cfcd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_9a4dfc6cf180cbd7.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: m4 +-- 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_m4_9a4dfc6cf180cbd7 +-- problem_id: v2p_m4_1f4b35a4c04d08c1 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", "bmi", + SUM(CAST("age" AS REAL)) AS "total_measure", + SUM(CAST("age" AS REAL)) * 100.0 / SUM(SUM(CAST("age" AS REAL))) OVER (PARTITION BY "smoker") AS "share_within_group" +FROM "m4" +GROUP BY "smoker", "bmi" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_9b746124cfb57df1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_9b746124cfb57df1.sql new file mode 100644 index 0000000000000000000000000000000000000000..ee8c3fc7d12467c7b8fd0f0ab0a6bc03101329a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_9b746124cfb57df1.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: m4 +-- 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_m4_9b746124cfb57df1 +-- problem_id: v2p_m4_bad7e4830e267dbf +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", + AVG(CASE WHEN "charges" = '10602.385' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m4" +GROUP BY "sex" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_9ff51f872c6a5aff.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_9ff51f872c6a5aff.sql new file mode 100644 index 0000000000000000000000000000000000000000..dca191b63c4483549c23820638d9b2a9c25303bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_9ff51f872c6a5aff.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: m4 +-- 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_m4_9ff51f872c6a5aff +-- problem_id: v2p_m4_761155eecb6875e5 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", + AVG(CASE WHEN "children" = '1' THEN 1 ELSE 0 END) AS condition_rate +FROM "m4" +GROUP BY "smoker" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_a030230844480125.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_a030230844480125.sql new file mode 100644 index 0000000000000000000000000000000000000000..fe0a6955afccd718c0b409e8c0f3cc49f7105860 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_a030230844480125.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: m4 +-- 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_m4_a030230844480125 +-- problem_id: v2p_m4_799d7b32d9a15742 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "smoker", + AVG(CAST("children" AS REAL)) OVER (PARTITION BY "smoker") AS avg_measure +FROM "m4" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_a1cd9a8244cd40f6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_a1cd9a8244cd40f6.sql new file mode 100644 index 0000000000000000000000000000000000000000..fdba9b15aeb3ab650f4f968c99833c9e241b85d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_a1cd9a8244cd40f6.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: m4 +-- 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_m4_a1cd9a8244cd40f6 +-- problem_id: v2p_m4_5031783499f09faa +-- realization_mode: agent +-- source_kind: agent +SELECT "region", COUNT(*) AS "row_count" +FROM "m4" +GROUP BY "region" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_a7622e4aaf887ab4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_a7622e4aaf887ab4.sql new file mode 100644 index 0000000000000000000000000000000000000000..70df4feb14b464575221730e3dfa68e4e32ee74f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_a7622e4aaf887ab4.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: m4 +-- 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_m4_a7622e4aaf887ab4 +-- problem_id: v2p_m4_ea9303f5c95fa68e +-- realization_mode: agent +-- source_kind: agent +SELECT + "children", + COUNT(*) AS support +FROM "m4" +GROUP BY "children" +ORDER BY support ASC, "children" +LIMIT 10; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_aa2b074f3c55898d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_aa2b074f3c55898d.sql new file mode 100644 index 0000000000000000000000000000000000000000..ba2658b3ffdbcd1fb3e38411dbabbb7e1bcd658a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_aa2b074f3c55898d.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: m4 +-- 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_m4_aa2b074f3c55898d +-- problem_id: v2p_m4_3736628ed377bf17 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", COUNT(*) AS row_count +FROM "m4" +GROUP BY "smoker" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_aa35544800b90b37.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_aa35544800b90b37.sql new file mode 100644 index 0000000000000000000000000000000000000000..d85e87cff5cd8421ebfea41ad06f560f9e618b30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_aa35544800b90b37.sql @@ -0,0 +1,67 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_aa35544800b90b37 +-- problem_id: v2p_m4_e3bc2a8656a627ec +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "region", + CAST("age" AS REAL) AS "age_value" + FROM "m4" + WHERE "region" IS NOT NULL + AND "age" IS NOT NULL +), +"counts" AS ( + SELECT + "region", + COUNT(*) AS "cnt" + FROM "base" + GROUP BY "region" + HAVING COUNT(*) >= 5 +), +"ordered" AS ( + SELECT + b."region", + b."age_value", + ROW_NUMBER() OVER ( + PARTITION BY b."region" + ORDER BY b."age_value" + ) AS "rn" + FROM "base" AS b + JOIN "counts" AS c + ON b."region" = c."region" +), +"positions" AS ( + SELECT + "region", + (1.0 + (("cnt" - 1) * 0.9)) AS "pos", + CAST((1.0 + (("cnt" - 1) * 0.9)) AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + (("cnt" - 1) * 0.9)) = CAST((1.0 + (("cnt" - 1) * 0.9)) AS INTEGER) + THEN CAST((1.0 + (("cnt" - 1) * 0.9)) AS INTEGER) + ELSE CAST((1.0 + (("cnt" - 1) * 0.9)) AS INTEGER) + 1 + END AS "upper_rn" + FROM "counts" +) +SELECT + p."region", + CASE + WHEN p."lower_rn" = p."upper_rn" THEN l."age_value" + ELSE l."age_value" + (p."pos" - p."lower_rn") * (u."age_value" - l."age_value") + END AS "percentile_measure" +FROM "positions" AS p +JOIN "ordered" AS l + ON l."region" = p."region" + AND l."rn" = p."lower_rn" +JOIN "ordered" AS u + ON u."region" = p."region" + AND u."rn" = p."upper_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_abdcdb36ee884dce.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_abdcdb36ee884dce.sql new file mode 100644 index 0000000000000000000000000000000000000000..a5721daec7721d8444dab3da503059d419aa5303 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_abdcdb36ee884dce.sql @@ -0,0 +1,71 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_abdcdb36ee884dce +-- problem_id: v2p_m4_af355b8112529b23 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "smoker", + CAST("age" AS REAL) AS "age_value", + ROW_NUMBER() OVER ( + PARTITION BY "smoker" + ORDER BY CAST("age" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "smoker" + ) AS "cnt" + FROM "m4" + WHERE "smoker" IS NOT NULL + AND TRIM("smoker") <> '' + AND "age" IS NOT NULL + AND TRIM("age") <> '' +), +"group_positions" AS ( + SELECT DISTINCT + "smoker", + "cnt", + (1.0 + 0.95 * ("cnt" - 1)) AS "pos", + CAST((1.0 + 0.95 * ("cnt" - 1)) AS INTEGER) AS "lower_rn", + CAST((1.0 + 0.95 * ("cnt" - 1)) AS INTEGER) + + CASE + WHEN ABS( + (1.0 + 0.95 * ("cnt" - 1)) + - CAST((1.0 + 0.95 * ("cnt" - 1)) AS INTEGER) + ) < 1e-12 THEN 0 + ELSE 1 + END AS "upper_rn" + FROM "ordered" +), +"bounds" AS ( + SELECT + "o"."smoker", + "p"."pos", + "p"."lower_rn", + "p"."upper_rn", + MAX(CASE WHEN "o"."rn" = "p"."lower_rn" THEN "o"."age_value" END) AS "lower_value", + MAX(CASE WHEN "o"."rn" = "p"."upper_rn" THEN "o"."age_value" END) AS "upper_value" + FROM "ordered" AS "o" + JOIN "group_positions" AS "p" + ON "o"."smoker" = "p"."smoker" + GROUP BY + "o"."smoker", + "p"."pos", + "p"."lower_rn", + "p"."upper_rn" +) +SELECT + "smoker", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("pos" - "lower_rn") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ac85b8dbd568315b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ac85b8dbd568315b.sql new file mode 100644 index 0000000000000000000000000000000000000000..4add3897dc6f2e280b4ddaabe8226fff64dedf9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ac85b8dbd568315b.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: m4 +-- 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_m4_ac85b8dbd568315b +-- problem_id: v2p_m4_4b9db6a86182c981 +-- realization_mode: agent +-- source_kind: agent +SELECT + "sex", + COUNT(*) AS "support" +FROM "m4" +GROUP BY "sex" +ORDER BY "support" ASC, "sex" +LIMIT 10; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ac8ed5080e0dfd99.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ac8ed5080e0dfd99.sql new file mode 100644 index 0000000000000000000000000000000000000000..be195e5c3a3c1baf7e445c1c563c704c75214b9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ac8ed5080e0dfd99.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: m4 +-- 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_m4_ac8ed5080e0dfd99 +-- problem_id: v2p_m4_577dbd334dc6c9ae +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "sex", SUM(CAST("bmi" AS REAL)) AS group_value + FROM "m4" + GROUP BY "sex" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."sex", 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/m4/sql/v2q_m4_add99e97e120d9e6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_add99e97e120d9e6.sql new file mode 100644 index 0000000000000000000000000000000000000000..cf0eae3fdb2c158108c464241063a38b9f657ff6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_add99e97e120d9e6.sql @@ -0,0 +1,60 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_add99e97e120d9e6 +-- problem_id: v2p_m4_e5fb0160c74025cf +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "smoker", + CAST("children" AS REAL) AS "measure", + ROW_NUMBER() OVER ( + PARTITION BY "smoker" + ORDER BY CAST("children" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "smoker") AS "n" + FROM "m4" + WHERE "smoker" IS NOT NULL + AND "children" IS NOT NULL +), +"positions" AS ( + SELECT + "smoker", + "measure", + "rn", + "n", + (1.0 + 0.9 * ("n" - 1)) AS "pos", + CAST(1.0 + 0.9 * ("n" - 1) AS INTEGER) AS "lo", + CASE + WHEN (1.0 + 0.9 * ("n" - 1)) = CAST(1.0 + 0.9 * ("n" - 1) AS INTEGER) + THEN CAST(1.0 + 0.9 * ("n" - 1) AS INTEGER) + ELSE CAST(1.0 + 0.9 * ("n" - 1) AS INTEGER) + 1 + END AS "hi" + FROM "ordered" +), +"picked" AS ( + SELECT + "smoker", + MAX(CASE WHEN "rn" = "lo" THEN "measure" END) AS "lo_val", + MAX(CASE WHEN "rn" = "hi" THEN "measure" END) AS "hi_val", + MAX("pos") AS "pos", + MAX("lo") AS "lo", + MAX("hi") AS "hi" + FROM "positions" + GROUP BY "smoker" +) +SELECT + "smoker", + CASE + WHEN "lo" = "hi" THEN "lo_val" + ELSE "lo_val" + ("pos" - "lo") * ("hi_val" - "lo_val") + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_b445fb4bf2c2f97a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_b445fb4bf2c2f97a.sql new file mode 100644 index 0000000000000000000000000000000000000000..77a875d4066059baf58f9adad3151f9e8633d98d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_b445fb4bf2c2f97a.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: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m4_b445fb4bf2c2f97a +-- problem_id: v2p_m4_534f5fb7a67dd3a0 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "sex" AS value_label, COUNT(*) AS support + FROM "m4" + GROUP BY "sex" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_b751ff8724425a09.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_b751ff8724425a09.sql new file mode 100644 index 0000000000000000000000000000000000000000..9903f6687f2c5c2a737db00d8e1f4a0a2060bf56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_b751ff8724425a09.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: m4 +-- 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_m4_b751ff8724425a09 +-- problem_id: v2p_m4_ae431164d1496dd5 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", SUM(CAST("bmi" AS REAL)) AS "total_measure" +FROM "m4" +GROUP BY "sex" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_b813352b88e44e15.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_b813352b88e44e15.sql new file mode 100644 index 0000000000000000000000000000000000000000..8aa3ee2f5267031b0db16fec09b0342f6b8dae51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_b813352b88e44e15.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: m4 +-- 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_m4_b813352b88e44e15 +-- problem_id: v2p_m4_d1613171c0d142ad +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "smoker", + SUM(CASE WHEN "children" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "children" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "m4" + GROUP BY "smoker" +) +SELECT "smoker", + 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/m4/sql/v2q_m4_b8639bbab485889c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_b8639bbab485889c.sql new file mode 100644 index 0000000000000000000000000000000000000000..09f616f21193d509e558ba79b77c81ba39513ec8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_b8639bbab485889c.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: m4 +-- 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_m4_b8639bbab485889c +-- problem_id: v2p_m4_601db47f77579b68 +-- realization_mode: agent +-- source_kind: agent +SELECT "region", SUM(CAST("age" AS REAL)) AS total_measure +FROM "m4" +GROUP BY "region" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_b9ffc0f41015c019.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_b9ffc0f41015c019.sql new file mode 100644 index 0000000000000000000000000000000000000000..278dc85ba69325c7aef20f14b7ba9331ec593785 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_b9ffc0f41015c019.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: m4 +-- 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_m4_b9ffc0f41015c019 +-- problem_id: v2p_m4_61c857649a517ff6 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "charges", + COUNT(*) AS support, + AVG("bmi") AS avg_response +FROM "m4" +GROUP BY "charges" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ba27ec27b8138a5b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ba27ec27b8138a5b.sql new file mode 100644 index 0000000000000000000000000000000000000000..c20072aba040f014f325c08c5c25717eacf09cae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ba27ec27b8138a5b.sql @@ -0,0 +1,60 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_ba27ec27b8138a5b +-- problem_id: v2p_m4_470cc775ed6ba3f0 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + CAST("children" AS INTEGER) AS "children", + CAST("bmi" AS REAL) AS "bmi_num" + FROM "m4" + WHERE "children" IS NOT NULL + AND TRIM("children") <> '' + AND "bmi" IS NOT NULL + AND TRIM("bmi") <> '' +), +"ordered" AS ( + SELECT + "children", + "bmi_num", + ROW_NUMBER() OVER (PARTITION BY "children" ORDER BY "bmi_num") AS "row_num", + COUNT(*) OVER (PARTITION BY "children") AS "n" + FROM "base" +), +"params" AS ( + SELECT + "children", + MAX("n") AS "n", + (9 * MAX("n") + 1) AS "target_num", + CAST((9 * MAX("n") + 1) / 10 AS INTEGER) AS "lower_rank", + CASE + WHEN ((9 * MAX("n") + 1) % 10) = 0 THEN CAST((9 * MAX("n") + 1) / 10 AS INTEGER) + ELSE CAST((9 * MAX("n") + 1) / 10 AS INTEGER) + 1 + END AS "upper_rank", + ((9 * MAX("n") + 1) % 10) / 10.0 AS "upper_weight" + FROM "ordered" + GROUP BY "children" +) +SELECT + o."children", + CASE + WHEN p."lower_rank" = p."upper_rank" THEN + MAX(CASE WHEN o."row_num" = p."lower_rank" THEN o."bmi_num" END) + ELSE + (1.0 - p."upper_weight") * MAX(CASE WHEN o."row_num" = p."lower_rank" THEN o."bmi_num" END) + + p."upper_weight" * MAX(CASE WHEN o."row_num" = p."upper_rank" THEN o."bmi_num" END) + END AS "percentile_measure" +FROM "ordered" AS o +JOIN "params" AS p + ON o."children" = p."children" +GROUP BY o."children" +HAVING MAX(p."n") >= 5 +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ba8cf27b7ff5bd5f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ba8cf27b7ff5bd5f.sql new file mode 100644 index 0000000000000000000000000000000000000000..7343679165ab863300988e55d09428aa11f14b8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ba8cf27b7ff5bd5f.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: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m4_ba8cf27b7ff5bd5f +-- problem_id: v2p_m4_8392187836758640 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", "region", COUNT(*) AS "row_count" +FROM "m4" +WHERE CAST("children" AS REAL) >= 2.0 +GROUP BY "children", "region" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_bacb0d07eba3b290.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_bacb0d07eba3b290.sql new file mode 100644 index 0000000000000000000000000000000000000000..0eb865edfffc667d188700cafc380056bfc99cc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_bacb0d07eba3b290.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: m4 +-- 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_m4_bacb0d07eba3b290 +-- problem_id: v2p_m4_43652859ff204b77 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", SUM(CAST("children" AS NUMERIC)) AS "total_measure" +FROM "m4" +GROUP BY "children" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_bb0257e4a0949e07.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_bb0257e4a0949e07.sql new file mode 100644 index 0000000000000000000000000000000000000000..20a9be30f2053cb8c2138191bce3603984cfbf2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_bb0257e4a0949e07.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: m4 +-- 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_m4_bb0257e4a0949e07 +-- problem_id: v2p_m4_74d1c723d8be620d +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", SUM(CAST("age" AS REAL)) AS total_measure +FROM "m4" +GROUP BY "smoker" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_bb820dc234c8f0ea.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_bb820dc234c8f0ea.sql new file mode 100644 index 0000000000000000000000000000000000000000..0bd79ade5bbb2458b4c7bb3fa1efd1114cdb4a41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_bb820dc234c8f0ea.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: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m4_bb820dc234c8f0ea +-- problem_id: v2p_m4_553ee6207aac91e2 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "children", COUNT(*) AS "row_count" +FROM "m4" +WHERE CAST("charges" AS REAL) >= 16577.7795 +GROUP BY "sex", "children" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_bbef42b991f2119f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_bbef42b991f2119f.sql new file mode 100644 index 0000000000000000000000000000000000000000..98fb09267a7c60b1fb33e8a9acd3b12723a1eac6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_bbef42b991f2119f.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_bbef42b991f2119f +-- problem_id: v2p_m4_c609c1705a417cd7 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "region", + CAST("age" AS REAL) AS "age_value", + CUME_DIST() OVER ( + PARTITION BY "region" + ORDER BY CAST("age" AS REAL) + ) AS "cume_dist" + FROM "m4" + WHERE "region" IS NOT NULL + AND "age" IS NOT NULL +) +SELECT + "region", + MIN("age_value") AS "percentile_measure" +FROM "ranked" +WHERE "cume_dist" >= 0.95 +GROUP BY "region" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_be18f4e3fa009900.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_be18f4e3fa009900.sql new file mode 100644 index 0000000000000000000000000000000000000000..aa897d6a868c9e6cf62bcb8607ba9e51c0cac46d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_be18f4e3fa009900.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: m4 +-- 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_m4_be18f4e3fa009900 +-- problem_id: v2p_m4_58d581b66c6dc580 +-- realization_mode: agent +-- source_kind: agent +SELECT + "region", + "charges", + SUM(CAST("bmi" AS REAL)) AS "total_measure", + SUM(CAST("bmi" AS REAL)) * 100.0 / SUM(SUM(CAST("bmi" AS REAL))) OVER (PARTITION BY "region") AS "share_within_group" +FROM "m4" +GROUP BY "region", "charges" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_be9658ffd6046ede.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_be9658ffd6046ede.sql new file mode 100644 index 0000000000000000000000000000000000000000..9a026cc81a1a76b35b7ca8fce7069e7a0b7c3c14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_be9658ffd6046ede.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: m4 +-- 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_m4_be9658ffd6046ede +-- problem_id: v2p_m4_25730095c5571562 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "sex", SUM(CAST("age" AS REAL)) AS group_value + FROM "m4" + GROUP BY "sex" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."sex", 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/m4/sql/v2q_m4_bfe3b0ab68a80b7a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_bfe3b0ab68a80b7a.sql new file mode 100644 index 0000000000000000000000000000000000000000..9eb738da879f9a0ad26ee212deb7e6494ca1619c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_bfe3b0ab68a80b7a.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: m4 +-- 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_m4_bfe3b0ab68a80b7a +-- problem_id: v2p_m4_9d398e4a5d98918b +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "sex", + SUM(CASE WHEN "sex" = 'male' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "sex" = 'female' THEN 1 ELSE 0 END) AS denominator_count + FROM "m4" + GROUP BY "sex" +) +SELECT "sex", + 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/m4/sql/v2q_m4_c05871bbd73d4ff8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_c05871bbd73d4ff8.sql new file mode 100644 index 0000000000000000000000000000000000000000..98dd0cf21cf465b2e90e8009a06ae9ceebafbe32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_c05871bbd73d4ff8.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: m4 +-- 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_m4_c05871bbd73d4ff8 +-- problem_id: v2p_m4_4829ed9ea3c6e8c9 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", COUNT(*) AS "row_count" +FROM "m4" +GROUP BY "children" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_c07dfc5e2c2017b8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_c07dfc5e2c2017b8.sql new file mode 100644 index 0000000000000000000000000000000000000000..34d08b5a094a3ee38a6ef4f78c35761fbb386429 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_c07dfc5e2c2017b8.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: m4 +-- 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_m4_c07dfc5e2c2017b8 +-- problem_id: v2p_m4_39afe1fbf5a93a7f +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "age", + COUNT(*) AS support, + AVG("bmi") AS avg_response +FROM "m4" +GROUP BY "age" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_c53a9eff0517989a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_c53a9eff0517989a.sql new file mode 100644 index 0000000000000000000000000000000000000000..fc50d1c5f1e0f1964877465efacf8c96a016317f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_c53a9eff0517989a.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: m4 +-- 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_m4_c53a9eff0517989a +-- problem_id: v2p_m4_a2e4e28db1af967e +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", + AVG(CASE WHEN "sex" = 'male' THEN 1 ELSE 0 END) AS condition_rate +FROM "m4" +GROUP BY "sex" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_c764f55d0078a3fa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_c764f55d0078a3fa.sql new file mode 100644 index 0000000000000000000000000000000000000000..a8fffcceb79f8c0e7f1d78ceaece4d183cddb48a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_c764f55d0078a3fa.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: m4 +-- 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_m4_c764f55d0078a3fa +-- problem_id: v2p_m4_cbcd8371bfe33d1c +-- realization_mode: agent +-- source_kind: agent +SELECT "children", SUM(CAST("bmi" AS REAL)) AS total_measure +FROM "m4" +GROUP BY "children" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_cc0d7471f6769115.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_cc0d7471f6769115.sql new file mode 100644 index 0000000000000000000000000000000000000000..9a3c338e6197bf868bf6bc9de28a82d87a5e4319 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_cc0d7471f6769115.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: m4 +-- 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_m4_cc0d7471f6769115 +-- problem_id: v2p_m4_d7e5bd46e04f09ed +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", COUNT(*) AS row_count +FROM "m4" +GROUP BY "sex" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_cd245e384efc2a5c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_cd245e384efc2a5c.sql new file mode 100644 index 0000000000000000000000000000000000000000..0048495e96fd1835e4a45c274e7638f8038300b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_cd245e384efc2a5c.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: m4 +-- 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_m4_cd245e384efc2a5c +-- problem_id: v2p_m4_b9de23b389bc6aff +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "bmi", + COUNT(*) AS support, + AVG("children") AS avg_response +FROM "m4" +GROUP BY "bmi" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_cf31a2a0a6115e97.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_cf31a2a0a6115e97.sql new file mode 100644 index 0000000000000000000000000000000000000000..c86542fe164cfc8fa439c5de2b4a707bb5688062 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_cf31a2a0a6115e97.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: m4 +-- 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_m4_cf31a2a0a6115e97 +-- problem_id: v2p_m4_657465c1662bc71b +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", "age", + SUM(CAST("children" AS REAL)) AS total_measure, + SUM(CAST("children" AS REAL)) * 100.0 / SUM(SUM(CAST("children" AS REAL))) OVER (PARTITION BY "smoker") AS share_within_group +FROM "m4" +GROUP BY "smoker", "age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d147b8d3bb202fa8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d147b8d3bb202fa8.sql new file mode 100644 index 0000000000000000000000000000000000000000..788269ed92bf939ef979c3d2227d864213908c39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d147b8d3bb202fa8.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: m4 +-- 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_m4_d147b8d3bb202fa8 +-- problem_id: v2p_m4_0c8ab7fdabbda70e +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "smoker", + AVG(CAST("children" AS REAL)) OVER (PARTITION BY "smoker") AS avg_measure +FROM "m4" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d432d087fbbe9702.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d432d087fbbe9702.sql new file mode 100644 index 0000000000000000000000000000000000000000..0cf5288f021c6a260609c5e6284903f205db0880 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d432d087fbbe9702.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: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m4_d432d087fbbe9702 +-- problem_id: v2p_m4_67039e10ae7f8169 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "children" AS value_label, COUNT(*) AS support + FROM "m4" + GROUP BY "children" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d516e47ce92cd229.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d516e47ce92cd229.sql new file mode 100644 index 0000000000000000000000000000000000000000..ec081fd074955a2a82ac74ae992b452a92ca0448 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d516e47ce92cd229.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: m4 +-- 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_m4_d516e47ce92cd229 +-- problem_id: v2p_m4_5070df6df8ccddd4 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "charges", + SUM(CAST("bmi" AS REAL)) AS total_measure, + SUM(CAST("bmi" AS REAL)) * 100.0 / SUM(SUM(CAST("bmi" AS REAL))) OVER (PARTITION BY "sex") AS share_within_group +FROM "m4" +GROUP BY "sex", "charges" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d57719a7d9c408e4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d57719a7d9c408e4.sql new file mode 100644 index 0000000000000000000000000000000000000000..057ca5c98930d0513b1957db289dc1f28f867de6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d57719a7d9c408e4.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: m4 +-- 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_m4_d57719a7d9c408e4 +-- problem_id: v2p_m4_34ab529ecd78d2c3 +-- realization_mode: agent +-- source_kind: agent +SELECT "region", "charges", + SUM(CAST("bmi" AS REAL)) AS total_measure, + SUM(CAST("bmi" AS REAL)) * 100.0 / SUM(SUM(CAST("bmi" AS REAL))) OVER (PARTITION BY "region") AS share_within_group +FROM "m4" +WHERE "bmi" IS NOT NULL AND TRIM("bmi") <> '' +GROUP BY "region", "charges" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d66b6125206dd901.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d66b6125206dd901.sql new file mode 100644 index 0000000000000000000000000000000000000000..618f16d1f4510d2fedf5a26d55ff95b63cad6fc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d66b6125206dd901.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: m4 +-- 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_m4_d66b6125206dd901 +-- problem_id: v2p_m4_f63f52267df980e3 +-- realization_mode: agent +-- source_kind: agent +SELECT + "smoker", + COUNT(*) AS "support" +FROM "m4" +GROUP BY "smoker" +ORDER BY "support" ASC, "smoker" +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d6820b216f8ce106.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d6820b216f8ce106.sql new file mode 100644 index 0000000000000000000000000000000000000000..ca659e5f22a4bbca444d684e4d66f8d942fc179f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d6820b216f8ce106.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: m4 +-- 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_m4_d6820b216f8ce106 +-- problem_id: v2p_m4_e84392485cfd9613 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "children", SUM(CAST("children" AS REAL)) AS group_value + FROM "m4" + GROUP BY "children" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."children", 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/m4/sql/v2q_m4_da65e0bc535816b9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_da65e0bc535816b9.sql new file mode 100644 index 0000000000000000000000000000000000000000..85fbc72e9ab2a80d85018ab1f8c0724d5114c126 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_da65e0bc535816b9.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: m4 +-- 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_m4_da65e0bc535816b9 +-- problem_id: v2p_m4_8b6a4bcdc1ae9bc4 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "sex", + AVG(CAST("age" AS REAL)) OVER (PARTITION BY "sex") AS avg_measure +FROM "m4" +WHERE "sex" IS NOT NULL + AND TRIM("sex") <> '' + AND "age" IS NOT NULL + AND TRIM("age") <> '' +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_db8173444d153955.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_db8173444d153955.sql new file mode 100644 index 0000000000000000000000000000000000000000..8a972b69eb41d16973fcc26a76b198ac9ddd0662 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_db8173444d153955.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: m4 +-- 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_m4_db8173444d153955 +-- problem_id: v2p_m4_c00679228f01a188 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "smoker" AS value_label, COUNT(*) AS support + FROM "m4" + GROUP BY "smoker" +) +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/m4/sql/v2q_m4_dc188a711717c2ac.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_dc188a711717c2ac.sql new file mode 100644 index 0000000000000000000000000000000000000000..25d79d41c63e6413b74b6c01186979e8c00a3a78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_dc188a711717c2ac.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: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m4_dc188a711717c2ac +-- problem_id: v2p_m4_346244da9602fe1a +-- realization_mode: agent +-- source_kind: agent +SELECT "region", + AVG(CASE WHEN "smoker" = 'no' THEN 1 ELSE 0 END) AS condition_rate +FROM "m4" +GROUP BY "region" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ddb0020cc8ce8592.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ddb0020cc8ce8592.sql new file mode 100644 index 0000000000000000000000000000000000000000..722b49c6a262e4c9b57007c7207439e84af9c38f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ddb0020cc8ce8592.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: m4 +-- 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_m4_ddb0020cc8ce8592 +-- problem_id: v2p_m4_96f7a48a1fa05b9c +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + CAST("bmi" AS REAL) AS "bmi", + NTILE(10) OVER (ORDER BY CAST("bmi" AS REAL) DESC) AS "tail_bucket" + FROM "m4" + WHERE "bmi" IS NOT NULL +) +SELECT "bmi" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "bmi" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_de58e768eaa762ac.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_de58e768eaa762ac.sql new file mode 100644 index 0000000000000000000000000000000000000000..4067762fa24bf8c3dea4a4dc4a590db9e7593345 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_de58e768eaa762ac.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: m4 +-- 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_m4_de58e768eaa762ac +-- problem_id: v2p_m4_67049a60ce468795 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "region", + SUM(CASE WHEN "region" = 'southeast' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "region" = 'southwest' THEN 1 ELSE 0 END) AS denominator_count + FROM "m4" + GROUP BY "region" +) +SELECT "region", + 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/m4/sql/v2q_m4_e359151b85448ea2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_e359151b85448ea2.sql new file mode 100644 index 0000000000000000000000000000000000000000..cc1ab1c41eb45b529149a8144e5827cf213fcc9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_e359151b85448ea2.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: m4 +-- 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_m4_e359151b85448ea2 +-- problem_id: v2p_m4_51815931921fc0e6 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("age" AS REAL) <= 51.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m4"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_e78680ead3df9746.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_e78680ead3df9746.sql new file mode 100644 index 0000000000000000000000000000000000000000..073ce6b0a8c97d8cbecb619c5dbee44bb66518f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_e78680ead3df9746.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: m4 +-- 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_m4_e78680ead3df9746 +-- problem_id: v2p_m4_39ff653a14477957 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", SUM(CAST("age" AS REAL)) AS total_measure +FROM "m4" +GROUP BY "sex" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_e823df53d71d0590.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_e823df53d71d0590.sql new file mode 100644 index 0000000000000000000000000000000000000000..e7a23a6189c73e270fbca05d5ad6a1bd9481ae46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_e823df53d71d0590.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: m4 +-- 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_m4_e823df53d71d0590 +-- problem_id: v2p_m4_11fb0650d5f4ea17 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "region", + SUM(CASE WHEN "smoker" = 'no' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "smoker" = 'yes' THEN 1 ELSE 0 END) AS denominator_count + FROM "m4" + GROUP BY "region" +) +SELECT "region", + 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/m4/sql/v2q_m4_ea211a02fba6ceb4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ea211a02fba6ceb4.sql new file mode 100644 index 0000000000000000000000000000000000000000..4fd02f196bca001d667b61eb1746d67d9fae76a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ea211a02fba6ceb4.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: m4 +-- 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_m4_ea211a02fba6ceb4 +-- problem_id: v2p_m4_d9e6482613babf3a +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "bmi", + SUM(CAST("age" AS REAL)) AS total_measure, + SUM(CAST("age" AS REAL)) * 100.0 / SUM(SUM(CAST("age" AS REAL))) OVER (PARTITION BY "sex") AS share_within_group +FROM "m4" +GROUP BY "sex", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ea49128c0ba61337.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ea49128c0ba61337.sql new file mode 100644 index 0000000000000000000000000000000000000000..42f84cfe66756a3f260742d7d10cf69bac619619 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ea49128c0ba61337.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: m4 +-- 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_m4_ea49128c0ba61337 +-- problem_id: v2p_m4_aa02b02ac518c918 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "children", + AVG(CAST("bmi" AS REAL)) OVER (PARTITION BY "children") AS "avg_measure" +FROM "m4" +WHERE "children" IS NOT NULL + AND "children" <> '' + AND "bmi" IS NOT NULL + AND "bmi" <> '' +ORDER BY "avg_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_eb6d212c9c19ed6c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_eb6d212c9c19ed6c.sql new file mode 100644 index 0000000000000000000000000000000000000000..2eb9a6b1aed34ecdb80c4762cc392496303d8b44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_eb6d212c9c19ed6c.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: m4 +-- 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_m4_eb6d212c9c19ed6c +-- problem_id: v2p_m4_0d1e0312db7caebe +-- realization_mode: agent +-- source_kind: agent +SELECT "region", "bmi", + SUM(CAST("age" AS REAL)) AS total_measure, + SUM(CAST("age" AS REAL)) * 100.0 / SUM(SUM(CAST("age" AS REAL))) OVER (PARTITION BY "region") AS share_within_group +FROM "m4" +GROUP BY "region", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ec9fc327163579e2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ec9fc327163579e2.sql new file mode 100644 index 0000000000000000000000000000000000000000..17a2568410dfd43bd38284c175dee77151e0079a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ec9fc327163579e2.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: m4 +-- 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_m4_ec9fc327163579e2 +-- problem_id: v2p_m4_e51649e7c0e29740 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "smoker", + AVG(CAST("age" AS REAL)) OVER (PARTITION BY "smoker") AS avg_measure +FROM "m4" +WHERE "smoker" IS NOT NULL + AND TRIM("smoker") <> '' + AND "age" IS NOT NULL + AND TRIM("age") <> '' +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_f1983c50427847af.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_f1983c50427847af.sql new file mode 100644 index 0000000000000000000000000000000000000000..e1a4b7bd3019f3a136a9ed930a17f5e6ea955b7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_f1983c50427847af.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: m4 +-- 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_m4_f1983c50427847af +-- problem_id: v2p_m4_0e505b32f75083ab +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "smoker", SUM(CAST("children" AS REAL)) AS group_value + FROM "m4" + GROUP BY "smoker" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."smoker", 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/m4/sql/v2q_m4_f42a450393ee7de9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_f42a450393ee7de9.sql new file mode 100644 index 0000000000000000000000000000000000000000..89b12cc8f211cf1831d507b5c1cd7f6e4dac31ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_f42a450393ee7de9.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: m4 +-- 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_m4_f42a450393ee7de9 +-- problem_id: v2p_m4_dc485ffeacf5fdd3 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", + AVG(CASE WHEN "children" = '1' THEN 1 ELSE 0 END) AS condition_rate +FROM "m4" +GROUP BY "children" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_f4fa75b40ebc18e8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_f4fa75b40ebc18e8.sql new file mode 100644 index 0000000000000000000000000000000000000000..809b7d20f22705176ae3ee96b5c668addc2edd78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_f4fa75b40ebc18e8.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: m4 +-- 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_m4_f4fa75b40ebc18e8 +-- problem_id: v2p_m4_d575ece1f5c5440a +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "smoker", + SUM(CASE WHEN "smoker" = 'no' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "smoker" = 'yes' THEN 1 ELSE 0 END) AS denominator_count + FROM "m4" + GROUP BY "smoker" +) +SELECT "smoker", + 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/m4/sql/v2q_m4_f547dea4f026cdd2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_f547dea4f026cdd2.sql new file mode 100644 index 0000000000000000000000000000000000000000..828ab3156594460659d6fa2ba70c57cfbcbcb5b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_f547dea4f026cdd2.sql @@ -0,0 +1,39 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- 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_m4_f547dea4f026cdd2 +-- problem_id: v2p_m4_83b91388603b1842 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "smoker", + CAST("children" AS INTEGER) AS "children_value", + ROW_NUMBER() OVER ( + PARTITION BY "smoker" + ORDER BY CAST("children" AS INTEGER) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "smoker" + ) AS "cnt" + FROM "m4" + WHERE "smoker" IS NOT NULL + AND "children" IS NOT NULL +) +SELECT + "smoker", + MAX( + CASE + WHEN "rn" = ((95 * "cnt") / 100) + CASE WHEN (95 * "cnt") % 100 = 0 THEN 0 ELSE 1 END + THEN "children_value" + END + ) AS "percentile_measure" +FROM "ranked" +GROUP BY "smoker" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_f59a8825e516298d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_f59a8825e516298d.sql new file mode 100644 index 0000000000000000000000000000000000000000..76d4871952ac95968dfb5adb1ac1a22ba5a919d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_f59a8825e516298d.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: m4 +-- 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_m4_f59a8825e516298d +-- problem_id: v2p_m4_2455ee5cefa57c11 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", "charges", + SUM(CAST("bmi" AS REAL)) AS "total_measure", + SUM(CAST("bmi" AS REAL)) * 100.0 / SUM(SUM(CAST("bmi" AS REAL))) OVER (PARTITION BY "children") AS "share_within_group" +FROM "m4" +GROUP BY "children", "charges" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_fc2bd89aaf2e9d29.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_fc2bd89aaf2e9d29.sql new file mode 100644 index 0000000000000000000000000000000000000000..d3cfafa403c10d8de5470ee705652adb9f88cd42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_fc2bd89aaf2e9d29.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: m4 +-- 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_m4_fc2bd89aaf2e9d29 +-- problem_id: v2p_m4_279cf33dd473c346 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "bmi", + SUM(CAST("age" AS REAL)) AS "total_measure", + SUM(CAST("age" AS REAL)) * 100.0 / SUM(SUM(CAST("age" AS REAL))) OVER (PARTITION BY "sex") AS "share_within_group" +FROM "m4" +GROUP BY "sex", "bmi" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ff564489d1b73a10.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ff564489d1b73a10.sql new file mode 100644 index 0000000000000000000000000000000000000000..70ec00e4de1f3e26d1f7ff57b90fe281a889f517 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ff564489d1b73a10.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: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m4_ff564489d1b73a10 +-- problem_id: v2p_m4_46e1ab388213a396 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "smoker", COUNT(*) AS row_count +FROM "m4" +WHERE CAST("age" AS REAL) >= 51.0 +GROUP BY "sex", "smoker" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aefcaf6db9dffaada56f12b8716e92a23f6dd8a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11160, "bytes_utf8": 11160, "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": 437, "bytes_utf8": 437, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15453, "cached_input_tokens": 14720, "output_tokens": 299, "reasoning_output_tokens": 174}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1e1cb65289177d0cb44f92b5dbea9ea008a31d47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f4f35f216acafe9fd9c480e3a73ddb30f1a763df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/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": "2026-05-19T15:57:53.374619+00:00", + "ended_at": "2026-05-19T15:58:01.444102+00:00", + "elapsed_ms": 8069.45, + "prompt_metrics": { + "chars": 11160, + "bytes_utf8": 11160, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 792, + "bytes_utf8": 792, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_00d23b2d26d79329/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5b487b7c573f79f11e2931925ab6dc451c35776 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/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": 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},\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_00d23b2d26d79329/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..26d06d442012e9582c1632d26c9740d7d29f4181 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-3a70-7313-9de0-66a5b1172edd"} +{"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\":\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15453,"cached_input_tokens":14720,"output_tokens":299,"reasoning_output_tokens":174}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7555b383b40b45c530187f2a15154fbf7ebc7203 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/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":"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_00d23b2d26d79329/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_024ce539bf56dacf/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f18da70f780aa8c78ac9dba721e986e264cbe157 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11310, "bytes_utf8": 11310, "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": 15507, "cached_input_tokens": 12032, "output_tokens": 662, "reasoning_output_tokens": 484}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..12f18a9ea374ff5ad7e7eadb72df9180f583a9ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c474ded4ea46b99f6a9b442bd229f06e2210c1f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/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": "2026-05-19T15:34:12.816356+00:00", + "ended_at": "2026-05-19T15:34:25.495893+00:00", + "elapsed_ms": 12679.51, + "prompt_metrics": { + "chars": 11310, + "bytes_utf8": 11310, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1030, + "bytes_utf8": 1030, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 632, + "bytes_utf8": 632, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15507, + "cached_input_tokens": 12032, + "output_tokens": 662, + "reasoning_output_tokens": 484 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_024ce539bf56dacf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9aae9b239cdc04b8793ba7b411ddb916fe00f1e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/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=Solidity.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_024ce539bf56dacf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e2410d525c41058c3753626298ee997caa65363 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-8d63-7b12-83ed-8ce4a290cdeb"} +{"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 \\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15507,"cached_input_tokens":12032,"output_tokens":662,"reasoning_output_tokens":484}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e7610e1d9a2344bd45c14da033cfee6674dc1cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_024ce539bf56dacf/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_0255ce6fcc3e0a7a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..42ab1813a9c9c705eedc696e5edea91a968019cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11452, "bytes_utf8": 11452, "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": 766, "bytes_utf8": 766, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15526, "cached_input_tokens": 14720, "output_tokens": 661, "reasoning_output_tokens": 442}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..597f91972cacad3fc99a79b524ce1ecea8b9a174 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..46338a2708142be864858d3e6617acf476ab3d8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/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": "2026-05-19T15:46:05.631667+00:00", + "ended_at": "2026-05-19T15:46:18.970069+00:00", + "elapsed_ms": 13338.36, + "prompt_metrics": { + "chars": 11452, + "bytes_utf8": 11452, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1196, + "bytes_utf8": 1196, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_0255ce6fcc3e0a7a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e17f24c66b6a6c1843baff3c81692f5a97183e74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/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=Solidity.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_0255ce6fcc3e0a7a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e22b3f64fd9f91607529d96ae68320e5260990b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-6dbe-7183-aa47-5e5d74cbab3f"} +{"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 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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15526,"cached_input_tokens":14720,"output_tokens":661,"reasoning_output_tokens":442}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb2f733ff0ddfe550431872fb27445f77af065ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/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 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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0255ce6fcc3e0a7a/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_0261622b6183fc3e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c3c42c7ec82e2dd3bb663b3e96467d08cb684c2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10908, "bytes_utf8": 10908, "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": 403, "bytes_utf8": 403, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15390, "cached_input_tokens": 12032, "output_tokens": 608, "reasoning_output_tokens": 498}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1d38a3f819b3a771eee0147ad4a372179ece342d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e3cf4fd7532adcf631a5ba5ef146384efcb23fe4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/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": "2026-05-19T15:31:00.096970+00:00", + "ended_at": "2026-05-19T15:31:15.496519+00:00", + "elapsed_ms": 15399.52, + "prompt_metrics": { + "chars": 10908, + "bytes_utf8": 10908, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 769, + "bytes_utf8": 769, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 403, + "bytes_utf8": 403, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 608, + "reasoning_output_tokens": 498 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ce76f71423c7d2a95ee34228780a6d8567d4b13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/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": 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 + }, + "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_0261622b6183fc3e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1976ee7fa999b7b4bce2e8b52b6a389e7fa0ad73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-9c88-7911-8e26-c556a5897244"} +{"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\":\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15390,"cached_input_tokens":12032,"output_tokens":608,"reasoning_output_tokens":498}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ad9f590510d724614e58c2ba921687501e184a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/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":"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0261622b6183fc3e/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..72a3ace1370a6f6332229bb4e332f52e65f1117e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11306, "bytes_utf8": 11306, "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": 15507, "cached_input_tokens": 14720, "output_tokens": 551, "reasoning_output_tokens": 387}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0891d7c222bfffe8c56001b8acb056491f03a676 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..180c0c473096e4651c63eaed978663eb7713ba94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/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": "2026-05-19T15:37:07.642184+00:00", + "ended_at": "2026-05-19T15:37:18.769700+00:00", + "elapsed_ms": 11127.48, + "prompt_metrics": { + "chars": 11306, + "bytes_utf8": 11306, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 961, + "bytes_utf8": 961, + "lines": 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": 15507, + "cached_input_tokens": 14720, + "output_tokens": 551, + "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_061574dcf9031d13/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f20da4cf76e3bbb97dbf00ab0f384680090a4fbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/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=ShapeFactor4.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_061574dcf9031d13/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a5eb05a4c0ea514ac578c10a65740b8523ea80a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-3854-7d50-ab04-e417715c57d8"} +{"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\":\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15507,"cached_input_tokens":14720,"output_tokens":551,"reasoning_output_tokens":387}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4df16a991d04408d40db921ed77c3eefc2d609ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/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":"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_061574dcf9031d13/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fb93ae845e043ac467bff9e59cd6c24fe9aa1774 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/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": 709, "bytes_utf8": 709, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15526, "cached_input_tokens": 14720, "output_tokens": 650, "reasoning_output_tokens": 444}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b251d277a61647973de27fcefbec2f90bd474063 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/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_08507f6db65252f6", + "api_calls": 0, + "input_tokens": 15526, + "cached_input_tokens": 14720, + "output_tokens": 650, + "total_tokens": 16176, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18134.34, + "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_08507f6db65252f6/cli/conversation.jsonl", + "note": "Executed through a 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_08507f6db65252f6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4aefb7756c1fecd2dc730c246a9f3e4f1360e437 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/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": "2026-05-19T15:47:53.604331+00:00", + "ended_at": "2026-05-19T15:48:11.738707+00:00", + "elapsed_ms": 18134.34, + "prompt_metrics": { + "chars": 11461, + "bytes_utf8": 11461, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1156, + "bytes_utf8": 1156, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_08507f6db65252f6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2428b5225f0a23e3496b3e947f8127df520e8ef8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/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=ShapeFactor2.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor2", + "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": 0.001996, + "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": "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_08507f6db65252f6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9fa5560bdcd4f550f678061b422de0a6cae34c09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-1410-7a23-8813-4b5a4d13da03"} +{"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(\\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15526,"cached_input_tokens":14720,"output_tokens":650,"reasoning_output_tokens":444}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a4de0f0ef97ca3c3eb14a220e13c749eb66e7db8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/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(\"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_08507f6db65252f6/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ff28fa123300e9acdfa1c2b2953c2c25c29c54cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10855, "bytes_utf8": 10855, "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": 398, "bytes_utf8": 398, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15381, "cached_input_tokens": 12288, "output_tokens": 379, "reasoning_output_tokens": 267}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6413665bec7390c84138247d89317da6f60a1e49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..97e3b6bb72ba27fd6d496087982d440a794fc107 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:30.269963+00:00", + "ended_at": "2026-05-19T16:00:40.860481+00:00", + "elapsed_ms": 10590.49, + "prompt_metrics": { + "chars": 10855, + "bytes_utf8": 10855, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 742, + "bytes_utf8": 742, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 398, + "bytes_utf8": 398, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15381, + "cached_input_tokens": 12288, + "output_tokens": 379, + "reasoning_output_tokens": 267 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..04ce80f1fbe5734ccbc6518dbce87a47c8f9584b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/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=MinorAxisLength.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "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 + }, + "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_0eef476a2da45dcc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bcce32e899179ee7a55393b5c0539b8d8b9b45ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-9f47-7d81-982b-063de2d992d0"} +{"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(\\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15381,"cached_input_tokens":12288,"output_tokens":379,"reasoning_output_tokens":267}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a50670f0fcb64e24000b1805c9a6b4b3395a54ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_0eef476a2da45dcc/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_1087a749d52189ff/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1087a749d52189ff/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..56da033a278061df4f995a6d0fbb73c67bef45f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1087a749d52189ff/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11460, "bytes_utf8": 11460, "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": 598, "bytes_utf8": 598, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15528, "cached_input_tokens": 14720, "output_tokens": 401, "reasoning_output_tokens": 238}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1087a749d52189ff/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1087a749d52189ff/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..18ae443a87fe64816033dc9af39a893eafb42ac3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1087a749d52189ff/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_1087a749d52189ff", + "api_calls": 0, + "input_tokens": 15528, + "cached_input_tokens": 14720, + "output_tokens": 401, + "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": 8941.14, + "sql_execution_elapsed_ms_total": 12.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1087a749d52189ff/cli/conversation.jsonl", + "note": "Executed through a 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_1087a749d52189ff/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1087a749d52189ff/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7a48035037528d523950012a3be5a1cab54cad2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1087a749d52189ff/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": "2026-05-19T15:48:45.426908+00:00", + "ended_at": "2026-05-19T15:48:54.368082+00:00", + "elapsed_ms": 8941.14, + "prompt_metrics": { + "chars": 11460, + "bytes_utf8": 11460, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 969, + "bytes_utf8": 969, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 598, + "bytes_utf8": 598, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15528, + "cached_input_tokens": 14720, + "output_tokens": 401, + "reasoning_output_tokens": 238 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1087a749d52189ff/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1087a749d52189ff/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..54aad56a4b4c8586e9446b8e7ee8aa2450e2096d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1087a749d52189ff/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=ShapeFactor4.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor4", + "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": 0.997883, + "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": "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_1087a749d52189ff/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1087a749d52189ff/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8085c6a7292d5fde3751322e715c31284a0f8216 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1087a749d52189ff/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-de01-7601-bc5b-fd95f94bb12d"} +{"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 * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the provided template with group_col=\\\"Class\\\" and measure_col=\\\"ShapeFactor4\\\". Cast \\\"ShapeFactor4\\\" to REAL because the schema stores it as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15528,"cached_input_tokens":14720,"output_tokens":401,"reasoning_output_tokens":238}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1087a749d52189ff/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1087a749d52189ff/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..73cb2a420b8047d6d08b06981f6c2163eab64e1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1087a749d52189ff/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 * 0.1\nORDER BY g.group_value DESC;","notes":"Used the provided template with group_col=\"Class\" and measure_col=\"ShapeFactor4\". Cast \"ShapeFactor4\" 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_1087a749d52189ff/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1087a749d52189ff/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_109fd89445e7e40d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c9b7056858b9b816819b0383fb8a9b122f4eabba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11157, "bytes_utf8": 11157, "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": 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": 11157, "bytes_utf8": 11157, "lines": 303, "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": 504, "bytes_utf8": 504, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15453, "cached_input_tokens": 14720, "output_tokens": 278, "reasoning_output_tokens": 143}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3d2a48ba0b09bbcbe2efb9a31d5ae034f06dd42c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c4256c899ac26a2db19e9e1b81d247aa4654a21b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:12.526725+00:00", + "ended_at": "2026-05-19T15:57:15.883841+00:00", + "elapsed_ms": 3357.09, + "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_109fd89445e7e40d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c8eb937bf247d5118756f27a02a22faf24582854 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/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": "2026-05-19T15:57:16.885393+00:00", + "ended_at": "2026-05-19T15:57:26.035789+00:00", + "elapsed_ms": 9150.36, + "prompt_metrics": { + "chars": 11157, + "bytes_utf8": 11157, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 859, + "bytes_utf8": 859, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 504, + "bytes_utf8": 504, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15453, + "cached_input_tokens": 14720, + "output_tokens": 278, + "reasoning_output_tokens": 143 + } + }, + "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_109fd89445e7e40d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..11df451005abac62103a570e4839cf8a6dc610b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/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": 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},\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_109fd89445e7e40d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..11df451005abac62103a570e4839cf8a6dc610b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/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": 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},\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_109fd89445e7e40d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd4ca77575bb58b99a040c1330bf4ba021310339 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-9aec-74a1-b5f0-7a1919d95dff"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_109fd89445e7e40d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ef1584a9a101fb0daea31363957f4cc5791eaa5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-9aec-74a1-b5f0-7a1919d95dff"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_109fd89445e7e40d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fc7e2cb3048d91a3fdb5d3013f2ff0a26a83171d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-abe7-72e2-a1f1-e474b6f642b7"} +{"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 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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15453,"cached_input_tokens":14720,"output_tokens":278,"reasoning_output_tokens":143}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..951445520efbe502b97e60824e1675b6520e162c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/sql_response_attempt_2.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 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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/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_109fd89445e7e40d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_109fd89445e7e40d/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_139e0517993590f7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0933e66fc25912489978ea38440225985dcdeaf9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11309, "bytes_utf8": 11309, "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": 568, "bytes_utf8": 568, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15506, "cached_input_tokens": 12032, "output_tokens": 472, "reasoning_output_tokens": 316}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..79454473fd939bca885efffbd656d5fa3430d8ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..145ef6a255105e7ff90f86fef1c28a3ba72e0bf3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/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": "2026-05-19T15:34:40.480281+00:00", + "ended_at": "2026-05-19T15:34:53.528423+00:00", + "elapsed_ms": 13048.11, + "prompt_metrics": { + "chars": 11309, + "bytes_utf8": 11309, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 952, + "bytes_utf8": 952, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_139e0517993590f7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..29fba5b2421a21a35e844a0f0d589a9cf4348cbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/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=roundness.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_139e0517993590f7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..949a6a70b16feff19aa0d2a23a5b50133f9ca80b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-f975-7e31-b72e-edd7e1104dff"} +{"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\\\"\\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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15506,"cached_input_tokens":12032,"output_tokens":472,"reasoning_output_tokens":316}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..95386bd40cf5104b1314aa2a117f10c2cd6642f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/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\"\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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_139e0517993590f7/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_1736688c77d95794/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1736688c77d95794/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4fceda772ca715e886a67a1d6de43ce401bed018 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1736688c77d95794/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11310, "bytes_utf8": 11310, "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": 636, "bytes_utf8": 636, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15506, "cached_input_tokens": 14720, "output_tokens": 652, "reasoning_output_tokens": 475}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1736688c77d95794/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1736688c77d95794/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..93bbdea559dfd127433274220bc9f9b41f12e8f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1736688c77d95794/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_1736688c77d95794", + "api_calls": 0, + "input_tokens": 15506, + "cached_input_tokens": 14720, + "output_tokens": 652, + "total_tokens": 16158, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14935.31, + "sql_execution_elapsed_ms_total": 69.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1736688c77d95794/cli/conversation.jsonl", + "note": "Executed through a 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_1736688c77d95794/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1736688c77d95794/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b650f2d16c85ea0744f5ca579e792490eac59afa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1736688c77d95794/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": "2026-05-19T15:38:23.997382+00:00", + "ended_at": "2026-05-19T15:38:38.932724+00:00", + "elapsed_ms": 14935.31, + "prompt_metrics": { + "chars": 11310, + "bytes_utf8": 11310, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1030, + "bytes_utf8": 1030, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 636, + "bytes_utf8": 636, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15506, + "cached_input_tokens": 14720, + "output_tokens": 652, + "reasoning_output_tokens": 475 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_1736688c77d95794/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1736688c77d95794/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..97edb9c14ee2e5428c2844dc422bcd1c97048d71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1736688c77d95794/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=Perimeter.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Class", + "measure_col": "Perimeter", + "item_col": "MajorAxisLength", + "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": 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}, {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_1736688c77d95794/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1736688c77d95794/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..55fe37017c044faac6248508b2e292f61f4a0c42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1736688c77d95794/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-6279-7d61-857b-cde49830f65e"} +{"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 \\\"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\":\"Applied the provided 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":15506,"cached_input_tokens":14720,"output_tokens":652,"reasoning_output_tokens":475}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1736688c77d95794/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1736688c77d95794/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..64aac27590a5362eb9a42101f64f724927c25173 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1736688c77d95794/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"Class\",\n \"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":"Applied the provided 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_1736688c77d95794/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_1736688c77d95794/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e4637b2bf034101908c9c4c598a390e2fd271919 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/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": "2026-05-19T16:02:58.296154+00:00", + "ended_at": "2026-05-19T16:03:01.670662+00:00", + "elapsed_ms": 3374.48, + "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_21302bb4a801d3aa/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..16b1d451a82a635f7ad488a7b4cade046d9bf05c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/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": "2026-05-19T16:03:02.672769+00:00", + "ended_at": "2026-05-19T16:03:05.869442+00:00", + "elapsed_ms": 3196.63, + "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_21302bb4a801d3aa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e190557bf5b1d0270518bd169e0ce21934c89b6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/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": 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 + }, + "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_21302bb4a801d3aa/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e190557bf5b1d0270518bd169e0ce21934c89b6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/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": 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 + }, + "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_21302bb4a801d3aa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c600a71b7eaf75da74e077a49c2bc95c85e9bc8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-e198-7552-8e76-7467b3fd6a41"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_21302bb4a801d3aa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c01213bc4983c3761e01c7e9e70947a762ef8a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-e198-7552-8e76-7467b3fd6a41"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_21302bb4a801d3aa/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4938ad1ade8e23e22b8df10d07528029b8fb62a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-f292-7662-b17a-c878f729f7c7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_21302bb4a801d3aa/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..deece4a8ef62b809cc5c7f31d4ba590a955df68a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-f292-7662-b17a-c878f729f7c7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_21302bb4a801d3aa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/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/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_21302bb4a801d3aa/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_22ff3e2ec890c58f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aa33333aa8aeef2dc4f0ac82830581c7dc5b1c82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10905, "bytes_utf8": 10905, "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": 399, "bytes_utf8": 399, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15390, "cached_input_tokens": 14720, "output_tokens": 337, "reasoning_output_tokens": 231}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7c1ee31e08628b2c9dea25d9d7fe8a504b59859b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..344cf15a3b6611f4b12a9259036ae0dc09947266 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/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": "2026-05-19T15:29:37.840073+00:00", + "ended_at": "2026-05-19T15:29:55.180389+00:00", + "elapsed_ms": 17340.29, + "prompt_metrics": { + "chars": 10905, + "bytes_utf8": 10905, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1427, + "bytes_utf8": 1427, + "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": 399, + "bytes_utf8": 399, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15390, + "cached_input_tokens": 14720, + "output_tokens": 337, + "reasoning_output_tokens": 231 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_22ff3e2ec890c58f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e64209ad01a73fc81db70957ad930114b9c59a83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/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": 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}, 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_22ff3e2ec890c58f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..72f281ca80e0bb7e869d32e0ef111b8957aa4fb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40db-5b53-7d80-ad05-9b31fe0e240e"} +{"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":"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 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\":\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15390,"cached_input_tokens":14720,"output_tokens":337,"reasoning_output_tokens":231}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9be1a20639b7acba0728859f04314886a76ecebd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/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":"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_22ff3e2ec890c58f/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3a86b8778a1a45e77ca72c8897a03dcb75d083fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10805, "bytes_utf8": 10805, "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": 277, "bytes_utf8": 277, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15360, "cached_input_tokens": 12032, "output_tokens": 201, "reasoning_output_tokens": 127}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c297ce08ba038b5efc100c2bec07c1b67f54b75e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..641fb1a9289536515fc138658ed63b9a957e41f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/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": "2026-05-19T15:32:35.964761+00:00", + "ended_at": "2026-05-19T15:32:54.717891+00:00", + "elapsed_ms": 18753.08, + "prompt_metrics": { + "chars": 10805, + "bytes_utf8": 10805, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1630, + "bytes_utf8": 1630, + "lines": 7, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 277, + "bytes_utf8": 277, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15360, + "cached_input_tokens": 12032, + "output_tokens": 201, + "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_2364338db8f068f0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..947188418709b78363f8cd62d536957fe453e434 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/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": 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}, 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_2364338db8f068f0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1adc0b91b0e759a50fb47d9801f58541b74d1ce3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40de-131b-7cb2-91cf-b6ecb740449e"} +{"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 1987729, Requested 15995. Please try again in 111ms. 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 15995. 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 15995. 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 provided grouped-count template with group_col bound to \\\"Class\\\" to measure class distribution.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15360,"cached_input_tokens":12032,"output_tokens":201,"reasoning_output_tokens":127}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b76f85505d2561968d0e345f13b09dbaec615821 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/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 provided grouped-count template with group_col bound to \"Class\" to measure class distribution."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2364338db8f068f0/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_2508ae42bf4d06e2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9115150b72883f35118f83bc94cec8108fe2eac4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10998, "bytes_utf8": 10998, "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": 15401, "cached_input_tokens": 14720, "output_tokens": 312, "reasoning_output_tokens": 207}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d5493428c3264b2248574b9806611aba64021a3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a7823165978e460409dbaf9084d83e94c817b440 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/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": "2026-05-19T15:41:20.933848+00:00", + "ended_at": "2026-05-19T15:41:35.290759+00:00", + "elapsed_ms": 14356.87, + "prompt_metrics": { + "chars": 10998, + "bytes_utf8": 10998, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1100, + "bytes_utf8": 1100, + "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": 409, + "bytes_utf8": 409, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15401, + "cached_input_tokens": 14720, + "output_tokens": 312, + "reasoning_output_tokens": 207 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_2508ae42bf4d06e2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab34a6f40f05821c198cdeca52cb86bbd80a159f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/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 ranked_signal_view. Focus on group_col=Class, measure_col=MajorAxisLength.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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 + }, + "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_2508ae42bf4d06e2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..21bb15ebe868b25c3a01f9df932132c408763915 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e6-15b8-7c70-9d43-130a05aca2c6"} +{"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":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15401,"cached_input_tokens":14720,"output_tokens":312,"reasoning_output_tokens":207}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d91e65ba130ad18f0c46ac00d91c25683a6177d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2508ae42bf4d06e2/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_265eaf3da123b00b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..64ceb1149402e80c432782dfdaf5f31d73ad1c1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_265eaf3da123b00b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11153, "bytes_utf8": 11153, "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": 425, "bytes_utf8": 425, "lines": 1, "estimated_tokens": null}, "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_2944dc1a0d5d02f9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..03dc7ab43a8e9f0e47f3db1293bcf21deb88f715 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11064, "bytes_utf8": 11064, "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": 431, "bytes_utf8": 431, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15431, "cached_input_tokens": 12032, "output_tokens": 262, "reasoning_output_tokens": 145}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6b593afc6fad4586262fc83a3a5d09c419666d39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..072a08a39bf86f5808f249bd1a4dfae186c39e69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/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": "2026-05-19T16:04:21.011520+00:00", + "ended_at": "2026-05-19T16:04:30.382196+00:00", + "elapsed_ms": 9370.65, + "prompt_metrics": { + "chars": 11064, + "bytes_utf8": 11064, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 795, + "bytes_utf8": 795, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 431, + "bytes_utf8": 431, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15431, + "cached_input_tokens": 12032, + "output_tokens": 262, + "reasoning_output_tokens": 145 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_2944dc1a0d5d02f9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b06b633537d93ec10eb46b88fa52d6966d8f9ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/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=Extent.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "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 + }, + "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_2944dc1a0d5d02f9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..353ea01046acf43026be8a0729c67c3d291a1490 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-249f-7b10-ae20-23fc12bcef99"} +{"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(\\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15431,"cached_input_tokens":12032,"output_tokens":262,"reasoning_output_tokens":145}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8dc5a255f3003a9639cd3e451870e15d88cb9522 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_2944dc1a0d5d02f9/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..658e62efe4313b69305de26c359c842d3ca76e4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/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": 1023, "bytes_utf8": 1023, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15428, "cached_input_tokens": 14720, "output_tokens": 825, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6a9984d87a2541a46d969d33ab9c01b6d5629a32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f01b6c84abc729601b9df169529ebfe8cacd0bf1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:21.931026+00:00", + "ended_at": "2026-05-19T15:52:40.556129+00:00", + "elapsed_ms": 18625.07, + "prompt_metrics": { + "chars": 11079, + "bytes_utf8": 11079, + "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": 1023, + "bytes_utf8": 1023, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15428, + "cached_input_tokens": 14720, + "output_tokens": 825, + "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_35a4e581af668255/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9496134efea7ee37f65036c6a2863dd4a584d121 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/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=ConvexArea.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_35a4e581af668255/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7976d85a4d6c9564de7f30e82775954b9577d9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-2bbe-7490-a45a-04702fe3f16b"} +{"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(\\\"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 90th-percentile point).\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15428,"cached_input_tokens":14720,"output_tokens":825,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..56319224e8e6fc2f0d1dd7978296337de81db00d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/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(\"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 90th-percentile point)."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_35a4e581af668255/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..adfbb47bb1cf1cccec8edcf8ab5fbbf6fc61117a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"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": 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": 10886, "bytes_utf8": 10886, "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": 315, "bytes_utf8": 315, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15396, "cached_input_tokens": 12032, "output_tokens": 378, "reasoning_output_tokens": 280}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..77265f42af38b981bab3e90d0277e0d881266c85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..54dfa36a1ab56de5a8a9a8c98b5d55481ed9ad1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/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": "2026-05-19T16:00:57.710175+00:00", + "ended_at": "2026-05-19T16:01:00.978277+00:00", + "elapsed_ms": 3268.08, + "returncode": 1, + "prompt_metrics": { + "chars": 10886, + "bytes_utf8": 10886, + "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_36e3f302abd4e02e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a2142e7fec50fc52de067af69372ea6f82a908f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/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": "2026-05-19T16:01:01.980488+00:00", + "ended_at": "2026-05-19T16:01:12.249754+00:00", + "elapsed_ms": 10269.22, + "prompt_metrics": { + "chars": 10886, + "bytes_utf8": 10886, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 680, + "bytes_utf8": 680, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 315, + "bytes_utf8": 315, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15396, + "cached_input_tokens": 12032, + "output_tokens": 378, + "reasoning_output_tokens": 280 + } + }, + "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_36e3f302abd4e02e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f12f4f6770dcec4709b22206981ce6f8fdfef50f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/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": 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 + }, + "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_36e3f302abd4e02e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f12f4f6770dcec4709b22206981ce6f8fdfef50f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/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": 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 + }, + "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_36e3f302abd4e02e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..89a93291b0f4d80841ae7e2a754f6db5b08328d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-0a69-7e81-8370-4a43c043c25b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_36e3f302abd4e02e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4fd855aab0f93591d46d6deb63c898a61c55ba1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-0a69-7e81-8370-4a43c043c25b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_36e3f302abd4e02e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a819486c97de4929c6372f86b2d7bcb4c40f796 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-1b1f-7050-abe2-061bc902e0b8"} +{"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 11;\",\"notes\":\"Uses the Low-Support Group Count template on \\\"n10\\\" with group_col bound to \\\"Class\\\" and top_k set to 11.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15396,"cached_input_tokens":12032,"output_tokens":378,"reasoning_output_tokens":280}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..43782a23958649018ed41f4ce4349533a74cf490 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/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 11;","notes":"Uses the Low-Support Group Count template on \"n10\" with group_col bound to \"Class\" and top_k set to 11."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/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/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_36e3f302abd4e02e/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_3fe0377a2db711a8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3fe0377a2db711a8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7081020b946ffb3bf50c4856c301304e5caa496e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3fe0377a2db711a8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11090, "bytes_utf8": 11090, "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": 585, "bytes_utf8": 585, "lines": 1, "estimated_tokens": null}, "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_3fe0377a2db711a8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3fe0377a2db711a8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c9cc7230dc8eedbac54902a2bd3b0207b74e8e6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3fe0377a2db711a8/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_3fe0377a2db711a8", + "api_calls": 0, + "input_tokens": 15445, + "cached_input_tokens": 14720, + "output_tokens": 616, + "total_tokens": 16061, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16083.79, + "sql_execution_elapsed_ms_total": 39.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3fe0377a2db711a8/cli/conversation.jsonl", + "note": "Executed through a 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_3fe0377a2db711a8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3fe0377a2db711a8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f8abe9a7008e511026eb322d3eb06ad2d755f4b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3fe0377a2db711a8/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": "2026-05-19T15:45:12.477098+00:00", + "ended_at": "2026-05-19T15:45:28.560925+00:00", + "elapsed_ms": 16083.79, + "prompt_metrics": { + "chars": 11090, + "bytes_utf8": 11090, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 965, + "bytes_utf8": 965, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 585, + "bytes_utf8": 585, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15445, + "cached_input_tokens": 14720, + "output_tokens": 616, + "reasoning_output_tokens": 455 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_3fe0377a2db711a8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3fe0377a2db711a8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d44a505b5ac18566fb4720adde307b71a222ddb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3fe0377a2db711a8/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=MajorAxisLength.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "MajorAxisLength", + "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": 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": "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_3fe0377a2db711a8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3fe0377a2db711a8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7260a1627e954ce28a2cc8992dba3406ed19dd4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3fe0377a2db711a8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3fe0377a2db711a8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_3fe0377a2db711a8/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..288240f891d69befe471e18ee67da6348201581a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11089, "bytes_utf8": 11089, "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": 539, "bytes_utf8": 539, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15445, "cached_input_tokens": 14720, "output_tokens": 370, "reasoning_output_tokens": 217}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..665d3ff1dc49aecbc2071a1a981b826de617f12e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..956072e009833e945bf9b7acd422f7c9872a4f36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/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": "2026-05-19T15:45:28.608139+00:00", + "ended_at": "2026-05-19T15:45:40.774894+00:00", + "elapsed_ms": 12166.73, + "prompt_metrics": { + "chars": 11089, + "bytes_utf8": 11089, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 915, + "bytes_utf8": 915, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_4397ebed361eb432/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d0e1a9900ba59730b3803a2c7b59d69575eab41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/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=MinorAxisLength.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "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 + }, + "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_4397ebed361eb432/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a6ddc081f4d3c75b2c30e2115fb1187ccf8ba6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-dd30-7db3-ab35-bd380d638b01"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15445,"cached_input_tokens":14720,"output_tokens":370,"reasoning_output_tokens":217}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6a1c0e5990883299a9df2dc384aa298827e90e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4397ebed361eb432/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_44fea138f38b7115/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_44fea138f38b7115/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8647b688972b0a261666b3d56c0b272738f27d3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_44fea138f38b7115/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": 295, "bytes_utf8": 295, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15397, "cached_input_tokens": 12032, "output_tokens": 208, "reasoning_output_tokens": 120}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_44fea138f38b7115/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_44fea138f38b7115/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..01184dccc67f143d8ee690e16be1dec4fbac06f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_44fea138f38b7115/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_44fea138f38b7115", + "api_calls": 0, + "input_tokens": 15397, + "cached_input_tokens": 12032, + "output_tokens": 208, + "total_tokens": 15605, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18290.95, + "sql_execution_elapsed_ms_total": 5.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_44fea138f38b7115/cli/conversation.jsonl", + "note": "Executed through a 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_44fea138f38b7115/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_44fea138f38b7115/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7ee8c8b76fd8ec39ada7caea6367b0dd9e2e5836 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_44fea138f38b7115/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": "2026-05-19T16:01:28.090335+00:00", + "ended_at": "2026-05-19T16:01:46.381306+00:00", + "elapsed_ms": 18290.95, + "prompt_metrics": { + "chars": 10888, + "bytes_utf8": 10888, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 648, + "bytes_utf8": 648, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 295, + "bytes_utf8": 295, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15397, + "cached_input_tokens": 12032, + "output_tokens": 208, + "reasoning_output_tokens": 120 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_44fea138f38b7115/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_44fea138f38b7115/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c19c4f5d4f81216492efdc6df908805a46213d99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_44fea138f38b7115/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": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.916869, + "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_44fea138f38b7115/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_44fea138f38b7115/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9444125ec25f8701c4e55968d13c924e95869e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_44fea138f38b7115/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-810f-79e2-8e0b-8b2534c7e8ff"} +{"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 17;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"Class\\\" and top_k set to 17.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15397,"cached_input_tokens":12032,"output_tokens":208,"reasoning_output_tokens":120}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_44fea138f38b7115/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_44fea138f38b7115/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1371984f3dd416cd0eb95f90d5e638f47291ca2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_44fea138f38b7115/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 17;","notes":"Uses the Low-Support Group Count template with group_col bound to \"Class\" and top_k set to 17."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_44fea138f38b7115/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_44fea138f38b7115/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..66410145a286623987e239f61e623a9c44d8a055 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"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": 432, "bytes_utf8": 432, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15435, "cached_input_tokens": 12032, "output_tokens": 386, "reasoning_output_tokens": 263}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..01e13f0cddbabe3004e89df750ec27b3d766445e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c3d4b1fd50fc0dc66f2a6fc7298d3b2670d8a75c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/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": "2026-05-19T16:03:05.874724+00:00", + "ended_at": "2026-05-19T16:03:15.352145+00:00", + "elapsed_ms": 9477.39, + "prompt_metrics": { + "chars": 11072, + "bytes_utf8": 11072, + "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": 15435, + "cached_input_tokens": 12032, + "output_tokens": 386, + "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_46f9736c87569a30/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9dcf826803cf3e4b07eeca14d13f5ace2abe010b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/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=AspectRation.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "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 {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_46f9736c87569a30/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b24c1254428ff69762a9d44a16afe88a2ff210d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-ff13-7811-ae2b-a34b2cc3d3c7"} +{"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)) > 1.707109\\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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15435,"cached_input_tokens":12032,"output_tokens":386,"reasoning_output_tokens":263}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..72a2b65ee549b2a63f7e049b143ed8a9974ed8fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/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)) > 1.707109\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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_46f9736c87569a30/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_4a5406786fbbbc57/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..34889aeb52861b690e992633806d1d2a0862a89b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:40.598615+00:00", + "ended_at": "2026-05-19T15:52:43.500020+00:00", + "elapsed_ms": 2901.35, + "returncode": 1, + "prompt_metrics": { + "chars": 11086, + "bytes_utf8": 11086, + "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_4a5406786fbbbc57/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..59566f3f569a7eca654307bd0e5d19f6520de699 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/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": "2026-05-19T15:52:44.501593+00:00", + "ended_at": "2026-05-19T15:52:47.577100+00:00", + "elapsed_ms": 3075.48, + "returncode": 1, + "prompt_metrics": { + "chars": 11086, + "bytes_utf8": 11086, + "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_4a5406786fbbbc57/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc0bec3043d2e8fde40bdfa71fdc61b08c8ffcf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/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=EquivDiameter.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_4a5406786fbbbc57/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc0bec3043d2e8fde40bdfa71fdc61b08c8ffcf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/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=EquivDiameter.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_4a5406786fbbbc57/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..339d9f9e444c627450e7b6857b36a00cd85542d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-74a8-7d00-9a77-7936914ba74c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_4a5406786fbbbc57/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..15520280ce6d10b53df8ed933930fd94cea46db8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-74a8-7d00-9a77-7936914ba74c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_4a5406786fbbbc57/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..72e3683c1a1bcb0f09a5b3529b6e7fd1f0574419 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-83f1-7442-a44d-7a69dde5c608"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_4a5406786fbbbc57/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b9244100a05383c9822baeeb73df0926ba0d6ebe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-83f1-7442-a44d-7a69dde5c608"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_4a5406786fbbbc57/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/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_4a5406786fbbbc57/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_4a5406786fbbbc57/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_53fcd1bdf5f50543/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_53fcd1bdf5f50543/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cd8837ee1bb8f096432df7b1a7525e556bd6d1bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_53fcd1bdf5f50543/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": 763, "bytes_utf8": 763, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15600, "cached_input_tokens": 14720, "output_tokens": 648, "reasoning_output_tokens": 449}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_53fcd1bdf5f50543/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_53fcd1bdf5f50543/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8cd024a0d4d64921506f17b57decb152883531f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_53fcd1bdf5f50543/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_53fcd1bdf5f50543", + "api_calls": 0, + "input_tokens": 15600, + "cached_input_tokens": 14720, + "output_tokens": 648, + "total_tokens": 16248, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19102.09, + "sql_execution_elapsed_ms_total": 6.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_53fcd1bdf5f50543/cli/conversation.jsonl", + "note": "Executed through a 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_53fcd1bdf5f50543/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_53fcd1bdf5f50543/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bac75147ce96af1fdf5e4d491f4fc5fca67ad080 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_53fcd1bdf5f50543/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": "2026-05-19T15:40:02.454534+00:00", + "ended_at": "2026-05-19T15:40:21.556667+00:00", + "elapsed_ms": 19102.09, + "prompt_metrics": { + "chars": 11714, + "bytes_utf8": 11714, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1132, + "bytes_utf8": 1132, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 763, + "bytes_utf8": 763, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15600, + "cached_input_tokens": 14720, + "output_tokens": 648, + "reasoning_output_tokens": 449 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_53fcd1bdf5f50543/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_53fcd1bdf5f50543/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..09ed225118b45c994bf20f38874add8a41012020 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_53fcd1bdf5f50543/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": 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": "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_53fcd1bdf5f50543/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_53fcd1bdf5f50543/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e2ed7fd82dbc03cb32dd923daef6c4f04b61825 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_53fcd1bdf5f50543/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-e317-7540-a0b0-bc96dfd69e7a"} +{"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 tpl_m4_group_ratio_two_conditions with group_col=\\\"Class\\\" and condition_col=\\\"Class\\\" using positive_value='DERMASON' and negative_value='SIRA'. Because the grouping column and condition column are the same, most groups will produce NULL ratios due to zero denominators.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15600,"cached_input_tokens":14720,"output_tokens":648,"reasoning_output_tokens":449}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_53fcd1bdf5f50543/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_53fcd1bdf5f50543/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..16354f2e678b9aa221e2f9c24727071685923082 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_53fcd1bdf5f50543/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 tpl_m4_group_ratio_two_conditions with group_col=\"Class\" and condition_col=\"Class\" using positive_value='DERMASON' and negative_value='SIRA'. Because the grouping column and condition column are the same, most groups will produce NULL ratios due to zero denominators."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_53fcd1bdf5f50543/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_53fcd1bdf5f50543/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_573f651b0b9ac9c0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5b68af02bb0e4aca1283a7f0c76b69fece3529c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11074, "bytes_utf8": 11074, "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": 645, "bytes_utf8": 645, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15442, "cached_input_tokens": 12032, "output_tokens": 528, "reasoning_output_tokens": 352}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..426d88248c22ad38276bc12dd065c193ef37a0fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4e741e8619cd95939b131893aa2c2704cc49b126 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/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": "2026-05-19T15:44:53.490917+00:00", + "ended_at": "2026-05-19T15:45:12.419822+00:00", + "elapsed_ms": 18928.87, + "prompt_metrics": { + "chars": 11074, + "bytes_utf8": 11074, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1699, + "bytes_utf8": 1699, + "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": 645, + "bytes_utf8": 645, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15442, + "cached_input_tokens": 12032, + "output_tokens": 528, + "reasoning_output_tokens": 352 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_573f651b0b9ac9c0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2199f2241e03aa8bdaaa9249c8d3adde0a2db6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/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=Perimeter.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "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 + }, + "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_573f651b0b9ac9c0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6570c279e4b00202aeb4fbd8dbfb97ea394000b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40e9-53ed-7263-8a4b-0e008e6e5fdd"} +{"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 1984999, Requested 16077. Please try again in 32ms. 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 16077. 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(\\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15442,"cached_input_tokens":12032,"output_tokens":528,"reasoning_output_tokens":352}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..22d69adae65627452fa79b542f4a13c0a27a39ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_573f651b0b9ac9c0/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bc7012e73051c34aaa7ad604f1b8251d812e843b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10999, "bytes_utf8": 10999, "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": 422, "bytes_utf8": 422, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15402, "cached_input_tokens": 14720, "output_tokens": 336, "reasoning_output_tokens": 232}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a5b0f55c480284f7416d8677b8123c6dc68dcb83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..105290d43e2f45c048db8a1a5b742a130ed4e921 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/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": "2026-05-19T15:41:09.441811+00:00", + "ended_at": "2026-05-19T15:41:20.872729+00:00", + "elapsed_ms": 11430.88, + "prompt_metrics": { + "chars": 10999, + "bytes_utf8": 10999, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 776, + "bytes_utf8": 776, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 422, + "bytes_utf8": 422, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15402, + "cached_input_tokens": 14720, + "output_tokens": 336, + "reasoning_output_tokens": 232 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..73b3010efc4c9048202f5304533459417048784f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/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=MajorAxisLength.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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 + }, + "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_5a254a048b265795/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0dfe16540d9e13db8ba6f2c1c586adf96ec0a07c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-e8df-7e73-b22d-c9951b819eeb"} +{"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(\\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15402,"cached_input_tokens":14720,"output_tokens":336,"reasoning_output_tokens":232}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b35f6cd5a8a06e1ea338f6e0cc185f3e21d9d4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5a254a048b265795/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f0b224306e48ef77d6720b8cc4056adb4c8bb55f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11080, "bytes_utf8": 11080, "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": 547, "bytes_utf8": 547, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15445, "cached_input_tokens": 14720, "output_tokens": 435, "reasoning_output_tokens": 285}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3fc1a0cab4e2d6b38198fbfae9fe76b4ff9b2ab3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8e1a558f9b20c666b930ad13d8de6014adfe4bbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/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": "2026-05-19T15:44:01.070549+00:00", + "ended_at": "2026-05-19T15:44:15.202164+00:00", + "elapsed_ms": 14131.59, + "prompt_metrics": { + "chars": 11080, + "bytes_utf8": 11080, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 910, + "bytes_utf8": 910, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_5ce17ea803dda51d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bcb7f065dfec9ce95c4fd2955be5dcb8069d69b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/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=ShapeFactor2.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "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 + }, + "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_5ce17ea803dda51d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e0f528fd20ea8ca6970b2b16c289ba7706e0913 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-8758-7610-a9ac-07b866948a84"} +{"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(\\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15445,"cached_input_tokens":14720,"output_tokens":435,"reasoning_output_tokens":285}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfd90b579d29bc0387a4a2b307db19fcc538234e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ce17ea803dda51d/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_5cf20ecaf82abe4c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b6d28b345ab43494d0b87dc14edbef024d6e3e6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11090, "bytes_utf8": 11090, "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": 11090, "bytes_utf8": 11090, "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": 916, "bytes_utf8": 916, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15428, "cached_input_tokens": 14720, "output_tokens": 1822, "reasoning_output_tokens": 1550}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..10259294269d60654dbe775795806803b6917d72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ef3ca5c6345f548521254631c8fa192836ac2ee5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:47.583959+00:00", + "ended_at": "2026-05-19T15:52:51.011592+00:00", + "elapsed_ms": 3427.6, + "returncode": 1, + "prompt_metrics": { + "chars": 11090, + "bytes_utf8": 11090, + "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_5cf20ecaf82abe4c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7816a3ac3ad52ad26db73d9989879b5bbe166f6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/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": "2026-05-19T15:52:52.014299+00:00", + "ended_at": "2026-05-19T15:53:20.722041+00:00", + "elapsed_ms": 28707.69, + "prompt_metrics": { + "chars": 11090, + "bytes_utf8": 11090, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1367, + "bytes_utf8": 1367, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "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_5cf20ecaf82abe4c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c4e6c71ae1a2022170e30159782a63f2a68925b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/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=EquivDiameter.", + "planned_template_id": "tpl_grouped_percentile_point", + "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},\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_5cf20ecaf82abe4c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c4e6c71ae1a2022170e30159782a63f2a68925b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/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=EquivDiameter.", + "planned_template_id": "tpl_grouped_percentile_point", + "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},\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_5cf20ecaf82abe4c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee727d9d8f20540bddceb9e4c11068e352bf0f7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-8fef-7aa2-9775-de59385cac90"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_5cf20ecaf82abe4c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0cfdc1103ef692cb73d721d74f681b0ddccad8a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-8fef-7aa2-9775-de59385cac90"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_5cf20ecaf82abe4c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..60f4f856cf8235585c383b6a119ef066ccfe6535 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-a150-7cf3-87b3-775857112032"} +{"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(\\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15428,"cached_input_tokens":14720,"output_tokens":1822,"reasoning_output_tokens":1550}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..745260b5f3ddf73dff320d7cd6c71349a0be152a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/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_5cf20ecaf82abe4c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5cf20ecaf82abe4c/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_5e347a1024790ebd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5e347a1024790ebd/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4970743aa5a4839f30a83c272f2911d5efe4e293 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5e347a1024790ebd/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10904, "bytes_utf8": 10904, "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": 378, "bytes_utf8": 378, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15392, "cached_input_tokens": 12032, "output_tokens": 239, "reasoning_output_tokens": 138}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5e347a1024790ebd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5e347a1024790ebd/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e3a0bca3ed9b9cf66b2b410443ff40f508d793be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5e347a1024790ebd/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_5e347a1024790ebd", + "api_calls": 0, + "input_tokens": 15392, + "cached_input_tokens": 12032, + "output_tokens": 239, + "total_tokens": 15631, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10170.82, + "sql_execution_elapsed_ms_total": 10.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5e347a1024790ebd/cli/conversation.jsonl", + "note": "Executed through a 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_5e347a1024790ebd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5e347a1024790ebd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c08fead4c61b9d80c1c5593aa62debb2a2e2d787 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5e347a1024790ebd/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:11.515559+00:00", + "ended_at": "2026-05-19T15:30:21.686406+00:00", + "elapsed_ms": 10170.82, + "prompt_metrics": { + "chars": 10904, + "bytes_utf8": 10904, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 732, + "bytes_utf8": 732, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 378, + "bytes_utf8": 378, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15392, + "cached_input_tokens": 12032, + "output_tokens": 239, + "reasoning_output_tokens": 138 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_5e347a1024790ebd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5e347a1024790ebd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c339d5cb8ea29785ab9b0b59019c53a411aeb68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5e347a1024790ebd/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=Eccentricity.", + "planned_template_id": "tpl_h2o_group_sum", + "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}, 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_5e347a1024790ebd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5e347a1024790ebd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b64fcc5145cfce8b2be6b0a86319fbe7b4873a9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5e347a1024790ebd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-ded8-79f2-95ca-8f4f9c18c374"} +{"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(\\\"Eccentricity\\\" 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=\\\"Eccentricity\\\". CAST to REAL is included because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15392,"cached_input_tokens":12032,"output_tokens":239,"reasoning_output_tokens":138}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5e347a1024790ebd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5e347a1024790ebd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b048051a9fd88400b1beb881aff1a644e108cbe9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5e347a1024790ebd/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Class\", SUM(CAST(\"Eccentricity\" 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=\"Eccentricity\". CAST to REAL is included because the schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5e347a1024790ebd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5e347a1024790ebd/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..44f0bc2f76174931b19881fd1a25c4b1325b0070 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10856, "bytes_utf8": 10856, "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": 343, "bytes_utf8": 343, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15381, "cached_input_tokens": 12032, "output_tokens": 595, "reasoning_output_tokens": 493}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..55e27ffad89b7266ccbe23bf40007bec781cd08b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..65544161aab0b031da390437a339a8d7c8241c30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:18.067297+00:00", + "ended_at": "2026-05-19T16:00:30.258293+00:00", + "elapsed_ms": 12190.97, + "prompt_metrics": { + "chars": 10856, + "bytes_utf8": 10856, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 687, + "bytes_utf8": 687, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_5ea9b134cdcae430/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ebf721c7045a48f7ca1813bd0a36ffc57f76e988 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/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=MajorAxisLength.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "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 + }, + "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_5ea9b134cdcae430/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..175bf208dbd44a045b9e556891db032401d4d97e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-6f93-7c21-beb2-0ecd36a57499"} +{"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(\\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15381,"cached_input_tokens":12032,"output_tokens":595,"reasoning_output_tokens":493}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e9c28ddff1d5b9b73c2e8c591c544cc65a3af64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_5ea9b134cdcae430/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_60407fc1b0368970/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_60407fc1b0368970/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..600f2ebbcda7dd64121851065bb4fa1b212f476f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_60407fc1b0368970/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10985, "bytes_utf8": 10985, "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": 394, "bytes_utf8": 394, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15401, "cached_input_tokens": 14720, "output_tokens": 339, "reasoning_output_tokens": 238}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_60407fc1b0368970/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_60407fc1b0368970/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..73fbf0559c34515288cb451ac75214f2fd054ac8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_60407fc1b0368970/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_60407fc1b0368970", + "api_calls": 0, + "input_tokens": 15401, + "cached_input_tokens": 14720, + "output_tokens": 339, + "total_tokens": 15740, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16447.79, + "sql_execution_elapsed_ms_total": 23.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_60407fc1b0368970/cli/conversation.jsonl", + "note": "Executed through a 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_60407fc1b0368970/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_60407fc1b0368970/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2434f463dc366b3610162bdfe113bbe4ae212902 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_60407fc1b0368970/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:53.324409+00:00", + "ended_at": "2026-05-19T15:43:09.772233+00:00", + "elapsed_ms": 16447.79, + "prompt_metrics": { + "chars": 10985, + "bytes_utf8": 10985, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1414, + "bytes_utf8": 1414, + "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": 394, + "bytes_utf8": 394, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15401, + "cached_input_tokens": 14720, + "output_tokens": 339, + "reasoning_output_tokens": 238 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_60407fc1b0368970/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_60407fc1b0368970/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..46d196d205f0e0365f347992de471ef8d190baec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_60407fc1b0368970/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 ranked_signal_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": 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 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_60407fc1b0368970/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_60407fc1b0368970/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9cceed76473cdaf07b920eeea79a7e8685b42064 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_60407fc1b0368970/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40e7-7ea9-79d2-aef0-4274ad1b37b1"} +{"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 1995722, Requested 16036. Please try again in 352ms. 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(\\\"ConvexArea\\\" AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS avg_measure\\nFROM \\\"n10\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Used the Window Partition Average template with group_col=\\\"Class\\\" and measure_col=\\\"ConvexArea\\\". CAST to REAL is applied because the schema stores numeric values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15401,"cached_input_tokens":14720,"output_tokens":339,"reasoning_output_tokens":238}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_60407fc1b0368970/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_60407fc1b0368970/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5da705681a16ac5bc41ff70b945b423cd9c61c91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_60407fc1b0368970/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":"Used the Window Partition Average template with group_col=\"Class\" and measure_col=\"ConvexArea\". CAST to REAL is applied 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_60407fc1b0368970/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_60407fc1b0368970/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_614b210b268234a1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c04b02c124a733d95672b36583ea5e43c695b563 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11450, "bytes_utf8": 11450, "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": 590, "bytes_utf8": 590, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15524, "cached_input_tokens": 14720, "output_tokens": 403, "reasoning_output_tokens": 244}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f8e72920a0a6d5c5a14315af7e00563158613c74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8ff52946c03c915babff6a220290f3e28f925466 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:45:53.977341+00:00", + "ended_at": "2026-05-19T15:46:05.598445+00:00", + "elapsed_ms": 11621.07, + "prompt_metrics": { + "chars": 11450, + "bytes_utf8": 11450, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 961, + "bytes_utf8": 961, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_614b210b268234a1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4193bafac7309824831aeca5d121d0cc2ace3ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/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=Extent.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_614b210b268234a1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..730caa3be60b513d3ded22bf30d83ec5fcdf44b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-4031-76b0-ac69-ca0703a6258c"} +{"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 * 0.05\\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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15524,"cached_input_tokens":14720,"output_tokens":403,"reasoning_output_tokens":244}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6721a4b659cb4cd71b0fa8699f3e76ed3e993d17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/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 * 0.05\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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_614b210b268234a1/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_64c48663725f74f4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1572544a682cba51dd56e0692116869ccfd7e2ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/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": 1612, "bytes_utf8": 1612, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15428, "cached_input_tokens": 14720, "output_tokens": 2442, "reasoning_output_tokens": 1888}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0de0f03b05211ce2d3219e086a005ebba9289f60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7e7dca30d59b1297de254f15df8076bcf52ba6ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/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": "2026-05-19T15:56:07.466161+00:00", + "ended_at": "2026-05-19T15:56:48.493639+00:00", + "elapsed_ms": 41027.45, + "prompt_metrics": { + "chars": 11084, + "bytes_utf8": 11084, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2476, + "bytes_utf8": 2478, + "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": 1612, + "bytes_utf8": 1612, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15428, + "cached_input_tokens": 14720, + "output_tokens": 2442, + "reasoning_output_tokens": 1888 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_64c48663725f74f4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1506a41b3cf2f687e4627b580c02fddb7ae2773 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/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=ShapeFactor1.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_64c48663725f74f4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..27c88434d78a96b59a5ad20aa48fb4b904c27dec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40f3-9cc2-7583-aecc-dd22bb0ed79d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"I’m mapping the unsupported percentile template to a SQLite-safe equivalent using window functions and interpolation, with the required `Class` and `ShapeFactor1` bindings."}} +{"type":"item.completed","item":{"id":"item_1","type":"agent_message","text":"{\"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 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;\",\"notes\":\"SQLite-compatible emulation of PERCENTILE_CONT(0.95) per \\\"Class\\\" using linear interpolation; casts \\\"ShapeFactor1\\\" from TEXT to REAL and excludes NULLs.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15428,"cached_input_tokens":14720,"output_tokens":2442,"reasoning_output_tokens":1888}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8286cd9ced1f1b07ba2d4812841e3445b25c6e88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/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(\"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;","notes":"SQLite-compatible emulation of PERCENTILE_CONT(0.95) per \"Class\" using linear interpolation; casts \"ShapeFactor1\" from TEXT to REAL and excludes NULLs."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_64c48663725f74f4/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_685a254827f9ac3c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..39f0b60f8719ce7917b4eb5c31ffd6f368cf60a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10900, "bytes_utf8": 10900, "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": 343, "bytes_utf8": 343, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15390, "cached_input_tokens": 12032, "output_tokens": 221, "reasoning_output_tokens": 128}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..57c160349afe8c581eec1678c181cf3d891edccb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..39e95688b1254fa762373ee38f5b2c6d8ed342d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:29.724472+00:00", + "ended_at": "2026-05-19T15:30:47.300692+00:00", + "elapsed_ms": 17576.18, + "prompt_metrics": { + "chars": 10900, + "bytes_utf8": 10900, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1030, + "bytes_utf8": 1030, + "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": 343, + "bytes_utf8": 343, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 221, + "reasoning_output_tokens": 128 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_685a254827f9ac3c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d132feb0d04d6bfa3c0fe45cd375d50f453c033 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/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=ConvexArea.", + "planned_template_id": "tpl_h2o_group_sum", + "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}, 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_685a254827f9ac3c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b30097eba2dc8cfa4f54473b6159ba51a73b8f05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40dc-25d8-7e03-ab93-8122688a8c2e"} +{"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(\\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15390,"cached_input_tokens":12032,"output_tokens":221,"reasoning_output_tokens":128}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b92f11c1163fea0eca8b858f626b01af9d668f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_685a254827f9ac3c/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_6a3713945955a545/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6a3713945955a545/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e5b4d373e19d06cf088fba737edbf2613a590e6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6a3713945955a545/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": 659, "bytes_utf8": 659, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15600, "cached_input_tokens": 12032, "output_tokens": 424, "reasoning_output_tokens": 246}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6a3713945955a545/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6a3713945955a545/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9c50b43c188e113ec0a43f132f3cedf1c49162ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6a3713945955a545/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_6a3713945955a545", + "api_calls": 0, + "input_tokens": 15600, + "cached_input_tokens": 12032, + "output_tokens": 424, + "total_tokens": 16024, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10008.59, + "sql_execution_elapsed_ms_total": 13.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6a3713945955a545/cli/conversation.jsonl", + "note": "Executed through a 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_6a3713945955a545/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6a3713945955a545/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ef791fce47fb5f0376ffed22fa6b7400286f2c99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6a3713945955a545/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": "2026-05-19T15:39:38.976667+00:00", + "ended_at": "2026-05-19T15:39:48.985303+00:00", + "elapsed_ms": 10008.59, + "prompt_metrics": { + "chars": 11714, + "bytes_utf8": 11714, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1028, + "bytes_utf8": 1028, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 659, + "bytes_utf8": 659, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15600, + "cached_input_tokens": 12032, + "output_tokens": 424, + "reasoning_output_tokens": 246 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_6a3713945955a545/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6a3713945955a545/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..418afa7984a756a6ee82531c0f0167ac753a723b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6a3713945955a545/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": 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 + }, + "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_6a3713945955a545/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6a3713945955a545/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7bb85e37961d59683de7b45713f5753eaecf6dc5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6a3713945955a545/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-8766-7f61-89ef-297927553493"} +{"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 planned template exactly with group_col=\\\"Class\\\" and condition_col=\\\"Class\\\", using 'DERMASON' as the numerator condition and 'SIRA' as the denominator condition.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15600,"cached_input_tokens":12032,"output_tokens":424,"reasoning_output_tokens":246}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6a3713945955a545/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6a3713945955a545/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3389f9e2779d24b467f3120af0ec24065907dd66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6a3713945955a545/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 planned template exactly with group_col=\"Class\" and condition_col=\"Class\", using 'DERMASON' as the numerator condition and 'SIRA' as the denominator condition."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6a3713945955a545/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6a3713945955a545/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bae56228d6c97f03b31d283986331cac8c167615 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11147, "bytes_utf8": 11147, "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": 353, "bytes_utf8": 353, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15452, "cached_input_tokens": 12032, "output_tokens": 255, "reasoning_output_tokens": 156}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a6af10fdf65a06402b876b4345aabf9bee4282bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..62aac64f37d081977680174b814da65cc704942b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/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": "2026-05-19T15:58:53.280349+00:00", + "ended_at": "2026-05-19T15:59:01.383612+00:00", + "elapsed_ms": 8103.23, + "prompt_metrics": { + "chars": 11147, + "bytes_utf8": 11147, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 708, + "bytes_utf8": 708, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 353, + "bytes_utf8": 353, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15452, + "cached_input_tokens": 12032, + "output_tokens": 255, + "reasoning_output_tokens": 156 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_6c3066f301f60d9a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9a312b6c77eda41607d60dd129063dc4c75148b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/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": 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 + }, + "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_6c3066f301f60d9a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..67f43ed07fbb27af145e3083d0b1152ca3ea17ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-2496-7321-a947-2a15a8b4ab95"} +{"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 Grouped Condition Rate template with group_col=\\\"Class\\\" and condition_col=\\\"Class\\\", using condition_value='SIRA'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15452,"cached_input_tokens":12032,"output_tokens":255,"reasoning_output_tokens":156}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..97b7fd517f4f0860df033fe3cab4989a635d9264 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/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 Grouped Condition Rate template with group_col=\"Class\" and condition_col=\"Class\", using 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_6c3066f301f60d9a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c3066f301f60d9a/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_6c5946ee0e8dca68/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..641889b06146e7ae7223a742ee11c32725cfff66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11303, "bytes_utf8": 11303, "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": 607, "bytes_utf8": 607, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15506, "cached_input_tokens": 12032, "output_tokens": 647, "reasoning_output_tokens": 476}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b17fb9764f0267803e2549a3b282be7d69c83a25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3a24c4b9afad744016cd6fbe74b9a389aa6dab06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:33:58.895148+00:00", + "ended_at": "2026-05-19T15:34:12.732297+00:00", + "elapsed_ms": 13837.11, + "prompt_metrics": { + "chars": 11303, + "bytes_utf8": 11303, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 989, + "bytes_utf8": 989, + "lines": 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": 15506, + "cached_input_tokens": 12032, + "output_tokens": 647, + "reasoning_output_tokens": 476 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_6c5946ee0e8dca68/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..496f939750cfb895cced66df8126f5c5012e7453 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/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=Solidity.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_6c5946ee0e8dca68/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..27521508dc9f5461b6029c9d90efc1748d94b895 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-56fd-7011-8641-f19a93e6abca"} +{"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 \\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15506,"cached_input_tokens":12032,"output_tokens":647,"reasoning_output_tokens":476}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae85e84d790d50fd468a6b18118c1e782510590a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6c5946ee0e8dca68/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_6d52dd6603dbcb90/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f88a495e1bb697764157faef0d86ce8f1a7d0231 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11300, "bytes_utf8": 11300, "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": 638, "bytes_utf8": 638, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15504, "cached_input_tokens": 12032, "output_tokens": 1186, "reasoning_output_tokens": 1002}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..07c5f752c9758e922a28e404c348afc29bda8098 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9ba945acb4cdea6a3c421fdd46ec32151661d75e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:33:35.953606+00:00", + "ended_at": "2026-05-19T15:33:58.838666+00:00", + "elapsed_ms": 22885.04, + "prompt_metrics": { + "chars": 11300, + "bytes_utf8": 11300, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1033, + "bytes_utf8": 1033, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 638, + "bytes_utf8": 638, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15504, + "cached_input_tokens": 12032, + "output_tokens": 1186, + "reasoning_output_tokens": 1002 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_6d52dd6603dbcb90/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba8eb70f5bc09b26d8bb22266caa4be3fe6e3ab5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/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=Extent.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_6d52dd6603dbcb90/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..624ae7a7f4bd9894cd9fdb9871462b049c9fe30d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-fd48-7a93-b0ef-94b59ccafaf2"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15504,"cached_input_tokens":12032,"output_tokens":1186,"reasoning_output_tokens":1002}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..41aef2fe695f1c5b96f0d2879cfb761daed66eb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6d52dd6603dbcb90/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..171df69dcc1f4caa9db545e240607598bf3cdf55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10985, "bytes_utf8": 10985, "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": 15399, "cached_input_tokens": 14720, "output_tokens": 645, "reasoning_output_tokens": 473}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7c43f8b920054bb3281385d834655d4f1820bda9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7ab35945799793aead671e6d4eeb6fc9a16df581 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/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": "2026-05-19T15:40:50.756474+00:00", + "ended_at": "2026-05-19T15:41:09.383981+00:00", + "elapsed_ms": 18627.47, + "prompt_metrics": { + "chars": 10985, + "bytes_utf8": 10985, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1035, + "bytes_utf8": 1035, + "lines": 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": 15399, + "cached_input_tokens": 14720, + "output_tokens": 645, + "reasoning_output_tokens": 473 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_6eaed2b87eaf3fa3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1fcbac054e8ffc9d69b241c7f9c7f028911e0d77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/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=Perimeter.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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 + }, + "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_6eaed2b87eaf3fa3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e564c5a969682ca6a8875528a299b518a1e6779 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-9fd3-7993-a125-1c7890fb91ed"} +{"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(\\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15399,"cached_input_tokens":14720,"output_tokens":645,"reasoning_output_tokens":473}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b97409d92748dcb48b0ea4016d59e2f1e898b72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6eaed2b87eaf3fa3/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_6f1cb6664e08d809/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6f1cb6664e08d809/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0a0e70facbe9dacb1ec243193350b99d03fdd8b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6f1cb6664e08d809/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": 697, "bytes_utf8": 697, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15524, "cached_input_tokens": 12032, "output_tokens": 501, "reasoning_output_tokens": 304}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6f1cb6664e08d809/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6f1cb6664e08d809/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..32b0c00219072307ac37639a503da9880eb518d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6f1cb6664e08d809/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_6f1cb6664e08d809", + "api_calls": 0, + "input_tokens": 15524, + "cached_input_tokens": 12032, + "output_tokens": 501, + "total_tokens": 16025, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11488.99, + "sql_execution_elapsed_ms_total": 22.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6f1cb6664e08d809/cli/conversation.jsonl", + "note": "Executed through a 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_6f1cb6664e08d809/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6f1cb6664e08d809/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8782bb86f94c5d52b6ca49053296e5ace9a011e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6f1cb6664e08d809/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": "2026-05-19T15:46:28.923769+00:00", + "ended_at": "2026-05-19T15:46:40.412799+00:00", + "elapsed_ms": 11488.99, + "prompt_metrics": { + "chars": 11453, + "bytes_utf8": 11453, + "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": 12032, + "output_tokens": 501, + "reasoning_output_tokens": 304 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_6f1cb6664e08d809/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6f1cb6664e08d809/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..44d60136ef7f990403652755509bc4dfadbbc2b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6f1cb6664e08d809/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=roundness.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Class", + "measure_col": "roundness", + "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": 0.916869, + "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": "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_6f1cb6664e08d809/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6f1cb6664e08d809/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7ebfe301d430ef4c8cfbcb5126ae7a8618c276c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6f1cb6664e08d809/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-c8e5-7652-abbc-9b1b899c853c"} +{"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(\\\"roundness\\\" 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\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the requested Relative-to-Total Extreme Threshold template with group_col=\\\"Class\\\" and measure_col=\\\"roundness\\\". CAST(\\\"roundness\\\" AS REAL) is used because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15524,"cached_input_tokens":12032,"output_tokens":501,"reasoning_output_tokens":304}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6f1cb6664e08d809/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6f1cb6664e08d809/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a12351b09186426980ebd70d4a9cedc597cc587 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6f1cb6664e08d809/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(\"roundness\" 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\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Applied the requested Relative-to-Total Extreme Threshold template with group_col=\"Class\" and measure_col=\"roundness\". CAST(\"roundness\" AS REAL) is used because the schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6f1cb6664e08d809/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_6f1cb6664e08d809/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7a2967f0d75fddc37ea57b0c795db22f037a3acf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10805, "bytes_utf8": 10805, "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": 255, "bytes_utf8": 255, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15361, "cached_input_tokens": 14720, "output_tokens": 188, "reasoning_output_tokens": 121}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0797c47df732f34160ed3bd00009d79daaebed86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..892b015341d654aade9e8589332c2a91c9c9176d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:43.137856+00:00", + "ended_at": "2026-05-19T15:31:51.547629+00:00", + "elapsed_ms": 8409.74, + "prompt_metrics": { + "chars": 10805, + "bytes_utf8": 10805, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 601, + "bytes_utf8": 601, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_7333c5818a7a4959/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a1f75556b0e80bed36894b934e266a778eadfcf1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/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": 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}, 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_7333c5818a7a4959/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3824620912ef901fbe0d782bd8a3b995b3cb8898 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-44a4-75f0-8cb3-224b76d292c2"} +{"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\":\"Grouped count by target category \\\"Class\\\" to inspect subgroup size distribution/stability.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15361,"cached_input_tokens":14720,"output_tokens":188,"reasoning_output_tokens":121}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d093e4756b9d416fe6cda732f0e6342aa8182256 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/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":"Grouped count by target category \"Class\" to inspect subgroup size distribution/stability."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7333c5818a7a4959/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_73b62d16ef3dfd63/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f391ef67d3aedea7debbc7cf6e2ec453ed67d210 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/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": 450, "bytes_utf8": 450, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15432, "cached_input_tokens": 14720, "output_tokens": 345, "reasoning_output_tokens": 218}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7cc54a872a0427eff251229a20ca139a74604d14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6b6f265cde4dbab6780b85d0f50099af3c024a8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/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": "2026-05-19T16:04:30.404103+00:00", + "ended_at": "2026-05-19T16:04:33.623919+00:00", + "elapsed_ms": 3219.79, + "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_73b62d16ef3dfd63/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a41cac9a5f394a608a69b41514bcd063b5605792 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:34.626117+00:00", + "ended_at": "2026-05-19T16:04:44.420694+00:00", + "elapsed_ms": 9794.52, + "prompt_metrics": { + "chars": 11066, + "bytes_utf8": 11066, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 822, + "bytes_utf8": 822, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 450, + "bytes_utf8": 450, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15432, + "cached_input_tokens": 14720, + "output_tokens": 345, + "reasoning_output_tokens": 218 + } + }, + "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_73b62d16ef3dfd63/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7822de8fab9565732f6f329e3449a56ef78ee95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/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=Solidity.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "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 + }, + "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_73b62d16ef3dfd63/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7822de8fab9565732f6f329e3449a56ef78ee95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/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=Solidity.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "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 + }, + "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_73b62d16ef3dfd63/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8360effe794a444c1bfd9a93934d95888368f64c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-493a-7762-a9d2-3f06589a307a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_73b62d16ef3dfd63/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..238abf9110c49da2a93aed0cad5bd4bd40dda772 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-493a-7762-a9d2-3f06589a307a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_73b62d16ef3dfd63/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f5797d9b3e9094f87f9f5aa58fd31622ea9e562 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-59d3-76f3-9560-6e2c0a1ae378"} +{"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)) > 0.990013\\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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15432,"cached_input_tokens":14720,"output_tokens":345,"reasoning_output_tokens":218}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..871a354ae0be5bba4912160ae698ebdd80e1fef0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/sql_response_attempt_2.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)) > 0.990013\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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/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_73b62d16ef3dfd63/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_73b62d16ef3dfd63/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_76e77060ecc521f1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9b89a9798a82ecf77906915f2e8f711812633a31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10887, "bytes_utf8": 10887, "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": 10887, "bytes_utf8": 10887, "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": 302, "bytes_utf8": 302, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15398, "cached_input_tokens": 12032, "output_tokens": 202, "reasoning_output_tokens": 113}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9f9f920c95ec51640e16f0eeff2616c1ab22a969 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e8eba8224ec281733b134ec236f268ed190dcf0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/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": "2026-05-19T16:01:54.993726+00:00", + "ended_at": "2026-05-19T16:01:58.639926+00:00", + "elapsed_ms": 3646.17, + "returncode": 1, + "prompt_metrics": { + "chars": 10887, + "bytes_utf8": 10887, + "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_76e77060ecc521f1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1fd0776ce97976154f421d9c5e845a80f9707618 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/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": "2026-05-19T16:01:59.642670+00:00", + "ended_at": "2026-05-19T16:02:06.424691+00:00", + "elapsed_ms": 6781.96, + "prompt_metrics": { + "chars": 10887, + "bytes_utf8": 10887, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 659, + "bytes_utf8": 659, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "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_76e77060ecc521f1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..47be6cf3fbd95d61c459b7c4c2e07b5508487056 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/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": 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 + }, + "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_76e77060ecc521f1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..47be6cf3fbd95d61c459b7c4c2e07b5508487056 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/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": 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 + }, + "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_76e77060ecc521f1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4502d821e86ff3db9c73eeb90dc7e1854f84cdb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-ea2c-71d3-bb6a-b3312b6be801"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_76e77060ecc521f1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..880e50f3b0e01ac2d7c617dacaac9e8722b1a11a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-ea2c-71d3-bb6a-b3312b6be801"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_76e77060ecc521f1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..949b3837cbf81b562660db60c3601fec73d3365b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-fc57-7d81-b516-c043fd2500a9"} +{"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 18;\",\"notes\":\"Applied the Low-Support Group Count template with group_col fixed to \\\"Class\\\" on the single table \\\"n10\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15398,"cached_input_tokens":12032,"output_tokens":202,"reasoning_output_tokens":113}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe5b8f1a48175fd4161fbf32823f3dbf9c07d685 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/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 18;","notes":"Applied the Low-Support Group Count template with group_col fixed 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_76e77060ecc521f1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/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_76e77060ecc521f1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_76e77060ecc521f1/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f52a76ca6e3d6f13870bfaa65570a155aac7068c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10990, "bytes_utf8": 10990, "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": 405, "bytes_utf8": 405, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15401, "cached_input_tokens": 14720, "output_tokens": 248, "reasoning_output_tokens": 142}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9ceedb406cc49ea7a637387fdde979fe28836a0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..02cfdfe06a1bc8ae101be7a17fde3e1cbbd6ac98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/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": "2026-05-19T15:42:13.712924+00:00", + "ended_at": "2026-05-19T15:42:26.758797+00:00", + "elapsed_ms": 13045.84, + "prompt_metrics": { + "chars": 10990, + "bytes_utf8": 10990, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 771, + "bytes_utf8": 771, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 405, + "bytes_utf8": 405, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15401, + "cached_input_tokens": 14720, + "output_tokens": 248, + "reasoning_output_tokens": 142 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_77166c05c9f946b9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9baa0087c1d7730c0c79c49b4acec5037ec29bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/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 ranked_signal_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": 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 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_77166c05c9f946b9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4d50bccf105b209767e200a8494a9a922f8103f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-e3e9-7972-ac8a-e731e6db5fae"} +{"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 Window Partition Average template with group_col=\\\"Class\\\" and measure_col=\\\"AspectRation\\\". Cast \\\"AspectRation\\\" from TEXT to REAL for SQLite numeric averaging.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15401,"cached_input_tokens":14720,"output_tokens":248,"reasoning_output_tokens":142}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..26077916e2054a32131a5c661552e2e1bb9b3f36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/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 Window Partition Average template with group_col=\"Class\" and measure_col=\"AspectRation\". Cast \"AspectRation\" from TEXT to REAL for SQLite numeric averaging."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_77166c05c9f946b9/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_777785d1429c0753/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7c53661c89507ac8329753bd6fca9949afce1bfc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11081, "bytes_utf8": 11081, "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": 567, "bytes_utf8": 567, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15445, "cached_input_tokens": 12032, "output_tokens": 625, "reasoning_output_tokens": 463}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ba4ecf13ee34a7aa6a317336110c819eafddea8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3448314c5ab77e7992cbbe4067244c0ca5dc75c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/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": "2026-05-19T15:44:26.192002+00:00", + "ended_at": "2026-05-19T15:44:38.090405+00:00", + "elapsed_ms": 11898.38, + "prompt_metrics": { + "chars": 11081, + "bytes_utf8": 11081, + "lines": 298, + "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": 567, + "bytes_utf8": 567, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15445, + "cached_input_tokens": 12032, + "output_tokens": 625, + "reasoning_output_tokens": 463 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_777785d1429c0753/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d97e2235d61e0221f0606a3f0c4aa42fc451ea65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/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=ShapeFactor4.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "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 + }, + "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_777785d1429c0753/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f1fae4df2b8994ad6bbed81973844e1bc07b3e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-e959-7771-a139-ce9a94559629"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15445,"cached_input_tokens":12032,"output_tokens":625,"reasoning_output_tokens":463}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9e4f7b7c07d0ad8b8c5d44185c3ae339a1614da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_777785d1429c0753/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_7aefe5ed319e7497/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7aefe5ed319e7497/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..066c277a4014d5eb6fb734483084cbcdf1df9dcd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7aefe5ed319e7497/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10887, "bytes_utf8": 10887, "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": 319, "bytes_utf8": 319, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15398, "cached_input_tokens": 12288, "output_tokens": 347, "reasoning_output_tokens": 253}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7aefe5ed319e7497/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7aefe5ed319e7497/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5d9774236d442b10b3a90de2411602928d022aa2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7aefe5ed319e7497/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_7aefe5ed319e7497", + "api_calls": 0, + "input_tokens": 15398, + "cached_input_tokens": 12288, + "output_tokens": 347, + "total_tokens": 15745, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9608.75, + "sql_execution_elapsed_ms_total": 10.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7aefe5ed319e7497/cli/conversation.jsonl", + "note": "Executed through a 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_7aefe5ed319e7497/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7aefe5ed319e7497/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..188ba9af7f11156baa83d30b5cf4c9af9b4bbea0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7aefe5ed319e7497/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": "2026-05-19T16:02:38.192509+00:00", + "ended_at": "2026-05-19T16:02:47.801306+00:00", + "elapsed_ms": 9608.75, + "prompt_metrics": { + "chars": 10887, + "bytes_utf8": 10887, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 680, + "bytes_utf8": 680, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 319, + "bytes_utf8": 319, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15398, + "cached_input_tokens": 12288, + "output_tokens": 347, + "reasoning_output_tokens": 253 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_7aefe5ed319e7497/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7aefe5ed319e7497/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..423fc21e72e802f97714f082103d0e97de1b951f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7aefe5ed319e7497/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": 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": 0.00217, + "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_7aefe5ed319e7497/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7aefe5ed319e7497/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c50274ac1bddeaf4f2fb705361187112a8c32b32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7aefe5ed319e7497/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-9312-7801-b4f4-ee6a0fbc3c38"} +{"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\\\" ASC\\nLIMIT 15;\",\"notes\":\"Applied the provided Low-Support Group Count template with group_col bound to \\\"Class\\\" and top_k set to 15.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15398,"cached_input_tokens":12288,"output_tokens":347,"reasoning_output_tokens":253}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7aefe5ed319e7497/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7aefe5ed319e7497/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc70479ba082e036945185fc5ad445eea5a6edfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7aefe5ed319e7497/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\" ASC\nLIMIT 15;","notes":"Applied the provided Low-Support Group Count template with group_col bound to \"Class\" and top_k set to 15."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7aefe5ed319e7497/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7aefe5ed319e7497/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_7d33a49bb0a3671d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..efadcc5f1581a6003dc7e0ccc2bef1618ad71320 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"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": 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": 10886, "bytes_utf8": 10886, "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": 314, "bytes_utf8": 314, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15399, "cached_input_tokens": 12032, "output_tokens": 257, "reasoning_output_tokens": 163}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d7a7883b12b30bb6fb7a779cb921b21d7a5e3b22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8429a87b740779534a60e54b13755aa3d193260c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/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": "2026-05-19T16:02:06.447246+00:00", + "ended_at": "2026-05-19T16:02:09.431268+00:00", + "elapsed_ms": 2983.99, + "returncode": 1, + "prompt_metrics": { + "chars": 10886, + "bytes_utf8": 10886, + "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_7d33a49bb0a3671d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4f87b0757de9270912fbc6fa5901266e6923570a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/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": "2026-05-19T16:02:10.432913+00:00", + "ended_at": "2026-05-19T16:02:18.139325+00:00", + "elapsed_ms": 7706.38, + "prompt_metrics": { + "chars": 10886, + "bytes_utf8": 10886, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 679, + "bytes_utf8": 679, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 314, + "bytes_utf8": 314, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15399, + "cached_input_tokens": 12032, + "output_tokens": 257, + "reasoning_output_tokens": 163 + } + }, + "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_7d33a49bb0a3671d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1900f80983ef60885588642f2f87bd36789b8d8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/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": 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 + }, + "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_7d33a49bb0a3671d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1900f80983ef60885588642f2f87bd36789b8d8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/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 rare_extreme_view. Focus on group_col=Class.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_7d33a49bb0a3671d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..57051e106d3950b97adc9fbbe3645e8f5c6fec1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-16f0-7fb2-a20c-e817d8a50864"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_7d33a49bb0a3671d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..abb954e13631085b1450019f3ad4f0ab64973af5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-16f0-7fb2-a20c-e817d8a50864"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_7d33a49bb0a3671d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2fc38f76845402c940cde486266135dfd33ac057 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-2678-7981-9dfb-e51aebe73388"} +{"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 14;\",\"notes\":\"Applies the Low-Support Group Count template with group_col fixed to \\\"Class\\\" on the single table \\\"n10\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15399,"cached_input_tokens":12032,"output_tokens":257,"reasoning_output_tokens":163}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b3e94ed40cd5b97154c0d7ec9b4947af295a9a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/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 14;","notes":"Applies the Low-Support Group Count template with group_col fixed 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_7d33a49bb0a3671d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/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_7d33a49bb0a3671d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_7d33a49bb0a3671d/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_85824ca0fdea7f6f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9b45ab07e3f6c3b991df1ec8b73ee86fe1295333 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11442, "bytes_utf8": 11442, "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": 664, "bytes_utf8": 664, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15522, "cached_input_tokens": 14720, "output_tokens": 836, "reasoning_output_tokens": 645}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d2e6a7ff9735fbde65ead7aa6682d862b2b97b06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ee0361111b29f4b8f18344dbf1c16b4b748ec7bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/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": "2026-05-19T15:49:04.192534+00:00", + "ended_at": "2026-05-19T15:49:22.879736+00:00", + "elapsed_ms": 18687.16, + "prompt_metrics": { + "chars": 11442, + "bytes_utf8": 11442, + "lines": 300, + "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": 664, + "bytes_utf8": 664, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15522, + "cached_input_tokens": 14720, + "output_tokens": 836, + "reasoning_output_tokens": 645 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_85824ca0fdea7f6f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f25f681094b93db4ad2c4d625dbd629c97d2d03c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/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=Area.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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": "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_85824ca0fdea7f6f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5930b884954506fd8177c4fef034d999353d42fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-2749-76c3-8f77-e3eef74f4517"} +{"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(\\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15522,"cached_input_tokens":14720,"output_tokens":836,"reasoning_output_tokens":645}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..416522b73de48870045eafc5a1e91dad180bc67c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/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(\"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_85824ca0fdea7f6f/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_8b961cc6bf790df8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6789b2e9ccc4e9283954ed45a2c19fad5c1aac42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/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": 1728, "bytes_utf8": 1728, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15428, "cached_input_tokens": 14720, "output_tokens": 2033, "reasoning_output_tokens": 1442}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e13dbd9cce36fbe1304a6c5da251641e44b0639c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0d8fd376bd81edb877b00570ec48cb066ee1dd56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/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": "2026-05-19T15:49:56.364826+00:00", + "ended_at": "2026-05-19T15:50:29.395693+00:00", + "elapsed_ms": 33030.84, + "prompt_metrics": { + "chars": 11084, + "bytes_utf8": 11084, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2338, + "bytes_utf8": 2338, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_8b961cc6bf790df8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..57df5e4d44cc6e56f7d29e58d9e239351e5b1cea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/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=AspectRation.", + "planned_template_id": "tpl_grouped_percentile_point", + "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},\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_8b961cc6bf790df8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..be84fefa1fd483b3d4e19b164a64d07f21ad456a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-f334-7db1-9a3f-36a2da5a3ac9"} +{"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(\\\"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;\",\"notes\":\"SQLite-compatible emulation of the 90th percentile for each \\\"Class\\\" using continuous interpolation, with \\\"AspectRation\\\" cast from TEXT to REAL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15428,"cached_input_tokens":14720,"output_tokens":2033,"reasoning_output_tokens":1442}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6397a1a1f99efbffe6054c6fced62687e614b489 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/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(\"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;","notes":"SQLite-compatible emulation of the 90th percentile for each \"Class\" using continuous interpolation, with \"AspectRation\" 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_8b961cc6bf790df8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_8b961cc6bf790df8/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_908f136a6b654950/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..50ae08f0d8cc08c10f6b6495ff937485376dcadc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10915, "bytes_utf8": 10915, "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": 15390, "cached_input_tokens": 14720, "output_tokens": 395, "reasoning_output_tokens": 288}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ab15f4252acaf9f41b5ec1f8aea50bc2283d5876 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..09a8ccebc143d2a44389407975bc7e2faa7d9a46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/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": "2026-05-19T15:29:24.879600+00:00", + "ended_at": "2026-05-19T15:29:37.826245+00:00", + "elapsed_ms": 12946.62, + "prompt_metrics": { + "chars": 10915, + "bytes_utf8": 10915, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 748, + "bytes_utf8": 748, + "lines": 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": 15390, + "cached_input_tokens": 14720, + "output_tokens": 395, + "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_908f136a6b654950/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c60a20a9c5dd36dee2656ee9188657c14b1fafd5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/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": 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 + }, + "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_908f136a6b654950/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ad34ee96a2fc536c7b3989496ecd89b4c291770 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-28a4-77e1-9b52-4026e99f12e0"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15390,"cached_input_tokens":14720,"output_tokens":395,"reasoning_output_tokens":288}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..55b83b714d0f3e0b26aa46b0a69e7d6d4233db57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_908f136a6b654950/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_9350afc60af2ce30/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9350afc60af2ce30/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7237cb09c78210da670addb291559b469be45491 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9350afc60af2ce30/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10907, "bytes_utf8": 10907, "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": 385, "bytes_utf8": 385, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15392, "cached_input_tokens": 12032, "output_tokens": 307, "reasoning_output_tokens": 203}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9350afc60af2ce30/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9350afc60af2ce30/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2b47fd4d4cbe41a28ef45f9b3ff11a9092bc5faa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9350afc60af2ce30/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_9350afc60af2ce30", + "api_calls": 0, + "input_tokens": 15392, + "cached_input_tokens": 12032, + "output_tokens": 307, + "total_tokens": 15699, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8004.31, + "sql_execution_elapsed_ms_total": 11.7, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9350afc60af2ce30/cli/conversation.jsonl", + "note": "Executed through a 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_9350afc60af2ce30/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9350afc60af2ce30/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ed57c643f2c2beddfe24e5b49bbaf415fd7e6452 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9350afc60af2ce30/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:21.702044+00:00", + "ended_at": "2026-05-19T15:30:29.706376+00:00", + "elapsed_ms": 8004.31, + "prompt_metrics": { + "chars": 10907, + "bytes_utf8": 10907, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 747, + "bytes_utf8": 747, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 385, + "bytes_utf8": 385, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15392, + "cached_input_tokens": 12032, + "output_tokens": 307, + "reasoning_output_tokens": 203 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_9350afc60af2ce30/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9350afc60af2ce30/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1708d806499a3b9d5c23e720658a0e29efc62c8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9350afc60af2ce30/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=Eccentricity.", + "planned_template_id": "tpl_h2o_group_sum", + "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 + }, + "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_9350afc60af2ce30/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9350afc60af2ce30/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8f6bfa8e9ad2cfeb09b6bca0a9883dabd8eb3d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9350afc60af2ce30/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-0670-7543-8e06-7c30d2fbbc6b"} +{"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(\\\"Eccentricity\\\" 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=\\\"Eccentricity\\\". CAST to REAL is used because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15392,"cached_input_tokens":12032,"output_tokens":307,"reasoning_output_tokens":203}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9350afc60af2ce30/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9350afc60af2ce30/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d840d5cee739d7c737007cc8458a07cb1ca3c61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9350afc60af2ce30/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"Class\", SUM(CAST(\"Eccentricity\" 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=\"Eccentricity\". 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_9350afc60af2ce30/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9350afc60af2ce30/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_980feaaddfc678b6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_980feaaddfc678b6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..11bcd243107814d8d647f0b56b5d9c31d018c201 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_980feaaddfc678b6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"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": 461, "bytes_utf8": 461, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15432, "cached_input_tokens": 12032, "output_tokens": 323, "reasoning_output_tokens": 201}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_980feaaddfc678b6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_980feaaddfc678b6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a2e55f194526c7a9c51159909c57c22ec6d764fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_980feaaddfc678b6/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_980feaaddfc678b6", + "api_calls": 0, + "input_tokens": 15432, + "cached_input_tokens": 12032, + "output_tokens": 323, + "total_tokens": 15755, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8595.54, + "sql_execution_elapsed_ms_total": 11.06, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_980feaaddfc678b6/cli/conversation.jsonl", + "note": "Executed through a 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_980feaaddfc678b6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_980feaaddfc678b6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..22ff758b543cc60299a5d96184582ce757c791e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_980feaaddfc678b6/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": "2026-05-19T16:05:32.224050+00:00", + "ended_at": "2026-05-19T16:05:40.819621+00:00", + "elapsed_ms": 8595.54, + "prompt_metrics": { + "chars": 11072, + "bytes_utf8": 11072, + "lines": 300, + "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": 461, + "bytes_utf8": 461, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15432, + "cached_input_tokens": 12032, + "output_tokens": 323, + "reasoning_output_tokens": 201 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_980feaaddfc678b6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_980feaaddfc678b6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1eb55c0691121533ffb2f67e7413e5e5a306be09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_980feaaddfc678b6/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=Compactness.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "Class", + "measure_col": "Compactness", + "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": 0.820544, + "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": "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_980feaaddfc678b6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_980feaaddfc678b6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3593a240d47f796d2a049ffe0b9465d3c1d7f5f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_980feaaddfc678b6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-3ac2-7ab2-bd6b-b07c5d3e244c"} +{"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(\\\"Compactness\\\" AS REAL)) AS total_measure\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nHAVING SUM(CAST(\\\"Compactness\\\" AS REAL)) > 0.820544\\nORDER BY total_measure DESC\\nLIMIT 19;\",\"notes\":\"Applied the planned Thresholded Group Ranking template with group_col=\\\"Class\\\" and measure_col=\\\"Compactness\\\". CAST to REAL is used because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15432,"cached_input_tokens":12032,"output_tokens":323,"reasoning_output_tokens":201}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_980feaaddfc678b6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_980feaaddfc678b6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..445a781559248cd6f7bc081079505025645ffeb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_980feaaddfc678b6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_thresholded_group_ranking\nSELECT \"Class\", SUM(CAST(\"Compactness\" AS REAL)) AS total_measure\nFROM \"n10\"\nGROUP BY \"Class\"\nHAVING SUM(CAST(\"Compactness\" AS REAL)) > 0.820544\nORDER BY total_measure DESC\nLIMIT 19;","notes":"Applied the planned Thresholded Group Ranking template with group_col=\"Class\" and measure_col=\"Compactness\". 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_980feaaddfc678b6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_980feaaddfc678b6/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c9cea6ab0a9322f020d051afbf0578af8baa43a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/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": 666, "bytes_utf8": 666, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15600, "cached_input_tokens": 12032, "output_tokens": 650, "reasoning_output_tokens": 470}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..690a1113f402d179243f529a214a0a78cdb5f251 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a6e130eaa3684efa973948b03bb89b1f6061f66b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/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": "2026-05-19T15:39:49.009250+00:00", + "ended_at": "2026-05-19T15:40:02.429696+00:00", + "elapsed_ms": 13420.4, + "prompt_metrics": { + "chars": 11713, + "bytes_utf8": 11713, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1035, + "bytes_utf8": 1035, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 666, + "bytes_utf8": 666, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15600, + "cached_input_tokens": 12032, + "output_tokens": 650, + "reasoning_output_tokens": 470 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_9852ae87a04d10c9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9563f3eb595b5077174e5fdf6e14ac72c2f363a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/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": 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 + }, + "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_9852ae87a04d10c9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b931b0220b0b18470b6da6030e9bed468c7cf869 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-aeab-7611-8a77-e26f411b7336"} +{"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\\\", using 'DERMASON' as the numerator condition and 'SIRA' as the denominator condition.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15600,"cached_input_tokens":12032,"output_tokens":650,"reasoning_output_tokens":470}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d77e958ca58aab8fb5f6a78ea1d3a1e77136bae7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/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\", using 'DERMASON' as the numerator condition and 'SIRA' as the denominator condition."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9852ae87a04d10c9/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_9ad3be9125be9a72/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b201337dd890910161a83e33ea15e616bac91f19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/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": 1882, "bytes_utf8": 1882, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15426, "cached_input_tokens": 14720, "output_tokens": 1140, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3e060f844fa45c392fe52330c49e4c620e15836b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cd284200308e58c73dc04e5d0903c1bc438c685b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/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": "2026-05-19T15:55:48.961634+00:00", + "ended_at": "2026-05-19T15:56:07.388876+00:00", + "elapsed_ms": 18427.22, + "prompt_metrics": { + "chars": 11084, + "bytes_utf8": 11084, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2502, + "bytes_utf8": 2502, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_9ad3be9125be9a72/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f0e52da3a50ddfa2d4559d2ce47d2288616aa90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/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=Compactness.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_9ad3be9125be9a72/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..986a99a53cf07d9003a09c8b2d94b1313b1424ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-5476-7ce3-9b43-5abdd13f6d3b"} +{"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(\\\"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;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 percentile per \\\"Class\\\" with window functions and linear interpolation. \\\"Compactness\\\" is cast from TEXT to REAL before ordering and calculation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15426,"cached_input_tokens":14720,"output_tokens":1140,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa22bb09556052636fe6d52ec2e3ca76acf0f47a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/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(\"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;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 0.95 percentile per \"Class\" with window functions and linear interpolation. \"Compactness\" is cast from TEXT to REAL before ordering and calculation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9ad3be9125be9a72/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_9b763d78d096788d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..10fe08bb2393400ee46ff9949cf630f56e1d6b80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10914, "bytes_utf8": 10914, "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": 394, "bytes_utf8": 394, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15390, "cached_input_tokens": 12032, "output_tokens": 259, "reasoning_output_tokens": 159}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f0654cc9e05c1799b1a952f2b2b3960d1de8a54b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a0fb046433871630431f9d0fafb37a9e9679553e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/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": "2026-05-19T15:29:07.432220+00:00", + "ended_at": "2026-05-19T15:29:15.245334+00:00", + "elapsed_ms": 7813.08, + "prompt_metrics": { + "chars": 10914, + "bytes_utf8": 10914, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 748, + "bytes_utf8": 748, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 394, + "bytes_utf8": 394, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 259, + "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_9b763d78d096788d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..12c9ef9d514dfe4790d53a5535ff0f3340a4803e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/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": 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 + }, + "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_9b763d78d096788d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c958a4450ea6bc26ed42aef057ba077e3a9a268f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-e465-7683-bd13-8d0155f86aa6"} +{"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\":\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15390,"cached_input_tokens":12032,"output_tokens":259,"reasoning_output_tokens":159}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c06270e5043c625b721b3e034b7ebd18d9cdc688 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/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":"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_9b763d78d096788d/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..96bf0768264f4b7832fc7638419bac7a7c9b5384 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/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": "2026-05-19T15:54:03.250490+00:00", + "ended_at": "2026-05-19T15:54:06.417451+00:00", + "elapsed_ms": 3166.93, + "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_a1cb4d5cf527682d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..93cc432c532b927de267c6cbd6287626ef2c5459 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/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": "2026-05-19T15:54:07.419868+00:00", + "ended_at": "2026-05-19T15:54:10.287453+00:00", + "elapsed_ms": 2867.54, + "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_a1cb4d5cf527682d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7e9900063ce2715fb9036b1e7fe452bc50bc528 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/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=Solidity.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_a1cb4d5cf527682d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7e9900063ce2715fb9036b1e7fe452bc50bc528 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/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=Solidity.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_a1cb4d5cf527682d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d52454fd99d21a1415c98e19891607948584348e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-b780-7fa3-9e06-84c6ff64e409"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_a1cb4d5cf527682d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d8a400b94243f3f81dd5c27c3d9ba9f99fc8e8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-b780-7fa3-9e06-84c6ff64e409"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_a1cb4d5cf527682d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1294633efe000de4edd222219c7063b674cbf87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-c7d5-71a0-b182-e40f3d3d426e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_a1cb4d5cf527682d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1aa5abdc98ccf58597fa9024c6507cf7f33effd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-c7d5-71a0-b182-e40f3d3d426e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_a1cb4d5cf527682d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/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/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a1cb4d5cf527682d/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_a4b8a49647b3bfab/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/conversation.jsonl new file mode 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"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": 304, "bytes_utf8": 304, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15399, "cached_input_tokens": 12288, "output_tokens": 199, "reasoning_output_tokens": 110}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0b82c50796097e8ac1a0751eae8696c514ecd6d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..00b63954372a18812381d515f81ed245e0d224cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/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": "2026-05-19T16:02:47.821524+00:00", + "ended_at": "2026-05-19T16:02:50.945151+00:00", + "elapsed_ms": 3123.59, + "returncode": 1, + "prompt_metrics": { + "chars": 10886, + "bytes_utf8": 10886, + "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_a4b8a49647b3bfab/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e76880f3b5f965dcb6adc1c7423ea1bf764cf8f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/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": "2026-05-19T16:02:51.947191+00:00", + "ended_at": "2026-05-19T16:02:58.286276+00:00", + "elapsed_ms": 6339.05, + "prompt_metrics": { + "chars": 10886, + "bytes_utf8": 10886, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 657, + "bytes_utf8": 657, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "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_a4b8a49647b3bfab/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..49443a9bda39230d8885c7383ed0316b6a335644 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/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": 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 + }, + "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_a4b8a49647b3bfab/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..49443a9bda39230d8885c7383ed0316b6a335644 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/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 rare_extreme_view. Focus on group_col=Class.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "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 + }, + "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_a4b8a49647b3bfab/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..201cbd6f66c8f7035c3a4f584efe1bff43422442 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-b896-7ec0-8263-958fd4401a0b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_a4b8a49647b3bfab/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0569d68665c2651d0e4ee43491705b201c772393 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-b896-7ec0-8263-958fd4401a0b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_a4b8a49647b3bfab/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec2b3b94963c4d7864a4ac966d9cedc0f6b9b858 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-c8c6-7002-901b-d84365352da1"} +{"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 11;\",\"notes\":\"Uses the provided Low-Support Group Count template with group_col bound to \\\"Class\\\" and top_k set to 11.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15399,"cached_input_tokens":12288,"output_tokens":199,"reasoning_output_tokens":110}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..38ab697989887ec58c366649341a200ee3cc84be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/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 11;","notes":"Uses the provided Low-Support Group Count template with group_col bound to \"Class\" and top_k set to 11."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/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/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_a4b8a49647b3bfab/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_ac85b23a533e13b7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..def5b94c03a67b2facd6336d23da1a7b93e82bf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11071, "bytes_utf8": 11071, "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": 565, "bytes_utf8": 565, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15432, "cached_input_tokens": 12032, "output_tokens": 557, "reasoning_output_tokens": 407}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8742694baa3927989e581e5e7494cff0d9313d05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4e6c81fb091b955e2cc232610fbeecb24ae12ff8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/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": "2026-05-19T16:05:20.842110+00:00", + "ended_at": "2026-05-19T16:05:32.207549+00:00", + "elapsed_ms": 11365.42, + "prompt_metrics": { + "chars": 11071, + "bytes_utf8": 11071, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 938, + "bytes_utf8": 938, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_ac85b23a533e13b7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c764a01303ac764cd10885a932665b05c55facca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/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=Compactness.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "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 + }, + "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_ac85b23a533e13b7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4b19fb830f1c4f4859efa1c6240c8536151a678c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-0e7f-7eb0-9907-50555dce7d42"} +{"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(\\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15432,"cached_input_tokens":12032,"output_tokens":557,"reasoning_output_tokens":407}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..604f6707e32d5cba03ec6a9800082515d76c2787 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ac85b23a533e13b7/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_b9ede2379e1d7225/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b9ede2379e1d7225/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..917a7f8ca450208f5a715da3869db8c782c3961b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b9ede2379e1d7225/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10973, "bytes_utf8": 10973, "lines": 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": 390, "bytes_utf8": 390, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15397, "cached_input_tokens": 14720, "output_tokens": 247, "reasoning_output_tokens": 149}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b9ede2379e1d7225/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b9ede2379e1d7225/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..dd4168276582a67e16aa6840f421d5c59c81da40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b9ede2379e1d7225/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_b9ede2379e1d7225", + "api_calls": 0, + "input_tokens": 15397, + "cached_input_tokens": 14720, + "output_tokens": 247, + "total_tokens": 15644, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7458.4, + "sql_execution_elapsed_ms_total": 35.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b9ede2379e1d7225/cli/conversation.jsonl", + "note": "Executed through a 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_b9ede2379e1d7225/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b9ede2379e1d7225/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9142b1f3b3a421981411898bc1eabe2104cefd38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b9ede2379e1d7225/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": "2026-05-19T15:40:35.221282+00:00", + "ended_at": "2026-05-19T15:40:42.679709+00:00", + "elapsed_ms": 7458.4, + "prompt_metrics": { + "chars": 10973, + "bytes_utf8": 10973, + "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": 390, + "bytes_utf8": 390, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15397, + "cached_input_tokens": 14720, + "output_tokens": 247, + "reasoning_output_tokens": 149 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_b9ede2379e1d7225/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b9ede2379e1d7225/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..00996c23f3b6ed747c192eb0854d06ac73b40b38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b9ede2379e1d7225/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 ranked_signal_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": 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": 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 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_b9ede2379e1d7225/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b9ede2379e1d7225/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..46ff0ce3666674aaa64ca7f0b8640e00ac2f8497 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b9ede2379e1d7225/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-6331-7a62-92e6-f8349b10f942"} +{"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\":\"Applied the Window Partition Average template with group_col=\\\"Class\\\" and measure_col=\\\"Area\\\". CAST to REAL is used because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15397,"cached_input_tokens":14720,"output_tokens":247,"reasoning_output_tokens":149}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b9ede2379e1d7225/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b9ede2379e1d7225/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..924629a044ed727ef9705466c270641094a18375 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b9ede2379e1d7225/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":"Applied the Window Partition Average template with group_col=\"Class\" and measure_col=\"Area\". 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_b9ede2379e1d7225/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_b9ede2379e1d7225/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5c00cf1ccaa4258f97b533f4fb2922e0d7d33f35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10831, "bytes_utf8": 10831, "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": 370, "bytes_utf8": 370, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15377, "cached_input_tokens": 14720, "output_tokens": 315, "reasoning_output_tokens": 208}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..81e4531c601bce5b24be559009f84186e9dead07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5626fbc9e15c3daf7b83de422ec20740c8994a8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:58.971493+00:00", + "ended_at": "2026-05-19T16:00:08.026729+00:00", + "elapsed_ms": 9055.2, + "prompt_metrics": { + "chars": 10831, + "bytes_utf8": 10831, + "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": 370, + "bytes_utf8": 370, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15377, + "cached_input_tokens": 14720, + "output_tokens": 315, + "reasoning_output_tokens": 208 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..00fe7f9ec91034fa56245ce475b801aab8575c33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/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=Area.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "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 + }, + "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_befc21030b543c69/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2543f53e7d2e2c12d80ce4c5e6bf70b3e24780d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-2508-7c60-8f36-1ce57ecaada0"} +{"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(\\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15377,"cached_input_tokens":14720,"output_tokens":315,"reasoning_output_tokens":208}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..49f65a94df37d51921364ba7632eb6b9b5234e0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_befc21030b543c69/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_bf168afbdada69ed/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf168afbdada69ed/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7d65db2bdab37d3f9b32498cca76bc0ef50d87a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf168afbdada69ed/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10999, "bytes_utf8": 10999, "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": 548, "bytes_utf8": 548, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15401, "cached_input_tokens": 14720, "output_tokens": 550, "reasoning_output_tokens": 412}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf168afbdada69ed/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf168afbdada69ed/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..46ee036de8ada1f88c49e5d080e8b4ee5ed636bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf168afbdada69ed/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_bf168afbdada69ed", + "api_calls": 0, + "input_tokens": 15401, + "cached_input_tokens": 14720, + "output_tokens": 550, + "total_tokens": 15951, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21849.82, + "sql_execution_elapsed_ms_total": 38.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf168afbdada69ed/cli/conversation.jsonl", + "note": "Executed through a 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_bf168afbdada69ed/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf168afbdada69ed/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..930fa587e152513bfbb96ba941d267b9adb67b3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf168afbdada69ed/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": "2026-05-19T15:41:43.979216+00:00", + "ended_at": "2026-05-19T15:42:05.829061+00:00", + "elapsed_ms": 21849.82, + "prompt_metrics": { + "chars": 10999, + "bytes_utf8": 10999, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1579, + "bytes_utf8": 1579, + "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": 548, + "bytes_utf8": 548, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15401, + "cached_input_tokens": 14720, + "output_tokens": 550, + "reasoning_output_tokens": 412 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_bf168afbdada69ed/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf168afbdada69ed/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa589851bee14c5e73be1a2e393f81c0170950d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf168afbdada69ed/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=MinorAxisLength.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "Class", + "measure_col": "MinorAxisLength", + "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": 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 + }, + "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_bf168afbdada69ed/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf168afbdada69ed/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a1abfcd8d67018463ce48572faa509bdce432afc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf168afbdada69ed/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40e6-6fc9-7e13-b4d7-d0b8d41a64b7"} +{"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 1988608, Requested 16036. Please try again in 139ms. 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\\n \\\"Class\\\",\\n AVG(CAST(\\\"MinorAxisLength\\\" AS REAL)) OVER (PARTITION BY \\\"Class\\\") AS avg_measure\\nFROM \\\"n10\\\"\\nWHERE \\\"Class\\\" IS NOT NULL\\n AND NULLIF(\\\"MinorAxisLength\\\", '') IS NOT NULL\\nORDER BY avg_measure DESC;\",\"notes\":\"Uses the requested window-partition-average template with group_col=\\\"Class\\\" and measure_col=\\\"MinorAxisLength\\\". CAST is applied because the schema stores numeric-looking values as TEXT, and NULL/empty values are filtered for a stable result.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15401,"cached_input_tokens":14720,"output_tokens":550,"reasoning_output_tokens":412}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf168afbdada69ed/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf168afbdada69ed/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d9fe7fee260d1e21cf35d4c07cf2ff1fa3b7105 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf168afbdada69ed/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\"\nWHERE \"Class\" IS NOT NULL\n AND NULLIF(\"MinorAxisLength\", '') IS NOT NULL\nORDER BY avg_measure DESC;","notes":"Uses the requested window-partition-average template with group_col=\"Class\" and measure_col=\"MinorAxisLength\". CAST is applied because the schema stores numeric-looking values as TEXT, and NULL/empty values are filtered for a stable result."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf168afbdada69ed/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_bf168afbdada69ed/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..20600a0d02bdedc7524d8a97dbe29a69d8ed7950 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10901, "bytes_utf8": 10901, "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": 363, "bytes_utf8": 363, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15390, "cached_input_tokens": 12032, "output_tokens": 230, "reasoning_output_tokens": 130}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8970a177de36b01d13b5d450be019b4264a89f3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a8e5901e046ef98dd3575702ff07525ca05daa2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:47.324416+00:00", + "ended_at": "2026-05-19T15:31:00.081656+00:00", + "elapsed_ms": 12757.2, + "prompt_metrics": { + "chars": 10901, + "bytes_utf8": 10901, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1054, + "bytes_utf8": 1054, + "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": 363, + "bytes_utf8": 363, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15390, + "cached_input_tokens": 12032, + "output_tokens": 230, + "reasoning_output_tokens": 130 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_c1519b87400c1abf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d535c8a29d2a7768e87d6e5330e08117f2d6a22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/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=ConvexArea.", + "planned_template_id": "tpl_h2o_group_sum", + "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 + }, + "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_c1519b87400c1abf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..07354e2854726b7bfbf088ccf40e5808a9aa3783 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40dc-6aa0-7ad2-be6e-a209e2cfd043"} +{"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(\\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15390,"cached_input_tokens":12032,"output_tokens":230,"reasoning_output_tokens":130}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f440bcaa5a911e2568754f09b9d4a2eb69d8767d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_c1519b87400c1abf/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bfd5dc5eae9f867ae488ed914271f1e40d73f1dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11445, "bytes_utf8": 11445, "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": 777, "bytes_utf8": 777, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15524, "cached_input_tokens": 14720, "output_tokens": 722, "reasoning_output_tokens": 491}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9331af24204d827bb7464cd7b9c52460f3a0f4f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..08cfa98ac91b3f47c9e3447ef06651a93a1de9f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/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": "2026-05-19T15:49:22.900718+00:00", + "ended_at": "2026-05-19T15:49:38.283888+00:00", + "elapsed_ms": 15383.14, + "prompt_metrics": { + "chars": 11445, + "bytes_utf8": 11445, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1216, + "bytes_utf8": 1216, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_cc7378bc5601eeed/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f34c2e573768b0fdd17b8642b346b3e0ed3709d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/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=Area.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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": "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_cc7378bc5601eeed/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ec1913c756d01cfd663ad33a9a1d528a7a7a3bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-7055-73b0-b693-a47905d9fbea"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15524,"cached_input_tokens":14720,"output_tokens":722,"reasoning_output_tokens":491}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..85968441b04fc50fee57d2c9ad83f9a9b754795d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cc7378bc5601eeed/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_cdc9c25da1be4002/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdc9c25da1be4002/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e1593d2dc2b3a77b400a27747371fafbfef4c70d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdc9c25da1be4002/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": 630, "bytes_utf8": 630, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15510, "cached_input_tokens": 12032, "output_tokens": 428, "reasoning_output_tokens": 253}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdc9c25da1be4002/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdc9c25da1be4002/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..111eecea4aef576a0b989aa64b2df04bdd2211f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdc9c25da1be4002/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_cdc9c25da1be4002", + "api_calls": 0, + "input_tokens": 15510, + "cached_input_tokens": 12032, + "output_tokens": 428, + "total_tokens": 15938, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9181.69, + "sql_execution_elapsed_ms_total": 67.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdc9c25da1be4002/cli/conversation.jsonl", + "note": "Executed through a 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_cdc9c25da1be4002/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdc9c25da1be4002/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..679cf50f7ab724f7c9a2b7f1dd3436db7e590e1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdc9c25da1be4002/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": "2026-05-19T15:35:19.792551+00:00", + "ended_at": "2026-05-19T15:35:28.974269+00:00", + "elapsed_ms": 9181.69, + "prompt_metrics": { + "chars": 11319, + "bytes_utf8": 11319, + "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": 15510, + "cached_input_tokens": 12032, + "output_tokens": 428, + "reasoning_output_tokens": 253 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_cdc9c25da1be4002/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdc9c25da1be4002/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a86b4fe67dec9e637eaea6c954cdd355a05cdbe2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdc9c25da1be4002/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=ShapeFactor1.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor1", + "item_col": "ShapeFactor2", + "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 {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_cdc9c25da1be4002/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdc9c25da1be4002/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..347f58b5434ee3d7b93a0f5f0f08a5d6a07380a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdc9c25da1be4002/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-92e5-7153-969c-8661ba5e561a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"ShapeFactor2\\\",\\n SUM(CAST(\\\"ShapeFactor1\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"ShapeFactor1\\\" AS REAL)) * 100.0 /\\n SUM(SUM(CAST(\\\"ShapeFactor1\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"ShapeFactor2\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"Class\\\", item_col=\\\"ShapeFactor2\\\", and measure_col=\\\"ShapeFactor1\\\". Casts \\\"ShapeFactor1\\\" to REAL because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15510,"cached_input_tokens":12032,"output_tokens":428,"reasoning_output_tokens":253}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdc9c25da1be4002/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdc9c25da1be4002/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..489854ecbb928a155282a8509a5bf633d1567250 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdc9c25da1be4002/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Class\", \"ShapeFactor2\",\n SUM(CAST(\"ShapeFactor1\" AS REAL)) AS total_measure,\n SUM(CAST(\"ShapeFactor1\" AS REAL)) * 100.0 /\n SUM(SUM(CAST(\"ShapeFactor1\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"ShapeFactor2\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"Class\", item_col=\"ShapeFactor2\", and measure_col=\"ShapeFactor1\". Casts \"ShapeFactor1\" 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_cdc9c25da1be4002/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_cdc9c25da1be4002/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_d428f60641c50489/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0574ba754d539fdfe0d7ebbca7ab0c651424110c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/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": 345, "bytes_utf8": 345, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15399, "cached_input_tokens": 14720, "output_tokens": 270, "reasoning_output_tokens": 174}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d5110011da938a29/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d5110011da938a29/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..46c5bc2a2baabf6d5a14c639c176f8b99d83381c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d5110011da938a29/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": 805, "bytes_utf8": 805, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15509, "cached_input_tokens": 14720, "output_tokens": 1201, "reasoning_output_tokens": 976}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d5110011da938a29/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d5110011da938a29/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..24a578cb3876ccfe60fb8b8d7697c191bf95be6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d5110011da938a29/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_d5110011da938a29", + "api_calls": 0, + "input_tokens": 15509, + "cached_input_tokens": 14720, + "output_tokens": 1201, + "total_tokens": 16710, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 24464.0, + "sql_execution_elapsed_ms_total": 48.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d5110011da938a29/cli/conversation.jsonl", + "note": "Executed through a 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_d5110011da938a29/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d5110011da938a29/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..70949021ba4128fd81564922155b6d7642a37d65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d5110011da938a29/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": "2026-05-19T15:35:29.047703+00:00", + "ended_at": "2026-05-19T15:35:53.511727+00:00", + "elapsed_ms": 24464.0, + "prompt_metrics": { + "chars": 11316, + "bytes_utf8": 11316, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1210, + "bytes_utf8": 1210, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 805, + "bytes_utf8": 805, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15509, + "cached_input_tokens": 14720, + "output_tokens": 1201, + "reasoning_output_tokens": 976 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_d5110011da938a29/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d5110011da938a29/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e71ee08ec1d147f19d5ccbccb646c52b6ec98e19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d5110011da938a29/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=ShapeFactor1.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Class", + "measure_col": "ShapeFactor1", + "item_col": "ShapeFactor2", + "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": 0.006999, + "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}, {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_d5110011da938a29/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d5110011da938a29/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..163f8b01b45483af86bd08755df8660890bbfd3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d5110011da938a29/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-b715-7440-80a3-17cb46d13c41"} +{"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 \\\"ShapeFactor2\\\",\\n total_measure,\\n total_measure * 100.0 / SUM(total_measure) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM (\\n SELECT\\n \\\"Class\\\",\\n \\\"ShapeFactor2\\\",\\n SUM(CAST(\\\"ShapeFactor1\\\" AS REAL)) AS total_measure\\n FROM \\\"n10\\\"\\n WHERE \\\"Class\\\" IS NOT NULL\\n AND \\\"ShapeFactor2\\\" IS NOT NULL\\n AND \\\"ShapeFactor1\\\" IS NOT NULL\\n GROUP BY \\\"Class\\\", \\\"ShapeFactor2\\\"\\n)\\nORDER BY share_within_group DESC\\nLIMIT 18;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"Class\\\", item_col=\\\"ShapeFactor2\\\", and measure_col=\\\"ShapeFactor1\\\". CAST is used because the schema stores numeric-looking values as TEXT, and LIMIT 18 follows the provided top_k binding.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15509,"cached_input_tokens":14720,"output_tokens":1201,"reasoning_output_tokens":976}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d5110011da938a29/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d5110011da938a29/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d705cc41ead3bdc53fdd2ee95e6b7cbac8c6f7d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d5110011da938a29/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"Class\",\n \"ShapeFactor2\",\n total_measure,\n total_measure * 100.0 / SUM(total_measure) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM (\n SELECT\n \"Class\",\n \"ShapeFactor2\",\n SUM(CAST(\"ShapeFactor1\" AS REAL)) AS total_measure\n FROM \"n10\"\n WHERE \"Class\" IS NOT NULL\n AND \"ShapeFactor2\" IS NOT NULL\n AND \"ShapeFactor1\" IS NOT NULL\n GROUP BY \"Class\", \"ShapeFactor2\"\n)\nORDER BY share_within_group DESC\nLIMIT 18;","notes":"Applied the Within-Group Share of Total template with group_col=\"Class\", item_col=\"ShapeFactor2\", and measure_col=\"ShapeFactor1\". CAST is used because the schema stores numeric-looking values as TEXT, and LIMIT 18 follows 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_d5110011da938a29/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d5110011da938a29/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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f55d0898ea5e80cf574e8547146b08b4931fbb15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/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": "2026-05-19T16:04:13.850264+00:00", + "ended_at": "2026-05-19T16:04:16.823762+00:00", + "elapsed_ms": 2973.48, + "returncode": 1, + "prompt_metrics": { + "chars": 11060, + "bytes_utf8": 11060, + "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_d6084ed8ea94db0e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c6dc113fee5b7972f0ccce6c79faf3aa1832c6d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/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": "2026-05-19T16:04:17.825524+00:00", + "ended_at": "2026-05-19T16:04:21.006977+00:00", + "elapsed_ms": 3181.42, + "returncode": 1, + "prompt_metrics": { + "chars": 11060, + "bytes_utf8": 11060, + "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_d6084ed8ea94db0e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c0e68854a3a7b8ae2ff28f21742620a51f4a935 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/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=Extent.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "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 + }, + "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_d6084ed8ea94db0e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c0e68854a3a7b8ae2ff28f21742620a51f4a935 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/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=Extent.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "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 + }, + "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_d6084ed8ea94db0e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfbe623824593028b5998b70a3ef1ef8b06286ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-088d-7a40-9e0f-8b36dfec37be"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_d6084ed8ea94db0e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fed0613ba8c9b215b6863b1542ecf1f4cb3f2c09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-088d-7a40-9e0f-8b36dfec37be"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_d6084ed8ea94db0e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..da4d95b82a588616dbb98a2c31b13db412d25c19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-181b-7fa2-86ce-b62ccc301ec2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_d6084ed8ea94db0e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..63b2112e37545b18cc8774d318b6c938d3f07113 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-181b-7fa2-86ce-b62ccc301ec2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_d6084ed8ea94db0e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/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/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d6084ed8ea94db0e/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_d62570d8df9fa675/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a46c8dfd1b203c5f0e9df5db72a75d6bb40329b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11070, "bytes_utf8": 11070, "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": 433, "bytes_utf8": 433, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15433, "cached_input_tokens": 12032, "output_tokens": 437, "reasoning_output_tokens": 314}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1970c06ca739e0a0d2ec3f1f1c2cf82f5ce6221a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b7b916ac73af252d3b928f7695974779b7178d1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/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": "2026-05-19T16:05:10.644655+00:00", + "ended_at": "2026-05-19T16:05:20.826803+00:00", + "elapsed_ms": 10182.12, + "prompt_metrics": { + "chars": 11070, + "bytes_utf8": 11070, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 805, + "bytes_utf8": 805, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_d62570d8df9fa675/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1290c193cd3a350562c72e3b4d48e85df7ff0704 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/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=roundness.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "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 + }, + "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_d62570d8df9fa675/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..84feaff9a9434723fd21a07d3ca67a61bab2a463 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-e68f-73b3-b5b0-e04910cf8abc"} +{"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)) > 0.905212\\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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15433,"cached_input_tokens":12032,"output_tokens":437,"reasoning_output_tokens":314}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6893af17b7fd096db626b206791a23368aa24896 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/cli/sql_response_attempt_1.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)) > 0.905212\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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d62570d8df9fa675/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_d63185f31f95cf85/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..99281d2f0ccd7559b47862b2c4bea27901e5d006 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/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": 270, "bytes_utf8": 270, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15361, "cached_input_tokens": 12032, "output_tokens": 215, "reasoning_output_tokens": 139}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..87a77e2cc7e17069afcbf49d310dead27bae3bab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6080d9d5aaa72ca20d0044cbb9194623ee81c49a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/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": "2026-05-19T15:31:59.566230+00:00", + "ended_at": "2026-05-19T15:32:22.625845+00:00", + "elapsed_ms": 23059.58, + "prompt_metrics": { + "chars": 10806, + "bytes_utf8": 10806, + "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": 270, + "bytes_utf8": 270, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15361, + "cached_input_tokens": 12032, + "output_tokens": 215, + "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_d63185f31f95cf85/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4efba72dc130e6b124eefd9b8eeb0d30227bd0ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/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": 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 + }, + "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_d63185f31f95cf85/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..23e9e776cef2d9a4da045d788dc5f15e3ad84c5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,8 @@ +{"type":"thread.started","thread_id":"019e40dd-84ec-7090-97ae-578c1dac5d9d"} +{"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 1997091, Requested 15996. Please try again in 392ms. 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 1998981, Requested 15996. Please try again in 449ms. 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 by Category template with group_col bound to \\\"Class\\\" on the single table \\\"n10\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15361,"cached_input_tokens":12032,"output_tokens":215,"reasoning_output_tokens":139}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e044b0ce7b3d5109575dbd1cac83f1284930041c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/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 by Category 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_d63185f31f95cf85/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d63185f31f95cf85/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_d77b742b67cb6fd0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2288fb770ee000e6e5677002754ef23d08842b15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/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": 967, "bytes_utf8": 967, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15426, "cached_input_tokens": 14720, "output_tokens": 792, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..021f79275ea373e9adf1bf413796ca1591ff2855 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c18d0a300082d7db9da9d00b48c408b2c65dda56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/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": "2026-05-19T15:54:37.024950+00:00", + "ended_at": "2026-05-19T15:54:40.236640+00:00", + "elapsed_ms": 3211.67, + "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_d77b742b67cb6fd0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cd8b43e03ab99519155d67a7442e817bf8ace197 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/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": "2026-05-19T15:54:41.238865+00:00", + "ended_at": "2026-05-19T15:55:05.066666+00:00", + "elapsed_ms": 23827.75, + "prompt_metrics": { + "chars": 11078, + "bytes_utf8": 11078, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1406, + "bytes_utf8": 1406, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "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_d77b742b67cb6fd0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c7a02b53152a269c06a94a8734e114e76c2434c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/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=roundness.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_d77b742b67cb6fd0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c7a02b53152a269c06a94a8734e114e76c2434c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/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=roundness.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_d77b742b67cb6fd0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e59758f7793bb7a525a154b6716d69478c1adf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-3b7a-7343-9fb8-9e8ac4e10e7c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_d77b742b67cb6fd0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f21569138b687147cbd3c1c295ceea8ebd7249d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-3b7a-7343-9fb8-9e8ac4e10e7c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_d77b742b67cb6fd0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1de0e56bdc69456c40793e2ac5651ee79d24e704 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-4be1-7551-9d4e-f341a2fba5b6"} +{"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(\\\"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).\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15426,"cached_input_tokens":14720,"output_tokens":792,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2238c81d8cf8f84516c58a16f1fcc3f916e9ebf8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"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)."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/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_d77b742b67cb6fd0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d77b742b67cb6fd0/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_d787496c4d64aa7b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1c91d375b6c9bc1bd7df121f0d8e173f89380885 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10901, "bytes_utf8": 10901, "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": 360, "bytes_utf8": 360, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15388, "cached_input_tokens": 12032, "output_tokens": 266, "reasoning_output_tokens": 172}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d7e6a25a10b50a3c7889d55a40078957cacb7515 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b1a597c34e2213dbf8f2efbc2ac27bf1a7b0a548 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/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": "2026-05-19T15:28:44.184144+00:00", + "ended_at": "2026-05-19T15:28:52.805713+00:00", + "elapsed_ms": 8621.54, + "prompt_metrics": { + "chars": 10901, + "bytes_utf8": 10901, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 714, + "bytes_utf8": 714, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_d787496c4d64aa7b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..696e28eae8805a9fed52962cdf10aa983d6371a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/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": 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 + }, + "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_d787496c4d64aa7b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..906c8604d222d821a25038ad26f48abf914f876a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-899b-7721-adb3-35e410dc4d34"} +{"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\":\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15388,"cached_input_tokens":12032,"output_tokens":266,"reasoning_output_tokens":172}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1cc50874dc34b0507977ee8d67651b69d78b98d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/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":"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d787496c4d64aa7b/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_dafbc827945129aa/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b3bb85ad7171992dc1a42000ac51ecaca4e2418d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/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": 453, "bytes_utf8": 453, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15451, "cached_input_tokens": 14720, "output_tokens": 462, "reasoning_output_tokens": 336}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7e61a629c40d68208ebe6ea2b776be4468bbee57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b76d1de97d5ce650c9395ec065a2b3dfeed76914 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/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": "2026-05-19T15:59:08.829139+00:00", + "ended_at": "2026-05-19T15:59:18.879458+00:00", + "elapsed_ms": 10050.28, + "prompt_metrics": { + "chars": 11150, + "bytes_utf8": 11150, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 816, + "bytes_utf8": 816, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_dafbc827945129aa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e03a6afb2a3e555112c6c9a635b8a2d3e474c7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/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": 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 + }, + "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_dafbc827945129aa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e6cab58148a7b9ee66cea2496d9680cb4e3aa30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-6116-7852-800e-8120ca749c6e"} +{"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\\\". Because the grouping and condition use the same column, the SIRA group returns 1.0 and all other groups return 0.0.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15451,"cached_input_tokens":14720,"output_tokens":462,"reasoning_output_tokens":336}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7682c96927d1b8d5234b30524a3e3ebcb7034a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/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\". Because the grouping and condition use the same column, the SIRA group returns 1.0 and all other groups return 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/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_dafbc827945129aa/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_ddc6dc41ca77afca/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..be72769f9663d41ffac74ebc377d17776375d3f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/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": 668, "bytes_utf8": 668, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15528, "cached_input_tokens": 14720, "output_tokens": 537, "reasoning_output_tokens": 358}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0ea82e78dce0ea4d3fb8b9a07c11217f11c89d00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a3b9ee08b8d2ee2fb7857cd05517199e71de98d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/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": "2026-05-19T15:47:42.382077+00:00", + "ended_at": "2026-05-19T15:47:53.577768+00:00", + "elapsed_ms": 11195.64, + "prompt_metrics": { + "chars": 11459, + "bytes_utf8": 11459, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1045, + "bytes_utf8": 1045, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 668, + "bytes_utf8": 668, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15528, + "cached_input_tokens": 14720, + "output_tokens": 537, + "reasoning_output_tokens": 358 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aaf46c7e7d798e153c07ebd5d920c4d0bd9a382b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/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=ShapeFactor2.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "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 + }, + "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_ddc6dc41ca77afca/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2fb284c719c02003c6c54f0dcd7dd224d1c4b944 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-e83e-70e2-b09c-3b693d2c289a"} +{"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(\\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15528,"cached_input_tokens":14720,"output_tokens":537,"reasoning_output_tokens":358}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..30416da552c619aa707aab473c2fdcc67f0b8882 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/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(\"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ddc6dc41ca77afca/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_e8ac0956ce3e9a31/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6c609d18a42ddc9108739b343fa1329522f939f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"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": 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": 11079, "bytes_utf8": 11079, "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": 996, "bytes_utf8": 996, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15426, "cached_input_tokens": 14720, "output_tokens": 801, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4594fb957bb94354ba806ce93489c032ab926e51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/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_e8ac0956ce3e9a31", + "api_calls": 0, + "input_tokens": 15426, + "cached_input_tokens": 14720, + "output_tokens": 801, + "total_tokens": 16227, + "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": 19384.31, + "sql_execution_elapsed_ms_total": 50.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/conversation.jsonl", + "note": "Executed through a 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_e8ac0956ce3e9a31/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..03c5dc4ce8ab8470231999bdd694db08fe383265 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/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": "2026-05-19T15:55:28.519590+00:00", + "ended_at": "2026-05-19T15:55:31.853132+00:00", + "elapsed_ms": 3333.52, + "returncode": 1, + "prompt_metrics": { + "chars": 11079, + "bytes_utf8": 11079, + "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_e8ac0956ce3e9a31/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8fb5a088d9161f7c6aa9215046a1672e87754599 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/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": "2026-05-19T15:55:32.855250+00:00", + "ended_at": "2026-05-19T15:55:48.906090+00:00", + "elapsed_ms": 16050.79, + "prompt_metrics": { + "chars": 11079, + "bytes_utf8": 11079, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1449, + "bytes_utf8": 1449, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 996, + "bytes_utf8": 996, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15426, + "cached_input_tokens": 14720, + "output_tokens": 801, + "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_e8ac0956ce3e9a31/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c21fc02f0bab4dba3c13931cd93e708ea61b91d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/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=Compactness.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Class", + "measure_col": "Compactness", + "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": 0.83427, + "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},\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_e8ac0956ce3e9a31/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c21fc02f0bab4dba3c13931cd93e708ea61b91d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/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=Compactness.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "Class", + "measure_col": "Compactness", + "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": 0.83427, + "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},\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_e8ac0956ce3e9a31/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cddb095cf4df54f5decfa92afab0390aa6cd1521 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-04ac-73d3-ace6-54295affbdec"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"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_e8ac0956ce3e9a31/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..87e564df33f542b34231b85a471ae06b8062db38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-04ac-73d3-ace6-54295affbdec"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota 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_e8ac0956ce3e9a31/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0fd98ff27f9e7afa295e921df22c2c14f7fa087e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-1595-7183-a48b-dc3067426506"} +{"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(\\\"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\\\"percentile_point\\\" AS (\\n SELECT\\n \\\"Class\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" = CAST(((9 * \\\"cnt\\\") + 9) / 10 AS INTEGER)\\n)\\nSELECT\\n \\\"Class\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentile_point\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile per \\\"Class\\\" via window functions. \\\"Compactness\\\" is stored as TEXT in the schema snapshot, so it is cast to REAL before ordering and returning the percentile point.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15426,"cached_input_tokens":14720,"output_tokens":801,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef7d22b8609e0af5835fa6511fe97c9470ffda91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"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\"percentile_point\" AS (\n SELECT\n \"Class\",\n \"measure_value\" AS \"percentile_measure\"\n FROM \"ranked\"\n WHERE \"rn\" = CAST(((9 * \"cnt\") + 9) / 10 AS INTEGER)\n)\nSELECT\n \"Class\",\n \"percentile_measure\"\nFROM \"percentile_point\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile per \"Class\" via window functions. \"Compactness\" is stored as TEXT in the schema snapshot, so it is cast to REAL before ordering and returning the percentile point."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/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_e8ac0956ce3e9a31/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_e8ac0956ce3e9a31/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_ecc3a5a087e198c6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9378578773a155c37f2ef30ef422042024c4efd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11086, "bytes_utf8": 11086, "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": 778, "bytes_utf8": 778, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15430, "cached_input_tokens": 14720, "output_tokens": 1780, "reasoning_output_tokens": 1540}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4d43026e426b5434a510083d009d7510d07c669c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f899bf7ebcfacbea5c97bc97ae17ecc09287c416 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/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": "2026-05-19T15:51:15.697977+00:00", + "ended_at": "2026-05-19T15:51:47.502146+00:00", + "elapsed_ms": 31804.13, + "prompt_metrics": { + "chars": 11086, + "bytes_utf8": 11086, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1207, + "bytes_utf8": 1207, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 778, + "bytes_utf8": 778, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15430, + "cached_input_tokens": 14720, + "output_tokens": 1780, + "reasoning_output_tokens": 1540 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_ecc3a5a087e198c6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..393b3dd795ca9cf9c3415e301ce732557a219203 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/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=Eccentricity.", + "planned_template_id": "tpl_grouped_percentile_point", + "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 + }, + "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_ecc3a5a087e198c6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ded4f2d915e7773b9ecce5404ec96036af1beec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-28f5-7c53-a849-043cff3089d2"} +{"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(\\\"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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15430,"cached_input_tokens":14720,"output_tokens":1780,"reasoning_output_tokens":1540}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff088635da8752652d362196b802cd3ff376a798 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/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(\"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ecc3a5a087e198c6/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_f01c1bb00fae3e76/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f01c1bb00fae3e76/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9ec8bb10e00504b0c4ecb1fc31300ac274688d2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f01c1bb00fae3e76/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": 416, "bytes_utf8": 416, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15403, "cached_input_tokens": 12032, "output_tokens": 317, "reasoning_output_tokens": 212}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f01c1bb00fae3e76/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f01c1bb00fae3e76/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2c6d584654ea9a1ba76131e40d6220b7462be663 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f01c1bb00fae3e76/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_f01c1bb00fae3e76", + "api_calls": 0, + "input_tokens": 15403, + "cached_input_tokens": 12032, + "output_tokens": 317, + "total_tokens": 15720, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10451.9, + "sql_execution_elapsed_ms_total": 62.27, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f01c1bb00fae3e76/cli/conversation.jsonl", + "note": "Executed through a 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_f01c1bb00fae3e76/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f01c1bb00fae3e76/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ae39f261b7c3c26c2d42af701c0baf61ae740d23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f01c1bb00fae3e76/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": "2026-05-19T15:42:34.934901+00:00", + "ended_at": "2026-05-19T15:42:45.386822+00:00", + "elapsed_ms": 10451.9, + "prompt_metrics": { + "chars": 10991, + "bytes_utf8": 10991, + "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": 416, + "bytes_utf8": 416, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15403, + "cached_input_tokens": 12032, + "output_tokens": 317, + "reasoning_output_tokens": 212 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_f01c1bb00fae3e76/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f01c1bb00fae3e76/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0b5d71dbe0d017b45810a0dc37b3a9d19a6e11d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f01c1bb00fae3e76/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=Eccentricity.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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 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_f01c1bb00fae3e76/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f01c1bb00fae3e76/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3a6c13bc4f7cc980e847358bac0154f2d17f2c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f01c1bb00fae3e76/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-36df-7ca1-8d1c-7b9c292beb3a"} +{"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 provided Window Partition Average template with group_col=\\\"Class\\\" and measure_col=\\\"Eccentricity\\\". CAST to REAL is included because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15403,"cached_input_tokens":12032,"output_tokens":317,"reasoning_output_tokens":212}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f01c1bb00fae3e76/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f01c1bb00fae3e76/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a49c098ad1a6bf36f1031193664948b0fc399b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f01c1bb00fae3e76/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 provided Window Partition Average template with group_col=\"Class\" and measure_col=\"Eccentricity\". 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_f01c1bb00fae3e76/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f01c1bb00fae3e76/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_f16e6195990d7182/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f16e6195990d7182/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e0503bebf719a078893f8d0f52ecca690ae93b41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f16e6195990d7182/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10840, "bytes_utf8": 10840, "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": 364, "bytes_utf8": 364, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15378, "cached_input_tokens": 12032, "output_tokens": 352, "reasoning_output_tokens": 246}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f16e6195990d7182/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f16e6195990d7182/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..26305f4e2fb27fdc312dfc14977c1ae714974f9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f16e6195990d7182/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_f16e6195990d7182", + "api_calls": 0, + "input_tokens": 15378, + "cached_input_tokens": 12032, + "output_tokens": 352, + "total_tokens": 15730, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10019.35, + "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_f16e6195990d7182/cli/conversation.jsonl", + "note": "Executed through a 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_f16e6195990d7182/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f16e6195990d7182/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..43dd93e91cc8f2114e581817e91d6aae651a997d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f16e6195990d7182/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:08.036315+00:00", + "ended_at": "2026-05-19T16:00:18.055686+00:00", + "elapsed_ms": 10019.35, + "prompt_metrics": { + "chars": 10840, + "bytes_utf8": 10840, + "lines": 298, + "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": 364, + "bytes_utf8": 364, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15378, + "cached_input_tokens": 12032, + "output_tokens": 352, + "reasoning_output_tokens": 246 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_f16e6195990d7182/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f16e6195990d7182/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab41d3d0c91dc52d91f2d7dd02117dc11012e742 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f16e6195990d7182/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=Perimeter.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "Perimeter", + "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": 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 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_f16e6195990d7182/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f16e6195990d7182/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8eb728020873d768381a2efac4b688c2f4836bf5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f16e6195990d7182/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-4857-7ae2-988f-98689c609009"} +{"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(\\\"Perimeter\\\" AS REAL) <= 977.213 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 \\\"Perimeter\\\" and threshold 977.213; cast \\\"Perimeter\\\" to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15378,"cached_input_tokens":12032,"output_tokens":352,"reasoning_output_tokens":246}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f16e6195990d7182/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f16e6195990d7182/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..95561c3fe388a73006c5af08acded89e2f4c18da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f16e6195990d7182/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"Perimeter\" AS REAL) <= 977.213 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 \"Perimeter\" and threshold 977.213; 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_f16e6195990d7182/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f16e6195990d7182/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_f39516426e12ae74/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f39516426e12ae74/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..51092b02934d035afd44fa15cfca6422b5e4e670 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f39516426e12ae74/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11456, "bytes_utf8": 11456, "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": 599, "bytes_utf8": 599, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15526, "cached_input_tokens": 14720, "output_tokens": 360, "reasoning_output_tokens": 201}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f39516426e12ae74/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f39516426e12ae74/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5ca6c710fcca5d1740163092312aec8ff9cb2012 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f39516426e12ae74/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_f39516426e12ae74", + "api_calls": 0, + "input_tokens": 15526, + "cached_input_tokens": 14720, + "output_tokens": 360, + "total_tokens": 15886, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14444.79, + "sql_execution_elapsed_ms_total": 13.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f39516426e12ae74/cli/conversation.jsonl", + "note": "Executed through a 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_f39516426e12ae74/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f39516426e12ae74/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..12387f2af2d298cecf51d9fab368f21018f1b875 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f39516426e12ae74/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": "2026-05-19T15:46:40.444759+00:00", + "ended_at": "2026-05-19T15:46:54.889592+00:00", + "elapsed_ms": 14444.79, + "prompt_metrics": { + "chars": 11456, + "bytes_utf8": 11456, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1299, + "bytes_utf8": 1299, + "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": 599, + "bytes_utf8": 599, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15526, + "cached_input_tokens": 14720, + "output_tokens": 360, + "reasoning_output_tokens": 201 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f39516426e12ae74/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f39516426e12ae74/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3768a4bb808d9c0c049a039557012a585e47b87b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f39516426e12ae74/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=roundness.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "Class", + "measure_col": "roundness", + "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": 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": "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_f39516426e12ae74/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f39516426e12ae74/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..070ea6fab5f135adddfa77d29d5131e6d4372ca0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f39516426e12ae74/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40ea-f620-7f40-a347-8b7444685144"} +{"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":"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(\\\"roundness\\\" 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 planned template with group_col=\\\"Class\\\" and measure_col=\\\"roundness\\\". CAST to REAL is included because the schema stores numeric values as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15526,"cached_input_tokens":14720,"output_tokens":360,"reasoning_output_tokens":201}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f39516426e12ae74/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f39516426e12ae74/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a481d0fc28c68a4088f71f27798bf8855c00163a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f39516426e12ae74/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(\"roundness\" 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 planned template with group_col=\"Class\" and measure_col=\"roundness\". CAST to REAL is included 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_f39516426e12ae74/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f39516426e12ae74/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..187985887017273f83acfa7fb332161e7f399c98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10990, "bytes_utf8": 10990, "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": 436, "bytes_utf8": 436, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15400, "cached_input_tokens": 14720, "output_tokens": 332, "reasoning_output_tokens": 216}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ed4166a42517ed8e8923f34d1cdaca9228e4bf6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7dde1697f04eacf2f3ed6a76c124ed01da2109f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/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": "2026-05-19T15:43:09.801049+00:00", + "ended_at": "2026-05-19T15:43:21.033152+00:00", + "elapsed_ms": 11232.07, + "prompt_metrics": { + "chars": 10990, + "bytes_utf8": 10990, + "lines": 300, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 795, + "bytes_utf8": 795, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_f9bd8eff0b2bbbe8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f1c772029d7b6c1826e73f8a87a973a92ecfc75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/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=EquivDiameter.", + "planned_template_id": "tpl_m4_window_partition_avg", + "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 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_f9bd8eff0b2bbbe8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..66b3a8cfb6f28203bd8ffd0de79be636dd9ed913 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-befd-79c1-94ce-f31cadc7f7e1"} +{"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(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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15400,"cached_input_tokens":14720,"output_tokens":332,"reasoning_output_tokens":216}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a349b6d41c68d037c6750ada8248a4ec2445f230 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_f9bd8eff0b2bbbe8/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/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..66fc89f374ab059a7db548c2a19d508207ae4740 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/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": 791, "bytes_utf8": 791, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15600, "cached_input_tokens": 12032, "output_tokens": 457, "reasoning_output_tokens": 249}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..45ceaf0bf3764352dcc9d20fbae8899cad4e470a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/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_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/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c8b5a7f3bcc27479821fbaedef4c975f49fe5d8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/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": "2026-05-19T15:39:01.726820+00:00", + "ended_at": "2026-05-19T15:39:12.188062+00:00", + "elapsed_ms": 10461.14, + "prompt_metrics": { + "chars": 11713, + "bytes_utf8": 11713, + "lines": 303, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1162, + "bytes_utf8": 1162, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_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 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_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_fbc308a0016be70c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..144ddca24cceb31f8086ddf4dc653b0b77a2fcfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/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": 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 + }, + "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_fbc308a0016be70c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..362d77a33816e86f50ac9f99217727b17af28fc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-f5f7-7b42-a7fb-44f232e7996c"} +{"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\\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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15600,"cached_input_tokens":12032,"output_tokens":457,"reasoning_output_tokens":249}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..008c8da5bf7885569a78badc7652478436f2998f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"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."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_fbc308a0016be70c/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_ffb1e01c75d5c8f8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ee5cc8fff6dd5d384d34e87cf3b9750e99700164 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/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_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/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f597b7c15047dd5f48f531c2579de444dcab8b01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/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=Compactness.", + "planned_template_id": "tpl_tpcds_within_group_share", + "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 + }, + "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_ffb1e01c75d5c8f8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2914405b065cc7d76f15197eacb62db96bbd2a27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-59d8-7f10-97e8-eb89a2b9a7a3"} +{"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 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.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15508,"cached_input_tokens":12032,"output_tokens":599,"reasoning_output_tokens":428}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391