diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..07b53155d75f1a8da827b317d69936286a66271a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/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=four_g, measure_col=mobile_wt. +Result preview: [{"four_g": "1", "total_measure": 145695.0}, {"four_g": "0", "total_measure": 134803.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fc946a05700adf8e3f06faeb1f524936e761b429 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_024b6dfade6006ef +-- problem_id: v2p_m10_cabe7bb907faf806 +-- realization_mode: agent +-- source_kind: agent +SELECT "four_g", SUM(CAST("mobile_wt" AS REAL)) AS total_measure +FROM "m10" +GROUP BY "four_g" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a8c5480e6a496100d383e2e0d2b94ce82941f028 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/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 \"four_g\", SUM(CAST(\"mobile_wt\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"four_g\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"four_g\\\", SUM(CAST(\\\"mobile_wt\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"four_g\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"four_g\", \"total_measure\"], \"rows\": [{\"four_g\": \"1\", \"total_measure\": 145695.0}, {\"four_g\": \"0\", \"total_measure\": 134803.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.15}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c907ecaaef6cbc94df052178f18c9fa5413e990b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:29:47.329692+00:00", + "ended_at": "2026-05-19T15:29:57.112251+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_024b6dfade6006ef", + "problem_id": "v2p_m10_cabe7bb907faf806", + "dataset_id": "m10", + "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=four_g, measure_col=mobile_wt.", + "bindings": { + "group_col": "four_g", + "measure_col": "mobile_wt", + "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": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=4" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_024b6dfade6006ef.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_024b6dfade6006ef", + "api_calls": 0, + "input_tokens": 15219, + "cached_input_tokens": 12032, + "output_tokens": 240, + "total_tokens": 15459, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9777.61, + "sql_execution_elapsed_ms_total": 1.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d1cdb3e59c4a8081e4008b0d8f6ea8e1f601e461 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:57.109633+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": 9777.61, "started_at": "2026-05-19T15:29:47.330775+00:00", "ended_at": "2026-05-19T15:29:57.108411+00:00", "prompt_metrics": {"chars": 10509, "bytes_utf8": 10509, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 371, "bytes_utf8": 371, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15219, "cached_input_tokens": 12032, "output_tokens": 240, "reasoning_output_tokens": 137}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"four_g\\\", SUM(CAST(\\\"mobile_wt\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"four_g\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the provided grouped numeric sum template with group_col=\\\"four_g\\\" and measure_col=\\\"mobile_wt\\\". Cast \\\"mobile_wt\\\" to REAL because the schema snapshot stores columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..304e4e4295043c3595b3c391071401864e889b3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_024b6dfade6006ef", + "api_calls": 0, + "input_tokens": 15219, + "cached_input_tokens": 12032, + "output_tokens": 240, + "total_tokens": 15459, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9777.61, + "sql_execution_elapsed_ms_total": 1.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fc6009512d9dd58017281e91a5a384843e8aadc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=price_range, condition_col=price_range. +Result preview: [{"price_range": "1", "condition_ratio": 0.0}, {"price_range": "0", "condition_ratio": null}, {"price_range": "2", "condition_ratio": null}, {"price_range": "3", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..883f880760fd29408463aac2db53e11c1aad17ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_08128d2224ba1fe7 +-- problem_id: v2p_m10_99cdbe8b72476491 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "price_range", + SUM(CASE WHEN "price_range" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "price_range" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "m10" + GROUP BY "price_range" +) +SELECT "price_range", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2c0b113d1ddb71cf5f24f0583073862549596368 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"price_range\",\n SUM(CASE WHEN \"price_range\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"price_range\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m10\"\n GROUP BY \"price_range\"\n)\nSELECT \"price_range\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"price_range\\\",\\n SUM(CASE WHEN \\\"price_range\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"price_range\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"price_range\\\"\\n)\\nSELECT \\\"price_range\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"price_range\", \"condition_ratio\"], \"rows\": [{\"price_range\": \"1\", \"condition_ratio\": 0.0}, {\"price_range\": \"0\", \"condition_ratio\": null}, {\"price_range\": \"2\", \"condition_ratio\": null}, {\"price_range\": \"3\", \"condition_ratio\": null}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..de20f4520cabb11cb86addf71c0ca8815e868c24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:40:40.580344+00:00", + "ended_at": "2026-05-19T15:40:55.632326+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_08128d2224ba1fe7", + "problem_id": "v2p_m10_99cdbe8b72476491", + "dataset_id": "m10", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=price_range, condition_col=price_range.", + "bindings": { + "group_col": "price_range", + "condition_col": "price_range", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=44" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_08128d2224ba1fe7.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_08128d2224ba1fe7", + "api_calls": 0, + "input_tokens": 15426, + "cached_input_tokens": 12032, + "output_tokens": 705, + "total_tokens": 16131, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15046.75, + "sql_execution_elapsed_ms_total": 1.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b1fbe9cbef5b6165c6d7999c4a45834b3568ccfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:55.629478+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": 15046.75, "started_at": "2026-05-19T15:40:40.581292+00:00", "ended_at": "2026-05-19T15:40:55.628074+00:00", "prompt_metrics": {"chars": 11327, "bytes_utf8": 11327, "lines": 351, "estimated_tokens": null}, "response_metrics": {"chars": 746, "bytes_utf8": 746, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15426, "cached_input_tokens": 12032, "output_tokens": 705, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"price_range\\\",\\n SUM(CASE WHEN \\\"price_range\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"price_range\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"price_range\\\"\\n)\\nSELECT \\\"price_range\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Used the provided grouped ratio template with both group_col and condition_col bound to \\\"price_range\\\", and compared positive_value '0' against negative_value '1' using SQLite-compatible CASE aggregation and NULLIF to avoid division by zero.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ae843bb561f20661b0ec359fa672132fde121032 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_08128d2224ba1fe7", + "api_calls": 0, + "input_tokens": 15426, + "cached_input_tokens": 12032, + "output_tokens": 705, + "total_tokens": 16131, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15046.75, + "sql_execution_elapsed_ms_total": 1.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e8082890281b66b1a9dbdebf74d8bd41e6ba7b05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/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=four_g. +Result preview: [{"four_g": "1", "row_count": 1043}, {"four_g": "0", "row_count": 957}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3332dbd327ecded6d14cc53d8b8f0964ac72695d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_0b9224f94410f843 +-- problem_id: v2p_m10_ad68c31ef1c25b4e +-- realization_mode: agent +-- source_kind: agent +SELECT "four_g", COUNT(*) AS row_count +FROM "m10" +GROUP BY "four_g" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..843829105ac191397dade510ca13a94ccd8e6cbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/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 \"four_g\", COUNT(*) AS row_count\nFROM \"m10\"\nGROUP BY \"four_g\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"four_g\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nGROUP BY \\\"four_g\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"four_g\", \"row_count\"], \"rows\": [{\"four_g\": \"1\", \"row_count\": 1043}, {\"four_g\": \"0\", \"row_count\": 957}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.9}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5fece55e94de0946f86a4a51c2ffed877abda711 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:33:25.668509+00:00", + "ended_at": "2026-05-19T15:33:33.149617+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_0b9224f94410f843", + "problem_id": "v2p_m10_ad68c31ef1c25b4e", + "dataset_id": "m10", + "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=four_g.", + "bindings": { + "group_col": "four_g", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=8", + "sql_variant_index=1/1", + "binding_index=19" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_0b9224f94410f843.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_0b9224f94410f843", + "api_calls": 0, + "input_tokens": 15190, + "cached_input_tokens": 12032, + "output_tokens": 251, + "total_tokens": 15441, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7473.96, + "sql_execution_elapsed_ms_total": 1.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..87ba051ce8b5ca8000a4484880eac589a793443a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:33.145112+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": 7473.96, "started_at": "2026-05-19T15:33:25.669508+00:00", "ended_at": "2026-05-19T15:33:33.143507+00:00", "prompt_metrics": {"chars": 10414, "bytes_utf8": 10414, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 279, "bytes_utf8": 279, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15190, "cached_input_tokens": 12032, "output_tokens": 251, "reasoning_output_tokens": 177}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"four_g\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nGROUP BY \\\"four_g\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned grouped-count template with group_col bound to \\\"four_g\\\" to inspect subgroup size distribution.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9c556adcdb8be087468afbd3fd3142d2aa63232d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_0b9224f94410f843", + "api_calls": 0, + "input_tokens": 15190, + "cached_input_tokens": 12032, + "output_tokens": 251, + "total_tokens": 15441, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7473.96, + "sql_execution_elapsed_ms_total": 1.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0ae5088eeadd911cd1d9c0e777e154c13d6a6db6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/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=fc. +Result preview: [{"fc": "0", "row_count": 474}, {"fc": "1", "row_count": 245}, {"fc": "2", "row_count": 189}, {"fc": "3", "row_count": 170}, {"fc": "5", "row_count": 139}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..58ebccfe6bb330e3bd4494d0d46864defac69144 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_0bde49f42a6f34e8 +-- problem_id: v2p_m10_8421b47c15d810ec +-- realization_mode: agent +-- source_kind: agent +SELECT "fc", COUNT(*) AS "row_count" +FROM "m10" +GROUP BY "fc" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8d22f38394f8b864fb3704b16eb9e58c3d569a24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/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 \"fc\", COUNT(*) AS \"row_count\"\nFROM \"m10\"\nGROUP BY \"fc\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"fc\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"fc\", \"row_count\"], \"rows\": [{\"fc\": \"0\", \"row_count\": 474}, {\"fc\": \"1\", \"row_count\": 245}, {\"fc\": \"2\", \"row_count\": 189}, {\"fc\": \"3\", \"row_count\": 170}, {\"fc\": \"5\", \"row_count\": 139}, {\"fc\": \"4\", \"row_count\": 133}, {\"fc\": \"6\", \"row_count\": 112}, {\"fc\": \"7\", \"row_count\": 100}, {\"fc\": \"9\", \"row_count\": 78}, {\"fc\": \"8\", \"row_count\": 77}, {\"fc\": \"10\", \"row_count\": 62}, {\"fc\": \"11\", \"row_count\": 51}, {\"fc\": \"12\", \"row_count\": 45}, {\"fc\": \"13\", \"row_count\": 40}, {\"fc\": \"16\", \"row_count\": 24}, {\"fc\": \"15\", \"row_count\": 23}, {\"fc\": \"14\", \"row_count\": 20}, {\"fc\": \"18\", \"row_count\": 11}, {\"fc\": \"17\", \"row_count\": 6}, {\"fc\": \"19\", \"row_count\": 1}], \"row_count_returned\": 20, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.03}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..372a9427740d052d16c028249dbb8b8049b48a3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:33:04.993217+00:00", + "ended_at": "2026-05-19T15:33:25.667938+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_0bde49f42a6f34e8", + "problem_id": "v2p_m10_8421b47c15d810ec", + "dataset_id": "m10", + "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=fc.", + "bindings": { + "group_col": "fc", + "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": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=7", + "sql_variant_index=1/1", + "binding_index=18" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_0bde49f42a6f34e8.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_0bde49f42a6f34e8", + "api_calls": 0, + "input_tokens": 15188, + "cached_input_tokens": 12032, + "output_tokens": 358, + "total_tokens": 15546, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20670.72, + "sql_execution_elapsed_ms_total": 1.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0759fd574894dc5adaba2da028489aeb78283184 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:25.665740+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": 20670.72, "started_at": "2026-05-19T15:33:04.994286+00:00", "ended_at": "2026-05-19T15:33:25.665027+00:00", "prompt_metrics": {"chars": 10409, "bytes_utf8": 10409, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 270, "bytes_utf8": 270, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15188, "cached_input_tokens": 12032, "output_tokens": 358, "reasoning_output_tokens": 284}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"fc\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Counts rows for each distinct value of \\\"fc\\\" to examine subgroup count distribution and size stability.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2ea3ade643c3c32e1ce7ae16b54aac2df1093d9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_0bde49f42a6f34e8", + "api_calls": 0, + "input_tokens": 15188, + "cached_input_tokens": 12032, + "output_tokens": 358, + "total_tokens": 15546, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20670.72, + "sql_execution_elapsed_ms_total": 1.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7eb3ef7b9cd1e4ad667d2894751b7464c74c7cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=touch_screen, condition_col=four_g. +Result preview: [{"touch_screen": "0", "condition_rate": 0.4869215291750503}, {"touch_screen": "1", "condition_rate": 0.4701789264413519}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c47a4d822f91a92e2c3fbdc736ce5f8e72339c0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_0c396a6af72ff036 +-- problem_id: v2p_m10_8663f0d38ec49fad +-- realization_mode: agent +-- source_kind: agent +SELECT "touch_screen", + AVG(CASE WHEN "four_g" = '0' THEN 1 ELSE 0 END) AS condition_rate +FROM "m10" +GROUP BY "touch_screen" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a111e23acf4f0b1d2b498fa5ee5f40fb40dee9b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"touch_screen\",\n AVG(CASE WHEN \"four_g\" = '0' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m10\"\nGROUP BY \"touch_screen\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"touch_screen\\\",\\n AVG(CASE WHEN \\\"four_g\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"touch_screen\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"touch_screen\", \"condition_rate\"], \"rows\": [{\"touch_screen\": \"0\", \"condition_rate\": 0.4869215291750503}, {\"touch_screen\": \"1\", \"condition_rate\": 0.4701789264413519}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.08}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..adb0bfbfa5e417b574f1bd1ed56b73ec2c5bc7a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:01:28.954908+00:00", + "ended_at": "2026-05-19T16:01:38.618410+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_0c396a6af72ff036", + "problem_id": "v2p_m10_8663f0d38ec49fad", + "dataset_id": "m10", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=touch_screen, condition_col=four_g.", + "bindings": { + "group_col": "touch_screen", + "condition_col": "four_g", + "condition_value": "0", + "positive_value": "1", + "negative_value": "0", + "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": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=102" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_0c396a6af72ff036.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_0c396a6af72ff036", + "api_calls": 0, + "input_tokens": 15278, + "cached_input_tokens": 12032, + "output_tokens": 335, + "total_tokens": 15613, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9657.49, + "sql_execution_elapsed_ms_total": 1.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..276a508d31a19ca528872fd808206720369fe507 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:38.615705+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": 9657.49, "started_at": "2026-05-19T16:01:28.957399+00:00", "ended_at": "2026-05-19T16:01:38.614926+00:00", "prompt_metrics": {"chars": 10762, "bytes_utf8": 10762, "lines": 351, "estimated_tokens": null}, "response_metrics": {"chars": 425, "bytes_utf8": 425, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15278, "cached_input_tokens": 12032, "output_tokens": 335, "reasoning_output_tokens": 223}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"touch_screen\\\",\\n AVG(CASE WHEN \\\"four_g\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"touch_screen\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template with group_col=\\\"touch_screen\\\" and condition_col=\\\"four_g\\\", comparing against the bound condition_value '0' as text to match the schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e12aec4865df29d9f9eda81c19c43fe3754f5726 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_0c396a6af72ff036", + "api_calls": 0, + "input_tokens": 15278, + "cached_input_tokens": 12032, + "output_tokens": 335, + "total_tokens": 15613, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9657.49, + "sql_execution_elapsed_ms_total": 1.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f5caf1b77447e48c80a384562b29f15fa4d389d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:06:14.070807+00:00", + "ended_at": "2026-05-19T16:06:21.298175+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_0c6d673f80ad599b", + "problem_id": "v2p_m10_7042c10a09cd53c7", + "dataset_id": "m10", + "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=touch_screen, measure_col=pc.", + "bindings": { + "group_col": "touch_screen", + "measure_col": "pc", + "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": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=132" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b874a9685c21a9943cad76a7e946f05ccb4f2e8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:16.934121+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": 2861.64, "started_at": "2026-05-19T16:06:14.071773+00:00", "ended_at": "2026-05-19T16:06:16.933437+00:00", "prompt_metrics": {"chars": 10592, "bytes_utf8": 10592, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-de3d-79f0-8b73-3d8bedf0cd0b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:21.298080+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": 3361.46, "started_at": "2026-05-19T16:06:17.935797+00:00", "ended_at": "2026-05-19T16:06:21.297304+00:00", "prompt_metrics": {"chars": 10592, "bytes_utf8": 10592, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-ed45-7c40-b943-e8f79f98437e\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ea31513e55129ea38c138812b87612475e36272 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/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=px_height. +Result preview: [{"px_height": "1960"}, {"px_height": "1949"}, {"px_height": "1920"}, {"px_height": "1914"}, {"px_height": "1901"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..745772fdddac3ef7d342e2a6d25f5a676cbb6a8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_0d249ba089be7dcd +-- problem_id: v2p_m10_4b48a03a08ad015e +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + "px_height", + NTILE(10) OVER (ORDER BY CAST("px_height" AS REAL) DESC) AS "tail_bucket" + FROM "m10" + WHERE "px_height" IS NOT NULL +) +SELECT "px_height" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY CAST("px_height" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2ae4480331426f1765be51d436a5d627b1e9f822 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/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 \"px_height\",\n NTILE(10) OVER (ORDER BY CAST(\"px_height\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m10\"\n WHERE \"px_height\" IS NOT NULL\n)\nSELECT \"px_height\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"px_height\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"px_height\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"px_height\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"px_height\\\" IS NOT NULL\\n)\\nSELECT \\\"px_height\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"px_height\\\" AS REAL) DESC;\", \"columns\": [\"px_height\"], \"rows\": [{\"px_height\": \"1960\"}, {\"px_height\": \"1949\"}, {\"px_height\": \"1920\"}, {\"px_height\": \"1914\"}, {\"px_height\": \"1901\"}, {\"px_height\": \"1899\"}, {\"px_height\": \"1895\"}, {\"px_height\": \"1878\"}, {\"px_height\": \"1874\"}, {\"px_height\": \"1869\"}, {\"px_height\": \"1858\"}, {\"px_height\": \"1852\"}, {\"px_height\": \"1842\"}, {\"px_height\": \"1836\"}, {\"px_height\": \"1830\"}, {\"px_height\": \"1826\"}, {\"px_height\": \"1802\"}, {\"px_height\": \"1801\"}, {\"px_height\": \"1795\"}, {\"px_height\": \"1792\"}, {\"px_height\": \"1791\"}, {\"px_height\": \"1791\"}, {\"px_height\": \"1790\"}, {\"px_height\": \"1789\"}, {\"px_height\": \"1770\"}, {\"px_height\": \"1765\"}, {\"px_height\": \"1750\"}, {\"px_height\": \"1749\"}, {\"px_height\": \"1749\"}, {\"px_height\": \"1738\"}, {\"px_height\": \"1734\"}, {\"px_height\": \"1728\"}, {\"px_height\": \"1725\"}, {\"px_height\": \"1715\"}, {\"px_height\": \"1713\"}, {\"px_height\": \"1709\"}, {\"px_height\": \"1706\"}, {\"px_height\": \"1703\"}, {\"px_height\": \"1699\"}, {\"px_height\": \"1698\"}, {\"px_height\": \"1698\"}, {\"px_height\": \"1698\"}, {\"px_height\": \"1694\"}, {\"px_height\": \"1693\"}, {\"px_height\": \"1692\"}, {\"px_height\": \"1686\"}, {\"px_height\": \"1684\"}, {\"px_height\": \"1673\"}, {\"px_height\": \"1661\"}, {\"px_height\": \"1658\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 3.15}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6f02c3724e3fcb77e6aa22e8374bd280fb160fb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:43:48.275198+00:00", + "ended_at": "2026-05-19T15:44:07.399153+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_0d249ba089be7dcd", + "problem_id": "v2p_m10_4b48a03a08ad015e", + "dataset_id": "m10", + "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=px_height.", + "bindings": { + "measure_col": "px_height", + "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": 947.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=63" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_0d249ba089be7dcd.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_0d249ba089be7dcd", + "api_calls": 0, + "input_tokens": 15270, + "cached_input_tokens": 14720, + "output_tokens": 557, + "total_tokens": 15827, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19116.23, + "sql_execution_elapsed_ms_total": 3.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c2222dc8f81cc5046415d4e51a4b26a8254c31e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:07.394651+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": 19116.23, "started_at": "2026-05-19T15:43:48.277332+00:00", "ended_at": "2026-05-19T15:44:07.393602+00:00", "prompt_metrics": {"chars": 10684, "bytes_utf8": 10684, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 583, "bytes_utf8": 583, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15270, "cached_input_tokens": 14720, "output_tokens": 557, "reasoning_output_tokens": 390}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"px_height\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"px_height\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"px_height\\\" IS NOT NULL\\n)\\nSELECT \\\"px_height\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"px_height\\\" AS REAL) DESC;\",\"notes\":\"Uses the planned Quantile Tail Slice template with measure_col bound to \\\"px_height\\\" and num_tiles=10. \\\"px_height\\\" is cast to REAL for correct numeric tail bucketing and ordering because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6420005e0a38866bc46d7d5ef37986ee5debe458 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_0d249ba089be7dcd", + "api_calls": 0, + "input_tokens": 15270, + "cached_input_tokens": 14720, + "output_tokens": 557, + "total_tokens": 15827, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19116.23, + "sql_execution_elapsed_ms_total": 3.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7b079062f1cc70dbc1dae18d490a67faf13cc041 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10924, "bytes_utf8": 10924, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 672, "bytes_utf8": 672, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15338, "cached_input_tokens": 12032, "output_tokens": 612, "reasoning_output_tokens": 420}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5ee1a296eb81d410b5c22a802a77d94771f4cca5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_10e58905a124d212", + "api_calls": 0, + "input_tokens": 15338, + "cached_input_tokens": 12032, + "output_tokens": 612, + "total_tokens": 15950, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12757.29, + "sql_execution_elapsed_ms_total": 6.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..340a50b3037377b1fb45189f8e9699bf1de345c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:46.363568+00:00", + "ended_at": "2026-05-19T15:37:59.120895+00:00", + "elapsed_ms": 12757.29, + "prompt_metrics": { + "chars": 10924, + "bytes_utf8": 10924, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1059, + "bytes_utf8": 1059, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 672, + "bytes_utf8": 672, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15338, + "cached_input_tokens": 12032, + "output_tokens": 612, + "reasoning_output_tokens": 420 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4415adfc90dfc53750abb96ed4718105bda6e0ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=dual_sim, measure_col=mobile_wt.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "dual_sim", + "measure_col": "mobile_wt", + "item_col": "px_height", + "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": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d151866ca4aefc3a90ff5be5716afc38454eed86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-cf8d-7bc3-87e4-e3260118116b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"dual_sim\\\",\\n CAST(\\\"px_height\\\" AS INTEGER) AS \\\"px_height\\\",\\n SUM(CAST(\\\"mobile_wt\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"mobile_wt\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"mobile_wt\\\" AS REAL))) OVER (PARTITION BY \\\"dual_sim\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"dual_sim\\\", CAST(\\\"px_height\\\" AS INTEGER)\\nORDER BY share_within_group DESC\\nLIMIT 12;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"dual_sim\\\", item_col=\\\"px_height\\\", and measure_col=\\\"mobile_wt\\\". Cast text-stored numeric fields to INTEGER/REAL for SQLite aggregation semantics.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15338,"cached_input_tokens":12032,"output_tokens":612,"reasoning_output_tokens":420}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff831b9080ec40da5173728b17fda8aefcab0c8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"dual_sim\",\n CAST(\"px_height\" AS INTEGER) AS \"px_height\",\n SUM(CAST(\"mobile_wt\" AS REAL)) AS total_measure,\n SUM(CAST(\"mobile_wt\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"mobile_wt\" AS REAL))) OVER (PARTITION BY \"dual_sim\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"dual_sim\", CAST(\"px_height\" AS INTEGER)\nORDER BY share_within_group DESC\nLIMIT 12;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"dual_sim\", item_col=\"px_height\", and measure_col=\"mobile_wt\". Cast text-stored numeric fields to INTEGER/REAL for SQLite aggregation semantics."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10e58905a124d212/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ca1c89114a82b0e2f9e007102ca488df0d9fed3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/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=n_cores, measure_col=pc. +Result preview: [{"n_cores": "4", "total_measure": 2721}, {"n_cores": "7", "total_measure": 2583}, {"n_cores": "8", "total_measure": 2544}, {"n_cores": "1", "total_measure": 2536}, {"n_cores": "3", "total_measure": 2412}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f702c50ee503b28149a2a1923da57e74b6c08426 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_10ebe8da27522d81 +-- problem_id: v2p_m10_f0b323e888f95185 +-- realization_mode: agent +-- source_kind: agent +SELECT "n_cores", SUM(CAST("pc" AS NUMERIC)) AS "total_measure" +FROM "m10" +GROUP BY "n_cores" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2daef1500f4bc91d4c2b791b55749b42810aad0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"n_cores\", SUM(CAST(\"pc\" AS NUMERIC)) AS \"total_measure\"\nFROM \"m10\"\nGROUP BY \"n_cores\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"n_cores\\\", SUM(CAST(\\\"pc\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"n_cores\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"n_cores\", \"total_measure\"], \"rows\": [{\"n_cores\": \"4\", \"total_measure\": 2721}, {\"n_cores\": \"7\", \"total_measure\": 2583}, {\"n_cores\": \"8\", \"total_measure\": 2544}, {\"n_cores\": \"1\", \"total_measure\": 2536}, {\"n_cores\": \"3\", \"total_measure\": 2412}, {\"n_cores\": \"6\", \"total_measure\": 2365}, {\"n_cores\": \"2\", \"total_measure\": 2339}, {\"n_cores\": \"5\", \"total_measure\": 2333}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.41}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a6c30eca3dc18e5ace13eb3483b9d141c144831b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:30:54.867434+00:00", + "ended_at": "2026-05-19T15:31:04.024129+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_10ebe8da27522d81", + "problem_id": "v2p_m10_f0b323e888f95185", + "dataset_id": "m10", + "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=n_cores, measure_col=pc.", + "bindings": { + "group_col": "n_cores", + "measure_col": "pc", + "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": 13.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=6" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_10ebe8da27522d81.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_10ebe8da27522d81", + "api_calls": 0, + "input_tokens": 15216, + "cached_input_tokens": 12032, + "output_tokens": 348, + "total_tokens": 15564, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9150.86, + "sql_execution_elapsed_ms_total": 1.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6eade1e20bf7f1c3bde2c4ad51da1a0a341b0315 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:04.021354+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": 9150.86, "started_at": "2026-05-19T15:30:54.869575+00:00", "ended_at": "2026-05-19T15:31:04.020468+00:00", "prompt_metrics": {"chars": 10497, "bytes_utf8": 10497, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 350, "bytes_utf8": 350, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15216, "cached_input_tokens": 12032, "output_tokens": 348, "reasoning_output_tokens": 246}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"n_cores\\\", SUM(CAST(\\\"pc\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"n_cores\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the provided Grouped Numeric Sum template with group_col=\\\"n_cores\\\" and measure_col=\\\"pc\\\". CAST was added because the schema stores columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3fba47af01fa95f64b595b9d356b7a9e5186635a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_10ebe8da27522d81", + "api_calls": 0, + "input_tokens": 15216, + "cached_input_tokens": 12032, + "output_tokens": 348, + "total_tokens": 15564, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9150.86, + "sql_execution_elapsed_ms_total": 1.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7a86581de4945119723935c446b7e69753b6f2e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/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=four_g, group_col_2=talk_time. +Result preview: [{"four_g": "1", "talk_time": "11", "row_count": 21}, {"four_g": "1", "talk_time": "6", "row_count": 20}, {"four_g": "0", "talk_time": "7", "row_count": 18}, {"four_g": "1", "talk_time": "18", "row_count": 18}, {"four_g": "1", "talk_time": "4", "row_count": 18}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..317abed390d982077a66bb457a01ecea918e173a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_112b1bcd95a29127 +-- problem_id: v2p_m10_6a912d09e38c46d8 +-- realization_mode: agent +-- source_kind: agent +SELECT "four_g", "talk_time", COUNT(*) AS row_count +FROM "m10" +WHERE CAST("ram" AS REAL) >= 3064.5 +GROUP BY "four_g", "talk_time" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3057b9cc0d446bd3b1f4d3dc8cf2739d74d54ac8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/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 \"four_g\", \"talk_time\", COUNT(*) AS row_count\nFROM \"m10\"\nWHERE CAST(\"ram\" AS REAL) >= 3064.5\nGROUP BY \"four_g\", \"talk_time\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"four_g\\\", \\\"talk_time\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"ram\\\" AS REAL) >= 3064.5\\nGROUP BY \\\"four_g\\\", \\\"talk_time\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"four_g\", \"talk_time\", \"row_count\"], \"rows\": [{\"four_g\": \"1\", \"talk_time\": \"11\", \"row_count\": 21}, {\"four_g\": \"1\", \"talk_time\": \"6\", \"row_count\": 20}, {\"four_g\": \"0\", \"talk_time\": \"7\", \"row_count\": 18}, {\"four_g\": \"1\", \"talk_time\": \"18\", \"row_count\": 18}, {\"four_g\": \"1\", \"talk_time\": \"4\", \"row_count\": 18}, {\"four_g\": \"1\", \"talk_time\": \"2\", \"row_count\": 17}, {\"four_g\": \"0\", \"talk_time\": \"8\", \"row_count\": 16}, {\"four_g\": \"0\", \"talk_time\": \"13\", \"row_count\": 15}, {\"four_g\": \"1\", \"talk_time\": \"13\", \"row_count\": 15}, {\"four_g\": \"1\", \"talk_time\": \"16\", \"row_count\": 15}, {\"four_g\": \"1\", \"talk_time\": \"20\", \"row_count\": 15}, {\"four_g\": \"1\", \"talk_time\": \"7\", \"row_count\": 15}, {\"four_g\": \"1\", \"talk_time\": \"9\", \"row_count\": 15}, {\"four_g\": \"0\", \"talk_time\": \"12\", \"row_count\": 14}, {\"four_g\": \"0\", \"talk_time\": \"15\", \"row_count\": 14}, {\"four_g\": \"0\", \"talk_time\": \"5\", \"row_count\": 14}, {\"four_g\": \"1\", \"talk_time\": \"19\", \"row_count\": 14}, {\"four_g\": \"1\", \"talk_time\": \"5\", \"row_count\": 14}, {\"four_g\": \"1\", \"talk_time\": \"8\", \"row_count\": 14}, {\"four_g\": \"0\", \"talk_time\": \"10\", \"row_count\": 13}, {\"four_g\": \"0\", \"talk_time\": \"16\", \"row_count\": 13}, {\"four_g\": \"0\", \"talk_time\": \"17\", \"row_count\": 13}, {\"four_g\": \"0\", \"talk_time\": \"4\", \"row_count\": 13}, {\"four_g\": \"1\", \"talk_time\": \"10\", \"row_count\": 13}, {\"four_g\": \"0\", \"talk_time\": \"20\", \"row_count\": 12}, {\"four_g\": \"1\", \"talk_time\": \"12\", \"row_count\": 12}, {\"four_g\": \"0\", \"talk_time\": \"3\", \"row_count\": 11}, {\"four_g\": \"0\", \"talk_time\": \"6\", \"row_count\": 11}, {\"four_g\": \"1\", \"talk_time\": \"14\", \"row_count\": 11}, {\"four_g\": \"0\", \"talk_time\": \"11\", \"row_count\": 10}, {\"four_g\": \"0\", \"talk_time\": \"14\", \"row_count\": 10}, {\"four_g\": \"1\", \"talk_time\": \"3\", \"row_count\": 10}, {\"four_g\": \"0\", \"talk_time\": \"18\", \"row_count\": 9}, {\"four_g\": \"0\", \"talk_time\": \"19\", \"row_count\": 9}, {\"four_g\": \"0\", \"talk_time\": \"9\", \"row_count\": 8}, {\"four_g\": \"1\", \"talk_time\": \"17\", \"row_count\": 8}, {\"four_g\": \"0\", \"talk_time\": \"2\", \"row_count\": 6}, {\"four_g\": \"1\", \"talk_time\": \"15\", \"row_count\": 6}], \"row_count_returned\": 38, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.6}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f66156c267d4b2893582ac59ad3574b14c64a179 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:42:22.735728+00:00", + "ended_at": "2026-05-19T15:42:39.460705+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_112b1bcd95a29127", + "problem_id": "v2p_m10_6a912d09e38c46d8", + "dataset_id": "m10", + "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=four_g, group_col_2=talk_time.", + "bindings": { + "group_col": "four_g", + "group_col_2": "talk_time", + "predicate_col": "ram", + "predicate_op": ">=", + "predicate_value": 3064.5, + "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": 2.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=8", + "sql_variant_index=1/1", + "binding_index=55" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_112b1bcd95a29127.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_112b1bcd95a29127", + "api_calls": 0, + "input_tokens": 15312, + "cached_input_tokens": 12032, + "output_tokens": 353, + "total_tokens": 15665, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16717.46, + "sql_execution_elapsed_ms_total": 1.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..375fe0567b214d5bda38bbb9f9b12805c764ed30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:39.457053+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": 16717.46, "started_at": "2026-05-19T15:42:22.738265+00:00", "ended_at": "2026-05-19T15:42:39.455765+00:00", "prompt_metrics": {"chars": 10815, "bytes_utf8": 10815, "lines": 352, "estimated_tokens": null}, "response_metrics": {"chars": 456, "bytes_utf8": 456, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15312, "cached_input_tokens": 12032, "output_tokens": 353, "reasoning_output_tokens": 221}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"four_g\\\", \\\"talk_time\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"ram\\\" AS REAL) >= 3064.5\\nGROUP BY \\\"four_g\\\", \\\"talk_time\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the planned filtered 2D group-count template with \\\"four_g\\\" and \\\"talk_time\\\" as grouping columns and filtered on \\\"ram\\\" >= 3064.5. Cast \\\"ram\\\" to REAL because the schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..da7551d9ab20bf76f78ccf7e91e6bdd223493ca4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_112b1bcd95a29127", + "api_calls": 0, + "input_tokens": 15312, + "cached_input_tokens": 12032, + "output_tokens": 353, + "total_tokens": 15665, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16717.46, + "sql_execution_elapsed_ms_total": 1.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_112b1bcd95a29127/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b4ba555f967a50c4fc7849db03ff599c57367ea8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:37.455351+00:00", + "ended_at": "2026-05-19T16:08:40.338869+00:00", + "elapsed_ms": 2883.48, + "returncode": 1, + "prompt_metrics": { + "chars": 10601, + "bytes_utf8": 10601, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5e654f306267a79795810f2332ba1a9ae54060b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:41.341260+00:00", + "ended_at": "2026-05-19T16:08:44.580454+00:00", + "elapsed_ms": 3239.15, + "returncode": 1, + "prompt_metrics": { + "chars": 10601, + "bytes_utf8": 10601, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..21166c401e9a8617b91f799372c634416b9bbda6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=m_dep, measure_col=battery_power.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "m_dep", + "measure_col": "battery_power", + "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": 1487.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..21166c401e9a8617b91f799372c634416b9bbda6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=m_dep, measure_col=battery_power.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "m_dep", + "measure_col": "battery_power", + "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": 1487.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1b45b90239191cdc987e250cb0ce0b123af367ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0e4a-7d13-a779-9fc524da9466"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b513859dd60780eab750f5fd657b2cc6ead2944 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0e4a-7d13-a779-9fc524da9466"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..80accc72a770c080e62f6981c9066c99e9de6e91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-1d74-7633-92c1-5f5fd54c16cb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..056fee35bbfef7f53615db5c0f7908f63f9abd20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-1d74-7633-92c1-5f5fd54c16cb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_115e551e0f0b1c16/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3f82d9255f9bbdce3b3deaf87fb83e9e6dd18e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=sc_w, condition_col=int_memory. +Result preview: [{"sc_w": "16", "condition_rate": 0.06896551724137931}, {"sc_w": "15", "condition_rate": 0.06451612903225806}, {"sc_w": "0", "condition_rate": 0.044444444444444446}, {"sc_w": "1", "condition_rate": 0.03333333333333333}, {"sc_w": "6", "condition_rate": 0.03076923076923077}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0be687b0d241c3cde67e03cd1858b82cc1e56041 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_11676563e41fce18 +-- problem_id: v2p_m10_273b0e814741f758 +-- realization_mode: agent +-- source_kind: agent +SELECT "sc_w", + AVG(CASE WHEN "int_memory" = '14' THEN 1 ELSE 0 END) AS condition_rate +FROM "m10" +GROUP BY "sc_w" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d49eb0e64d2ac966d9a1528dc0d3da5ce9452ad8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"sc_w\",\n AVG(CASE WHEN \"int_memory\" = '14' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m10\"\nGROUP BY \"sc_w\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sc_w\\\",\\n AVG(CASE WHEN \\\"int_memory\\\" = '14' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"sc_w\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"sc_w\", \"condition_rate\"], \"rows\": [{\"sc_w\": \"16\", \"condition_rate\": 0.06896551724137931}, {\"sc_w\": \"15\", \"condition_rate\": 0.06451612903225806}, {\"sc_w\": \"0\", \"condition_rate\": 0.044444444444444446}, {\"sc_w\": \"1\", \"condition_rate\": 0.03333333333333333}, {\"sc_w\": \"6\", \"condition_rate\": 0.03076923076923077}, {\"sc_w\": \"7\", \"condition_rate\": 0.030303030303030304}, {\"sc_w\": \"12\", \"condition_rate\": 0.029411764705882353}, {\"sc_w\": \"3\", \"condition_rate\": 0.02512562814070352}, {\"sc_w\": \"8\", \"condition_rate\": 0.024}, {\"sc_w\": \"13\", \"condition_rate\": 0.02040816326530612}, {\"sc_w\": \"10\", \"condition_rate\": 0.018691588785046728}, {\"sc_w\": \"5\", \"condition_rate\": 0.018633540372670808}, {\"sc_w\": \"11\", \"condition_rate\": 0.011904761904761904}, {\"sc_w\": \"2\", \"condition_rate\": 0.00641025641025641}, {\"sc_w\": \"9\", \"condition_rate\": 0.0}, {\"sc_w\": \"4\", \"condition_rate\": 0.0}, {\"sc_w\": \"18\", \"condition_rate\": 0.0}, {\"sc_w\": \"17\", \"condition_rate\": 0.0}, {\"sc_w\": \"14\", \"condition_rate\": 0.0}], \"row_count_returned\": 19, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.94}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fd3f316d6b198a2ad69f8673a6724f5dc772dd87 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:00:30.753721+00:00", + "ended_at": "2026-05-19T16:00:40.786799+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_11676563e41fce18", + "problem_id": "v2p_m10_273b0e814741f758", + "dataset_id": "m10", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=sc_w, condition_col=int_memory.", + "bindings": { + "group_col": "sc_w", + "condition_col": "int_memory", + "condition_value": "14", + "positive_value": "27", + "negative_value": "14", + "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": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=99" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "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_b/m10/sql/v2q_m10_11676563e41fce18.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_11676563e41fce18", + "api_calls": 0, + "input_tokens": 15277, + "cached_input_tokens": 12032, + "output_tokens": 389, + "total_tokens": 15666, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10024.38, + "sql_execution_elapsed_ms_total": 2.94, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d3d3165f1d619a644de4c2de89568acd58d3db4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:40.782046+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": 10024.38, "started_at": "2026-05-19T16:00:30.755382+00:00", "ended_at": "2026-05-19T16:00:40.779794+00:00", "prompt_metrics": {"chars": 10751, "bytes_utf8": 10751, "lines": 351, "estimated_tokens": null}, "response_metrics": {"chars": 360, "bytes_utf8": 360, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15277, "cached_input_tokens": 12032, "output_tokens": 389, "reasoning_output_tokens": 284}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sc_w\\\",\\n AVG(CASE WHEN \\\"int_memory\\\" = '14' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"sc_w\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the grouped condition rate template to measure, within each \\\"sc_w\\\" group, the proportion of rows where \\\"int_memory\\\" is '14'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..57f88f2c2960a1848f4e930f97817a105c2132b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_11676563e41fce18", + "api_calls": 0, + "input_tokens": 15277, + "cached_input_tokens": 12032, + "output_tokens": 389, + "total_tokens": 15666, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10024.38, + "sql_execution_elapsed_ms_total": 2.94, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1178107ddf5035df/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1178107ddf5035df/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b33fb11b61d5badf198ee0b9a04808b2079a83d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1178107ddf5035df/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0.5", "support": 413, "support_share": 0.2065, "cumulative_support": 413}, {"value_label": "2.8", "support": 85, "support_share": 0.0425, "cumulative_support": 498}, {"value_label": "2.3", "support": 78, "support_share": 0.039, "cumulative_support": 576}, {"value_label": "1.6", "support": 76, "support_share": 0.038, "cumulative_support": 652}, {"value_label": "2.1", "support": 76, "support_share": 0.038, "cumulative_support": 728}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1178107ddf5035df/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1178107ddf5035df/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..089f071c10bb1030a976d884e3b6e9113a26cf13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1178107ddf5035df/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_1178107ddf5035df +-- problem_id: v2p_m10_5328a94d49cf7061 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "clock_speed" AS value_label, COUNT(*) AS support + FROM "m10" + GROUP BY "clock_speed" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1178107ddf5035df/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1178107ddf5035df/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3c4f7923c17611b91c40a52de2a17cf16a8d27e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1178107ddf5035df/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m10_1178107ddf5035df\n-- problem_id: v2p_m10_5328a94d49cf7061\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"clock_speed\" AS value_label, COUNT(*) AS support\n FROM \"m10\"\n GROUP BY \"clock_speed\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m10_1178107ddf5035df\\n-- problem_id: v2p_m10_5328a94d49cf7061\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"clock_speed\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m10\\\"\\n GROUP BY \\\"clock_speed\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0.5\", \"support\": 413, \"support_share\": 0.2065, \"cumulative_support\": 413}, {\"value_label\": \"2.8\", \"support\": 85, \"support_share\": 0.0425, \"cumulative_support\": 498}, {\"value_label\": \"2.3\", \"support\": 78, \"support_share\": 0.039, \"cumulative_support\": 576}, {\"value_label\": \"1.6\", \"support\": 76, \"support_share\": 0.038, \"cumulative_support\": 652}, {\"value_label\": \"2.1\", \"support\": 76, \"support_share\": 0.038, \"cumulative_support\": 728}, {\"value_label\": \"0.6\", \"support\": 74, \"support_share\": 0.037, \"cumulative_support\": 802}, {\"value_label\": \"2.5\", \"support\": 74, \"support_share\": 0.037, \"cumulative_support\": 876}, {\"value_label\": \"1.4\", \"support\": 70, \"support_share\": 0.035, \"cumulative_support\": 946}, {\"value_label\": \"1.3\", \"support\": 68, \"support_share\": 0.034, \"cumulative_support\": 1014}, {\"value_label\": \"1.5\", \"support\": 67, \"support_share\": 0.0335, \"cumulative_support\": 1081}, {\"value_label\": \"2.0\", \"support\": 67, \"support_share\": 0.0335, \"cumulative_support\": 1148}, {\"value_label\": \"1.9\", \"support\": 65, \"support_share\": 0.0325, \"cumulative_support\": 1213}, {\"value_label\": \"0.7\", \"support\": 64, \"support_share\": 0.032, \"cumulative_support\": 1277}, {\"value_label\": \"1.8\", \"support\": 62, \"support_share\": 0.031, \"cumulative_support\": 1339}, {\"value_label\": \"2.9\", \"support\": 62, \"support_share\": 0.031, \"cumulative_support\": 1401}, {\"value_label\": \"1.0\", \"support\": 61, \"support_share\": 0.0305, \"cumulative_support\": 1462}, {\"value_label\": \"1.7\", \"support\": 60, \"support_share\": 0.03, \"cumulative_support\": 1522}, {\"value_label\": \"2.2\", \"support\": 59, \"support_share\": 0.0295, \"cumulative_support\": 1581}, {\"value_label\": \"0.8\", \"support\": 58, \"support_share\": 0.029, \"cumulative_support\": 1639}, {\"value_label\": \"0.9\", \"support\": 58, \"support_share\": 0.029, \"cumulative_support\": 1697}, {\"value_label\": \"2.4\", \"support\": 58, \"support_share\": 0.029, \"cumulative_support\": 1755}, {\"value_label\": \"1.2\", \"support\": 56, \"support_share\": 0.028, \"cumulative_support\": 1811}, {\"value_label\": \"2.6\", \"support\": 55, \"support_share\": 0.0275, \"cumulative_support\": 1866}, {\"value_label\": \"2.7\", \"support\": 55, \"support_share\": 0.0275, \"cumulative_support\": 1921}, {\"value_label\": \"1.1\", \"support\": 51, \"support_share\": 0.0255, \"cumulative_support\": 1972}, {\"value_label\": \"3.0\", \"support\": 28, \"support_share\": 0.014, \"cumulative_support\": 2000}], \"row_count_returned\": 26, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.31}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1178107ddf5035df/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1178107ddf5035df/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1c3fcb5d8d2012e9abec5739ef89bc5028f3f976 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1178107ddf5035df/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.586326+00:00", + "ended_at": "2026-05-19T16:08:44.588486+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_1178107ddf5035df", + "problem_id": "v2p_m10_5328a94d49cf7061", + "dataset_id": "m10", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=clock_speed.", + "bindings": { + "group_col": "clock_speed" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=2", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_1178107ddf5035df.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1178107ddf5035df/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1178107ddf5035df/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1178107ddf5035df/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_119495d38b276a0b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_119495d38b276a0b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c806d7f9341a4be7cabfebd027275127b07725f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_119495d38b276a0b/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 474, "support_share": 0.237, "support_rank": 1}, {"value_label": "1", "support": 245, "support_share": 0.1225, "support_rank": 2}, {"value_label": "2", "support": 189, "support_share": 0.0945, "support_rank": 3}, {"value_label": "3", "support": 170, "support_share": 0.085, "support_rank": 4}, {"value_label": "5", "support": 139, "support_share": 0.0695, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_119495d38b276a0b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_119495d38b276a0b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7d84742e7d106f17a01678af0789efd96b3191bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_119495d38b276a0b/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_119495d38b276a0b +-- problem_id: v2p_m10_c6f4148dcf6681b5 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "fc" AS value_label, COUNT(*) AS support + FROM "m10" + GROUP BY "fc" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_119495d38b276a0b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_119495d38b276a0b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8e68524f3ebd370c12191f03435bee3806bccfc5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_119495d38b276a0b/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\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_m10_119495d38b276a0b\n-- problem_id: v2p_m10_c6f4148dcf6681b5\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"fc\" AS value_label, COUNT(*) AS support\n FROM \"m10\"\n GROUP BY \"fc\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\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_m10_119495d38b276a0b\\n-- problem_id: v2p_m10_c6f4148dcf6681b5\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"fc\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m10\\\"\\n GROUP BY \\\"fc\\\"\\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\": 474, \"support_share\": 0.237, \"support_rank\": 1}, {\"value_label\": \"1\", \"support\": 245, \"support_share\": 0.1225, \"support_rank\": 2}, {\"value_label\": \"2\", \"support\": 189, \"support_share\": 0.0945, \"support_rank\": 3}, {\"value_label\": \"3\", \"support\": 170, \"support_share\": 0.085, \"support_rank\": 4}, {\"value_label\": \"5\", \"support\": 139, \"support_share\": 0.0695, \"support_rank\": 5}, {\"value_label\": \"4\", \"support\": 133, \"support_share\": 0.0665, \"support_rank\": 6}, {\"value_label\": \"6\", \"support\": 112, \"support_share\": 0.056, \"support_rank\": 7}, {\"value_label\": \"7\", \"support\": 100, \"support_share\": 0.05, \"support_rank\": 8}, {\"value_label\": \"9\", \"support\": 78, \"support_share\": 0.039, \"support_rank\": 9}, {\"value_label\": \"8\", \"support\": 77, \"support_share\": 0.0385, \"support_rank\": 10}, {\"value_label\": \"10\", \"support\": 62, \"support_share\": 0.031, \"support_rank\": 11}, {\"value_label\": \"11\", \"support\": 51, \"support_share\": 0.0255, \"support_rank\": 12}, {\"value_label\": \"12\", \"support\": 45, \"support_share\": 0.0225, \"support_rank\": 13}, {\"value_label\": \"13\", \"support\": 40, \"support_share\": 0.02, \"support_rank\": 14}, {\"value_label\": \"16\", \"support\": 24, \"support_share\": 0.012, \"support_rank\": 15}, {\"value_label\": \"15\", \"support\": 23, \"support_share\": 0.0115, \"support_rank\": 16}, {\"value_label\": \"14\", \"support\": 20, \"support_share\": 0.01, \"support_rank\": 17}, {\"value_label\": \"18\", \"support\": 11, \"support_share\": 0.0055, \"support_rank\": 18}, {\"value_label\": \"17\", \"support\": 6, \"support_share\": 0.003, \"support_rank\": 19}, {\"value_label\": \"19\", \"support\": 1, \"support_share\": 0.0005, \"support_rank\": 20}], \"row_count_returned\": 20, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.02}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_119495d38b276a0b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_119495d38b276a0b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..71cdd5c51c42fb13afd09686544159402340ef27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_119495d38b276a0b/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.621231+00:00", + "ended_at": "2026-05-19T16:08:44.622906+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_119495d38b276a0b", + "problem_id": "v2p_m10_c6f4148dcf6681b5", + "dataset_id": "m10", + "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=fc.", + "bindings": { + "group_col": "fc" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_119495d38b276a0b.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_119495d38b276a0b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_119495d38b276a0b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_119495d38b276a0b/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e43791cb03f2dbea1a5e48525bfd744f4eac7536 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10451, "bytes_utf8": 10451, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 15206, "cached_input_tokens": 12032, "output_tokens": 279, "reasoning_output_tokens": 170}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a865af94fa3ce9adf51535de6e93bdc17d62e1ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_12258b9956c95e37", + "api_calls": 0, + "input_tokens": 15206, + "cached_input_tokens": 12032, + "output_tokens": 279, + "total_tokens": 15485, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8719.46, + "sql_execution_elapsed_ms_total": 0.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0155a751789a4263ae37c2ed74bdd6d3afcb4cdf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:57.068281+00:00", + "ended_at": "2026-05-19T16:03:05.787774+00:00", + "elapsed_ms": 8719.46, + "prompt_metrics": { + "chars": 10451, + "bytes_utf8": 10451, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 749, + "bytes_utf8": 749, + "lines": 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": 15206, + "cached_input_tokens": 12032, + "output_tokens": 279, + "reasoning_output_tokens": 170 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a6e9835035fcd285e888e1b2b90f70415beec1ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=clock_speed.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "clock_speed", + "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": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab3e6146f0641aac4c4698feecc8de0be121ec08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-dcb2-7a50-8238-c6e6f5627533"} +{"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(\\\"clock_speed\\\" AS REAL) <= 2.2 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m10\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col=\\\"clock_speed\\\" and measure_threshold=2.2. CAST to REAL ensures correct numeric comparison because the column is stored as TEXT in the SQLite schema snapshot.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15206,"cached_input_tokens":12032,"output_tokens":279,"reasoning_output_tokens":170}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..573279f4d9f449131f54415276dc8f5fba592a1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"clock_speed\" AS REAL) <= 2.2 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m10\";","notes":"Applied the Threshold Rarity CDF template with measure_col=\"clock_speed\" and measure_threshold=2.2. CAST to REAL ensures correct numeric comparison because the column is stored as TEXT in the SQLite schema snapshot."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12258b9956c95e37/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fbea356728e2b4469083c7a903945a16e303ca6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/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=touch_screen, measure_col=price_range. +Result preview: [{"touch_screen": "0", "clock_speed": "0.5", "total_measure": 323.0, "share_within_group": 21.18032786885246}, {"touch_screen": "1", "clock_speed": "0.5", "total_measure": 283.0, "share_within_group": 19.1864406779661}, {"touch_screen": "0", "clock_speed": "2.1", "total_measure": 80.0, "share_within_group": 5.245901639344262}, {"touch_screen": "0", "clock_speed": "2.8", "total_measure": 76.0, "share_within_group": 4.983606557377049}, {"touch_screen": "0", "clock_speed": "1.3", "total_measure": 70.0, "share_within_group": 4.590163934426229}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6fae7c7f9cc48c59334f5e7e463e52f3855a1236 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_12826a90b9070fd6 +-- problem_id: v2p_m10_a46bb28b345fa48b +-- realization_mode: agent +-- source_kind: agent +SELECT + "touch_screen", + "clock_speed", + SUM(CAST("price_range" AS REAL)) AS "total_measure", + SUM(CAST("price_range" AS REAL)) * 100.0 / + SUM(SUM(CAST("price_range" AS REAL))) OVER (PARTITION BY "touch_screen") AS "share_within_group" +FROM "m10" +GROUP BY "touch_screen", "clock_speed" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e7d458983cefafee6710025675e946122631ca9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/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 \"touch_screen\",\n \"clock_speed\",\n SUM(CAST(\"price_range\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"price_range\" AS REAL)) * 100.0 /\n SUM(SUM(CAST(\"price_range\" AS REAL))) OVER (PARTITION BY \"touch_screen\") AS \"share_within_group\"\nFROM \"m10\"\nGROUP BY \"touch_screen\", \"clock_speed\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"touch_screen\\\",\\n \\\"clock_speed\\\",\\n SUM(CAST(\\\"price_range\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"price_range\\\" AS REAL)) * 100.0 /\\n SUM(SUM(CAST(\\\"price_range\\\" AS REAL))) OVER (PARTITION BY \\\"touch_screen\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"touch_screen\\\", \\\"clock_speed\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"touch_screen\", \"clock_speed\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"touch_screen\": \"0\", \"clock_speed\": \"0.5\", \"total_measure\": 323.0, \"share_within_group\": 21.18032786885246}, {\"touch_screen\": \"1\", \"clock_speed\": \"0.5\", \"total_measure\": 283.0, \"share_within_group\": 19.1864406779661}, {\"touch_screen\": \"0\", \"clock_speed\": \"2.1\", \"total_measure\": 80.0, \"share_within_group\": 5.245901639344262}, {\"touch_screen\": \"0\", \"clock_speed\": \"2.8\", \"total_measure\": 76.0, \"share_within_group\": 4.983606557377049}, {\"touch_screen\": \"0\", \"clock_speed\": \"1.3\", \"total_measure\": 70.0, \"share_within_group\": 4.590163934426229}, {\"touch_screen\": \"0\", \"clock_speed\": \"1.4\", \"total_measure\": 70.0, \"share_within_group\": 4.590163934426229}, {\"touch_screen\": \"0\", \"clock_speed\": \"0.7\", \"total_measure\": 66.0, \"share_within_group\": 4.327868852459017}, {\"touch_screen\": \"1\", \"clock_speed\": \"1.5\", \"total_measure\": 63.0, \"share_within_group\": 4.271186440677966}, {\"touch_screen\": \"1\", \"clock_speed\": \"1.6\", \"total_measure\": 63.0, \"share_within_group\": 4.271186440677966}, {\"touch_screen\": \"1\", \"clock_speed\": \"2.2\", \"total_measure\": 63.0, \"share_within_group\": 4.271186440677966}, {\"touch_screen\": \"0\", \"clock_speed\": \"1.6\", \"total_measure\": 65.0, \"share_within_group\": 4.262295081967213}, {\"touch_screen\": \"0\", \"clock_speed\": \"2.5\", \"total_measure\": 62.0, \"share_within_group\": 4.065573770491803}, {\"touch_screen\": \"0\", \"clock_speed\": \"2.3\", \"total_measure\": 61.0, \"share_within_group\": 4.0}, {\"touch_screen\": \"1\", \"clock_speed\": \"0.6\", \"total_measure\": 57.0, \"share_within_group\": 3.864406779661017}, {\"touch_screen\": \"1\", \"clock_speed\": \"2.0\", \"total_measure\": 57.0, \"share_within_group\": 3.864406779661017}, {\"touch_screen\": \"1\", \"clock_speed\": \"1.2\", \"total_measure\": 56.0, \"share_within_group\": 3.7966101694915255}, {\"touch_screen\": \"1\", \"clock_speed\": \"2.3\", \"total_measure\": 55.0, \"share_within_group\": 3.7288135593220337}, {\"touch_screen\": \"1\", \"clock_speed\": \"2.8\", \"total_measure\": 55.0, \"share_within_group\": 3.7288135593220337}, {\"touch_screen\": \"1\", \"clock_speed\": \"1.3\", \"total_measure\": 54.0, \"share_within_group\": 3.6610169491525424}, {\"touch_screen\": \"1\", \"clock_speed\": \"2.9\", \"total_measure\": 51.0, \"share_within_group\": 3.457627118644068}, {\"touch_screen\": \"1\", \"clock_speed\": \"0.9\", \"total_measure\": 50.0, \"share_within_group\": 3.389830508474576}, {\"touch_screen\": \"1\", \"clock_speed\": \"1.4\", \"total_measure\": 50.0, \"share_within_group\": 3.389830508474576}, {\"touch_screen\": \"0\", \"clock_speed\": \"1.9\", \"total_measure\": 51.0, \"share_within_group\": 3.3442622950819674}, {\"touch_screen\": \"0\", \"clock_speed\": \"2.0\", \"total_measure\": 51.0, \"share_within_group\": 3.3442622950819674}, {\"touch_screen\": \"1\", \"clock_speed\": \"2.5\", \"total_measure\": 49.0, \"share_within_group\": 3.3220338983050848}, {\"touch_screen\": \"0\", \"clock_speed\": \"1.8\", \"total_measure\": 49.0, \"share_within_group\": 3.2131147540983607}, {\"touch_screen\": \"1\", \"clock_speed\": \"1.1\", \"total_measure\": 47.0, \"share_within_group\": 3.1864406779661016}, {\"touch_screen\": \"1\", \"clock_speed\": \"0.8\", \"total_measure\": 46.0, \"share_within_group\": 3.1186440677966103}, {\"touch_screen\": \"1\", \"clock_speed\": \"2.1\", \"total_measure\": 46.0, \"share_within_group\": 3.1186440677966103}, {\"touch_screen\": \"1\", \"clock_speed\": \"1.9\", \"total_measure\": 45.0, \"share_within_group\": 3.0508474576271185}, {\"touch_screen\": \"0\", \"clock_speed\": \"2.6\", \"total_measure\": 46.0, \"share_within_group\": 3.0163934426229506}, {\"touch_screen\": \"1\", \"clock_speed\": \"1.0\", \"total_measure\": 44.0, \"share_within_group\": 2.983050847457627}, {\"touch_screen\": \"0\", \"clock_speed\": \"0.6\", \"total_measure\": 45.0, \"share_within_group\": 2.9508196721311477}, {\"touch_screen\": \"1\", \"clock_speed\": \"1.8\", \"total_measure\": 43.0, \"share_within_group\": 2.9152542372881354}, {\"touch_screen\": \"1\", \"clock_speed\": \"1.7\", \"total_measure\": 41.0, \"share_within_group\": 2.7796610169491527}, {\"touch_screen\": \"1\", \"clock_speed\": \"2.7\", \"total_measure\": 41.0, \"share_within_group\": 2.7796610169491527}, {\"touch_screen\": \"0\", \"clock_speed\": \"0.8\", \"total_measure\": 42.0, \"share_within_group\": 2.7540983606557377}, {\"touch_screen\": \"0\", \"clock_speed\": \"1.0\", \"total_measure\": 41.0, \"share_within_group\": 2.6885245901639343}, {\"touch_screen\": \"0\", \"clock_speed\": \"1.5\", \"total_measure\": 41.0, \"share_within_group\": 2.6885245901639343}, {\"touch_screen\": \"0\", \"clock_speed\": \"1.7\", \"total_measure\": 39.0, \"share_within_group\": 2.557377049180328}, {\"touch_screen\": \"0\", \"clock_speed\": \"2.2\", \"total_measure\": 38.0, \"share_within_group\": 2.4918032786885247}, {\"touch_screen\": \"0\", \"clock_speed\": \"1.1\", \"total_measure\": 37.0, \"share_within_group\": 2.4262295081967213}, {\"touch_screen\": \"1\", \"clock_speed\": \"2.4\", \"total_measure\": 35.0, \"share_within_group\": 2.3728813559322033}, {\"touch_screen\": \"1\", \"clock_speed\": \"2.6\", \"total_measure\": 33.0, \"share_within_group\": 2.23728813559322}, {\"touch_screen\": \"0\", \"clock_speed\": \"2.4\", \"total_measure\": 33.0, \"share_within_group\": 2.1639344262295084}, {\"touch_screen\": \"0\", \"clock_speed\": \"2.9\", \"total_measure\": 32.0, \"share_within_group\": 2.098360655737705}, {\"touch_screen\": \"0\", \"clock_speed\": \"0.9\", \"total_measure\": 31.0, \"share_within_group\": 2.0327868852459017}, {\"touch_screen\": \"0\", \"clock_speed\": \"2.7\", \"total_measure\": 29.0, \"share_within_group\": 1.901639344262295}, {\"touch_screen\": \"1\", \"clock_speed\": \"0.7\", \"total_measure\": 28.0, \"share_within_group\": 1.8983050847457628}, {\"touch_screen\": \"0\", \"clock_speed\": \"1.2\", \"total_measure\": 28.0, \"share_within_group\": 1.8360655737704918}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.64}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e6b532758f5a8d9587111332d2c1f9de47b2d663 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:35:22.893944+00:00", + "ended_at": "2026-05-19T15:35:38.836035+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_12826a90b9070fd6", + "problem_id": "v2p_m10_a46bb28b345fa48b", + "dataset_id": "m10", + "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=touch_screen, measure_col=price_range.", + "bindings": { + "group_col": "touch_screen", + "measure_col": "price_range", + "item_col": "clock_speed", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m10/sql/v2q_m10_12826a90b9070fd6.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_12826a90b9070fd6", + "api_calls": 0, + "input_tokens": 15335, + "cached_input_tokens": 12032, + "output_tokens": 659, + "total_tokens": 15994, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15930.48, + "sql_execution_elapsed_ms_total": 4.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c568833dc915a47eab7e644186fe42fea7bacbb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:38.828209+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": 15930.48, "started_at": "2026-05-19T15:35:22.896104+00:00", "ended_at": "2026-05-19T15:35:38.826629+00:00", "prompt_metrics": {"chars": 10932, "bytes_utf8": 10932, "lines": 350, "estimated_tokens": null}, "response_metrics": {"chars": 629, "bytes_utf8": 629, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15335, "cached_input_tokens": 12032, "output_tokens": 659, "reasoning_output_tokens": 485}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"touch_screen\\\",\\n \\\"clock_speed\\\",\\n SUM(CAST(\\\"price_range\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"price_range\\\" AS REAL)) * 100.0 /\\n SUM(SUM(CAST(\\\"price_range\\\" AS REAL))) OVER (PARTITION BY \\\"touch_screen\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"touch_screen\\\", \\\"clock_speed\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Used the required template with group_col=\\\"touch_screen\\\", item_col=\\\"clock_speed\\\", and measure_col=\\\"price_range\\\". Casted \\\"price_range\\\" from TEXT to REAL for correct numeric aggregation in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..334780fa286b7508dc1467aab56de81bf94c8a11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_12826a90b9070fd6", + "api_calls": 0, + "input_tokens": 15335, + "cached_input_tokens": 12032, + "output_tokens": 659, + "total_tokens": 15994, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15930.48, + "sql_execution_elapsed_ms_total": 4.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..db635d41eeab13edf0e51a3ec1f6af2e5b9ac756 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/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=four_g, group_col_2=m_dep. +Result preview: [{"four_g": "1", "m_dep": "0.2", "row_count": 39}, {"four_g": "0", "m_dep": "0.1", "row_count": 38}, {"four_g": "0", "m_dep": "0.5", "row_count": 34}, {"four_g": "1", "m_dep": "0.1", "row_count": 34}, {"four_g": "1", "m_dep": "0.8", "row_count": 33}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..23af8127c6626d5e640e94b57a7997ad420d2b80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_12d59e0f4b0bb0a8 +-- problem_id: v2p_m10_e19fdf008a66a4de +-- realization_mode: agent +-- source_kind: agent +SELECT "four_g", "m_dep", COUNT(*) AS row_count +FROM "m10" +WHERE CAST("mobile_wt" AS REAL) >= 170.0 +GROUP BY "four_g", "m_dep" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c6cd8a2a249dd8ec230e428ff513f837e9ee5924 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/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 \"four_g\", \"m_dep\", COUNT(*) AS row_count\nFROM \"m10\"\nWHERE CAST(\"mobile_wt\" AS REAL) >= 170.0\nGROUP BY \"four_g\", \"m_dep\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"four_g\\\", \\\"m_dep\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"mobile_wt\\\" AS REAL) >= 170.0\\nGROUP BY \\\"four_g\\\", \\\"m_dep\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"four_g\", \"m_dep\", \"row_count\"], \"rows\": [{\"four_g\": \"1\", \"m_dep\": \"0.2\", \"row_count\": 39}, {\"four_g\": \"0\", \"m_dep\": \"0.1\", \"row_count\": 38}, {\"four_g\": \"0\", \"m_dep\": \"0.5\", \"row_count\": 34}, {\"four_g\": \"1\", \"m_dep\": \"0.1\", \"row_count\": 34}, {\"four_g\": \"1\", \"m_dep\": \"0.8\", \"row_count\": 33}, {\"four_g\": \"0\", \"m_dep\": \"0.6\", \"row_count\": 32}, {\"four_g\": \"1\", \"m_dep\": \"0.9\", \"row_count\": 30}, {\"four_g\": \"0\", \"m_dep\": \"0.8\", \"row_count\": 29}, {\"four_g\": \"1\", \"m_dep\": \"0.3\", \"row_count\": 25}, {\"four_g\": \"0\", \"m_dep\": \"0.4\", \"row_count\": 24}, {\"four_g\": \"1\", \"m_dep\": \"0.7\", \"row_count\": 24}, {\"four_g\": \"0\", \"m_dep\": \"0.7\", \"row_count\": 23}, {\"four_g\": \"0\", \"m_dep\": \"0.2\", \"row_count\": 22}, {\"four_g\": \"1\", \"m_dep\": \"0.6\", \"row_count\": 21}, {\"four_g\": \"1\", \"m_dep\": \"0.4\", \"row_count\": 20}, {\"four_g\": \"1\", \"m_dep\": \"0.5\", \"row_count\": 20}, {\"four_g\": \"0\", \"m_dep\": \"0.9\", \"row_count\": 19}, {\"four_g\": \"0\", \"m_dep\": \"0.3\", \"row_count\": 17}, {\"four_g\": \"1\", \"m_dep\": \"1.0\", \"row_count\": 15}, {\"four_g\": \"0\", \"m_dep\": \"1.0\", \"row_count\": 14}], \"row_count_returned\": 20, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.99}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1e3edbb23aa4566a890f18d4f16392fc81ba3196 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:41:19.428862+00:00", + "ended_at": "2026-05-19T15:41:27.889493+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_12d59e0f4b0bb0a8", + "problem_id": "v2p_m10_e19fdf008a66a4de", + "dataset_id": "m10", + "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=four_g, group_col_2=m_dep.", + "bindings": { + "group_col": "four_g", + "group_col_2": "m_dep", + "predicate_col": "mobile_wt", + "predicate_op": ">=", + "predicate_value": 170.0, + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=3", + "sql_variant_index=1/1", + "binding_index=50" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_12d59e0f4b0bb0a8.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_12d59e0f4b0bb0a8", + "api_calls": 0, + "input_tokens": 15313, + "cached_input_tokens": 14720, + "output_tokens": 317, + "total_tokens": 15630, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8456.03, + "sql_execution_elapsed_ms_total": 0.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a7f947f00264e2cec1a013d58601447017f10418 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:27.887168+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": 8456.03, "started_at": "2026-05-19T15:41:19.430277+00:00", "ended_at": "2026-05-19T15:41:27.886335+00:00", "prompt_metrics": {"chars": 10815, "bytes_utf8": 10815, "lines": 352, "estimated_tokens": null}, "response_metrics": {"chars": 416, "bytes_utf8": 416, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15313, "cached_input_tokens": 14720, "output_tokens": 317, "reasoning_output_tokens": 191}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"four_g\\\", \\\"m_dep\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"mobile_wt\\\" AS REAL) >= 170.0\\nGROUP BY \\\"four_g\\\", \\\"m_dep\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the required template with group_col=\\\"four_g\\\", group_col_2=\\\"m_dep\\\", and predicate on \\\"mobile_wt\\\". Cast \\\"mobile_wt\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..48730f750a951e51eb6d2f094364a910b91ab482 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_12d59e0f4b0bb0a8", + "api_calls": 0, + "input_tokens": 15313, + "cached_input_tokens": 14720, + "output_tokens": 317, + "total_tokens": 15630, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8456.03, + "sql_execution_elapsed_ms_total": 0.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8aad74a722e3cf674fa918065092fb48d9f06ed3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/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=clock_speed, measure_col=clock_speed. +Result preview: [{"clock_speed": "2.8", "total_measure": 237.99999999999997}, {"clock_speed": "0.5", "total_measure": 206.5}, {"clock_speed": "2.5", "total_measure": 185.0}, {"clock_speed": "2.9", "total_measure": 179.79999999999998}, {"clock_speed": "2.3", "total_measure": 179.39999999999998}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f26092668f66a37f8a7a8528c4dd6abd9877d2c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_14cb40ca717f431e +-- problem_id: v2p_m10_ab99adddf96cadfe +-- realization_mode: agent +-- source_kind: agent +SELECT "clock_speed", SUM(CAST("clock_speed" AS REAL)) AS total_measure +FROM "m10" +GROUP BY "clock_speed" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..26578e5e938032d3ed4a91810965e5b35faa1bce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/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 \"clock_speed\", SUM(CAST(\"clock_speed\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"clock_speed\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"clock_speed\\\", SUM(CAST(\\\"clock_speed\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"clock_speed\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"clock_speed\", \"total_measure\"], \"rows\": [{\"clock_speed\": \"2.8\", \"total_measure\": 237.99999999999997}, {\"clock_speed\": \"0.5\", \"total_measure\": 206.5}, {\"clock_speed\": \"2.5\", \"total_measure\": 185.0}, {\"clock_speed\": \"2.9\", \"total_measure\": 179.79999999999998}, {\"clock_speed\": \"2.3\", \"total_measure\": 179.39999999999998}, {\"clock_speed\": \"2.1\", \"total_measure\": 159.6}, {\"clock_speed\": \"2.7\", \"total_measure\": 148.5}, {\"clock_speed\": \"2.6\", \"total_measure\": 143.0}, {\"clock_speed\": \"2.4\", \"total_measure\": 139.2}, {\"clock_speed\": \"2.0\", \"total_measure\": 134.0}, {\"clock_speed\": \"2.2\", \"total_measure\": 129.8}, {\"clock_speed\": \"1.9\", \"total_measure\": 123.5}, {\"clock_speed\": \"1.6\", \"total_measure\": 121.60000000000001}, {\"clock_speed\": \"1.8\", \"total_measure\": 111.60000000000001}, {\"clock_speed\": \"1.7\", \"total_measure\": 102.0}, {\"clock_speed\": \"1.5\", \"total_measure\": 100.5}, {\"clock_speed\": \"1.4\", \"total_measure\": 98.0}, {\"clock_speed\": \"1.3\", \"total_measure\": 88.4}, {\"clock_speed\": \"3.0\", \"total_measure\": 84.0}, {\"clock_speed\": \"1.2\", \"total_measure\": 67.2}, {\"clock_speed\": \"1.0\", \"total_measure\": 61.0}, {\"clock_speed\": \"1.1\", \"total_measure\": 56.1}, {\"clock_speed\": \"0.9\", \"total_measure\": 52.2}, {\"clock_speed\": \"0.8\", \"total_measure\": 46.400000000000006}, {\"clock_speed\": \"0.7\", \"total_measure\": 44.8}, {\"clock_speed\": \"0.6\", \"total_measure\": 44.4}], \"row_count_returned\": 26, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.61}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fb4d6e8ca19b9d686e496e90712011fd0fc3698c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:28:48.654517+00:00", + "ended_at": "2026-05-19T15:29:03.768770+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_14cb40ca717f431e", + "problem_id": "v2p_m10_ab99adddf96cadfe", + "dataset_id": "m10", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=clock_speed, measure_col=clock_speed.", + "bindings": { + "group_col": "clock_speed", + "measure_col": "clock_speed", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=1" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_14cb40ca717f431e.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_14cb40ca717f431e", + "api_calls": 0, + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 364, + "total_tokens": 15581, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15107.69, + "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_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a176eee03a40949a2264077bddd680fdd5b8bbdd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:03.765871+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": 15107.69, "started_at": "2026-05-19T15:28:48.656682+00:00", "ended_at": "2026-05-19T15:29:03.764419+00:00", "prompt_metrics": {"chars": 10523, "bytes_utf8": 10523, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 385, "bytes_utf8": 385, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15217, "cached_input_tokens": 12032, "output_tokens": 364, "reasoning_output_tokens": 265}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"clock_speed\\\", SUM(CAST(\\\"clock_speed\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"clock_speed\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"clock_speed\\\" and measure_col=\\\"clock_speed\\\". CAST to REAL is included because the schema stores numeric-looking values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c463a24775d9a7a113d8d566b209090da4b3a6bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_14cb40ca717f431e", + "api_calls": 0, + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 364, + "total_tokens": 15581, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15107.69, + "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_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..43ef6134f084f3e9ca015989d420a88467f99b48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:07:12.209648+00:00", + "ended_at": "2026-05-19T16:07:19.578665+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_14ec957820bc06d3", + "problem_id": "v2p_m10_99142cfc8a7c830f", + "dataset_id": "m10", + "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=clock_speed, measure_col=sc_h.", + "bindings": { + "group_col": "clock_speed", + "measure_col": "sc_h", + "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": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=136" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cf1209be6f708ece5064112a5db0929767e4238a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:14.937423+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": 2723.58, "started_at": "2026-05-19T16:07:12.211999+00:00", "ended_at": "2026-05-19T16:07:14.935614+00:00", "prompt_metrics": {"chars": 10594, "bytes_utf8": 10594, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-c14f-71c2-b332-910cf8364e7b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:19.578578+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": 3639.38, "started_at": "2026-05-19T16:07:15.938397+00:00", "ended_at": "2026-05-19T16:07:19.577808+00:00", "prompt_metrics": {"chars": 10594, "bytes_utf8": 10594, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-d003-7891-bacc-0f09cba53dc2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5cd2566b3882a4c7205d40aee36d8710f217ba7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=sc_h, condition_col=price_range. +Result preview: [{"sc_h": "14", "condition_rate": 0.3356643356643357}, {"sc_h": "11", "condition_rate": 0.31746031746031744}, {"sc_h": "19", "condition_rate": 0.3064516129032258}, {"sc_h": "6", "condition_rate": 0.2719298245614035}, {"sc_h": "10", "condition_rate": 0.264}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1620b72c38fe892c46d14784d8761afb0a24a616 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_1502618ef1e507e6 +-- problem_id: v2p_m10_7631a2446bf21fbf +-- realization_mode: agent +-- source_kind: agent +SELECT "sc_h", + AVG(CASE WHEN "price_range" = '0' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m10" +GROUP BY "sc_h" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..390672a3a1f28cdee4c6deca3fcb4601444306fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"sc_h\",\n AVG(CASE WHEN \"price_range\" = '0' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m10\"\nGROUP BY \"sc_h\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sc_h\\\",\\n AVG(CASE WHEN \\\"price_range\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"sc_h\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"sc_h\", \"condition_rate\"], \"rows\": [{\"sc_h\": \"14\", \"condition_rate\": 0.3356643356643357}, {\"sc_h\": \"11\", \"condition_rate\": 0.31746031746031744}, {\"sc_h\": \"19\", \"condition_rate\": 0.3064516129032258}, {\"sc_h\": \"6\", \"condition_rate\": 0.2719298245614035}, {\"sc_h\": \"10\", \"condition_rate\": 0.264}, {\"sc_h\": \"16\", \"condition_rate\": 0.25874125874125875}, {\"sc_h\": \"5\", \"condition_rate\": 0.24742268041237114}, {\"sc_h\": \"9\", \"condition_rate\": 0.24193548387096775}, {\"sc_h\": \"15\", \"condition_rate\": 0.23703703703703705}, {\"sc_h\": \"12\", \"condition_rate\": 0.22929936305732485}, {\"sc_h\": \"7\", \"condition_rate\": 0.2251655629139073}, {\"sc_h\": \"8\", \"condition_rate\": 0.2222222222222222}, {\"sc_h\": \"17\", \"condition_rate\": 0.21243523316062177}, {\"sc_h\": \"18\", \"condition_rate\": 0.20833333333333334}, {\"sc_h\": \"13\", \"condition_rate\": 0.19083969465648856}], \"row_count_returned\": 15, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.28}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4ba01dd609a224346f8c31879e8e69692b92d488 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:00:00.093589+00:00", + "ended_at": "2026-05-19T16:00:08.841238+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_1502618ef1e507e6", + "problem_id": "v2p_m10_7631a2446bf21fbf", + "dataset_id": "m10", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=sc_h, condition_col=price_range.", + "bindings": { + "group_col": "sc_h", + "condition_col": "price_range", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=98" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_1502618ef1e507e6.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_1502618ef1e507e6", + "api_calls": 0, + "input_tokens": 15279, + "cached_input_tokens": 12032, + "output_tokens": 319, + "total_tokens": 15598, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8741.39, + "sql_execution_elapsed_ms_total": 1.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7c3e3255bcf764492fae2916b25743fe716e4bb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:08.838092+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": 8741.39, "started_at": "2026-05-19T16:00:00.095931+00:00", "ended_at": "2026-05-19T16:00:08.837339+00:00", "prompt_metrics": {"chars": 10761, "bytes_utf8": 10761, "lines": 351, "estimated_tokens": null}, "response_metrics": {"chars": 455, "bytes_utf8": 455, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15279, "cached_input_tokens": 12032, "output_tokens": 319, "reasoning_output_tokens": 195}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sc_h\\\",\\n AVG(CASE WHEN \\\"price_range\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"sc_h\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with group_col bound to \\\"sc_h\\\" and condition_col bound to \\\"price_range\\\". Compares against '0' as a text literal because the SQLite schema snapshot shows TEXT columns.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e1604b1301374d248cad91d1e505c670691abf52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_1502618ef1e507e6", + "api_calls": 0, + "input_tokens": 15279, + "cached_input_tokens": 12032, + "output_tokens": 319, + "total_tokens": 15598, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8741.39, + "sql_execution_elapsed_ms_total": 1.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c4746bc14dfd58e3cbf5a6a000f0762f47061776 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10410, "bytes_utf8": 10410, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 273, "bytes_utf8": 273, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15188, "cached_input_tokens": 14720, "output_tokens": 164, "reasoning_output_tokens": 93}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..15bbabe3307c93336036fee3932392da1313d73e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_15257ddf85c4e420", + "api_calls": 0, + "input_tokens": 15188, + "cached_input_tokens": 14720, + "output_tokens": 164, + "total_tokens": 15352, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9109.79, + "sql_execution_elapsed_ms_total": 1.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ce5780d704d3097aefb81a53c6dbd1c0f89793d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:32:38.925227+00:00", + "ended_at": "2026-05-19T15:32:48.035039+00:00", + "elapsed_ms": 9109.79, + "prompt_metrics": { + "chars": 10410, + "bytes_utf8": 10410, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 618, + "bytes_utf8": 618, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 273, + "bytes_utf8": 273, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15188, + "cached_input_tokens": 14720, + "output_tokens": 164, + "reasoning_output_tokens": 93 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..29d1c6fef414b4015ff6555c94b100ba7a67073c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=blue.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "blue", + "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": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3bde18028e6fc9ecead91fd17d6e15b9a9420251 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-1eb5-7903-8ccb-9d3fa1afc237"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"blue\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nGROUP BY \\\"blue\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned grouped-count template with group_col bound to \\\"blue\\\" to inspect subgroup size distribution.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15188,"cached_input_tokens":14720,"output_tokens":164,"reasoning_output_tokens":93}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a89e6d7e60b203640181ede563855b37632716d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"blue\", COUNT(*) AS row_count\nFROM \"m10\"\nGROUP BY \"blue\"\nORDER BY row_count DESC;","notes":"Uses the planned grouped-count template with group_col bound to \"blue\" to inspect subgroup size distribution."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_15257ddf85c4e420/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b03240e278be3921ef3d657d919654af63436da1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/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=talk_time, measure_col=sc_w. +Result preview: [{"talk_time": "20", "ram": "1457", "total_measure": 26.0, "share_within_group": 4.506065857885615}, {"talk_time": "11", "ram": "3704", "total_measure": 22.0, "share_within_group": 3.949730700179533}, {"talk_time": "17", "ram": "3033", "total_measure": 19.0, "share_within_group": 3.4296028880866425}, {"talk_time": "5", "ram": "1243", "total_measure": 18.0, "share_within_group": 3.339517625231911}, {"talk_time": "14", "ram": "1601", "total_measure": 17.0, "share_within_group": 3.3203125}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..976d4b5f18250d64d6ccc6cc34a339b2d3c9bd7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_157aa49adc727aed +-- problem_id: v2p_m10_4b8a616802c31b6e +-- realization_mode: agent +-- source_kind: agent +SELECT "talk_time", "ram", + SUM(CAST("sc_w" AS REAL)) AS "total_measure", + SUM(CAST("sc_w" AS REAL)) * 100.0 / SUM(SUM(CAST("sc_w" AS REAL))) OVER (PARTITION BY "talk_time") AS "share_within_group" +FROM "m10" +GROUP BY "talk_time", "ram" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..be3a67bda3a24b5b85d5fe01c3f5258f5a73c452 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/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 \"talk_time\", \"ram\",\n SUM(CAST(\"sc_w\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"sc_w\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"sc_w\" AS REAL))) OVER (PARTITION BY \"talk_time\") AS \"share_within_group\"\nFROM \"m10\"\nGROUP BY \"talk_time\", \"ram\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"talk_time\\\", \\\"ram\\\",\\n SUM(CAST(\\\"sc_w\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"sc_w\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"sc_w\\\" AS REAL))) OVER (PARTITION BY \\\"talk_time\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"talk_time\\\", \\\"ram\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"talk_time\", \"ram\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"talk_time\": \"20\", \"ram\": \"1457\", \"total_measure\": 26.0, \"share_within_group\": 4.506065857885615}, {\"talk_time\": \"11\", \"ram\": \"3704\", \"total_measure\": 22.0, \"share_within_group\": 3.949730700179533}, {\"talk_time\": \"17\", \"ram\": \"3033\", \"total_measure\": 19.0, \"share_within_group\": 3.4296028880866425}, {\"talk_time\": \"5\", \"ram\": \"1243\", \"total_measure\": 18.0, \"share_within_group\": 3.339517625231911}, {\"talk_time\": \"14\", \"ram\": \"1601\", \"total_measure\": 17.0, \"share_within_group\": 3.3203125}, {\"talk_time\": \"14\", \"ram\": \"2776\", \"total_measure\": 17.0, \"share_within_group\": 3.3203125}, {\"talk_time\": \"14\", \"ram\": \"448\", \"total_measure\": 17.0, \"share_within_group\": 3.3203125}, {\"talk_time\": \"10\", \"ram\": \"3869\", \"total_measure\": 18.0, \"share_within_group\": 3.185840707964602}, {\"talk_time\": \"5\", \"ram\": \"2518\", \"total_measure\": 17.0, \"share_within_group\": 3.1539888682745825}, {\"talk_time\": \"5\", \"ram\": \"3629\", \"total_measure\": 17.0, \"share_within_group\": 3.1539888682745825}, {\"talk_time\": \"18\", \"ram\": \"2360\", \"total_measure\": 16.0, \"share_within_group\": 3.131115459882583}, {\"talk_time\": \"18\", \"ram\": \"3411\", \"total_measure\": 16.0, \"share_within_group\": 3.131115459882583}, {\"talk_time\": \"14\", \"ram\": \"1087\", \"total_measure\": 16.0, \"share_within_group\": 3.125}, {\"talk_time\": \"14\", \"ram\": \"2638\", \"total_measure\": 16.0, \"share_within_group\": 3.125}, {\"talk_time\": \"3\", \"ram\": \"3162\", \"total_measure\": 18.0, \"share_within_group\": 3.114186851211073}, {\"talk_time\": \"3\", \"ram\": \"820\", \"total_measure\": 18.0, \"share_within_group\": 3.114186851211073}, {\"talk_time\": \"8\", \"ram\": \"2452\", \"total_measure\": 17.0, \"share_within_group\": 3.102189781021898}, {\"talk_time\": \"8\", \"ram\": \"3701\", \"total_measure\": 17.0, \"share_within_group\": 3.102189781021898}, {\"talk_time\": \"17\", \"ram\": \"2944\", \"total_measure\": 17.0, \"share_within_group\": 3.068592057761733}, {\"talk_time\": \"17\", \"ram\": \"3685\", \"total_measure\": 17.0, \"share_within_group\": 3.068592057761733}, {\"talk_time\": \"11\", \"ram\": \"3534\", \"total_measure\": 17.0, \"share_within_group\": 3.0520646319569122}, {\"talk_time\": \"4\", \"ram\": \"3242\", \"total_measure\": 22.0, \"share_within_group\": 3.0344827586206895}, {\"talk_time\": \"10\", \"ram\": \"593\", \"total_measure\": 17.0, \"share_within_group\": 3.0088495575221237}, {\"talk_time\": \"13\", \"ram\": \"1462\", \"total_measure\": 18.0, \"share_within_group\": 3.005008347245409}, {\"talk_time\": \"5\", \"ram\": \"2577\", \"total_measure\": 16.0, \"share_within_group\": 2.968460111317254}, {\"talk_time\": \"5\", \"ram\": \"3442\", \"total_measure\": 16.0, \"share_within_group\": 2.968460111317254}, {\"talk_time\": \"5\", \"ram\": \"3809\", \"total_measure\": 16.0, \"share_within_group\": 2.968460111317254}, {\"talk_time\": \"19\", \"ram\": \"681\", \"total_measure\": 18.0, \"share_within_group\": 2.9220779220779223}, {\"talk_time\": \"17\", \"ram\": \"3480\", \"total_measure\": 16.0, \"share_within_group\": 2.888086642599278}, {\"talk_time\": \"13\", \"ram\": \"1829\", \"total_measure\": 17.0, \"share_within_group\": 2.8380634390651087}, {\"talk_time\": \"10\", \"ram\": \"2870\", \"total_measure\": 16.0, \"share_within_group\": 2.831858407079646}, {\"talk_time\": \"5\", \"ram\": \"3153\", \"total_measure\": 15.0, \"share_within_group\": 2.782931354359926}, {\"talk_time\": \"9\", \"ram\": \"1754\", \"total_measure\": 18.0, \"share_within_group\": 2.773497688751926}, {\"talk_time\": \"3\", \"ram\": \"2458\", \"total_measure\": 16.0, \"share_within_group\": 2.7681660899653977}, {\"talk_time\": \"3\", \"ram\": \"3978\", \"total_measure\": 16.0, \"share_within_group\": 2.7681660899653977}, {\"talk_time\": \"19\", \"ram\": \"2563\", \"total_measure\": 17.0, \"share_within_group\": 2.75974025974026}, {\"talk_time\": \"8\", \"ram\": \"2677\", \"total_measure\": 15.0, \"share_within_group\": 2.7372262773722627}, {\"talk_time\": \"8\", \"ram\": \"3755\", \"total_measure\": 15.0, \"share_within_group\": 2.7372262773722627}, {\"talk_time\": \"14\", \"ram\": \"3961\", \"total_measure\": 14.0, \"share_within_group\": 2.734375}, {\"talk_time\": \"14\", \"ram\": \"445\", \"total_measure\": 14.0, \"share_within_group\": 2.734375}, {\"talk_time\": \"2\", \"ram\": \"1571\", \"total_measure\": 16.0, \"share_within_group\": 2.7210884353741496}, {\"talk_time\": \"2\", \"ram\": \"2355\", \"total_measure\": 16.0, \"share_within_group\": 2.7210884353741496}, {\"talk_time\": \"2\", \"ram\": \"3900\", \"total_measure\": 16.0, \"share_within_group\": 2.7210884353741496}, {\"talk_time\": \"17\", \"ram\": \"1295\", \"total_measure\": 15.0, \"share_within_group\": 2.707581227436823}, {\"talk_time\": \"17\", \"ram\": \"2399\", \"total_measure\": 15.0, \"share_within_group\": 2.707581227436823}, {\"talk_time\": \"17\", \"ram\": \"3397\", \"total_measure\": 15.0, \"share_within_group\": 2.707581227436823}, {\"talk_time\": \"6\", \"ram\": \"3559\", \"total_measure\": 17.0, \"share_within_group\": 2.7027027027027026}, {\"talk_time\": \"11\", \"ram\": \"1767\", \"total_measure\": 15.0, \"share_within_group\": 2.6929982046678638}, {\"talk_time\": \"11\", \"ram\": \"568\", \"total_measure\": 15.0, \"share_within_group\": 2.6929982046678638}, {\"talk_time\": \"12\", \"ram\": \"1418\", \"total_measure\": 17.0, \"share_within_group\": 2.65625}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 11.34}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e3e25fc75336bea9f3a86fc28eb86da187fe3aa1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:34:07.347305+00:00", + "ended_at": "2026-05-19T15:34:25.459164+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_157aa49adc727aed", + "problem_id": "v2p_m10_4b8a616802c31b6e", + "dataset_id": "m10", + "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=talk_time, measure_col=sc_w.", + "bindings": { + "group_col": "talk_time", + "measure_col": "sc_w", + "item_col": "ram", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=25" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_157aa49adc727aed.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_157aa49adc727aed", + "api_calls": 0, + "input_tokens": 15333, + "cached_input_tokens": 14720, + "output_tokens": 574, + "total_tokens": 15907, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18095.82, + "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_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1404166bd399fea73c3a6719a44a9b3692dc53d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:25.445352+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": 18095.82, "started_at": "2026-05-19T15:34:07.348430+00:00", "ended_at": "2026-05-19T15:34:25.444273+00:00", "prompt_metrics": {"chars": 10903, "bytes_utf8": 10903, "lines": 350, "estimated_tokens": null}, "response_metrics": {"chars": 553, "bytes_utf8": 553, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15333, "cached_input_tokens": 14720, "output_tokens": 574, "reasoning_output_tokens": 410}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"talk_time\\\", \\\"ram\\\",\\n SUM(CAST(\\\"sc_w\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"sc_w\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"sc_w\\\" AS REAL))) OVER (PARTITION BY \\\"talk_time\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"talk_time\\\", \\\"ram\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Used the required template bindings with group_col=\\\"talk_time\\\", item_col=\\\"ram\\\", and measure_col=\\\"sc_w\\\". Cast \\\"sc_w\\\" to REAL because the schema stores values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..db448ce71c4fa04336ff70afea120c1dad3dbcec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_157aa49adc727aed", + "api_calls": 0, + "input_tokens": 15333, + "cached_input_tokens": 14720, + "output_tokens": 574, + "total_tokens": 15907, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18095.82, + "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_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..60a9b3870fc3be2891fc4e80293e06df064ae46f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/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=clock_speed, measure_col=pc. +Result preview: [{"clock_speed": "0.5", "group_value": 4157.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1f2e24642abbbf2dffd998e366ce7a9234b2f919 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/generated_sql.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_1678b24dc29d1c14 +-- problem_id: v2p_m10_6f019583ae262ff2 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "clock_speed", + SUM(CAST("pc" AS REAL)) AS group_value + FROM "m10" + GROUP BY "clock_speed" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT + g."clock_speed", + g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..184fac6a32390346503b2f608f18eae68fc6c69a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"clock_speed\",\n SUM(CAST(\"pc\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"clock_speed\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT\n g.\"clock_speed\",\n g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"clock_speed\\\",\\n SUM(CAST(\\\"pc\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"clock_speed\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"clock_speed\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\", \"columns\": [\"clock_speed\", \"group_value\"], \"rows\": [{\"clock_speed\": \"0.5\", \"group_value\": 4157.0}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.96}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..30e65d8be0ace7a6eeb49c1985d713eac9e30600 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:47:35.623908+00:00", + "ended_at": "2026-05-19T15:47:45.465174+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_1678b24dc29d1c14", + "problem_id": "v2p_m10_6f019583ae262ff2", + "dataset_id": "m10", + "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=clock_speed, measure_col=pc.", + "bindings": { + "group_col": "clock_speed", + "measure_col": "pc", + "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": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=76" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_1678b24dc29d1c14.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_1678b24dc29d1c14", + "api_calls": 0, + "input_tokens": 15351, + "cached_input_tokens": 12032, + "output_tokens": 415, + "total_tokens": 15766, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9831.39, + "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_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a39642719fda3072452651ed032d7f4e696d3b50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:45.459402+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": 9831.39, "started_at": "2026-05-19T15:47:35.625820+00:00", "ended_at": "2026-05-19T15:47:45.457265+00:00", "prompt_metrics": {"chars": 11058, "bytes_utf8": 11058, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 686, "bytes_utf8": 686, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15351, "cached_input_tokens": 12032, "output_tokens": 415, "reasoning_output_tokens": 236}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"clock_speed\\\",\\n SUM(CAST(\\\"pc\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"clock_speed\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"clock_speed\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the Relative-to-Total Extreme Threshold template with group_col=\\\"clock_speed\\\", measure_col=\\\"pc\\\", and fraction_threshold=0.1. CAST to REAL is used because the schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f01c12c4ba72a2605fac8824aceb6bcb679c4676 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_1678b24dc29d1c14", + "api_calls": 0, + "input_tokens": 15351, + "cached_input_tokens": 12032, + "output_tokens": 415, + "total_tokens": 15766, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9831.39, + "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_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b91c618e74a626aa04cbcbf360c1b3cf4ef6193f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=dual_sim, measure_col=sc_w. +Result preview: [{"dual_sim": "0", "avg_measure": 5.840978593272172}, {"dual_sim": "1", "avg_measure": 5.695780176643768}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9ac574eb2928e6f8ecee3889eb377a7f22a6bd95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_17067a65666e8ec0 +-- problem_id: v2p_m10_cb0ff39ed22bf30c +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "dual_sim", + AVG(CAST("sc_w" AS REAL)) OVER (PARTITION BY "dual_sim") AS avg_measure +FROM "m10" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1c537954f43cfdc44f773d58575ec7902d349755 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/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 \"dual_sim\",\n AVG(CAST(\"sc_w\" AS REAL)) OVER (PARTITION BY \"dual_sim\") AS avg_measure\nFROM \"m10\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"dual_sim\\\",\\n AVG(CAST(\\\"sc_w\\\" AS REAL)) OVER (PARTITION BY \\\"dual_sim\\\") AS avg_measure\\nFROM \\\"m10\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"dual_sim\", \"avg_measure\"], \"rows\": [{\"dual_sim\": \"0\", \"avg_measure\": 5.840978593272172}, {\"dual_sim\": \"1\", \"avg_measure\": 5.695780176643768}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.77}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..51ef90e8f4514d839c9601f1e7a14beda14d1e10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:07:39.683496+00:00", + "ended_at": "2026-05-19T16:07:52.816238+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_17067a65666e8ec0", + "problem_id": "v2p_m10_cb0ff39ed22bf30c", + "dataset_id": "m10", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=dual_sim, measure_col=sc_w.", + "bindings": { + "group_col": "dual_sim", + "measure_col": "sc_w", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=137" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_17067a65666e8ec0.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_17067a65666e8ec0", + "api_calls": 0, + "input_tokens": 15227, + "cached_input_tokens": 12032, + "output_tokens": 339, + "total_tokens": 15566, + "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": 12122.76, + "sql_execution_elapsed_ms_total": 3.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b1ea86c27a5e31cf731d2446e917ae533baeaeca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:42.719658+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": 3034.21, "started_at": "2026-05-19T16:07:39.684653+00:00", "ended_at": "2026-05-19T16:07:42.718891+00:00", "prompt_metrics": {"chars": 10587, "bytes_utf8": 10587, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-2ca4-7373-bc15-4dc640f3608e\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:52.810742+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": 9088.55, "started_at": "2026-05-19T16:07:43.721356+00:00", "ended_at": "2026-05-19T16:07:52.809953+00:00", "prompt_metrics": {"chars": 10587, "bytes_utf8": 10587, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 376, "bytes_utf8": 376, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15227, "cached_input_tokens": 12032, "output_tokens": 339, "reasoning_output_tokens": 240}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"dual_sim\\\",\\n AVG(CAST(\\\"sc_w\\\" AS REAL)) OVER (PARTITION BY \\\"dual_sim\\\") AS avg_measure\\nFROM \\\"m10\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"dual_sim\\\" and measure_col=\\\"sc_w\\\". CAST is used because the schema stores columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ef3778822399b7163a75e9f7bc1c04a11f8dc7de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_17067a65666e8ec0", + "api_calls": 0, + "input_tokens": 15227, + "cached_input_tokens": 12032, + "output_tokens": 339, + "total_tokens": 15566, + "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": 12122.76, + "sql_execution_elapsed_ms_total": 3.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d90797b4ac19f311fc63626e9d3d668df687907 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=wifi, condition_col=n_cores. +Result preview: [{"wifi": "0", "condition_rate": 0.13387423935091278}, {"wifi": "1", "condition_rate": 0.1252465483234714}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9c73297b2cad36d198a1e0f9f561ac2b1742cb36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_187ca60dcce7df22 +-- problem_id: v2p_m10_62b32c515c3e36cf +-- realization_mode: agent +-- source_kind: agent +SELECT "wifi", + AVG(CASE WHEN "n_cores" = '7' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m10" +GROUP BY "wifi" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a20a040895d27ea3ea59ae2dd8c69401d2306543 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"wifi\",\n AVG(CASE WHEN \"n_cores\" = '7' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m10\"\nGROUP BY \"wifi\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"wifi\\\",\\n AVG(CASE WHEN \\\"n_cores\\\" = '7' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"wifi\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"wifi\", \"condition_rate\"], \"rows\": [{\"wifi\": \"0\", \"condition_rate\": 0.13387423935091278}, {\"wifi\": \"1\", \"condition_rate\": 0.1252465483234714}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.44}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5502353fcafca4b3e2c7ae3500a4d250e1d05381 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:01:47.791365+00:00", + "ended_at": "2026-05-19T16:01:56.867215+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_187ca60dcce7df22", + "problem_id": "v2p_m10_62b32c515c3e36cf", + "dataset_id": "m10", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=wifi, condition_col=n_cores.", + "bindings": { + "group_col": "wifi", + "condition_col": "n_cores", + "condition_value": "7", + "positive_value": "4", + "negative_value": "7", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=103" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_187ca60dcce7df22.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_187ca60dcce7df22", + "api_calls": 0, + "input_tokens": 15278, + "cached_input_tokens": 12032, + "output_tokens": 367, + "total_tokens": 15645, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9070.72, + "sql_execution_elapsed_ms_total": 1.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..baf3bb20965368728cc2b726d48147f789675d26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:56.864069+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": 9070.72, "started_at": "2026-05-19T16:01:47.792350+00:00", "ended_at": "2026-05-19T16:01:56.863097+00:00", "prompt_metrics": {"chars": 10742, "bytes_utf8": 10742, "lines": 351, "estimated_tokens": null}, "response_metrics": {"chars": 397, "bytes_utf8": 397, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15278, "cached_input_tokens": 12032, "output_tokens": 367, "reasoning_output_tokens": 252}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"wifi\\\",\\n AVG(CASE WHEN \\\"n_cores\\\" = '7' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"wifi\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template with group_col=\\\"wifi\\\" and condition_col=\\\"n_cores\\\", measuring the within-group proportion where \\\"n_cores\\\" = '7'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a361a144b4f5eeb325ade048b001d24af1b8a052 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_187ca60dcce7df22", + "api_calls": 0, + "input_tokens": 15278, + "cached_input_tokens": 12032, + "output_tokens": 367, + "total_tokens": 15645, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9070.72, + "sql_execution_elapsed_ms_total": 1.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9569aa7c7da0dc669f6185d851d74c68f927bd60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:58:51.580873+00:00", + "ended_at": "2026-05-19T15:58:58.846543+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_1aefa027b0efd9d7", + "problem_id": "v2p_m10_43ec1a33ef3b3f9d", + "dataset_id": "m10", + "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=fc, measure_col=ram.", + "bindings": { + "group_col": "fc", + "measure_col": "ram", + "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": 3064.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=93" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..da82697ad366c50c6d8d61b526f85d667bb98ef4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:58:54.498605+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": 2915.86, "started_at": "2026-05-19T15:58:51.581953+00:00", "ended_at": "2026-05-19T15:58:54.497839+00:00", "prompt_metrics": {"chars": 10667, "bytes_utf8": 10667, "lines": 348, "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\":\"019e40f6-1dc3-7d22-85c4-5062f9da0475\"}\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": "2026-05-19T15:58:58.846444+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": 3345.24, "started_at": "2026-05-19T15:58:55.500212+00:00", "ended_at": "2026-05-19T15:58:58.845495+00:00", "prompt_metrics": {"chars": 10667, "bytes_utf8": 10667, "lines": 348, "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\":\"019e40f6-2d2d-7442-9d2c-49ea02e367c3\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5c796b07ff5ac2fd43bc269dc73366576f06e448 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10672, "bytes_utf8": 10672, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 450, "bytes_utf8": 450, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15269, "cached_input_tokens": 14720, "output_tokens": 556, "reasoning_output_tokens": 425}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..68bf6159c596a04704c56b6540eb4e4896134d14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_203ff8984f96cf28", + "api_calls": 0, + "input_tokens": 15269, + "cached_input_tokens": 14720, + "output_tokens": 556, + "total_tokens": 15825, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11190.43, + "sql_execution_elapsed_ms_total": 5.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..deba3582f38f2deb9d4cb4138bb9dd01d2d2c11b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:47.494527+00:00", + "ended_at": "2026-05-19T15:44:58.684980+00:00", + "elapsed_ms": 11190.43, + "prompt_metrics": { + "chars": 10672, + "bytes_utf8": 10672, + "lines": 346, + "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": 450, + "bytes_utf8": 450, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15269, + "cached_input_tokens": 14720, + "output_tokens": 556, + "reasoning_output_tokens": 425 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a91ebe8e93b2ae6535e3773fa42cd1e018b459c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=ram.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "ram", + "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": 3064.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd2b001b242d13ceb35abb642440fa1acd588ac0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-3c9e-74d1-a01b-57f59d25acf4"} +{"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(\\\"ram\\\" AS REAL) AS \\\"ram\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"ram\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"ram\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"ram\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template on \\\"ram\\\" with 10 tiles; CAST is used because the SQLite schema stores numeric values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15269,"cached_input_tokens":14720,"output_tokens":556,"reasoning_output_tokens":425}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d667c65f514d73d9dbce3843fb4132dc6639a9cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"ram\" AS REAL) AS \"ram\",\n NTILE(10) OVER (ORDER BY CAST(\"ram\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m10\"\n)\nSELECT \"ram\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"ram\" DESC;","notes":"Applied the Quantile Tail Slice template on \"ram\" with 10 tiles; CAST is used 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_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_203ff8984f96cf28/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..30863980e00c8a17988fe6faec2ed0d11e3d90ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/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=three_g, measure_col=talk_time. +Result preview: [{"three_g": "0", "battery_power": 1949, "total_measure": 48.0, "share_within_group": 0.8805723720418271}, {"three_g": "0", "battery_power": 1271, "total_measure": 40.0, "share_within_group": 0.733810310034856}, {"three_g": "0", "battery_power": 1872, "total_measure": 35.0, "share_within_group": 0.642084021280499}, {"three_g": "0", "battery_power": 1893, "total_measure": 35.0, "share_within_group": 0.642084021280499}, {"three_g": "0", "battery_power": 1945, "total_measure": 35.0, "share_within_group": 0.642084021280499}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4c31293a4eecb5dbc7f1b86bd164fff2aee47d78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_26dd0d7e0eb2cd4f +-- problem_id: v2p_m10_5ecbcc4dfd1770ff +-- realization_mode: agent +-- source_kind: agent +SELECT + "three_g", + CAST("battery_power" AS INTEGER) AS "battery_power", + SUM(CAST("talk_time" AS REAL)) AS "total_measure", + SUM(CAST("talk_time" AS REAL)) * 100.0 / SUM(SUM(CAST("talk_time" AS REAL))) OVER (PARTITION BY "three_g") AS "share_within_group" +FROM "m10" +GROUP BY + "three_g", + CAST("battery_power" AS INTEGER) +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..140de2b10e2cfbf11a67208242c3684ece2248ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/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 \"three_g\",\n CAST(\"battery_power\" AS INTEGER) AS \"battery_power\",\n SUM(CAST(\"talk_time\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"talk_time\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"talk_time\" AS REAL))) OVER (PARTITION BY \"three_g\") AS \"share_within_group\"\nFROM \"m10\"\nGROUP BY\n \"three_g\",\n CAST(\"battery_power\" AS INTEGER)\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"three_g\\\",\\n CAST(\\\"battery_power\\\" AS INTEGER) AS \\\"battery_power\\\",\\n SUM(CAST(\\\"talk_time\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"talk_time\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"talk_time\\\" AS REAL))) OVER (PARTITION BY \\\"three_g\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY\\n \\\"three_g\\\",\\n CAST(\\\"battery_power\\\" AS INTEGER)\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"three_g\", \"battery_power\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"three_g\": \"0\", \"battery_power\": 1949, \"total_measure\": 48.0, \"share_within_group\": 0.8805723720418271}, {\"three_g\": \"0\", \"battery_power\": 1271, \"total_measure\": 40.0, \"share_within_group\": 0.733810310034856}, {\"three_g\": \"0\", \"battery_power\": 1872, \"total_measure\": 35.0, \"share_within_group\": 0.642084021280499}, {\"three_g\": \"0\", \"battery_power\": 1893, \"total_measure\": 35.0, \"share_within_group\": 0.642084021280499}, {\"three_g\": \"0\", \"battery_power\": 1945, \"total_measure\": 35.0, \"share_within_group\": 0.642084021280499}, {\"three_g\": \"0\", \"battery_power\": 1082, \"total_measure\": 34.0, \"share_within_group\": 0.6237387635296275}, {\"three_g\": \"0\", \"battery_power\": 1396, \"total_measure\": 34.0, \"share_within_group\": 0.6237387635296275}, {\"three_g\": \"0\", \"battery_power\": 842, \"total_measure\": 33.0, \"share_within_group\": 0.6053935057787562}, {\"three_g\": \"0\", \"battery_power\": 686, \"total_measure\": 32.0, \"share_within_group\": 0.5870482480278848}, {\"three_g\": \"0\", \"battery_power\": 1310, \"total_measure\": 32.0, \"share_within_group\": 0.5870482480278848}, {\"three_g\": \"0\", \"battery_power\": 1430, \"total_measure\": 32.0, \"share_within_group\": 0.5870482480278848}, {\"three_g\": \"0\", \"battery_power\": 1092, \"total_measure\": 31.0, \"share_within_group\": 0.5687029902770134}, {\"three_g\": \"1\", \"battery_power\": 1589, \"total_measure\": 93.0, \"share_within_group\": 0.5612214108985577}, {\"three_g\": \"0\", \"battery_power\": 902, \"total_measure\": 30.0, \"share_within_group\": 0.550357732526142}, {\"three_g\": \"0\", \"battery_power\": 1807, \"total_measure\": 30.0, \"share_within_group\": 0.550357732526142}, {\"three_g\": \"0\", \"battery_power\": 1067, \"total_measure\": 29.0, \"share_within_group\": 0.5320124747752706}, {\"three_g\": \"0\", \"battery_power\": 1550, \"total_measure\": 29.0, \"share_within_group\": 0.5320124747752706}, {\"three_g\": \"0\", \"battery_power\": 1751, \"total_measure\": 29.0, \"share_within_group\": 0.5320124747752706}, {\"three_g\": \"0\", \"battery_power\": 911, \"total_measure\": 28.0, \"share_within_group\": 0.5136672170243992}, {\"three_g\": \"0\", \"battery_power\": 1447, \"total_measure\": 28.0, \"share_within_group\": 0.5136672170243992}, {\"three_g\": \"0\", \"battery_power\": 1948, \"total_measure\": 27.0, \"share_within_group\": 0.4953219592735278}, {\"three_g\": \"0\", \"battery_power\": 771, \"total_measure\": 26.0, \"share_within_group\": 0.4769767015226564}, {\"three_g\": \"0\", \"battery_power\": 912, \"total_measure\": 26.0, \"share_within_group\": 0.4769767015226564}, {\"three_g\": \"1\", \"battery_power\": 832, \"total_measure\": 76.0, \"share_within_group\": 0.45863255084183213}, {\"three_g\": \"0\", \"battery_power\": 1062, \"total_measure\": 25.0, \"share_within_group\": 0.458631443771785}, {\"three_g\": \"0\", \"battery_power\": 1234, \"total_measure\": 25.0, \"share_within_group\": 0.458631443771785}, {\"three_g\": \"1\", \"battery_power\": 1002, \"total_measure\": 73.0, \"share_within_group\": 0.44052863436123346}, {\"three_g\": \"0\", \"battery_power\": 808, \"total_measure\": 24.0, \"share_within_group\": 0.4402861860209136}, {\"three_g\": \"0\", \"battery_power\": 1362, \"total_measure\": 23.0, \"share_within_group\": 0.4219409282700422}, {\"three_g\": \"0\", \"battery_power\": 1766, \"total_measure\": 23.0, \"share_within_group\": 0.4219409282700422}, {\"three_g\": \"0\", \"battery_power\": 1018, \"total_measure\": 22.0, \"share_within_group\": 0.4035956705191708}, {\"three_g\": \"0\", \"battery_power\": 1368, \"total_measure\": 22.0, \"share_within_group\": 0.4035956705191708}, {\"three_g\": \"0\", \"battery_power\": 1369, \"total_measure\": 22.0, \"share_within_group\": 0.4035956705191708}, {\"three_g\": \"0\", \"battery_power\": 1412, \"total_measure\": 22.0, \"share_within_group\": 0.4035956705191708}, {\"three_g\": \"0\", \"battery_power\": 1547, \"total_measure\": 22.0, \"share_within_group\": 0.4035956705191708}, {\"three_g\": \"0\", \"battery_power\": 1595, \"total_measure\": 22.0, \"share_within_group\": 0.4035956705191708}, {\"three_g\": \"0\", \"battery_power\": 1269, \"total_measure\": 21.0, \"share_within_group\": 0.3852504127682994}, {\"three_g\": \"0\", \"battery_power\": 1414, \"total_measure\": 21.0, \"share_within_group\": 0.3852504127682994}, {\"three_g\": \"0\", \"battery_power\": 1450, \"total_measure\": 21.0, \"share_within_group\": 0.3852504127682994}, {\"three_g\": \"0\", \"battery_power\": 1454, \"total_measure\": 21.0, \"share_within_group\": 0.3852504127682994}, {\"three_g\": \"0\", \"battery_power\": 582, \"total_measure\": 20.0, \"share_within_group\": 0.366905155017428}, {\"three_g\": \"0\", \"battery_power\": 683, \"total_measure\": 20.0, \"share_within_group\": 0.366905155017428}, {\"three_g\": \"0\", \"battery_power\": 825, \"total_measure\": 20.0, \"share_within_group\": 0.366905155017428}, {\"three_g\": \"0\", \"battery_power\": 962, \"total_measure\": 20.0, \"share_within_group\": 0.366905155017428}, {\"three_g\": \"0\", \"battery_power\": 972, \"total_measure\": 20.0, \"share_within_group\": 0.366905155017428}, {\"three_g\": \"0\", \"battery_power\": 1005, \"total_measure\": 20.0, \"share_within_group\": 0.366905155017428}, {\"three_g\": \"0\", \"battery_power\": 1070, \"total_measure\": 20.0, \"share_within_group\": 0.366905155017428}, {\"three_g\": \"0\", \"battery_power\": 1205, \"total_measure\": 20.0, \"share_within_group\": 0.366905155017428}, {\"three_g\": \"0\", \"battery_power\": 1278, \"total_measure\": 20.0, \"share_within_group\": 0.366905155017428}, {\"three_g\": \"0\", \"battery_power\": 1299, \"total_measure\": 20.0, \"share_within_group\": 0.366905155017428}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 12.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..13bbea6737ef4fed8727db978351cf2f2a9c718d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:35:06.771288+00:00", + "ended_at": "2026-05-19T15:35:22.892714+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_26dd0d7e0eb2cd4f", + "problem_id": "v2p_m10_5ecbcc4dfd1770ff", + "dataset_id": "m10", + "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=three_g, measure_col=talk_time.", + "bindings": { + "group_col": "three_g", + "measure_col": "talk_time", + "item_col": "battery_power", + "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": 14.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=26" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_26dd0d7e0eb2cd4f.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_26dd0d7e0eb2cd4f", + "api_calls": 0, + "input_tokens": 15335, + "cached_input_tokens": 12032, + "output_tokens": 609, + "total_tokens": 15944, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16100.71, + "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_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..211cc4fc6bae821a0219242210ee27bf3ebf029b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:22.876270+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": 16100.71, "started_at": "2026-05-19T15:35:06.773503+00:00", "ended_at": "2026-05-19T15:35:22.874254+00:00", "prompt_metrics": {"chars": 10922, "bytes_utf8": 10922, "lines": 350, "estimated_tokens": null}, "response_metrics": {"chars": 679, "bytes_utf8": 679, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15335, "cached_input_tokens": 12032, "output_tokens": 609, "reasoning_output_tokens": 420}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"three_g\\\",\\n CAST(\\\"battery_power\\\" AS INTEGER) AS \\\"battery_power\\\",\\n SUM(CAST(\\\"talk_time\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"talk_time\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"talk_time\\\" AS REAL))) OVER (PARTITION BY \\\"three_g\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY\\n \\\"three_g\\\",\\n CAST(\\\"battery_power\\\" AS INTEGER)\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"three_g\\\", item_col=\\\"battery_power\\\", and measure_col=\\\"talk_time\\\". Casted numeric-looking TEXT columns for SQLite aggregation accuracy.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0d8928350b8317bf312625b103a3057613af82eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_26dd0d7e0eb2cd4f", + "api_calls": 0, + "input_tokens": 15335, + "cached_input_tokens": 12032, + "output_tokens": 609, + "total_tokens": 15944, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16100.71, + "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_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e70ef6f8688ee545c8b7f172f5e1e90ee4ba441f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/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=blue. +Result preview: [{"blue": "1", "support": 990}, {"blue": "0", "support": 1010}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a12b2e2c4fc3dd3980eaabeae2a629e44b4d8f24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_281d43c4fea5484e +-- problem_id: v2p_m10_010eb55b7bbd7310 +-- realization_mode: agent +-- source_kind: agent +SELECT + "blue", + COUNT(*) AS support +FROM "m10" +GROUP BY "blue" +ORDER BY support ASC, "blue" +LIMIT 15; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d28702decf6163f3e911c2210d0d9942e67711c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/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 \"blue\",\n COUNT(*) AS support\nFROM \"m10\"\nGROUP BY \"blue\"\nORDER BY support ASC, \"blue\"\nLIMIT 15;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"blue\\\",\\n COUNT(*) AS support\\nFROM \\\"m10\\\"\\nGROUP BY \\\"blue\\\"\\nORDER BY support ASC, \\\"blue\\\"\\nLIMIT 15;\", \"columns\": [\"blue\", \"support\"], \"rows\": [{\"blue\": \"1\", \"support\": 990}, {\"blue\": \"0\", \"support\": 1010}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.08}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f7030ac344192df0b4ea05f8d8c9c711a57918df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:03:41.758904+00:00", + "ended_at": "2026-05-19T16:03:48.905593+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_281d43c4fea5484e", + "problem_id": "v2p_m10_010eb55b7bbd7310", + "dataset_id": "m10", + "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=blue.", + "bindings": { + "group_col": "blue", + "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": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=120" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_281d43c4fea5484e.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_281d43c4fea5484e", + "api_calls": 0, + "input_tokens": 15225, + "cached_input_tokens": 12032, + "output_tokens": 199, + "total_tokens": 15424, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7141.2, + "sql_execution_elapsed_ms_total": 1.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8f0b40245508fcbcb5c720965daea9a41c047f7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:03:48.902889+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": 7141.2, "started_at": "2026-05-19T16:03:41.760892+00:00", "ended_at": "2026-05-19T16:03:48.902123+00:00", "prompt_metrics": {"chars": 10495, "bytes_utf8": 10495, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 303, "bytes_utf8": 303, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15225, "cached_input_tokens": 12032, "output_tokens": 199, "reasoning_output_tokens": 110}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"blue\\\",\\n COUNT(*) AS support\\nFROM \\\"m10\\\"\\nGROUP BY \\\"blue\\\"\\nORDER BY support ASC, \\\"blue\\\"\\nLIMIT 15;\",\"notes\":\"Applied the provided Low-Support Group Count template with group_col bound to \\\"blue\\\" and top_k set to 15.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e619ef8d3b1309933c257d0ca980f9934de7cfdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_281d43c4fea5484e", + "api_calls": 0, + "input_tokens": 15225, + "cached_input_tokens": 12032, + "output_tokens": 199, + "total_tokens": 15424, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7141.2, + "sql_execution_elapsed_ms_total": 1.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..33350e1cda23f19b79a4739a684823045112f83d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10501, "bytes_utf8": 10501, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 15226, "cached_input_tokens": 14720, "output_tokens": 214, "reasoning_output_tokens": 116}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..91b64098f1929fdd6d5b8b721cbc4ce5276b6a96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_2a1b2ee34afa14d1", + "api_calls": 0, + "input_tokens": 15226, + "cached_input_tokens": 14720, + "output_tokens": 214, + "total_tokens": 15440, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10035.82, + "sql_execution_elapsed_ms_total": 2.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..61bb21aad4b202ccb30d47d2e69608bdd0ba470d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:12.067738+00:00", + "ended_at": "2026-05-19T16:04:22.103599+00:00", + "elapsed_ms": 10035.82, + "prompt_metrics": { + "chars": 10501, + "bytes_utf8": 10501, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 716, + "bytes_utf8": 716, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 363, + "bytes_utf8": 363, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15226, + "cached_input_tokens": 14720, + "output_tokens": 214, + "reasoning_output_tokens": 116 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed9b7eb7914409dda1fe9f8dd3423334a0cfe2ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=dual_sim.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "dual_sim", + "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": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8016cf1bc785aba1baf8302a55ffa2760058cac9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-01a0-7053-8afc-550d413c4f17"} +{"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 \\\"dual_sim\\\",\\n COUNT(*) AS support\\nFROM \\\"m10\\\"\\nGROUP BY \\\"dual_sim\\\"\\nORDER BY support ASC, \\\"dual_sim\\\"\\nLIMIT 17;\",\"notes\":\"Applies the Low-Support Group Count template using group_col=\\\"dual_sim\\\" to count records per dual_sim value and surface the least-supported groups first.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15226,"cached_input_tokens":14720,"output_tokens":214,"reasoning_output_tokens":116}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1795349deeda1991f1e2185649db686d01633848 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"dual_sim\",\n COUNT(*) AS support\nFROM \"m10\"\nGROUP BY \"dual_sim\"\nORDER BY support ASC, \"dual_sim\"\nLIMIT 17;","notes":"Applies the Low-Support Group Count template using group_col=\"dual_sim\" to count records per dual_sim value and surface the least-supported groups first."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a1b2ee34afa14d1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..cdc11d849c7c499033d76bd97d23178c0ded24ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/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=price_range, measure_col=clock_speed. +Result preview: [{"price_range": "3", "int_memory": "44", "total_measure": 28.4, "share_within_group": 3.735858984477769}, {"price_range": "3", "int_memory": "16", "total_measure": 26.1, "share_within_group": 3.4333070244672452}, {"price_range": "1", "int_memory": "7", "total_measure": 25.4, "share_within_group": 3.412602445250571}, {"price_range": "3", "int_memory": "9", "total_measure": 25.1, "share_within_group": 3.3017626940278872}, {"price_range": "2", "int_memory": "56", "total_measure": 25.1, "share_within_group": 3.2814747025755002}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1dd7ec7c6fc314e1ff6c58e51ff58a52d2f9e001 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_2a524c202092c6a4 +-- problem_id: v2p_m10_7824810c12a3df33 +-- realization_mode: agent +-- source_kind: agent +SELECT + "price_range", + "int_memory", + SUM(CAST("clock_speed" AS REAL)) AS total_measure, + SUM(CAST("clock_speed" AS REAL)) * 100.0 / SUM(SUM(CAST("clock_speed" AS REAL))) OVER (PARTITION BY "price_range") AS share_within_group +FROM "m10" +GROUP BY "price_range", "int_memory" +ORDER BY share_within_group DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b79499d7266ab4a34d08193a80fad4e7f0ab05ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/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 \"price_range\",\n \"int_memory\",\n SUM(CAST(\"clock_speed\" AS REAL)) AS total_measure,\n SUM(CAST(\"clock_speed\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"clock_speed\" AS REAL))) OVER (PARTITION BY \"price_range\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"price_range\", \"int_memory\"\nORDER BY share_within_group DESC\nLIMIT 14;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"price_range\\\",\\n \\\"int_memory\\\",\\n SUM(CAST(\\\"clock_speed\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"clock_speed\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"clock_speed\\\" AS REAL))) OVER (PARTITION BY \\\"price_range\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"price_range\\\", \\\"int_memory\\\"\\nORDER BY share_within_group DESC\\nLIMIT 14;\", \"columns\": [\"price_range\", \"int_memory\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"price_range\": \"3\", \"int_memory\": \"44\", \"total_measure\": 28.4, \"share_within_group\": 3.735858984477769}, {\"price_range\": \"3\", \"int_memory\": \"16\", \"total_measure\": 26.1, \"share_within_group\": 3.4333070244672452}, {\"price_range\": \"1\", \"int_memory\": \"7\", \"total_measure\": 25.4, \"share_within_group\": 3.412602445250571}, {\"price_range\": \"3\", \"int_memory\": \"9\", \"total_measure\": 25.1, \"share_within_group\": 3.3017626940278872}, {\"price_range\": \"2\", \"int_memory\": \"56\", \"total_measure\": 25.1, \"share_within_group\": 3.2814747025755002}, {\"price_range\": \"3\", \"int_memory\": \"24\", \"total_measure\": 23.400000000000002, \"share_within_group\": 3.0781373322809786}, {\"price_range\": \"1\", \"int_memory\": \"57\", \"total_measure\": 22.7, \"share_within_group\": 3.049845492408975}, {\"price_range\": \"0\", \"int_memory\": \"20\", \"total_measure\": 23.5, \"share_within_group\": 3.0318668558895627}, {\"price_range\": \"2\", \"int_memory\": \"2\", \"total_measure\": 23.0, \"share_within_group\": 3.0069290103281476}, {\"price_range\": \"1\", \"int_memory\": \"41\", \"total_measure\": 21.8, \"share_within_group\": 2.928926508128443}, {\"price_range\": \"0\", \"int_memory\": \"27\", \"total_measure\": 22.5, \"share_within_group\": 2.902851245000645}, {\"price_range\": \"2\", \"int_memory\": \"10\", \"total_measure\": 22.1, \"share_within_group\": 2.889266570793568}, {\"price_range\": \"0\", \"int_memory\": \"14\", \"total_measure\": 22.1, \"share_within_group\": 2.851245000645078}, {\"price_range\": \"3\", \"int_memory\": \"45\", \"total_measure\": 20.8, \"share_within_group\": 2.7361220731386475}], \"row_count_returned\": 14, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.51}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d4de61a9118bb6de22af4943d4ccb9eee0a434c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:36:16.001129+00:00", + "ended_at": "2026-05-19T15:36:28.980636+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_2a524c202092c6a4", + "problem_id": "v2p_m10_7824810c12a3df33", + "dataset_id": "m10", + "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=price_range, measure_col=clock_speed.", + "bindings": { + "group_col": "price_range", + "measure_col": "clock_speed", + "item_col": "int_memory", + "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": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=29" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_2a524c202092c6a4.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_2a524c202092c6a4", + "api_calls": 0, + "input_tokens": 15335, + "cached_input_tokens": 14720, + "output_tokens": 635, + "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": 12968.33, + "sql_execution_elapsed_ms_total": 5.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..877d52fa2cf523a79e8734fecd7e51d330bbe053 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:28.972217+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": 12968.33, "started_at": "2026-05-19T15:36:16.002235+00:00", "ended_at": "2026-05-19T15:36:28.970599+00:00", "prompt_metrics": {"chars": 10928, "bytes_utf8": 10928, "lines": 350, "estimated_tokens": null}, "response_metrics": {"chars": 616, "bytes_utf8": 616, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15335, "cached_input_tokens": 14720, "output_tokens": 635, "reasoning_output_tokens": 463}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"price_range\\\",\\n \\\"int_memory\\\",\\n SUM(CAST(\\\"clock_speed\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"clock_speed\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"clock_speed\\\" AS REAL))) OVER (PARTITION BY \\\"price_range\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"price_range\\\", \\\"int_memory\\\"\\nORDER BY share_within_group DESC\\nLIMIT 14;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"price_range\\\", item_col=\\\"int_memory\\\", and measure_col=\\\"clock_speed\\\". CAST to REAL is used because the schema stores values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..41046ae43d287163d500ebca30dcbb5a2b58c8c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_2a524c202092c6a4", + "api_calls": 0, + "input_tokens": 15335, + "cached_input_tokens": 14720, + "output_tokens": 635, + "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": 12968.33, + "sql_execution_elapsed_ms_total": 5.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..24a91e7a791653121929fc03205723c4ba84ecdb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:31.664841+00:00", + "ended_at": "2026-05-19T16:07:35.542973+00:00", + "elapsed_ms": 3878.1, + "returncode": 1, + "prompt_metrics": { + "chars": 10582, + "bytes_utf8": 10582, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9da89e6a9a9281517c5cfc7b8d067ecf60ccd8a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:36.544747+00:00", + "ended_at": "2026-05-19T16:07:39.682280+00:00", + "elapsed_ms": 3137.5, + "returncode": 1, + "prompt_metrics": { + "chars": 10582, + "bytes_utf8": 10582, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..37fb48fb98279fe59941690014cfdd67053b82ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=dual_sim, measure_col=sc_w.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "dual_sim", + "measure_col": "sc_w", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..37fb48fb98279fe59941690014cfdd67053b82ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=dual_sim, measure_col=sc_w.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "dual_sim", + "measure_col": "sc_w", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..807f291f620fc5d3a2614f295e2dc2d0bd4928e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-0d59-7ca1-8421-780fbea78e14"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d825588d6dec9e3891ea4f92f1bb03ea0a0cc58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-0d59-7ca1-8421-780fbea78e14"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9251da2a0581ae40d9b79ac2a8ad51d51196e02f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-2052-72d2-97f7-f9b2c67b9ce5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a129146557ecb9b2f9105b0fa5d40aebaf80293d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-2052-72d2-97f7-f9b2c67b9ce5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2ad1521066fe3f5e/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2b7e543043c92957/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2b7e543043c92957/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd6566360de84a3cd38307554fbb3a44d2785898 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2b7e543043c92957/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "4", "support": 274, "support_share": 0.137, "cumulative_support": 274}, {"value_label": "7", "support": 259, "support_share": 0.1295, "cumulative_support": 533}, {"value_label": "8", "support": 256, "support_share": 0.128, "cumulative_support": 789}, {"value_label": "2", "support": 247, "support_share": 0.1235, "cumulative_support": 1036}, {"value_label": "3", "support": 246, "support_share": 0.123, "cumulative_support": 1282}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2b7e543043c92957/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2b7e543043c92957/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b02171382fe721e41f79e3be8efef8304f13d92b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2b7e543043c92957/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_2b7e543043c92957 +-- problem_id: v2p_m10_28138b94809a9370 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "n_cores" AS value_label, COUNT(*) AS support + FROM "m10" + GROUP BY "n_cores" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2b7e543043c92957/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2b7e543043c92957/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ac7d283e057e9721f0dfed45e3495ddf12190461 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2b7e543043c92957/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m10_2b7e543043c92957\n-- problem_id: v2p_m10_28138b94809a9370\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"n_cores\" AS value_label, COUNT(*) AS support\n FROM \"m10\"\n GROUP BY \"n_cores\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m10_2b7e543043c92957\\n-- problem_id: v2p_m10_28138b94809a9370\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"n_cores\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m10\\\"\\n GROUP BY \\\"n_cores\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"4\", \"support\": 274, \"support_share\": 0.137, \"cumulative_support\": 274}, {\"value_label\": \"7\", \"support\": 259, \"support_share\": 0.1295, \"cumulative_support\": 533}, {\"value_label\": \"8\", \"support\": 256, \"support_share\": 0.128, \"cumulative_support\": 789}, {\"value_label\": \"2\", \"support\": 247, \"support_share\": 0.1235, \"cumulative_support\": 1036}, {\"value_label\": \"3\", \"support\": 246, \"support_share\": 0.123, \"cumulative_support\": 1282}, {\"value_label\": \"5\", \"support\": 246, \"support_share\": 0.123, \"cumulative_support\": 1528}, {\"value_label\": \"1\", \"support\": 242, \"support_share\": 0.121, \"cumulative_support\": 1770}, {\"value_label\": \"6\", \"support\": 230, \"support_share\": 0.115, \"cumulative_support\": 2000}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.17}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2b7e543043c92957/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2b7e543043c92957/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..21ea65448e3544c819d077cf01f90c624603ae77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2b7e543043c92957/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.596888+00:00", + "ended_at": "2026-05-19T16:08:44.598816+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_2b7e543043c92957", + "problem_id": "v2p_m10_28138b94809a9370", + "dataset_id": "m10", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=n_cores.", + "bindings": { + "group_col": "n_cores" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_2b7e543043c92957.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2b7e543043c92957/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2b7e543043c92957/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2b7e543043c92957/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b2dda271326c542e3b11887212551295905d11a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/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=three_g, measure_col=talk_time. +Result preview: [{"three_g": "0", "battery_power": "1949", "total_measure": 48.0, "share_within_group": 0.8805723720418271}, {"three_g": "0", "battery_power": "1271", "total_measure": 40.0, "share_within_group": 0.733810310034856}, {"three_g": "0", "battery_power": "1872", "total_measure": 35.0, "share_within_group": 0.642084021280499}, {"three_g": "0", "battery_power": "1893", "total_measure": 35.0, "share_within_group": 0.642084021280499}, {"three_g": "0", "battery_power": "1945", "total_measure": 35.0, "share_within_group": 0.642084021280499}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1d229d934ce6d55ea57d6941af1089c5c8e889f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_2da3525b24714e94 +-- problem_id: v2p_m10_544190f4ff0da7f9 +-- realization_mode: agent +-- source_kind: agent +SELECT + "three_g", + "battery_power", + SUM(CAST("talk_time" AS REAL)) AS total_measure, + SUM(CAST("talk_time" AS REAL)) * 100.0 / SUM(SUM(CAST("talk_time" AS REAL))) OVER (PARTITION BY "three_g") AS share_within_group +FROM "m10" +GROUP BY "three_g", "battery_power" +ORDER BY share_within_group DESC +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c9354012bb2a360fc8508d8c03225379bda59ee7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/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 \"three_g\",\n \"battery_power\",\n SUM(CAST(\"talk_time\" AS REAL)) AS total_measure,\n SUM(CAST(\"talk_time\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"talk_time\" AS REAL))) OVER (PARTITION BY \"three_g\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"three_g\", \"battery_power\"\nORDER BY share_within_group DESC\nLIMIT 11;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"three_g\\\",\\n \\\"battery_power\\\",\\n SUM(CAST(\\\"talk_time\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"talk_time\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"talk_time\\\" AS REAL))) OVER (PARTITION BY \\\"three_g\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"three_g\\\", \\\"battery_power\\\"\\nORDER BY share_within_group DESC\\nLIMIT 11;\", \"columns\": [\"three_g\", \"battery_power\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"three_g\": \"0\", \"battery_power\": \"1949\", \"total_measure\": 48.0, \"share_within_group\": 0.8805723720418271}, {\"three_g\": \"0\", \"battery_power\": \"1271\", \"total_measure\": 40.0, \"share_within_group\": 0.733810310034856}, {\"three_g\": \"0\", \"battery_power\": \"1872\", \"total_measure\": 35.0, \"share_within_group\": 0.642084021280499}, {\"three_g\": \"0\", \"battery_power\": \"1893\", \"total_measure\": 35.0, \"share_within_group\": 0.642084021280499}, {\"three_g\": \"0\", \"battery_power\": \"1945\", \"total_measure\": 35.0, \"share_within_group\": 0.642084021280499}, {\"three_g\": \"0\", \"battery_power\": \"1082\", \"total_measure\": 34.0, \"share_within_group\": 0.6237387635296275}, {\"three_g\": \"0\", \"battery_power\": \"1396\", \"total_measure\": 34.0, \"share_within_group\": 0.6237387635296275}, {\"three_g\": \"0\", \"battery_power\": \"842\", \"total_measure\": 33.0, \"share_within_group\": 0.6053935057787562}, {\"three_g\": \"0\", \"battery_power\": \"1310\", \"total_measure\": 32.0, \"share_within_group\": 0.5870482480278848}, {\"three_g\": \"0\", \"battery_power\": \"1430\", \"total_measure\": 32.0, \"share_within_group\": 0.5870482480278848}, {\"three_g\": \"0\", \"battery_power\": \"686\", \"total_measure\": 32.0, \"share_within_group\": 0.5870482480278848}], \"row_count_returned\": 11, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.36}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..154efc896f9400615693ddaeec645820c970d48c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:34:51.240742+00:00", + "ended_at": "2026-05-19T15:35:06.769979+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_2da3525b24714e94", + "problem_id": "v2p_m10_544190f4ff0da7f9", + "dataset_id": "m10", + "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=three_g, measure_col=talk_time.", + "bindings": { + "group_col": "three_g", + "measure_col": "talk_time", + "item_col": "battery_power", + "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": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=26" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_2da3525b24714e94.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_2da3525b24714e94", + "api_calls": 0, + "input_tokens": 15336, + "cached_input_tokens": 14720, + "output_tokens": 626, + "total_tokens": 15962, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15512.17, + "sql_execution_elapsed_ms_total": 11.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..318e1a2ee3039e351b56a5b7d5fdce33a0ca7fe7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:06.755612+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": 15512.17, "started_at": "2026-05-19T15:34:51.241706+00:00", "ended_at": "2026-05-19T15:35:06.753913+00:00", "prompt_metrics": {"chars": 10925, "bytes_utf8": 10925, "lines": 350, "estimated_tokens": null}, "response_metrics": {"chars": 610, "bytes_utf8": 610, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15336, "cached_input_tokens": 14720, "output_tokens": 626, "reasoning_output_tokens": 451}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"three_g\\\",\\n \\\"battery_power\\\",\\n SUM(CAST(\\\"talk_time\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"talk_time\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"talk_time\\\" AS REAL))) OVER (PARTITION BY \\\"three_g\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"three_g\\\", \\\"battery_power\\\"\\nORDER BY share_within_group DESC\\nLIMIT 11;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"three_g\\\", item_col=\\\"battery_power\\\", and measure_col=\\\"talk_time\\\". Cast \\\"talk_time\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7842f7011a63888953c329cecbc4d6a9427b0a9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_2da3525b24714e94", + "api_calls": 0, + "input_tokens": 15336, + "cached_input_tokens": 14720, + "output_tokens": 626, + "total_tokens": 15962, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15512.17, + "sql_execution_elapsed_ms_total": 11.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2da3525b24714e94/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..afeaa3e2500eeb6d6350aa76ab94b42d303fdbe0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/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": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 538, "bytes_utf8": 538, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15333, "cached_input_tokens": 12032, "output_tokens": 679, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4d675a75252ca97fa271b8a234539d4a16bbfd42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_2eb3ee51de761fe6", + "api_calls": 0, + "input_tokens": 15333, + "cached_input_tokens": 12032, + "output_tokens": 679, + "total_tokens": 16012, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14826.76, + "sql_execution_elapsed_ms_total": 6.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..992baf68f56264d994823736aea6f588c6cd0db5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:33:52.510614+00:00", + "ended_at": "2026-05-19T15:34:07.337410+00:00", + "elapsed_ms": 14826.76, + "prompt_metrics": { + "chars": 10901, + "bytes_utf8": 10901, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 922, + "bytes_utf8": 922, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 538, + "bytes_utf8": 538, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15333, + "cached_input_tokens": 12032, + "output_tokens": 679, + "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_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..00495504844885c09b15a69d07136e3a6403a289 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=sc_w, measure_col=sc_h.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "sc_w", + "measure_col": "sc_h", + "item_col": "px_width", + "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": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb642059858e3a22a62b534c1c76f6dcd282fc69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-3e13-7570-baed-790160022802"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"sc_w\\\", \\\"px_width\\\",\\n SUM(CAST(\\\"sc_h\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"sc_h\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"sc_h\\\" AS REAL))) OVER (PARTITION BY \\\"sc_w\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"sc_w\\\", \\\"px_width\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the required template with group_col=\\\"sc_w\\\", item_col=\\\"px_width\\\", and measure_col=\\\"sc_h\\\". \\\"sc_h\\\" is cast to REAL because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15333,"cached_input_tokens":12032,"output_tokens":679,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f0f63bed6f48b8e8f6a9239e9fc23deb6eae7904 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"sc_w\", \"px_width\",\n SUM(CAST(\"sc_h\" AS REAL)) AS total_measure,\n SUM(CAST(\"sc_h\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"sc_h\" AS REAL))) OVER (PARTITION BY \"sc_w\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"sc_w\", \"px_width\"\nORDER BY share_within_group DESC;","notes":"Uses the required template with group_col=\"sc_w\", item_col=\"px_width\", and measure_col=\"sc_h\". \"sc_h\" is cast to REAL because the schema stores numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2eb3ee51de761fe6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..56c47b934c1feec1efe08abff375657ff2f465d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10694, "bytes_utf8": 10694, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1706, "bytes_utf8": 1706, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15256, "cached_input_tokens": 14720, "output_tokens": 1089, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ee04990e93acc443079da57e56506c398569d504 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_305e32b6f5aa94a5", + "api_calls": 0, + "input_tokens": 15256, + "cached_input_tokens": 14720, + "output_tokens": 1089, + "total_tokens": 16345, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17669.71, + "sql_execution_elapsed_ms_total": 18.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a72538ea08cd5e1d0977756a52ffc979a1c191b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:29.209776+00:00", + "ended_at": "2026-05-19T15:55:46.879519+00:00", + "elapsed_ms": 17669.71, + "prompt_metrics": { + "chars": 10694, + "bytes_utf8": 10694, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2307, + "bytes_utf8": 2307, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1706, + "bytes_utf8": 1706, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15256, + "cached_input_tokens": 14720, + "output_tokens": 1089, + "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_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a4697c0ae83d9cff23b9c9cbc3bf87751c9e598 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=price_range, measure_col=n_cores.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "price_range", + "measure_col": "n_cores", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f35e27bc228d656c07827b701da3427397a94392 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-0747-7e83-9835-2fe9bdd404f8"} +{"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 \\\"price_range\\\",\\n CAST(\\\"n_cores\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"price_range\\\"\\n ORDER BY CAST(\\\"n_cores\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"price_range\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"price_range\\\" IS NOT NULL\\n AND \\\"n_cores\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"price_range\\\",\\n (0.95 * (\\\"cnt\\\" - 1) + 1.0) AS \\\"pos\\\",\\n CAST((0.95 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST((0.95 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) + (((0.95 * (\\\"cnt\\\" - 1) + 1.0) > CAST((0.95 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER))) AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n o.\\\"price_range\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"ordered\\\" AS o\\n JOIN \\\"positions\\\" AS p\\n ON o.\\\"price_range\\\" = p.\\\"price_range\\\"\\n GROUP BY o.\\\"price_range\\\", p.\\\"pos\\\", p.\\\"lower_rn\\\", p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"price_range\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + ((\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Replaced unsupported PERCENTILE_CONT with a SQLite window-function emulation of the 0.95 continuous percentile for each \\\"price_range\\\" group, casting \\\"n_cores\\\" from TEXT to REAL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15256,"cached_input_tokens":14720,"output_tokens":1089,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f24a39e4f458e1e73897a21cd1917d7b9ae641a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"price_range\",\n CAST(\"n_cores\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"price_range\"\n ORDER BY CAST(\"n_cores\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"price_range\") AS \"cnt\"\n FROM \"m10\"\n WHERE \"price_range\" IS NOT NULL\n AND \"n_cores\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"price_range\",\n (0.95 * (\"cnt\" - 1) + 1.0) AS \"pos\",\n CAST((0.95 * (\"cnt\" - 1) + 1.0) AS INTEGER) AS \"lower_rn\",\n CAST((0.95 * (\"cnt\" - 1) + 1.0) AS INTEGER) + (((0.95 * (\"cnt\" - 1) + 1.0) > CAST((0.95 * (\"cnt\" - 1) + 1.0) AS INTEGER))) AS \"upper_rn\"\n FROM \"ordered\"\n),\n\"picked\" AS (\n SELECT\n o.\"price_range\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure\" END) AS \"lower_value\",\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure\" END) AS \"upper_value\"\n FROM \"ordered\" AS o\n JOIN \"positions\" AS p\n ON o.\"price_range\" = p.\"price_range\"\n GROUP BY o.\"price_range\", p.\"pos\", p.\"lower_rn\", p.\"upper_rn\"\n)\nSELECT\n \"price_range\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + ((\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\"))\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"Replaced unsupported PERCENTILE_CONT with a SQLite window-function emulation of the 0.95 continuous percentile for each \"price_range\" group, casting \"n_cores\" from TEXT to REAL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_305e32b6f5aa94a5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..56b4f2475bf4e2098004a4bb01200f683187d206 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/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=talk_time, measure_col=clock_speed. +Result preview: [{"talk_time": 2, "percentile_measure": 2.8}, {"talk_time": 3, "percentile_measure": 2.8}, {"talk_time": 10, "percentile_measure": 2.8}, {"talk_time": 16, "percentile_measure": 2.8}, {"talk_time": 17, "percentile_measure": 2.8}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ec8e51c2fe552386f709a9bf33aefd107ca13e91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/generated_sql.sql @@ -0,0 +1,40 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_307eded8c7a01308 +-- problem_id: v2p_m10_4b37c6c011a2a7f4 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + CAST("talk_time" AS NUMERIC) AS "talk_time", + CAST("clock_speed" AS NUMERIC) AS "clock_speed", + ROW_NUMBER() OVER ( + PARTITION BY CAST("talk_time" AS NUMERIC) + ORDER BY CAST("clock_speed" AS NUMERIC) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY CAST("talk_time" AS NUMERIC) + ) AS "cnt" + FROM "m10" + WHERE "talk_time" IS NOT NULL + AND "clock_speed" IS NOT NULL +), +"percentile_points" AS ( + SELECT + "talk_time", + "clock_speed" AS "percentile_measure" + FROM "ranked" + WHERE "rn" = CAST((("cnt" * 9) + 9) / 10 AS INTEGER) +) +SELECT + "talk_time", + "percentile_measure" +FROM "percentile_points" +ORDER BY "percentile_measure" DESC, "talk_time"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f4d415b85f8679063a580cfeed1d652d83229393 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n CAST(\"talk_time\" AS NUMERIC) AS \"talk_time\",\n CAST(\"clock_speed\" AS NUMERIC) AS \"clock_speed\",\n ROW_NUMBER() OVER (\n PARTITION BY CAST(\"talk_time\" AS NUMERIC)\n ORDER BY CAST(\"clock_speed\" AS NUMERIC)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY CAST(\"talk_time\" AS NUMERIC)\n ) AS \"cnt\"\n FROM \"m10\"\n WHERE \"talk_time\" IS NOT NULL\n AND \"clock_speed\" IS NOT NULL\n),\n\"percentile_points\" AS (\n SELECT\n \"talk_time\",\n \"clock_speed\" AS \"percentile_measure\"\n FROM \"ranked\"\n WHERE \"rn\" = CAST(((\"cnt\" * 9) + 9) / 10 AS INTEGER)\n)\nSELECT\n \"talk_time\",\n \"percentile_measure\"\nFROM \"percentile_points\"\nORDER BY \"percentile_measure\" DESC, \"talk_time\";", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n CAST(\\\"talk_time\\\" AS NUMERIC) AS \\\"talk_time\\\",\\n CAST(\\\"clock_speed\\\" AS NUMERIC) AS \\\"clock_speed\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY CAST(\\\"talk_time\\\" AS NUMERIC)\\n ORDER BY CAST(\\\"clock_speed\\\" AS NUMERIC)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY CAST(\\\"talk_time\\\" AS NUMERIC)\\n ) AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"talk_time\\\" IS NOT NULL\\n AND \\\"clock_speed\\\" IS NOT NULL\\n),\\n\\\"percentile_points\\\" AS (\\n SELECT\\n \\\"talk_time\\\",\\n \\\"clock_speed\\\" AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" = CAST(((\\\"cnt\\\" * 9) + 9) / 10 AS INTEGER)\\n)\\nSELECT\\n \\\"talk_time\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentile_points\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"talk_time\\\";\", \"columns\": [\"talk_time\", \"percentile_measure\"], \"rows\": [{\"talk_time\": 2, \"percentile_measure\": 2.8}, {\"talk_time\": 3, \"percentile_measure\": 2.8}, {\"talk_time\": 10, \"percentile_measure\": 2.8}, {\"talk_time\": 16, \"percentile_measure\": 2.8}, {\"talk_time\": 17, \"percentile_measure\": 2.8}, {\"talk_time\": 20, \"percentile_measure\": 2.8}, {\"talk_time\": 5, \"percentile_measure\": 2.7}, {\"talk_time\": 9, \"percentile_measure\": 2.7}, {\"talk_time\": 12, \"percentile_measure\": 2.7}, {\"talk_time\": 14, \"percentile_measure\": 2.7}, {\"talk_time\": 19, \"percentile_measure\": 2.7}, {\"talk_time\": 4, \"percentile_measure\": 2.6}, {\"talk_time\": 6, \"percentile_measure\": 2.6}, {\"talk_time\": 7, \"percentile_measure\": 2.6}, {\"talk_time\": 8, \"percentile_measure\": 2.6}, {\"talk_time\": 13, \"percentile_measure\": 2.6}, {\"talk_time\": 15, \"percentile_measure\": 2.6}, {\"talk_time\": 18, \"percentile_measure\": 2.6}, {\"talk_time\": 11, \"percentile_measure\": 2.5}], \"row_count_returned\": 19, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.84}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..54ddba222c5fa139e37d616c16a1c80356ddb88b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:51:00.061267+00:00", + "ended_at": "2026-05-19T15:51:15.650769+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_307eded8c7a01308", + "problem_id": "v2p_m10_4b37c6c011a2a7f4", + "dataset_id": "m10", + "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=talk_time, measure_col=clock_speed.", + "bindings": { + "group_col": "talk_time", + "measure_col": "clock_speed", + "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": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=85" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_307eded8c7a01308.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_307eded8c7a01308", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 840, + "total_tokens": 16095, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15579.99, + "sql_execution_elapsed_ms_total": 4.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..981cd86f1165837458bdc4ae632c946404151fdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:15.644037+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": 15579.99, "started_at": "2026-05-19T15:51:00.063226+00:00", "ended_at": "2026-05-19T15:51:15.643248+00:00", "prompt_metrics": {"chars": 10694, "bytes_utf8": 10694, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 1124, "bytes_utf8": 1124, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15255, "cached_input_tokens": 14720, "output_tokens": 840, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n CAST(\\\"talk_time\\\" AS NUMERIC) AS \\\"talk_time\\\",\\n CAST(\\\"clock_speed\\\" AS NUMERIC) AS \\\"clock_speed\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY CAST(\\\"talk_time\\\" AS NUMERIC)\\n ORDER BY CAST(\\\"clock_speed\\\" AS NUMERIC)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY CAST(\\\"talk_time\\\" AS NUMERIC)\\n ) AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"talk_time\\\" IS NOT NULL\\n AND \\\"clock_speed\\\" IS NOT NULL\\n),\\n\\\"percentile_points\\\" AS (\\n SELECT\\n \\\"talk_time\\\",\\n \\\"clock_speed\\\" AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" = CAST(((\\\"cnt\\\" * 9) + 9) / 10 AS INTEGER)\\n)\\nSELECT\\n \\\"talk_time\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentile_points\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"talk_time\\\";\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this approximates the 0.9 percentile per talk_time group by selecting the value at rank CEIL(0.9 * grou"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6a39175b4eb61e80e6a4780651fc8d508f68f9a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_307eded8c7a01308", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 840, + "total_tokens": 16095, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15579.99, + "sql_execution_elapsed_ms_total": 4.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..833035e664228be4ce0a8f9e5f4ace229452c53a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/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=dual_sim. +Result preview: [{"dual_sim": "0", "support": 981}, {"dual_sim": "1", "support": 1019}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0d4ece4732808682dee071d5fa5b0e731618843c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_30b36c86194f4dd3 +-- problem_id: v2p_m10_0941414f3c31b7cc +-- realization_mode: agent +-- source_kind: agent +SELECT + "dual_sim", + COUNT(*) AS "support" +FROM "m10" +GROUP BY "dual_sim" +ORDER BY "support" ASC, "dual_sim" +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cc981ca8fbf3db793f0199500b7babe5d0526742 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/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 \"dual_sim\",\n COUNT(*) AS \"support\"\nFROM \"m10\"\nGROUP BY \"dual_sim\"\nORDER BY \"support\" ASC, \"dual_sim\"\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"dual_sim\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"dual_sim\\\"\\nORDER BY \\\"support\\\" ASC, \\\"dual_sim\\\"\\nLIMIT 12;\", \"columns\": [\"dual_sim\", \"support\"], \"rows\": [{\"dual_sim\": \"0\", \"support\": 981}, {\"dual_sim\": \"1\", \"support\": 1019}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.87}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7cfc12d26c71097788ddd230e569722674c9b5c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:04:04.728973+00:00", + "ended_at": "2026-05-19T16:04:12.065809+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_30b36c86194f4dd3", + "problem_id": "v2p_m10_0941414f3c31b7cc", + "dataset_id": "m10", + "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=dual_sim.", + "bindings": { + "group_col": "dual_sim", + "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": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=1/2", + "binding_index=122" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_30b36c86194f4dd3.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_30b36c86194f4dd3", + "api_calls": 0, + "input_tokens": 15228, + "cached_input_tokens": 14720, + "output_tokens": 235, + "total_tokens": 15463, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7332.66, + "sql_execution_elapsed_ms_total": 0.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..865ebffb4b8e2f994b4e3f74fb9081b1885cc98d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:12.063763+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": 7332.66, "started_at": "2026-05-19T16:04:04.730364+00:00", "ended_at": "2026-05-19T16:04:12.063058+00:00", "prompt_metrics": {"chars": 10499, "bytes_utf8": 10499, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 326, "bytes_utf8": 326, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15228, "cached_input_tokens": 14720, "output_tokens": 235, "reasoning_output_tokens": 138}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"dual_sim\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"dual_sim\\\"\\nORDER BY \\\"support\\\" ASC, \\\"dual_sim\\\"\\nLIMIT 12;\",\"notes\":\"Applied the Low-Support Group Count template with group_col bound to \\\"dual_sim\\\" on the single table \\\"m10\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..98a18dcfd103845fb7be60297397103e132e7fb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_30b36c86194f4dd3", + "api_calls": 0, + "input_tokens": 15228, + "cached_input_tokens": 14720, + "output_tokens": 235, + "total_tokens": 15463, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7332.66, + "sql_execution_elapsed_ms_total": 0.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30b36c86194f4dd3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..65a1ed34dcfa5d499d3b0090e21641c4c05e6f2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10896, "bytes_utf8": 10896, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 516, "bytes_utf8": 516, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15332, "cached_input_tokens": 14720, "output_tokens": 553, "reasoning_output_tokens": 399}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..af5785a317160676c2bfc76f0f0e0e05c091705c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_30ccad4ba192892f", + "api_calls": 0, + "input_tokens": 15332, + "cached_input_tokens": 14720, + "output_tokens": 553, + "total_tokens": 15885, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12105.51, + "sql_execution_elapsed_ms_total": 14.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..60ac88006fb13c0fc0a957c5ce14b41c8d4aaffe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:47.415256+00:00", + "ended_at": "2026-05-19T15:38:59.520810+00:00", + "elapsed_ms": 12105.51, + "prompt_metrics": { + "chars": 10896, + "bytes_utf8": 10896, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 900, + "bytes_utf8": 900, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 516, + "bytes_utf8": 516, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15332, + "cached_input_tokens": 14720, + "output_tokens": 553, + "reasoning_output_tokens": 399 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3ff925fca32a24f54ac8b1f686cc14ba642587d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=four_g, measure_col=pc.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "four_g", + "measure_col": "pc", + "item_col": "ram", + "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": 13.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c64fe63299b01c95026e5c1aea6ee9e227e3231 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-bdf2-7081-a759-816eb5092824"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"four_g\\\", \\\"ram\\\",\\n SUM(CAST(\\\"pc\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"pc\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"pc\\\" AS REAL))) OVER (PARTITION BY \\\"four_g\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"four_g\\\", \\\"ram\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required template with group_col=\\\"four_g\\\", item_col=\\\"ram\\\", and measure_col=\\\"pc\\\". \\\"pc\\\" is cast from TEXT to REAL for numeric aggregation in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15332,"cached_input_tokens":14720,"output_tokens":553,"reasoning_output_tokens":399}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6e13c64e8e9eda260aec413e34e3a16327cabc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"four_g\", \"ram\",\n SUM(CAST(\"pc\" AS REAL)) AS total_measure,\n SUM(CAST(\"pc\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"pc\" AS REAL))) OVER (PARTITION BY \"four_g\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"four_g\", \"ram\"\nORDER BY share_within_group DESC;","notes":"Used the required template with group_col=\"four_g\", item_col=\"ram\", and measure_col=\"pc\". \"pc\" is cast from TEXT to REAL for numeric aggregation in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_30ccad4ba192892f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9596f8e767455ad29961f1aed4664093d4e519c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/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=fc. +Result preview: [{"fc": "19", "support": 1}, {"fc": "17", "support": 6}, {"fc": "18", "support": 11}, {"fc": "14", "support": 20}, {"fc": "15", "support": 23}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d1a299c1d5414bb769ec059b84b1e49b5677b0f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_32b1c8c3b98ee06b +-- problem_id: v2p_m10_f311617008bd3ef7 +-- realization_mode: agent +-- source_kind: agent +SELECT + "fc", + COUNT(*) AS support +FROM "m10" +GROUP BY "fc" +ORDER BY support ASC, "fc" +LIMIT 18; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3fee36eefca2aac09ec6e8341349a4840766d7b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/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 \"fc\",\n COUNT(*) AS support\nFROM \"m10\"\nGROUP BY \"fc\"\nORDER BY support ASC, \"fc\"\nLIMIT 18;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"fc\\\",\\n COUNT(*) AS support\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\"\\nORDER BY support ASC, \\\"fc\\\"\\nLIMIT 18;\", \"columns\": [\"fc\", \"support\"], \"rows\": [{\"fc\": \"19\", \"support\": 1}, {\"fc\": \"17\", \"support\": 6}, {\"fc\": \"18\", \"support\": 11}, {\"fc\": \"14\", \"support\": 20}, {\"fc\": \"15\", \"support\": 23}, {\"fc\": \"16\", \"support\": 24}, {\"fc\": \"13\", \"support\": 40}, {\"fc\": \"12\", \"support\": 45}, {\"fc\": \"11\", \"support\": 51}, {\"fc\": \"10\", \"support\": 62}, {\"fc\": \"8\", \"support\": 77}, {\"fc\": \"9\", \"support\": 78}, {\"fc\": \"7\", \"support\": 100}, {\"fc\": \"6\", \"support\": 112}, {\"fc\": \"4\", \"support\": 133}, {\"fc\": \"5\", \"support\": 139}, {\"fc\": \"3\", \"support\": 170}, {\"fc\": \"2\", \"support\": 189}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.07}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0db469f78dc1f8fc400a79ad3e4d9b60139370c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:04:45.505601+00:00", + "ended_at": "2026-05-19T16:04:57.339169+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_32b1c8c3b98ee06b", + "problem_id": "v2p_m10_f311617008bd3ef7", + "dataset_id": "m10", + "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=fc.", + "bindings": { + "group_col": "fc", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=123" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_32b1c8c3b98ee06b.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_32b1c8c3b98ee06b", + "api_calls": 0, + "input_tokens": 15225, + "cached_input_tokens": 12032, + "output_tokens": 562, + "total_tokens": 15787, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11828.41, + "sql_execution_elapsed_ms_total": 1.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9ceb4d450a5207720f8e50d63f33681ec34b6144 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:57.336464+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": 11828.41, "started_at": "2026-05-19T16:04:45.507283+00:00", "ended_at": "2026-05-19T16:04:57.335710+00:00", "prompt_metrics": {"chars": 10488, "bytes_utf8": 10488, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 308, "bytes_utf8": 308, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15225, "cached_input_tokens": 12032, "output_tokens": 562, "reasoning_output_tokens": 473}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"fc\\\",\\n COUNT(*) AS support\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\"\\nORDER BY support ASC, \\\"fc\\\"\\nLIMIT 18;\",\"notes\":\"Uses the Low-Support Group Count template with \\\"fc\\\" as the grouping column and returns the 18 lowest-support groups.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5ae997bd3334f729aece0aa92b8dc8e017c36897 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_32b1c8c3b98ee06b", + "api_calls": 0, + "input_tokens": 15225, + "cached_input_tokens": 12032, + "output_tokens": 562, + "total_tokens": 15787, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11828.41, + "sql_execution_elapsed_ms_total": 1.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8d1c2487d6092ee6701476880f1c06a41d1a243 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/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=four_g, measure_col=pc. +Result preview: [{"four_g": "0", "ram": "1713", "total_measure": 56.0, "share_within_group": 0.5879882402351952}, {"four_g": "1", "ram": "2073", "total_measure": 53.0, "share_within_group": 0.5141138810747891}, {"four_g": "1", "ram": "1464", "total_measure": 45.0, "share_within_group": 0.4365117858182171}, {"four_g": "1", "ram": "3869", "total_measure": 41.0, "share_within_group": 0.39771073818993113}, {"four_g": "0", "ram": "1457", "total_measure": 37.0, "share_within_group": 0.3884922301553969}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b4f77ac5003a4d54c858f3677e394ed516c2ef21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_354faee30e6b3bbf +-- problem_id: v2p_m10_eaf378a37b032a8b +-- realization_mode: agent +-- source_kind: agent +SELECT "four_g", "ram", + SUM(CAST("pc" AS REAL)) AS total_measure, + SUM(CAST("pc" AS REAL)) * 100.0 / SUM(SUM(CAST("pc" AS REAL))) OVER (PARTITION BY "four_g") AS share_within_group +FROM "m10" +GROUP BY "four_g", "ram" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..819f86c24f1f6e85c82dee99b965a7652459b342 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/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 \"four_g\", \"ram\",\n SUM(CAST(\"pc\" AS REAL)) AS total_measure,\n SUM(CAST(\"pc\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"pc\" AS REAL))) OVER (PARTITION BY \"four_g\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"four_g\", \"ram\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share.\\nSELECT \\\"four_g\\\", \\\"ram\\\",\\n SUM(CAST(\\\"pc\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"pc\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"pc\\\" AS REAL))) OVER (PARTITION BY \\\"four_g\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"four_g\\\", \\\"ram\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"four_g\", \"ram\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"four_g\": \"0\", \"ram\": \"1713\", \"total_measure\": 56.0, \"share_within_group\": 0.5879882402351952}, {\"four_g\": \"1\", \"ram\": \"2073\", \"total_measure\": 53.0, \"share_within_group\": 0.5141138810747891}, {\"four_g\": \"1\", \"ram\": \"1464\", \"total_measure\": 45.0, \"share_within_group\": 0.4365117858182171}, {\"four_g\": \"1\", \"ram\": \"3869\", \"total_measure\": 41.0, \"share_within_group\": 0.39771073818993113}, {\"four_g\": \"0\", \"ram\": \"1457\", \"total_measure\": 37.0, \"share_within_group\": 0.3884922301553969}, {\"four_g\": \"1\", \"ram\": \"1869\", \"total_measure\": 40.0, \"share_within_group\": 0.3880104762828596}, {\"four_g\": \"1\", \"ram\": \"1277\", \"total_measure\": 39.0, \"share_within_group\": 0.37831021437578816}, {\"four_g\": \"0\", \"ram\": \"905\", \"total_measure\": 36.0, \"share_within_group\": 0.377992440151197}, {\"four_g\": \"0\", \"ram\": \"1183\", \"total_measure\": 35.0, \"share_within_group\": 0.36749265014699706}, {\"four_g\": \"0\", \"ram\": \"2334\", \"total_measure\": 35.0, \"share_within_group\": 0.36749265014699706}, {\"four_g\": \"0\", \"ram\": \"509\", \"total_measure\": 34.0, \"share_within_group\": 0.35699286014279713}, {\"four_g\": \"1\", \"ram\": \"2190\", \"total_measure\": 36.0, \"share_within_group\": 0.34920942865457366}, {\"four_g\": \"1\", \"ram\": \"2563\", \"total_measure\": 36.0, \"share_within_group\": 0.34920942865457366}, {\"four_g\": \"0\", \"ram\": \"1886\", \"total_measure\": 33.0, \"share_within_group\": 0.3464930701385972}, {\"four_g\": \"0\", \"ram\": \"1998\", \"total_measure\": 33.0, \"share_within_group\": 0.3464930701385972}, {\"four_g\": \"0\", \"ram\": \"3206\", \"total_measure\": 32.0, \"share_within_group\": 0.33599328013439733}, {\"four_g\": \"0\", \"ram\": \"568\", \"total_measure\": 32.0, \"share_within_group\": 0.33599328013439733}, {\"four_g\": \"1\", \"ram\": \"3970\", \"total_measure\": 34.0, \"share_within_group\": 0.3298089048404307}, {\"four_g\": \"1\", \"ram\": \"714\", \"total_measure\": 34.0, \"share_within_group\": 0.3298089048404307}, {\"four_g\": \"0\", \"ram\": \"1587\", \"total_measure\": 31.0, \"share_within_group\": 0.3254934901301974}, {\"four_g\": \"1\", \"ram\": \"1229\", \"total_measure\": 33.0, \"share_within_group\": 0.3201086429333592}, {\"four_g\": \"1\", \"ram\": \"2278\", \"total_measure\": 33.0, \"share_within_group\": 0.3201086429333592}, {\"four_g\": \"1\", \"ram\": \"2674\", \"total_measure\": 33.0, \"share_within_group\": 0.3201086429333592}, {\"four_g\": \"1\", \"ram\": \"2711\", \"total_measure\": 33.0, \"share_within_group\": 0.3201086429333592}, {\"four_g\": \"0\", \"ram\": \"1667\", \"total_measure\": 30.0, \"share_within_group\": 0.3149937001259975}, {\"four_g\": \"0\", \"ram\": \"2466\", \"total_measure\": 30.0, \"share_within_group\": 0.3149937001259975}, {\"four_g\": \"0\", \"ram\": \"3153\", \"total_measure\": 30.0, \"share_within_group\": 0.3149937001259975}, {\"four_g\": \"0\", \"ram\": \"3927\", \"total_measure\": 30.0, \"share_within_group\": 0.3149937001259975}, {\"four_g\": \"0\", \"ram\": \"725\", \"total_measure\": 30.0, \"share_within_group\": 0.3149937001259975}, {\"four_g\": \"1\", \"ram\": \"2855\", \"total_measure\": 32.0, \"share_within_group\": 0.3104083810262877}, {\"four_g\": \"1\", \"ram\": \"504\", \"total_measure\": 32.0, \"share_within_group\": 0.3104083810262877}, {\"four_g\": \"0\", \"ram\": \"3438\", \"total_measure\": 29.0, \"share_within_group\": 0.30449391012179755}, {\"four_g\": \"1\", \"ram\": \"2583\", \"total_measure\": 31.0, \"share_within_group\": 0.30070811911921624}, {\"four_g\": \"1\", \"ram\": \"941\", \"total_measure\": 31.0, \"share_within_group\": 0.30070811911921624}, {\"four_g\": \"0\", \"ram\": \"1380\", \"total_measure\": 28.0, \"share_within_group\": 0.2939941201175976}, {\"four_g\": \"0\", \"ram\": \"418\", \"total_measure\": 28.0, \"share_within_group\": 0.2939941201175976}, {\"four_g\": \"0\", \"ram\": \"841\", \"total_measure\": 28.0, \"share_within_group\": 0.2939941201175976}, {\"four_g\": \"1\", \"ram\": \"1601\", \"total_measure\": 30.0, \"share_within_group\": 0.2910078572121447}, {\"four_g\": \"1\", \"ram\": \"2219\", \"total_measure\": 30.0, \"share_within_group\": 0.2910078572121447}, {\"four_g\": \"0\", \"ram\": \"1181\", \"total_measure\": 27.0, \"share_within_group\": 0.28349433011339775}, {\"four_g\": \"0\", \"ram\": \"2598\", \"total_measure\": 27.0, \"share_within_group\": 0.28349433011339775}, {\"four_g\": \"1\", \"ram\": \"2317\", \"total_measure\": 29.0, \"share_within_group\": 0.2813075953050732}, {\"four_g\": \"1\", \"ram\": \"2977\", \"total_measure\": 29.0, \"share_within_group\": 0.2813075953050732}, {\"four_g\": \"1\", \"ram\": \"315\", \"total_measure\": 29.0, \"share_within_group\": 0.2813075953050732}, {\"four_g\": \"0\", \"ram\": \"2150\", \"total_measure\": 26.0, \"share_within_group\": 0.2729945401091978}, {\"four_g\": \"0\", \"ram\": \"2376\", \"total_measure\": 26.0, \"share_within_group\": 0.2729945401091978}, {\"four_g\": \"0\", \"ram\": \"3764\", \"total_measure\": 26.0, \"share_within_group\": 0.2729945401091978}, {\"four_g\": \"0\", \"ram\": \"575\", \"total_measure\": 26.0, \"share_within_group\": 0.2729945401091978}, {\"four_g\": \"0\", \"ram\": \"770\", \"total_measure\": 26.0, \"share_within_group\": 0.2729945401091978}, {\"four_g\": \"1\", \"ram\": \"2944\", \"total_measure\": 28.0, \"share_within_group\": 0.27160733339800175}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 11.2}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4c5264ec7fe68fe1f78e0753b94002e5ceb693b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:38:35.378283+00:00", + "ended_at": "2026-05-19T15:38:47.411704+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_354faee30e6b3bbf", + "problem_id": "v2p_m10_eaf378a37b032a8b", + "dataset_id": "m10", + "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=four_g, measure_col=pc.", + "bindings": { + "group_col": "four_g", + "measure_col": "pc", + "item_col": "ram", + "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": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=11", + "sql_variant_index=1/2", + "binding_index=34" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_354faee30e6b3bbf.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_354faee30e6b3bbf", + "api_calls": 0, + "input_tokens": 15333, + "cached_input_tokens": 12032, + "output_tokens": 620, + "total_tokens": 15953, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12016.02, + "sql_execution_elapsed_ms_total": 11.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aebc0e6c6ac5271e23ab0c15e39661453633dbd1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:47.397454+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": 12016.02, "started_at": "2026-05-19T15:38:35.380502+00:00", "ended_at": "2026-05-19T15:38:47.396558+00:00", "prompt_metrics": {"chars": 10899, "bytes_utf8": 10899, "lines": 350, "estimated_tokens": null}, "response_metrics": {"chars": 515, "bytes_utf8": 515, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15333, "cached_input_tokens": 12032, "output_tokens": 620, "reasoning_output_tokens": 468}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share.\\nSELECT \\\"four_g\\\", \\\"ram\\\",\\n SUM(CAST(\\\"pc\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"pc\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"pc\\\" AS REAL))) OVER (PARTITION BY \\\"four_g\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"four_g\\\", \\\"ram\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the provided template with group_col=\\\"four_g\\\", item_col=\\\"ram\\\", and measure_col=\\\"pc\\\". CAST is applied because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ceeef8532ff0b9ddc9162607ce8771b64ef1e15f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_354faee30e6b3bbf", + "api_calls": 0, + "input_tokens": 15333, + "cached_input_tokens": 12032, + "output_tokens": 620, + "total_tokens": 15953, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12016.02, + "sql_execution_elapsed_ms_total": 11.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0563b846894365c4c756b4d6f0caefff7ef6e1e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/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=sc_h. +Result preview: [{"sc_h": 19.0}, {"sc_h": 19.0}, {"sc_h": 19.0}, {"sc_h": 19.0}, {"sc_h": 19.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4a522334f17ef8203396831c7a5183c6a20daf97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_35677a138a50f89c +-- problem_id: v2p_m10_09cb32d673ff2c7b +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("sc_h" AS REAL) AS "sc_h", + NTILE(10) OVER (ORDER BY CAST("sc_h" AS REAL) DESC) AS "tail_bucket" + FROM "m10" +) +SELECT "sc_h" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY "sc_h" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7627eb5ec7df99223dc3bc98a097891dfd8742e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"sc_h\" AS REAL) AS \"sc_h\",\n NTILE(10) OVER (ORDER BY CAST(\"sc_h\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m10\"\n)\nSELECT \"sc_h\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"sc_h\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"sc_h\\\" AS REAL) AS \\\"sc_h\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"sc_h\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"sc_h\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"sc_h\\\" DESC;\", \"columns\": [\"sc_h\"], \"rows\": [{\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}, {\"sc_h\": 19.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.3}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..50476b30474d359047f0bc31de95399371a2e07e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:44:58.693806+00:00", + "ended_at": "2026-05-19T15:45:22.455773+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_35677a138a50f89c", + "problem_id": "v2p_m10_09cb32d673ff2c7b", + "dataset_id": "m10", + "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=sc_h.", + "bindings": { + "measure_col": "sc_h", + "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": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=66" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_35677a138a50f89c.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_35677a138a50f89c", + "api_calls": 0, + "input_tokens": 15269, + "cached_input_tokens": 14720, + "output_tokens": 339, + "total_tokens": 15608, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23753.77, + "sql_execution_elapsed_ms_total": 4.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..11dc17685adec49f20cb599ccbbf2ceea2a0c8ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:22.449678+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": 23753.77, "started_at": "2026-05-19T15:44:58.694883+00:00", "ended_at": "2026-05-19T15:45:22.448675+00:00", "prompt_metrics": {"chars": 10673, "bytes_utf8": 10673, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 533, "bytes_utf8": 533, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15269, "cached_input_tokens": 14720, "output_tokens": 339, "reasoning_output_tokens": 184}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"sc_h\\\" AS REAL) AS \\\"sc_h\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"sc_h\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"sc_h\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"sc_h\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"sc_h\\\" and num_tiles=10. Cast \\\"sc_h\\\" to REAL because the SQLite snapshot stores columns as TEXT, and numeric ordering is required for the tail slice.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e4e88a9ea2a1722964b0ffb85ee22128d421b217 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_35677a138a50f89c", + "api_calls": 0, + "input_tokens": 15269, + "cached_input_tokens": 14720, + "output_tokens": 339, + "total_tokens": 15608, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23753.77, + "sql_execution_elapsed_ms_total": 4.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d3275b2d6f6692e6ec368379aa396e2a2fc3bc14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=fc. +Result preview: [{"fc": "19", "support": 1}, {"fc": "17", "support": 6}, {"fc": "18", "support": 11}, {"fc": "14", "support": 20}, {"fc": "15", "support": 23}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..81703499abd7874c9899924d32bf9584e1404cd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_37f5ea616a5a6f3a +-- problem_id: v2p_m10_ae58b4bb7199f4e1 +-- realization_mode: agent +-- source_kind: agent +SELECT + "fc", + COUNT(*) AS "support" +FROM "m10" +GROUP BY "fc" +ORDER BY "support" ASC, "fc" +LIMIT 13; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6c1d488c7696cf76d0530ad50d72f892e5d26482 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/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 \"fc\",\n COUNT(*) AS \"support\"\nFROM \"m10\"\nGROUP BY \"fc\"\nORDER BY \"support\" ASC, \"fc\"\nLIMIT 13;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"fc\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\"\\nORDER BY \\\"support\\\" ASC, \\\"fc\\\"\\nLIMIT 13;\", \"columns\": [\"fc\", \"support\"], \"rows\": [{\"fc\": \"19\", \"support\": 1}, {\"fc\": \"17\", \"support\": 6}, {\"fc\": \"18\", \"support\": 11}, {\"fc\": \"14\", \"support\": 20}, {\"fc\": \"15\", \"support\": 23}, {\"fc\": \"16\", \"support\": 24}, {\"fc\": \"13\", \"support\": 40}, {\"fc\": \"12\", \"support\": 45}, {\"fc\": \"11\", \"support\": 51}, {\"fc\": \"10\", \"support\": 62}, {\"fc\": \"8\", \"support\": 77}, {\"fc\": \"9\", \"support\": 78}, {\"fc\": \"7\", \"support\": 100}], \"row_count_returned\": 13, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.13}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..589e0fa65545e0e5740a80e4078852cfcb5536d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:04:22.111389+00:00", + "ended_at": "2026-05-19T16:04:45.504855+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_37f5ea616a5a6f3a", + "problem_id": "v2p_m10_ae58b4bb7199f4e1", + "dataset_id": "m10", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=fc.", + "bindings": { + "group_col": "fc", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=1/2", + "binding_index=123" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_37f5ea616a5a6f3a.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_37f5ea616a5a6f3a", + "api_calls": 0, + "input_tokens": 15223, + "cached_input_tokens": 14720, + "output_tokens": 959, + "total_tokens": 16182, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23387.73, + "sql_execution_elapsed_ms_total": 1.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cb0e1877eadca0af56479bb900e0af5f8a646b07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:45.502531+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": 23387.73, "started_at": "2026-05-19T16:04:22.113979+00:00", "ended_at": "2026-05-19T16:04:45.501762+00:00", "prompt_metrics": {"chars": 10486, "bytes_utf8": 10486, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 287, "bytes_utf8": 287, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15223, "cached_input_tokens": 14720, "output_tokens": 959, "reasoning_output_tokens": 868}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"fc\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\"\\nORDER BY \\\"support\\\" ASC, \\\"fc\\\"\\nLIMIT 13;\",\"notes\":\"Applies the Low-Support Group Count template with group_col bound to \\\"fc\\\" and top_k=13.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..eaae0387508e2d9cc3b6958809c0e8adc0da7f93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_37f5ea616a5a6f3a", + "api_calls": 0, + "input_tokens": 15223, + "cached_input_tokens": 14720, + "output_tokens": 959, + "total_tokens": 16182, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23387.73, + "sql_execution_elapsed_ms_total": 1.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4dc0bd1da610a119ab835ddeb1e5db205665d524 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11073, "bytes_utf8": 11073, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 643, "bytes_utf8": 643, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15355, "cached_input_tokens": 12032, "output_tokens": 400, "reasoning_output_tokens": 221}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3c08784b0d0e21323dc84232839899040066ac0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_389b739ede748e03", + "api_calls": 0, + "input_tokens": 15355, + "cached_input_tokens": 12032, + "output_tokens": 400, + "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": 11560.95, + "sql_execution_elapsed_ms_total": 1.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9404613028a80610bef71f6cf1c76c626c04ef94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:43.168008+00:00", + "ended_at": "2026-05-19T15:46:54.729054+00:00", + "elapsed_ms": 11560.95, + "prompt_metrics": { + "chars": 11073, + "bytes_utf8": 11073, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1042, + "bytes_utf8": 1042, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 643, + "bytes_utf8": 643, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15355, + "cached_input_tokens": 12032, + "output_tokens": 400, + "reasoning_output_tokens": 221 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9978228d4497db3eda7bb154f7971746612ad307 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=price_range, measure_col=mobile_wt.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "price_range", + "measure_col": "mobile_wt", + "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": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4212d3ea4ab8d7b3d8194133795b78a8ebec587 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-00e2-79d0-b5f2-e12b7eb3dccb"} +{"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 \\\"price_range\\\", SUM(CAST(\\\"mobile_wt\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m10\\\"\\n GROUP BY \\\"price_range\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"price_range\\\", g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the required template with group_col=\\\"price_range\\\" and measure_col=\\\"mobile_wt\\\". Cast \\\"mobile_wt\\\" to REAL because the schema stores numeric values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15355,"cached_input_tokens":12032,"output_tokens":400,"reasoning_output_tokens":221}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1b43d8197d75ba7795533bb1288a4f03b37bf02e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"price_range\", SUM(CAST(\"mobile_wt\" AS REAL)) AS \"group_value\"\n FROM \"m10\"\n GROUP BY \"price_range\"\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT g.\"price_range\", g.\"group_value\"\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Used the required template with group_col=\"price_range\" and measure_col=\"mobile_wt\". Cast \"mobile_wt\" to REAL because the schema stores numeric values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_389b739ede748e03/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..09aebd42e236518a1ae50cf1bd80e434c88acfe3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/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=n_cores. +Result preview: [{"n_cores": "8"}, {"n_cores": "8"}, {"n_cores": "8"}, {"n_cores": "8"}, {"n_cores": "8"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b6f75cc73bfa47f3614ed3036ba20dfb256e1615 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_38a53ef1a4270870 +-- problem_id: v2p_m10_80d9aebf661686d8 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "n_cores", + NTILE(10) OVER (ORDER BY CAST("n_cores" AS REAL) DESC) AS tail_bucket + FROM "m10" +) +SELECT "n_cores" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("n_cores" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..943762f1c9b02a225ff3f6899e94cc3ccd09199c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/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 \"n_cores\",\n NTILE(10) OVER (ORDER BY CAST(\"n_cores\" AS REAL) DESC) AS tail_bucket\n FROM \"m10\"\n)\nSELECT \"n_cores\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"n_cores\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"n_cores\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"n_cores\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"n_cores\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"n_cores\\\" AS REAL) DESC;\", \"columns\": [\"n_cores\"], \"rows\": [{\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}, {\"n_cores\": \"8\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 2.84}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c3ecece95728b50570ecb8fef5931a732b1b2bd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:43:12.498970+00:00", + "ended_at": "2026-05-19T15:43:39.074864+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_38a53ef1a4270870", + "problem_id": "v2p_m10_80d9aebf661686d8", + "dataset_id": "m10", + "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=n_cores.", + "bindings": { + "measure_col": "n_cores", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m10/sql/v2q_m10_38a53ef1a4270870.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_38a53ef1a4270870", + "api_calls": 0, + "input_tokens": 15271, + "cached_input_tokens": 14720, + "output_tokens": 458, + "total_tokens": 15729, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 26569.49, + "sql_execution_elapsed_ms_total": 2.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ae0a2c8870a1939b766507728ea8b6e473df9c3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:39.070729+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": 26569.49, "started_at": "2026-05-19T15:43:12.500254+00:00", "ended_at": "2026-05-19T15:43:39.069767+00:00", "prompt_metrics": {"chars": 10677, "bytes_utf8": 10677, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 528, "bytes_utf8": 528, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15271, "cached_input_tokens": 14720, "output_tokens": 458, "reasoning_output_tokens": 310}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"n_cores\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"n_cores\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"n_cores\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"n_cores\\\" AS REAL) DESC;\",\"notes\":\"Applied the planned Quantile Tail Slice template with measure_col=\\\"n_cores\\\" and num_tiles=10. CAST is used because the schema stores numeric fields as TEXT, and numeric ordering is required for the tail slice.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ddad474bd5a59f45b9541b8b29034bc9e9e1184c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_38a53ef1a4270870", + "api_calls": 0, + "input_tokens": 15271, + "cached_input_tokens": 14720, + "output_tokens": 458, + "total_tokens": 15729, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 26569.49, + "sql_execution_elapsed_ms_total": 2.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..77c846c2801a0e8bdc8af7b40c0c712b9734aa81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/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=wifi, measure_col=mobile_wt. +Result preview: [{"wifi": "0", "percentile_measure": 197.0}, {"wifi": "1", "percentile_measure": 195.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4005dfaea624de7f362ace5212ba0111a00f27db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/generated_sql.sql @@ -0,0 +1,36 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_3a15e805b1dee383 +-- problem_id: v2p_m10_77b84199b493f576 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "wifi", + CAST("mobile_wt" AS REAL) AS "mobile_wt_value", + ROW_NUMBER() OVER ( + PARTITION BY "wifi" + ORDER BY CAST("mobile_wt" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "wifi") AS "cnt" + FROM "m10" + WHERE "wifi" IS NOT NULL + AND "mobile_wt" IS NOT NULL +) +SELECT + "wifi", + "mobile_wt_value" AS "percentile_measure" +FROM "ranked" +WHERE "rn" = CASE + WHEN (0.95 * "cnt") > CAST((0.95 * "cnt") AS INTEGER) THEN CAST((0.95 * "cnt") AS INTEGER) + 1 + ELSE CAST((0.95 * "cnt") AS INTEGER) +END + AND "cnt" >= 5 +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..502b1a1f84ba471d476fa05079e2ca34c3b2a480 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"wifi\",\n CAST(\"mobile_wt\" AS REAL) AS \"mobile_wt_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"wifi\"\n ORDER BY CAST(\"mobile_wt\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"wifi\") AS \"cnt\"\n FROM \"m10\"\n WHERE \"wifi\" IS NOT NULL\n AND \"mobile_wt\" IS NOT NULL\n)\nSELECT\n \"wifi\",\n \"mobile_wt_value\" AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"rn\" = CASE\n WHEN (0.95 * \"cnt\") > CAST((0.95 * \"cnt\") AS INTEGER) THEN CAST((0.95 * \"cnt\") AS INTEGER) + 1\n ELSE CAST((0.95 * \"cnt\") AS INTEGER)\nEND\n AND \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"wifi\\\",\\n CAST(\\\"mobile_wt\\\" AS REAL) AS \\\"mobile_wt_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"wifi\\\"\\n ORDER BY CAST(\\\"mobile_wt\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"wifi\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"wifi\\\" IS NOT NULL\\n AND \\\"mobile_wt\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"wifi\\\",\\n \\\"mobile_wt_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" = CASE\\n WHEN (0.95 * \\\"cnt\\\") > CAST((0.95 * \\\"cnt\\\") AS INTEGER) THEN CAST((0.95 * \\\"cnt\\\") AS INTEGER) + 1\\n ELSE CAST((0.95 * \\\"cnt\\\") AS INTEGER)\\nEND\\n AND \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"wifi\", \"percentile_measure\"], \"rows\": [{\"wifi\": \"0\", \"percentile_measure\": 197.0}, {\"wifi\": \"1\", \"percentile_measure\": 195.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.86}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8fde76f73bffd2b7ca45b3dce1e11b045a825162 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:53:30.842818+00:00", + "ended_at": "2026-05-19T15:54:12.335440+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_3a15e805b1dee383", + "problem_id": "v2p_m10_77b84199b493f576", + "dataset_id": "m10", + "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=wifi, measure_col=mobile_wt.", + "bindings": { + "group_col": "wifi", + "measure_col": "mobile_wt", + "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": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=1/2", + "binding_index=88" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_3a15e805b1dee383.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3a15e805b1dee383", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 2573, + "total_tokens": 17828, + "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": 40481.5, + "sql_execution_elapsed_ms_total": 4.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fcc45caedc4791730ed37dfec9c13f87513d4b14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:53:34.448165+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": 3603.43, "started_at": "2026-05-19T15:53:30.843923+00:00", "ended_at": "2026-05-19T15:53:34.447380+00:00", "prompt_metrics": {"chars": 10684, "bytes_utf8": 10684, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f1-3914-73e1-a4ae-568726eb2447\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:54:12.329213+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": 36878.07, "started_at": "2026-05-19T15:53:35.449952+00:00", "ended_at": "2026-05-19T15:54:12.328071+00:00", "prompt_metrics": {"chars": 10684, "bytes_utf8": 10684, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 925, "bytes_utf8": 925, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15255, "cached_input_tokens": 14720, "output_tokens": 2573, "reasoning_output_tokens": 2283}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"wifi\\\",\\n CAST(\\\"mobile_wt\\\" AS REAL) AS \\\"mobile_wt_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"wifi\\\"\\n ORDER BY CAST(\\\"mobile_wt\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"wifi\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"wifi\\\" IS NOT NULL\\n AND \\\"mobile_wt\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"wifi\\\",\\n \\\"mobile_wt_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" = CASE\\n WHEN (0.95 * \\\"cnt\\\") > CAST((0.95 * \\\"cnt\\\") AS INTEGER) THEN CAST((0.95 * \\\"cnt\\\") AS INTEGER) + 1\\n ELSE CAST((0.95 * \\\"cnt\\\") AS INTEGER)\\nEND\\n AND \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 95th percentile per \\\"wifi\\\" group with a nearest-rank window-function approach and casts \\\"mobile_wt\\\" from TEXT to REAL.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9ed9d3501c3f1cdb3c6a7fb43a9f07440bf51d4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3a15e805b1dee383", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 2573, + "total_tokens": 17828, + "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": 40481.5, + "sql_execution_elapsed_ms_total": 4.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..40148a26085ede9b67c895f82f4b4955e26ebc39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=talk_time, condition_col=n_cores. +Result preview: [{"talk_time": "11", "condition_ratio": 1.8}, {"talk_time": "8", "condition_ratio": 1.7}, {"talk_time": "18", "condition_ratio": 1.5}, {"talk_time": "20", "condition_ratio": 1.4}, {"talk_time": "16", "condition_ratio": 1.3636363636363635}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..367a833c570c3b5bd62657a5704ebd0d2f2a2407 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_3a2e252c2fadc7fe +-- problem_id: v2p_m10_d4a8e7a863b6bd1f +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "talk_time", + SUM(CASE WHEN "n_cores" = '4' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "n_cores" = '7' THEN 1 ELSE 0 END) AS denominator_count + FROM "m10" + GROUP BY "talk_time" +) +SELECT "talk_time", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..05469160bc44e45300161ad3be782977e375ac63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"talk_time\",\n SUM(CASE WHEN \"n_cores\" = '4' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"n_cores\" = '7' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m10\"\n GROUP BY \"talk_time\"\n)\nSELECT \"talk_time\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"talk_time\\\",\\n SUM(CASE WHEN \\\"n_cores\\\" = '4' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"n_cores\\\" = '7' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"talk_time\\\"\\n)\\nSELECT \\\"talk_time\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"talk_time\", \"condition_ratio\"], \"rows\": [{\"talk_time\": \"11\", \"condition_ratio\": 1.8}, {\"talk_time\": \"8\", \"condition_ratio\": 1.7}, {\"talk_time\": \"18\", \"condition_ratio\": 1.5}, {\"talk_time\": \"20\", \"condition_ratio\": 1.4}, {\"talk_time\": \"16\", \"condition_ratio\": 1.3636363636363635}, {\"talk_time\": \"3\", \"condition_ratio\": 1.3636363636363635}, {\"talk_time\": \"9\", \"condition_ratio\": 1.3333333333333333}, {\"talk_time\": \"15\", \"condition_ratio\": 1.25}, {\"talk_time\": \"4\", \"condition_ratio\": 1.1333333333333333}, {\"talk_time\": \"12\", \"condition_ratio\": 1.0625}, {\"talk_time\": \"13\", \"condition_ratio\": 1.0}, {\"talk_time\": \"17\", \"condition_ratio\": 0.8571428571428571}, {\"talk_time\": \"5\", \"condition_ratio\": 0.8461538461538461}, {\"talk_time\": \"2\", \"condition_ratio\": 0.8421052631578947}, {\"talk_time\": \"6\", \"condition_ratio\": 0.8181818181818182}, {\"talk_time\": \"10\", \"condition_ratio\": 0.8}, {\"talk_time\": \"19\", \"condition_ratio\": 0.7142857142857143}, {\"talk_time\": \"14\", \"condition_ratio\": 0.6842105263157895}, {\"talk_time\": \"7\", \"condition_ratio\": 0.6842105263157895}], \"row_count_returned\": 19, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.2}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f04c6c8aa309faf857420102c2a4479a1988159b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:39:48.559664+00:00", + "ended_at": "2026-05-19T15:39:58.811798+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_3a2e252c2fadc7fe", + "problem_id": "v2p_m10_d4a8e7a863b6bd1f", + "dataset_id": "m10", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=talk_time, condition_col=n_cores.", + "bindings": { + "group_col": "talk_time", + "condition_col": "n_cores", + "condition_value": "4", + "positive_value": "4", + "negative_value": "7", + "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": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=40" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_3a2e252c2fadc7fe.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3a2e252c2fadc7fe", + "api_calls": 0, + "input_tokens": 15427, + "cached_input_tokens": 12032, + "output_tokens": 484, + "total_tokens": 15911, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10242.17, + "sql_execution_elapsed_ms_total": 3.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..663403aca3c7b0e995abf6868348a73d6b8e58bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:58.805601+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": 10242.17, "started_at": "2026-05-19T15:39:48.561704+00:00", "ended_at": "2026-05-19T15:39:58.803915+00:00", "prompt_metrics": {"chars": 11316, "bytes_utf8": 11316, "lines": 351, "estimated_tokens": null}, "response_metrics": {"chars": 682, "bytes_utf8": 682, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15427, "cached_input_tokens": 12032, "output_tokens": 484, "reasoning_output_tokens": 291}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"talk_time\\\",\\n SUM(CASE WHEN \\\"n_cores\\\" = '4' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"n_cores\\\" = '7' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"talk_time\\\"\\n)\\nSELECT \\\"talk_time\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applies the grouped ratio template with group_col=\\\"talk_time\\\" and condition_col=\\\"n_cores\\\", computing the ratio of rows where n_cores='4' to rows where n_cores='7' for each talk_time value.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..43a305505a13a08d9d1f090f78c0eeb6aeec6a55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3a2e252c2fadc7fe", + "api_calls": 0, + "input_tokens": 15427, + "cached_input_tokens": 12032, + "output_tokens": 484, + "total_tokens": 15911, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10242.17, + "sql_execution_elapsed_ms_total": 3.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..67be4da352524c0efb96421f2ab9109a820c7640 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11308, "bytes_utf8": 11308, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 15425, "cached_input_tokens": 14720, "output_tokens": 484, "reasoning_output_tokens": 298}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2d3f7a1509b78b2272d87a66bf2c6e446e8ff24e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3a92e044575d305f", + "api_calls": 0, + "input_tokens": 15425, + "cached_input_tokens": 14720, + "output_tokens": 484, + "total_tokens": 15909, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9814.12, + "sql_execution_elapsed_ms_total": 1.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f61f94da3ca1f16d828b09cdca167a447f2027f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:23.297394+00:00", + "ended_at": "2026-05-19T15:39:33.111543+00:00", + "elapsed_ms": 9814.12, + "prompt_metrics": { + "chars": 11308, + "bytes_utf8": 11308, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1009, + "bytes_utf8": 1009, + "lines": 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": 15425, + "cached_input_tokens": 14720, + "output_tokens": 484, + "reasoning_output_tokens": 298 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b853f6b19fcb0f90ba6e0b97b5ad15bb85ae5e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=sc_h, condition_col=dual_sim.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "sc_h", + "condition_col": "dual_sim", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "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": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4b126df8454094771a879381b05ba0c6db1df2be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-4a36-7a12-8473-8c0d4931e3fe"} +{"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 \\\"sc_h\\\",\\n SUM(CASE WHEN \\\"dual_sim\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"dual_sim\\\" = '0' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"sc_h\\\"\\n)\\nSELECT \\\"sc_h\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Computes, for each screen height group (\\\"sc_h\\\"), the ratio of rows with \\\"dual_sim\\\"='1' to rows with \\\"dual_sim\\\"='0', ordered from highest to lowest ratio.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15425,"cached_input_tokens":14720,"output_tokens":484,"reasoning_output_tokens":298}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3b64e9b8c3e120f028b1497fb17f0351434f5a47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"sc_h\",\n SUM(CASE WHEN \"dual_sim\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"dual_sim\" = '0' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m10\"\n GROUP BY \"sc_h\"\n)\nSELECT \"sc_h\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Computes, for each screen height group (\"sc_h\"), the ratio of rows with \"dual_sim\"='1' to rows with \"dual_sim\"='0', ordered from highest to lowest ratio."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a92e044575d305f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3b9b9134e43fd53e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3b9b9134e43fd53e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1372368bce807c0b03201834e489006f1dcf7cc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3b9b9134e43fd53e/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "10", "support": 122, "support_share": 0.061, "cumulative_support": 122}, {"value_label": "7", "support": 119, "support_share": 0.0595, "cumulative_support": 241}, {"value_label": "9", "support": 112, "support_share": 0.056, "cumulative_support": 353}, {"value_label": "20", "support": 110, "support_share": 0.055, "cumulative_support": 463}, {"value_label": "1", "support": 104, "support_share": 0.052, "cumulative_support": 567}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3b9b9134e43fd53e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3b9b9134e43fd53e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6e576c234c8b452fdd1f4fda144728f3ad702ac7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3b9b9134e43fd53e/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_3b9b9134e43fd53e +-- problem_id: v2p_m10_325aba69356a1f09 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "pc" AS value_label, COUNT(*) AS support + FROM "m10" + GROUP BY "pc" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3b9b9134e43fd53e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3b9b9134e43fd53e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cd637070d299be66b01c02a9588ff34ac254861c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3b9b9134e43fd53e/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m10_3b9b9134e43fd53e\n-- problem_id: v2p_m10_325aba69356a1f09\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"pc\" AS value_label, COUNT(*) AS support\n FROM \"m10\"\n GROUP BY \"pc\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m10_3b9b9134e43fd53e\\n-- problem_id: v2p_m10_325aba69356a1f09\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"pc\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m10\\\"\\n GROUP BY \\\"pc\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"10\", \"support\": 122, \"support_share\": 0.061, \"cumulative_support\": 122}, {\"value_label\": \"7\", \"support\": 119, \"support_share\": 0.0595, \"cumulative_support\": 241}, {\"value_label\": \"9\", \"support\": 112, \"support_share\": 0.056, \"cumulative_support\": 353}, {\"value_label\": \"20\", \"support\": 110, \"support_share\": 0.055, \"cumulative_support\": 463}, {\"value_label\": \"1\", \"support\": 104, \"support_share\": 0.052, \"cumulative_support\": 567}, {\"value_label\": \"14\", \"support\": 104, \"support_share\": 0.052, \"cumulative_support\": 671}, {\"value_label\": \"0\", \"support\": 101, \"support_share\": 0.0505, \"cumulative_support\": 772}, {\"value_label\": \"17\", \"support\": 99, \"support_share\": 0.0495, \"cumulative_support\": 871}, {\"value_label\": \"2\", \"support\": 99, \"support_share\": 0.0495, \"cumulative_support\": 970}, {\"value_label\": \"4\", \"support\": 95, \"support_share\": 0.0475, \"cumulative_support\": 1065}, {\"value_label\": \"6\", \"support\": 95, \"support_share\": 0.0475, \"cumulative_support\": 1160}, {\"value_label\": \"3\", \"support\": 93, \"support_share\": 0.0465, \"cumulative_support\": 1253}, {\"value_label\": \"15\", \"support\": 92, \"support_share\": 0.046, \"cumulative_support\": 1345}, {\"value_label\": \"12\", \"support\": 90, \"support_share\": 0.045, \"cumulative_support\": 1435}, {\"value_label\": \"8\", \"support\": 89, \"support_share\": 0.0445, \"cumulative_support\": 1524}, {\"value_label\": \"16\", \"support\": 88, \"support_share\": 0.044, \"cumulative_support\": 1612}, {\"value_label\": \"13\", \"support\": 85, \"support_share\": 0.0425, \"cumulative_support\": 1697}, {\"value_label\": \"19\", \"support\": 83, \"support_share\": 0.0415, \"cumulative_support\": 1780}, {\"value_label\": \"18\", \"support\": 82, \"support_share\": 0.041, \"cumulative_support\": 1862}, {\"value_label\": \"11\", \"support\": 79, \"support_share\": 0.0395, \"cumulative_support\": 1941}, {\"value_label\": \"5\", \"support\": 59, \"support_share\": 0.0295, \"cumulative_support\": 2000}], \"row_count_returned\": 21, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.35}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3b9b9134e43fd53e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3b9b9134e43fd53e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..74cda7e979bc5bac3a163934c3125eeb08e0e492 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3b9b9134e43fd53e/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.599362+00:00", + "ended_at": "2026-05-19T16:08:44.601559+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_3b9b9134e43fd53e", + "problem_id": "v2p_m10_325aba69356a1f09", + "dataset_id": "m10", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=pc.", + "bindings": { + "group_col": "pc" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_3b9b9134e43fd53e.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3b9b9134e43fd53e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3b9b9134e43fd53e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3b9b9134e43fd53e/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bb2f419914a2015/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bb2f419914a2015/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..da07bf9284e98091f623a7bc61a6210ecc964f48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bb2f419914a2015/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "7", "support": 124, "support_share": 0.062, "support_rank": 1}, {"value_label": "4", "support": 123, "support_share": 0.0615, "support_rank": 2}, {"value_label": "16", "support": 116, "support_share": 0.058, "support_rank": 3}, {"value_label": "15", "support": 115, "support_share": 0.0575, "support_rank": 4}, {"value_label": "19", "support": 113, "support_share": 0.0565, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bb2f419914a2015/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bb2f419914a2015/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2bb17fc156b2f598c035a6939ef72a5d0c1f1f03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bb2f419914a2015/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_3bb2f419914a2015 +-- problem_id: v2p_m10_145b039a21721aab +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "talk_time" AS value_label, COUNT(*) AS support + FROM "m10" + GROUP BY "talk_time" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bb2f419914a2015/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bb2f419914a2015/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..89209eba6aae1a118c07574078a32aff104a8da9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bb2f419914a2015/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m10_3bb2f419914a2015\n-- problem_id: v2p_m10_145b039a21721aab\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"talk_time\" AS value_label, COUNT(*) AS support\n FROM \"m10\"\n GROUP BY \"talk_time\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m10_3bb2f419914a2015\\n-- problem_id: v2p_m10_145b039a21721aab\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"talk_time\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m10\\\"\\n GROUP BY \\\"talk_time\\\"\\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\": \"7\", \"support\": 124, \"support_share\": 0.062, \"support_rank\": 1}, {\"value_label\": \"4\", \"support\": 123, \"support_share\": 0.0615, \"support_rank\": 2}, {\"value_label\": \"16\", \"support\": 116, \"support_share\": 0.058, \"support_rank\": 3}, {\"value_label\": \"15\", \"support\": 115, \"support_share\": 0.0575, \"support_rank\": 4}, {\"value_label\": \"19\", \"support\": 113, \"support_share\": 0.0565, \"support_rank\": 5}, {\"value_label\": \"6\", \"support\": 111, \"support_share\": 0.0555, \"support_rank\": 6}, {\"value_label\": \"10\", \"support\": 105, \"support_share\": 0.0525, \"support_rank\": 7}, {\"value_label\": \"8\", \"support\": 104, \"support_share\": 0.052, \"support_rank\": 8}, {\"value_label\": \"11\", \"support\": 103, \"support_share\": 0.0515, \"support_rank\": 9}, {\"value_label\": \"20\", \"support\": 102, \"support_share\": 0.051, \"support_rank\": 10}, {\"value_label\": \"14\", \"support\": 101, \"support_share\": 0.0505, \"support_rank\": 11}, {\"value_label\": \"13\", \"support\": 100, \"support_share\": 0.05, \"support_rank\": 12}, {\"value_label\": \"18\", \"support\": 100, \"support_share\": 0.05, \"support_rank\": 13}, {\"value_label\": \"9\", \"support\": 100, \"support_share\": 0.05, \"support_rank\": 14}, {\"value_label\": \"12\", \"support\": 99, \"support_share\": 0.0495, \"support_rank\": 15}, {\"value_label\": \"2\", \"support\": 99, \"support_share\": 0.0495, \"support_rank\": 16}, {\"value_label\": \"17\", \"support\": 98, \"support_share\": 0.049, \"support_rank\": 17}, {\"value_label\": \"3\", \"support\": 94, \"support_share\": 0.047, \"support_rank\": 18}, {\"value_label\": \"5\", \"support\": 93, \"support_share\": 0.0465, \"support_rank\": 19}], \"row_count_returned\": 19, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.03}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bb2f419914a2015/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bb2f419914a2015/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..04eada86c0e1f64dac9e6c2a4bf90f833b710b79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bb2f419914a2015/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.631381+00:00", + "ended_at": "2026-05-19T16:08:44.633109+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_3bb2f419914a2015", + "problem_id": "v2p_m10_145b039a21721aab", + "dataset_id": "m10", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=talk_time.", + "bindings": { + "group_col": "talk_time" + }, + "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=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_3bb2f419914a2015.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bb2f419914a2015/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bb2f419914a2015/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bb2f419914a2015/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..46a87058951cd6222281e81ec0280f72a87fbe53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/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=fc, measure_col=ram. +Result preview: [{"fc": "15", "percentile_measure": 3893.7999999999997}, {"fc": "4", "percentile_measure": 3857.6}, {"fc": "2", "percentile_measure": 3849.4}, {"fc": "8", "percentile_measure": 3848.8}, {"fc": "0", "percentile_measure": 3838.4999999999995}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..36ffdb3f792df95c467f4a574a3978c4141e3413 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/generated_sql.sql @@ -0,0 +1,55 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_3bbc1fea0232e27f +-- problem_id: v2p_m10_b1531f707f49b634 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "fc", + CAST("ram" AS REAL) AS "ram_value", + ROW_NUMBER() OVER ( + PARTITION BY "fc" + ORDER BY CAST("ram" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "fc") AS "cnt" + FROM "m10" + WHERE "fc" IS NOT NULL + AND "ram" IS NOT NULL +), +"percentile_bounds" AS ( + SELECT DISTINCT + "fc", + (1.0 + 0.95 * ("cnt" - 1)) AS "rank_value", + CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) AS "lower_rn", + CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER) + (((1.0 + 0.95 * ("cnt" - 1)) > CAST(1.0 + 0.95 * ("cnt" - 1) AS INTEGER))) AS "upper_rn" + FROM "ordered" +), +"picked" AS ( + SELECT + o."fc", + pb."rank_value", + pb."lower_rn", + pb."upper_rn", + MAX(CASE WHEN o."rn" = pb."lower_rn" THEN o."ram_value" END) AS "lower_value", + MAX(CASE WHEN o."rn" = pb."upper_rn" THEN o."ram_value" END) AS "upper_value" + FROM "ordered" AS o + JOIN "percentile_bounds" AS pb + ON o."fc" = pb."fc" + GROUP BY o."fc", pb."rank_value", pb."lower_rn", pb."upper_rn" +) +SELECT + "fc", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + (("rank_value" - "lower_rn") * ("upper_value" - "lower_value")) + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bfe33c7624b568f1da54349cf1a6f73f383739f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/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 \"fc\",\n CAST(\"ram\" AS REAL) AS \"ram_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"fc\"\n ORDER BY CAST(\"ram\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"fc\") AS \"cnt\"\n FROM \"m10\"\n WHERE \"fc\" IS NOT NULL\n AND \"ram\" IS NOT NULL\n),\n\"percentile_bounds\" AS (\n SELECT DISTINCT\n \"fc\",\n (1.0 + 0.95 * (\"cnt\" - 1)) AS \"rank_value\",\n CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER) AS \"lower_rn\",\n CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER) + (((1.0 + 0.95 * (\"cnt\" - 1)) > CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER))) AS \"upper_rn\"\n FROM \"ordered\"\n),\n\"picked\" AS (\n SELECT\n o.\"fc\",\n pb.\"rank_value\",\n pb.\"lower_rn\",\n pb.\"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = pb.\"lower_rn\" THEN o.\"ram_value\" END) AS \"lower_value\",\n MAX(CASE WHEN o.\"rn\" = pb.\"upper_rn\" THEN o.\"ram_value\" END) AS \"upper_value\"\n FROM \"ordered\" AS o\n JOIN \"percentile_bounds\" AS pb\n ON o.\"fc\" = pb.\"fc\"\n GROUP BY o.\"fc\", pb.\"rank_value\", pb.\"lower_rn\", pb.\"upper_rn\"\n)\nSELECT\n \"fc\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + ((\"rank_value\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\"))\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 \\\"fc\\\",\\n CAST(\\\"ram\\\" AS REAL) AS \\\"ram_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"fc\\\"\\n ORDER BY CAST(\\\"ram\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"fc\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"fc\\\" IS NOT NULL\\n AND \\\"ram\\\" IS NOT NULL\\n),\\n\\\"percentile_bounds\\\" AS (\\n SELECT DISTINCT\\n \\\"fc\\\",\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"rank_value\\\",\\n CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) + (((1.0 + 0.95 * (\\\"cnt\\\" - 1)) > CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER))) AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n o.\\\"fc\\\",\\n pb.\\\"rank_value\\\",\\n pb.\\\"lower_rn\\\",\\n pb.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = pb.\\\"lower_rn\\\" THEN o.\\\"ram_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = pb.\\\"upper_rn\\\" THEN o.\\\"ram_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"ordered\\\" AS o\\n JOIN \\\"percentile_bounds\\\" AS pb\\n ON o.\\\"fc\\\" = pb.\\\"fc\\\"\\n GROUP BY o.\\\"fc\\\", pb.\\\"rank_value\\\", pb.\\\"lower_rn\\\", pb.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"fc\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + ((\\\"rank_value\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"fc\", \"percentile_measure\"], \"rows\": [{\"fc\": \"15\", \"percentile_measure\": 3893.7999999999997}, {\"fc\": \"4\", \"percentile_measure\": 3857.6}, {\"fc\": \"2\", \"percentile_measure\": 3849.4}, {\"fc\": \"8\", \"percentile_measure\": 3848.8}, {\"fc\": \"0\", \"percentile_measure\": 3838.4999999999995}, {\"fc\": \"5\", \"percentile_measure\": 3825.1}, {\"fc\": \"1\", \"percentile_measure\": 3812.7999999999997}, {\"fc\": \"9\", \"percentile_measure\": 3809.3499999999995}, {\"fc\": \"14\", \"percentile_measure\": 3772.5}, {\"fc\": \"3\", \"percentile_measure\": 3771.3999999999996}, {\"fc\": \"7\", \"percentile_measure\": 3768.45}, {\"fc\": \"13\", \"percentile_measure\": 3721.6}, {\"fc\": \"10\", \"percentile_measure\": 3696.7}, {\"fc\": \"6\", \"percentile_measure\": 3669.549999999999}, {\"fc\": \"17\", \"percentile_measure\": 3620.25}, {\"fc\": \"11\", \"percentile_measure\": 3607.0}, {\"fc\": \"12\", \"percentile_measure\": 3599.7999999999997}, {\"fc\": \"18\", \"percentile_measure\": 3502.0}, {\"fc\": \"16\", \"percentile_measure\": 3360.7999999999997}, {\"fc\": \"19\", \"percentile_measure\": 879.0}], \"row_count_returned\": 20, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 7.72}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9143034bcfc308ef6519cdcf754961e7a95ee9e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:58:58.846905+00:00", + "ended_at": "2026-05-19T15:59:18.615202+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_3bbc1fea0232e27f", + "problem_id": "v2p_m10_b1531f707f49b634", + "dataset_id": "m10", + "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=fc, measure_col=ram.", + "bindings": { + "group_col": "fc", + "measure_col": "ram", + "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": 2682.04, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=93" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_3bbc1fea0232e27f.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3bbc1fea0232e27f", + "api_calls": 0, + "input_tokens": 15252, + "cached_input_tokens": 14720, + "output_tokens": 1104, + "total_tokens": 16356, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19756.08, + "sql_execution_elapsed_ms_total": 7.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3e66d4007531d13dc82bd97b28af1f6b2f669d3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:18.605789+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": 19756.08, "started_at": "2026-05-19T15:58:58.848824+00:00", "ended_at": "2026-05-19T15:59:18.604942+00:00", "prompt_metrics": {"chars": 10672, "bytes_utf8": 10672, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 1777, "bytes_utf8": 1777, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15252, "cached_input_tokens": 14720, "output_tokens": 1104, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"fc\\\",\\n CAST(\\\"ram\\\" AS REAL) AS \\\"ram_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"fc\\\"\\n ORDER BY CAST(\\\"ram\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"fc\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"fc\\\" IS NOT NULL\\n AND \\\"ram\\\" IS NOT NULL\\n),\\n\\\"percentile_bounds\\\" AS (\\n SELECT DISTINCT\\n \\\"fc\\\",\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"rank_value\\\",\\n CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) + (((1.0 + 0.95 * (\\\"cnt\\\" - 1)) > CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER))) AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n o.\\\"fc\\\",\\n pb.\\\"rank_value\\\",\\n pb.\\\"lower_rn\\\",\\n pb.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = pb.\\\"lower_rn\\\" THEN o.\\\"ram_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = pb.\\\"upper_rn\\\" THEN o.\\\"ram_value\\\" E"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f99a827178bb0d0fd2c717ac8dea11ebe12c20c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3bbc1fea0232e27f", + "api_calls": 0, + "input_tokens": 15252, + "cached_input_tokens": 14720, + "output_tokens": 1104, + "total_tokens": 16356, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19756.08, + "sql_execution_elapsed_ms_total": 7.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ac71f020d31061615510ea1ecc594fe0b78a3e27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:54.862770+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": 14984.2, "started_at": "2026-05-19T15:30:39.877716+00:00", "ended_at": "2026-05-19T15:30:54.861946+00:00", "prompt_metrics": {"chars": 10496, "bytes_utf8": 10496, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 342, "bytes_utf8": 342, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15216, "cached_input_tokens": 12032, "output_tokens": 391, "reasoning_output_tokens": 294}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"n_cores\\\", SUM(CAST(\\\"pc\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"n_cores\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped numeric sum template with \\\"n_cores\\\" as the grouping column and cast \\\"pc\\\" from TEXT to NUMERIC for SQLite-compatible summation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..044d566a6d93aa70e636a56e718c41682827e330 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/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=wifi. +Result preview: [{"wifi": "1", "row_count": 1014}, {"wifi": "0", "row_count": 986}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3d0b6e91dd52dd4f96f7e767a45dd555b46e9ff1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_3cc6e824bb9b7591 +-- problem_id: v2p_m10_f699e8adc1cc5d99 +-- realization_mode: agent +-- source_kind: agent +SELECT "wifi", COUNT(*) AS "row_count" +FROM "m10" +GROUP BY "wifi" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..50f75ceff7d81ba35a281730a6f97324ef0a1317 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/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 \"wifi\", COUNT(*) AS \"row_count\"\nFROM \"m10\"\nGROUP BY \"wifi\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"wifi\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"wifi\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"wifi\", \"row_count\"], \"rows\": [{\"wifi\": \"1\", \"row_count\": 1014}, {\"wifi\": \"0\", \"row_count\": 986}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.02}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1f9fa24d4cfed82149ab0303f7a2e08f3b455f7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:32:07.435614+00:00", + "ended_at": "2026-05-19T15:32:31.983398+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_3cc6e824bb9b7591", + "problem_id": "v2p_m10_f699e8adc1cc5d99", + "dataset_id": "m10", + "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=wifi.", + "bindings": { + "group_col": "wifi", + "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": 2.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=13" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_3cc6e824bb9b7591.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3cc6e824bb9b7591", + "api_calls": 0, + "input_tokens": 15188, + "cached_input_tokens": 12032, + "output_tokens": 302, + "total_tokens": 15490, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 24540.23, + "sql_execution_elapsed_ms_total": 2.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..88aabd8a83709d53140bad450d592bf5582d4277 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:31.978826+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": 24540.23, "started_at": "2026-05-19T15:32:07.436844+00:00", "ended_at": "2026-05-19T15:32:31.977112+00:00", "prompt_metrics": {"chars": 10411, "bytes_utf8": 10411, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 307, "bytes_utf8": 307, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15188, "cached_input_tokens": 12032, "output_tokens": 302, "reasoning_output_tokens": 221}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"wifi\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"wifi\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned Grouped Count by Category template with group_col bound to \\\"wifi\\\" to inspect count distribution across wifi subgroups.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..308d970774c5e441b5c52a3f8ba001624d4637d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3cc6e824bb9b7591", + "api_calls": 0, + "input_tokens": 15188, + "cached_input_tokens": 12032, + "output_tokens": 302, + "total_tokens": 15490, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 24540.23, + "sql_execution_elapsed_ms_total": 2.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b24fe91dc09de0e4bf220ac48a237d0ec6fc2836 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/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=n_cores. +Result preview: [{"n_cores": "6", "support": 230}, {"n_cores": "1", "support": 242}, {"n_cores": "3", "support": 246}, {"n_cores": "5", "support": 246}, {"n_cores": "2", "support": 247}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..433f7d441b460537a048511b1310bf119187a303 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_3dc76210a2ffb9bc +-- problem_id: v2p_m10_9960de336c2100d5 +-- realization_mode: agent +-- source_kind: agent +SELECT + "n_cores", + COUNT(*) AS "support" +FROM "m10" +GROUP BY "n_cores" +ORDER BY "support" ASC, "n_cores" +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8eb0d69d951fc48adf3fc78711a731a5d00798fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/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 \"n_cores\",\n COUNT(*) AS \"support\"\nFROM \"m10\"\nGROUP BY \"n_cores\"\nORDER BY \"support\" ASC, \"n_cores\"\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"n_cores\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"n_cores\\\"\\nORDER BY \\\"support\\\" ASC, \\\"n_cores\\\"\\nLIMIT 16;\", \"columns\": [\"n_cores\", \"support\"], \"rows\": [{\"n_cores\": \"6\", \"support\": 230}, {\"n_cores\": \"1\", \"support\": 242}, {\"n_cores\": \"3\", \"support\": 246}, {\"n_cores\": \"5\", \"support\": 246}, {\"n_cores\": \"2\", \"support\": 247}, {\"n_cores\": \"8\", \"support\": 256}, {\"n_cores\": \"7\", \"support\": 259}, {\"n_cores\": \"4\", \"support\": 274}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.85}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dfcc3674a56934b4966330d78d7cb3064f887ef5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:05:34.593674+00:00", + "ended_at": "2026-05-19T16:05:51.250097+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_3dc76210a2ffb9bc", + "problem_id": "v2p_m10_9960de336c2100d5", + "dataset_id": "m10", + "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=n_cores.", + "bindings": { + "group_col": "n_cores", + "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": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=126" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_3dc76210a2ffb9bc.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3dc76210a2ffb9bc", + "api_calls": 0, + "input_tokens": 15228, + "cached_input_tokens": 12032, + "output_tokens": 383, + "total_tokens": 15611, + "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": 15646.15, + "sql_execution_elapsed_ms_total": 1.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..915d6f313535d66e5709affba9733ff637b68882 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:38.708538+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": 4112.28, "started_at": "2026-05-19T16:05:34.594892+00:00", "ended_at": "2026-05-19T16:05:38.707199+00:00", "prompt_metrics": {"chars": 10502, "bytes_utf8": 10502, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-4416-7b02-a7fe-53735f11632b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:51.245830+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": 11533.87, "started_at": "2026-05-19T16:05:39.710650+00:00", "ended_at": "2026-05-19T16:05:51.244567+00:00", "prompt_metrics": {"chars": 10502, "bytes_utf8": 10502, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 358, "bytes_utf8": 358, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15228, "cached_input_tokens": 12032, "output_tokens": 383, "reasoning_output_tokens": 278}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"n_cores\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"n_cores\\\"\\nORDER BY \\\"support\\\" ASC, \\\"n_cores\\\"\\nLIMIT 16;\",\"notes\":\"Counts rows for each \\\"n_cores\\\" value and returns the 16 groups with the lowest support, following the planned Low-Support Group Count template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..94f5be48259ed18942ef8505722d004a8fff636f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3dc76210a2ffb9bc", + "api_calls": 0, + "input_tokens": 15228, + "cached_input_tokens": 12032, + "output_tokens": 383, + "total_tokens": 15611, + "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": 15646.15, + "sql_execution_elapsed_ms_total": 1.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..97dc9e9ebeb0028ef9330e035b523b4d2ee51a90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/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=fc, measure_col=n_cores. +Result preview: [{"fc": "19", "px_width": "742", "total_measure": 4.0, "share_within_group": 100.0}, {"fc": "17", "px_width": "1711", "total_measure": 5.0, "share_within_group": 27.77777777777778}, {"fc": "17", "px_width": "1942", "total_measure": 4.0, "share_within_group": 22.22222222222222}, {"fc": "17", "px_width": "1200", "total_measure": 3.0, "share_within_group": 16.666666666666668}, {"fc": "17", "px_width": "1771", "total_measure": 3.0, "share_within_group": 16.666666666666668}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6332664cc3dcaddf72155eb250caf4a970b3ef43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_3e06d77fefa69205 +-- problem_id: v2p_m10_c6e30f40993be2b8 +-- realization_mode: agent +-- source_kind: agent +SELECT "fc", "px_width", + SUM(CAST("n_cores" AS REAL)) AS "total_measure", + SUM(CAST("n_cores" AS REAL)) * 100.0 / SUM(SUM(CAST("n_cores" AS REAL))) OVER (PARTITION BY "fc") AS "share_within_group" +FROM "m10" +GROUP BY "fc", "px_width" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d180208fe5f03e7d2b34f3250995e44b4556c2f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/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 \"fc\", \"px_width\",\n SUM(CAST(\"n_cores\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"n_cores\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"n_cores\" AS REAL))) OVER (PARTITION BY \"fc\") AS \"share_within_group\"\nFROM \"m10\"\nGROUP BY \"fc\", \"px_width\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"fc\\\", \\\"px_width\\\",\\n SUM(CAST(\\\"n_cores\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"n_cores\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"n_cores\\\" AS REAL))) OVER (PARTITION BY \\\"fc\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\", \\\"px_width\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"fc\", \"px_width\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"fc\": \"19\", \"px_width\": \"742\", \"total_measure\": 4.0, \"share_within_group\": 100.0}, {\"fc\": \"17\", \"px_width\": \"1711\", \"total_measure\": 5.0, \"share_within_group\": 27.77777777777778}, {\"fc\": \"17\", \"px_width\": \"1942\", \"total_measure\": 4.0, \"share_within_group\": 22.22222222222222}, {\"fc\": \"17\", \"px_width\": \"1200\", \"total_measure\": 3.0, \"share_within_group\": 16.666666666666668}, {\"fc\": \"17\", \"px_width\": \"1771\", \"total_measure\": 3.0, \"share_within_group\": 16.666666666666668}, {\"fc\": \"18\", \"px_width\": \"1726\", \"total_measure\": 7.0, \"share_within_group\": 16.27906976744186}, {\"fc\": \"18\", \"px_width\": \"844\", \"total_measure\": 7.0, \"share_within_group\": 16.27906976744186}, {\"fc\": \"18\", \"px_width\": \"1144\", \"total_measure\": 5.0, \"share_within_group\": 11.627906976744185}, {\"fc\": \"18\", \"px_width\": \"896\", \"total_measure\": 5.0, \"share_within_group\": 11.627906976744185}, {\"fc\": \"17\", \"px_width\": \"1405\", \"total_measure\": 2.0, \"share_within_group\": 11.11111111111111}, {\"fc\": \"15\", \"px_width\": \"1882\", \"total_measure\": 8.0, \"share_within_group\": 9.523809523809524}, {\"fc\": \"15\", \"px_width\": \"653\", \"total_measure\": 8.0, \"share_within_group\": 9.523809523809524}, {\"fc\": \"18\", \"px_width\": \"1039\", \"total_measure\": 4.0, \"share_within_group\": 9.30232558139535}, {\"fc\": \"18\", \"px_width\": \"1393\", \"total_measure\": 4.0, \"share_within_group\": 9.30232558139535}, {\"fc\": \"14\", \"px_width\": \"1330\", \"total_measure\": 8.0, \"share_within_group\": 8.333333333333334}, {\"fc\": \"14\", \"px_width\": \"1903\", \"total_measure\": 8.0, \"share_within_group\": 8.333333333333334}, {\"fc\": \"14\", \"px_width\": \"1389\", \"total_measure\": 7.0, \"share_within_group\": 7.291666666666667}, {\"fc\": \"14\", \"px_width\": \"1429\", \"total_measure\": 7.0, \"share_within_group\": 7.291666666666667}, {\"fc\": \"14\", \"px_width\": \"1742\", \"total_measure\": 7.0, \"share_within_group\": 7.291666666666667}, {\"fc\": \"15\", \"px_width\": \"1030\", \"total_measure\": 6.0, \"share_within_group\": 7.142857142857143}, {\"fc\": \"15\", \"px_width\": \"1073\", \"total_measure\": 6.0, \"share_within_group\": 7.142857142857143}, {\"fc\": \"18\", \"px_width\": \"1179\", \"total_measure\": 3.0, \"share_within_group\": 6.976744186046512}, {\"fc\": \"18\", \"px_width\": \"1942\", \"total_measure\": 3.0, \"share_within_group\": 6.976744186046512}, {\"fc\": \"16\", \"px_width\": \"1036\", \"total_measure\": 8.0, \"share_within_group\": 6.722689075630252}, {\"fc\": \"16\", \"px_width\": \"1249\", \"total_measure\": 8.0, \"share_within_group\": 6.722689075630252}, {\"fc\": \"16\", \"px_width\": \"1300\", \"total_measure\": 8.0, \"share_within_group\": 6.722689075630252}, {\"fc\": \"16\", \"px_width\": \"1905\", \"total_measure\": 8.0, \"share_within_group\": 6.722689075630252}, {\"fc\": \"16\", \"px_width\": \"654\", \"total_measure\": 8.0, \"share_within_group\": 6.722689075630252}, {\"fc\": \"14\", \"px_width\": \"1636\", \"total_measure\": 6.0, \"share_within_group\": 6.25}, {\"fc\": \"14\", \"px_width\": \"1931\", \"total_measure\": 6.0, \"share_within_group\": 6.25}, {\"fc\": \"14\", \"px_width\": \"510\", \"total_measure\": 6.0, \"share_within_group\": 6.25}, {\"fc\": \"14\", \"px_width\": \"676\", \"total_measure\": 6.0, \"share_within_group\": 6.25}, {\"fc\": \"15\", \"px_width\": \"1018\", \"total_measure\": 5.0, \"share_within_group\": 5.9523809523809526}, {\"fc\": \"15\", \"px_width\": \"1352\", \"total_measure\": 5.0, \"share_within_group\": 5.9523809523809526}, {\"fc\": \"15\", \"px_width\": \"772\", \"total_measure\": 5.0, \"share_within_group\": 5.9523809523809526}, {\"fc\": \"16\", \"px_width\": \"1118\", \"total_measure\": 7.0, \"share_within_group\": 5.882352941176471}, {\"fc\": \"16\", \"px_width\": \"1705\", \"total_measure\": 7.0, \"share_within_group\": 5.882352941176471}, {\"fc\": \"17\", \"px_width\": \"1767\", \"total_measure\": 1.0, \"share_within_group\": 5.555555555555555}, {\"fc\": \"14\", \"px_width\": \"1020\", \"total_measure\": 5.0, \"share_within_group\": 5.208333333333333}, {\"fc\": \"14\", \"px_width\": \"1262\", \"total_measure\": 5.0, \"share_within_group\": 5.208333333333333}, {\"fc\": \"14\", \"px_width\": \"1654\", \"total_measure\": 5.0, \"share_within_group\": 5.208333333333333}, {\"fc\": \"14\", \"px_width\": \"980\", \"total_measure\": 5.0, \"share_within_group\": 5.208333333333333}, {\"fc\": \"16\", \"px_width\": \"1000\", \"total_measure\": 6.0, \"share_within_group\": 5.042016806722689}, {\"fc\": \"16\", \"px_width\": \"1171\", \"total_measure\": 6.0, \"share_within_group\": 5.042016806722689}, {\"fc\": \"16\", \"px_width\": \"1472\", \"total_measure\": 6.0, \"share_within_group\": 5.042016806722689}, {\"fc\": \"16\", \"px_width\": \"512\", \"total_measure\": 6.0, \"share_within_group\": 5.042016806722689}, {\"fc\": \"16\", \"px_width\": \"730\", \"total_measure\": 6.0, \"share_within_group\": 5.042016806722689}, {\"fc\": \"16\", \"px_width\": \"826\", \"total_measure\": 6.0, \"share_within_group\": 5.042016806722689}, {\"fc\": \"16\", \"px_width\": \"873\", \"total_measure\": 6.0, \"share_within_group\": 5.042016806722689}, {\"fc\": \"15\", \"px_width\": \"1230\", \"total_measure\": 4.0, \"share_within_group\": 4.761904761904762}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 11.37}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f34047ed8743aef96d4b5c2967dec4ea582fe7ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:38:24.238126+00:00", + "ended_at": "2026-05-19T15:38:35.377185+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_3e06d77fefa69205", + "problem_id": "v2p_m10_c6e30f40993be2b8", + "dataset_id": "m10", + "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=fc, measure_col=n_cores.", + "bindings": { + "group_col": "fc", + "measure_col": "n_cores", + "item_col": "px_width", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=33" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_3e06d77fefa69205.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3e06d77fefa69205", + "api_calls": 0, + "input_tokens": 15335, + "cached_input_tokens": 12032, + "output_tokens": 500, + "total_tokens": 15835, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11122.05, + "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_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..135ef045078d290e0b2eb7a932a5b814a3074ede --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:35.362889+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": 11122.05, "started_at": "2026-05-19T15:38:24.239629+00:00", "ended_at": "2026-05-19T15:38:35.361705+00:00", "prompt_metrics": {"chars": 10907, "bytes_utf8": 10907, "lines": 350, "estimated_tokens": null}, "response_metrics": {"chars": 562, "bytes_utf8": 562, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15335, "cached_input_tokens": 12032, "output_tokens": 500, "reasoning_output_tokens": 332}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"fc\\\", \\\"px_width\\\",\\n SUM(CAST(\\\"n_cores\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"n_cores\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"n_cores\\\" AS REAL))) OVER (PARTITION BY \\\"fc\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\", \\\"px_width\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"fc\\\", item_col=\\\"px_width\\\", and measure_col=\\\"n_cores\\\". Casted the measure from TEXT to REAL for SQLite aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..82fe8d5c4291f51acfb7f380fc2fc0e71a783761 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3e06d77fefa69205", + "api_calls": 0, + "input_tokens": 15335, + "cached_input_tokens": 12032, + "output_tokens": 500, + "total_tokens": 15835, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11122.05, + "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_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..90b6d2c05dc67b91f45bd8d17dee450935542783 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/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=clock_speed, measure_col=sc_h. +Result preview: [{"clock_speed": "1.4", "avg_measure": 13.32857142857143}, {"clock_speed": "2.0", "avg_measure": 13.223880597014926}, {"clock_speed": "1.0", "avg_measure": 13.081967213114755}, {"clock_speed": "2.6", "avg_measure": 12.836363636363636}, {"clock_speed": "1.8", "avg_measure": 12.790322580645162}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..96a7d4baae0aff064d222e9aec9016a7efe1de91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_3e9f8cc2002dc7f1 +-- problem_id: v2p_m10_c0d67e9680969ff2 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "clock_speed", + AVG(CAST("sc_h" AS REAL)) OVER (PARTITION BY "clock_speed") AS avg_measure +FROM "m10" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4d6ebf0fb2c6d2c0d62b3c488ad7169938a9a176 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/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 \"clock_speed\",\n AVG(CAST(\"sc_h\" AS REAL)) OVER (PARTITION BY \"clock_speed\") AS avg_measure\nFROM \"m10\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"clock_speed\\\",\\n AVG(CAST(\\\"sc_h\\\" AS REAL)) OVER (PARTITION BY \\\"clock_speed\\\") AS avg_measure\\nFROM \\\"m10\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"clock_speed\", \"avg_measure\"], \"rows\": [{\"clock_speed\": \"1.4\", \"avg_measure\": 13.32857142857143}, {\"clock_speed\": \"2.0\", \"avg_measure\": 13.223880597014926}, {\"clock_speed\": \"1.0\", \"avg_measure\": 13.081967213114755}, {\"clock_speed\": \"2.6\", \"avg_measure\": 12.836363636363636}, {\"clock_speed\": \"1.8\", \"avg_measure\": 12.790322580645162}, {\"clock_speed\": \"1.9\", \"avg_measure\": 12.676923076923076}, {\"clock_speed\": \"2.4\", \"avg_measure\": 12.620689655172415}, {\"clock_speed\": \"2.2\", \"avg_measure\": 12.610169491525424}, {\"clock_speed\": \"0.9\", \"avg_measure\": 12.586206896551724}, {\"clock_speed\": \"0.7\", \"avg_measure\": 12.5625}, {\"clock_speed\": \"0.5\", \"avg_measure\": 12.508474576271187}, {\"clock_speed\": \"2.3\", \"avg_measure\": 12.448717948717949}, {\"clock_speed\": \"1.1\", \"avg_measure\": 12.431372549019608}, {\"clock_speed\": \"2.1\", \"avg_measure\": 12.236842105263158}, {\"clock_speed\": \"2.8\", \"avg_measure\": 12.105882352941176}, {\"clock_speed\": \"0.6\", \"avg_measure\": 12.067567567567568}, {\"clock_speed\": \"0.8\", \"avg_measure\": 12.051724137931034}, {\"clock_speed\": \"1.2\", \"avg_measure\": 11.964285714285714}, {\"clock_speed\": \"1.6\", \"avg_measure\": 11.894736842105264}, {\"clock_speed\": \"2.7\", \"avg_measure\": 11.89090909090909}, {\"clock_speed\": \"2.5\", \"avg_measure\": 11.68918918918919}, {\"clock_speed\": \"2.9\", \"avg_measure\": 11.596774193548388}, {\"clock_speed\": \"1.3\", \"avg_measure\": 11.544117647058824}, {\"clock_speed\": \"1.5\", \"avg_measure\": 11.373134328358208}, {\"clock_speed\": \"3.0\", \"avg_measure\": 11.25}, {\"clock_speed\": \"1.7\", \"avg_measure\": 11.116666666666667}], \"row_count_returned\": 26, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.85}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e27e71d809a6b347dd14416fe8e6f9dd558a1d3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:07:19.579059+00:00", + "ended_at": "2026-05-19T16:07:31.663086+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_3e9f8cc2002dc7f1", + "problem_id": "v2p_m10_c0d67e9680969ff2", + "dataset_id": "m10", + "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=clock_speed, measure_col=sc_h.", + "bindings": { + "group_col": "clock_speed", + "measure_col": "sc_h", + "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": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=136" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_3e9f8cc2002dc7f1.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3e9f8cc2002dc7f1", + "api_calls": 0, + "input_tokens": 15227, + "cached_input_tokens": 12032, + "output_tokens": 289, + "total_tokens": 15516, + "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": 11073.78, + "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_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8735b0c48fdc6b239fe6a351dabd9a76b4cb41fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:22.746691+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": 3165.55, "started_at": "2026-05-19T16:07:19.580321+00:00", "ended_at": "2026-05-19T16:07:22.745899+00:00", "prompt_metrics": {"chars": 10593, "bytes_utf8": 10593, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-de0a-7393-8f96-67e4690df3f7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:31.657364+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": 7908.23, "started_at": "2026-05-19T16:07:23.748305+00:00", "ended_at": "2026-05-19T16:07:31.656580+00:00", "prompt_metrics": {"chars": 10593, "bytes_utf8": 10593, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 400, "bytes_utf8": 400, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15227, "cached_input_tokens": 12032, "output_tokens": 289, "reasoning_output_tokens": 183}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"clock_speed\\\",\\n AVG(CAST(\\\"sc_h\\\" AS REAL)) OVER (PARTITION BY \\\"clock_speed\\\") AS avg_measure\\nFROM \\\"m10\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the planned Window Partition Average template with group_col=\\\"clock_speed\\\" and measure_col=\\\"sc_h\\\". Cast \\\"sc_h\\\" from TEXT to REAL for numeric averaging in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1970b4d94f7ff01d2a32ea3066fff11c3f91e62d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3e9f8cc2002dc7f1", + "api_calls": 0, + "input_tokens": 15227, + "cached_input_tokens": 12032, + "output_tokens": 289, + "total_tokens": 15516, + "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": 11073.78, + "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_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3354f0b57b800a78e676c48a7ecdba14922bc3a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:00:59.069732+00:00", + "ended_at": "2026-05-19T16:01:06.668867+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_421f90820dd90f7c", + "problem_id": "v2p_m10_32cde14236053960", + "dataset_id": "m10", + "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=three_g, condition_col=dual_sim.", + "bindings": { + "group_col": "three_g", + "condition_col": "dual_sim", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "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": 0.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3c32424631e88f84ae18c4364eb746af3e3df475 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:01:02.340582+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3268.0, "started_at": "2026-05-19T16:00:59.071499+00:00", "ended_at": "2026-05-19T16:01:02.339533+00:00", "prompt_metrics": {"chars": 10743, "bytes_utf8": 10743, "lines": 351, "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\":\"019e40f8-0fdb-7c70-b855-277fe10c9088\"}\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": "2026-05-19T16:01:06.668728+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": 3325.34, "started_at": "2026-05-19T16:01:03.342393+00:00", "ended_at": "2026-05-19T16:01:06.667779+00:00", "prompt_metrics": {"chars": 10743, "bytes_utf8": 10743, "lines": 351, "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\":\"019e40f8-2081-7680-b23a-77ba31ce8cbe\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c8a92babe9c0511577aa0f9e9292c80be9dbd1aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:00:22.173573+00:00", + "ended_at": "2026-05-19T16:00:30.753169+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_42391405f2527d3d", + "problem_id": "v2p_m10_92f0674bc84ddf2e", + "dataset_id": "m10", + "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=sc_w, condition_col=int_memory.", + "bindings": { + "group_col": "sc_w", + "condition_col": "int_memory", + "condition_value": "27", + "positive_value": "27", + "negative_value": "14", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=99" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9c183a8d90b4ea9948b2e6d182f17444f7d1c329 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:00:26.711698+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": 4535.86, "started_at": "2026-05-19T16:00:22.175044+00:00", "ended_at": "2026-05-19T16:00:26.710929+00:00", "prompt_metrics": {"chars": 10744, "bytes_utf8": 10744, "lines": 351, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "2026-05-19T16:00:23.934226Z ERROR codex_api::endpoint::responses_websocket: failed to connect to websocket: HTTP error: 502 Bad Gateway, url: wss://api.openai.com/v1/responses\n", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f7-7f97-72f2-9583-b0e9bdf2dbf8\"}\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: 2026-05-19T16:00:23.934226Z ERROR codex_api::endpoint::responses_websocket: failed to connect to websocket: HTTP error: 502 Bad Gateway, url: wss://api.openai.com/v1/responses"} +{"timestamp": "2026-05-19T16:00:30.753035+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": 3038.48, "started_at": "2026-05-19T16:00:27.713425+00:00", "ended_at": "2026-05-19T16:00:30.751943+00:00", "prompt_metrics": {"chars": 10744, "bytes_utf8": 10744, "lines": 351, "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\":\"019e40f7-9550-7801-8db2-b6ba2201f428\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5230b3635a6f41bdf0270f7fa07b1e49af44ee29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11302, "bytes_utf8": 11302, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 615, "bytes_utf8": 615, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15425, "cached_input_tokens": 14720, "output_tokens": 556, "reasoning_output_tokens": 378}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e3e0cfec243c268321c14e790716986067061d3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_44538378855de3fc", + "api_calls": 0, + "input_tokens": 15425, + "cached_input_tokens": 14720, + "output_tokens": 556, + "total_tokens": 15981, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15435.17, + "sql_execution_elapsed_ms_total": 2.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..df9b3e143a1cfdc3ad098a501b9fbd090c6b4619 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:33.118241+00:00", + "ended_at": "2026-05-19T15:39:48.553444+00:00", + "elapsed_ms": 15435.17, + "prompt_metrics": { + "chars": 11302, + "bytes_utf8": 11302, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 984, + "bytes_utf8": 984, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 615, + "bytes_utf8": 615, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15425, + "cached_input_tokens": 14720, + "output_tokens": 556, + "reasoning_output_tokens": 378 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7fe3311441be8866895544250bfb0f94ce2cf1cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=sc_w, condition_col=four_g.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "sc_w", + "condition_col": "four_g", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1e0b1f5d346f956ffe92c5df5abfe720e4dc4d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-7074-7442-81c1-64da4165e20e"} +{"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 \\\"sc_w\\\",\\n SUM(CASE WHEN \\\"four_g\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"four_g\\\" = '0' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"sc_w\\\"\\n)\\nSELECT \\\"sc_w\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned grouped-ratio template with group_col=\\\"sc_w\\\" and condition_col=\\\"four_g\\\", comparing text-encoded binary values '1' vs '0'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15425,"cached_input_tokens":14720,"output_tokens":556,"reasoning_output_tokens":378}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e96989275f3c316088b38d6de8e49574952e3a2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"sc_w\",\n SUM(CASE WHEN \"four_g\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"four_g\" = '0' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m10\"\n GROUP BY \"sc_w\"\n)\nSELECT \"sc_w\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Uses the planned grouped-ratio template with group_col=\"sc_w\" and condition_col=\"four_g\", comparing text-encoded binary values '1' vs '0'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_44538378855de3fc/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1824b15e4183bf9692b4f347f7b05a3c1eee48b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/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=dual_sim, measure_col=px_height. +Result preview: [{"dual_sim": "1", "group_value": 648105.0}, {"dual_sim": "0", "group_value": 642111.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9002fbf41af17d4a042c4e398752df320d395924 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_479f4317c2f734d1 +-- problem_id: v2p_m10_3a2ac2b878d80bd5 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "dual_sim", SUM(CAST("px_height" AS REAL)) AS "group_value" + FROM "m10" + GROUP BY "dual_sim" +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT g."dual_sim", g."group_value" +FROM grouped AS g +CROSS JOIN total AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e20204dac554cf25d17eaa67b714c1e648a04f2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/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 \"dual_sim\", SUM(CAST(\"px_height\" AS REAL)) AS \"group_value\"\n FROM \"m10\"\n GROUP BY \"dual_sim\"\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT g.\"dual_sim\", 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 \\\"dual_sim\\\", SUM(CAST(\\\"px_height\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m10\\\"\\n GROUP BY \\\"dual_sim\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"dual_sim\\\", 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\": [\"dual_sim\", \"group_value\"], \"rows\": [{\"dual_sim\": \"1\", \"group_value\": 648105.0}, {\"dual_sim\": \"0\", \"group_value\": 642111.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.62}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..23d4ca20de48d53ae9082f1ffa95785dad4ee3a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:48:10.956246+00:00", + "ended_at": "2026-05-19T15:48:20.214336+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_479f4317c2f734d1", + "problem_id": "v2p_m10_3a2ac2b878d80bd5", + "dataset_id": "m10", + "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=dual_sim, measure_col=px_height.", + "bindings": { + "group_col": "dual_sim", + "measure_col": "px_height", + "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": 781.34, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=77" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_479f4317c2f734d1.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_479f4317c2f734d1", + "api_calls": 0, + "input_tokens": 15353, + "cached_input_tokens": 14720, + "output_tokens": 462, + "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": 9251.19, + "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_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3aad34f66f59518942f2ab6c415cd74f505dd9d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:20.210928+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": 9251.19, "started_at": "2026-05-19T15:48:10.958653+00:00", "ended_at": "2026-05-19T15:48:20.209883+00:00", "prompt_metrics": {"chars": 11070, "bytes_utf8": 11070, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 659, "bytes_utf8": 659, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15353, "cached_input_tokens": 14720, "output_tokens": 462, "reasoning_output_tokens": 281}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"dual_sim\\\", SUM(CAST(\\\"px_height\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m10\\\"\\n GROUP BY \\\"dual_sim\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"dual_sim\\\", g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"dual_sim\\\" and measure_col=\\\"px_height\\\". Cast \\\"px_height\\\" to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4bd15e97da056d126d3ceaac343e391622499438 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_479f4317c2f734d1", + "api_calls": 0, + "input_tokens": 15353, + "cached_input_tokens": 14720, + "output_tokens": 462, + "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": 9251.19, + "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_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9508c3487b9a76481a0edd48584964f891e045ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/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=dual_sim, measure_col=px_width. +Result preview: [{"dual_sim": "0", "percentile_measure": 1931.0}, {"dual_sim": "1", "percentile_measure": 1928.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b239e2ca85e7dbb8cc4a8d8737eb6494e02b006d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/generated_sql.sql @@ -0,0 +1,42 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_47ab4f0d951dab4d +-- problem_id: v2p_m10_4f5943fe857d8fc1 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "dual_sim", + CAST("px_width" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "dual_sim" + ORDER BY CAST("px_width" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "dual_sim") AS "cnt" + FROM "m10" + WHERE "dual_sim" IS NOT NULL + AND "px_width" IS NOT NULL +), +"scored" AS ( + SELECT + "dual_sim", + "measure_value", + "rn", + MIN(CASE WHEN "rn" >= 0.95 * "cnt" THEN "rn" END) OVER ( + PARTITION BY "dual_sim" + ) AS "target_rn" + FROM "ranked" +) +SELECT + "dual_sim", + "measure_value" AS "percentile_measure" +FROM "scored" +WHERE "rn" = "target_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1de56773ea0116bad36d50786034cc8d405d8313 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"dual_sim\",\n CAST(\"px_width\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"dual_sim\"\n ORDER BY CAST(\"px_width\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"dual_sim\") AS \"cnt\"\n FROM \"m10\"\n WHERE \"dual_sim\" IS NOT NULL\n AND \"px_width\" IS NOT NULL\n),\n\"scored\" AS (\n SELECT\n \"dual_sim\",\n \"measure_value\",\n \"rn\",\n MIN(CASE WHEN \"rn\" >= 0.95 * \"cnt\" THEN \"rn\" END) OVER (\n PARTITION BY \"dual_sim\"\n ) AS \"target_rn\"\n FROM \"ranked\"\n)\nSELECT\n \"dual_sim\",\n \"measure_value\" AS \"percentile_measure\"\nFROM \"scored\"\nWHERE \"rn\" = \"target_rn\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"dual_sim\\\",\\n CAST(\\\"px_width\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"dual_sim\\\"\\n ORDER BY CAST(\\\"px_width\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"dual_sim\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"dual_sim\\\" IS NOT NULL\\n AND \\\"px_width\\\" IS NOT NULL\\n),\\n\\\"scored\\\" AS (\\n SELECT\\n \\\"dual_sim\\\",\\n \\\"measure_value\\\",\\n \\\"rn\\\",\\n MIN(CASE WHEN \\\"rn\\\" >= 0.95 * \\\"cnt\\\" THEN \\\"rn\\\" END) OVER (\\n PARTITION BY \\\"dual_sim\\\"\\n ) AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"dual_sim\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"scored\\\"\\nWHERE \\\"rn\\\" = \\\"target_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"dual_sim\", \"percentile_measure\"], \"rows\": [{\"dual_sim\": \"0\", \"percentile_measure\": 1931.0}, {\"dual_sim\": \"1\", \"percentile_measure\": 1928.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 14.53}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..58923214bb0df021ee17c364dee226d032b7759d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:58:02.863203+00:00", + "ended_at": "2026-05-19T15:58:31.373845+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_47ab4f0d951dab4d", + "problem_id": "v2p_m10_4f5943fe857d8fc1", + "dataset_id": "m10", + "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=dual_sim, measure_col=px_width.", + "bindings": { + "group_col": "dual_sim", + "measure_col": "px_width", + "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": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=92" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_47ab4f0d951dab4d.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_47ab4f0d951dab4d", + "api_calls": 0, + "input_tokens": 15256, + "cached_input_tokens": 14720, + "output_tokens": 1547, + "total_tokens": 16803, + "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": 27487.09, + "sql_execution_elapsed_ms_total": 14.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7fe4e944e1ef7cc3b4065576792f0342249c5fc1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:58:06.114178+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": 3247.77, "started_at": "2026-05-19T15:58:02.865603+00:00", "ended_at": "2026-05-19T15:58:06.113409+00:00", "prompt_metrics": {"chars": 10691, "bytes_utf8": 10691, "lines": 348, "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\":\"019e40f5-5f7a-7933-a60e-8458c29d4d26\"}\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": "2026-05-19T15:58:31.356780+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": 24239.32, "started_at": "2026-05-19T15:58:07.115750+00:00", "ended_at": "2026-05-19T15:58:31.355119+00:00", "prompt_metrics": {"chars": 10691, "bytes_utf8": 10691, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 1061, "bytes_utf8": 1061, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15256, "cached_input_tokens": 14720, "output_tokens": 1547, "reasoning_output_tokens": 1229}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"dual_sim\\\",\\n CAST(\\\"px_width\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"dual_sim\\\"\\n ORDER BY CAST(\\\"px_width\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"dual_sim\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"dual_sim\\\" IS NOT NULL\\n AND \\\"px_width\\\" IS NOT NULL\\n),\\n\\\"scored\\\" AS (\\n SELECT\\n \\\"dual_sim\\\",\\n \\\"measure_value\\\",\\n \\\"rn\\\",\\n MIN(CASE WHEN \\\"rn\\\" >= 0.95 * \\\"cnt\\\" THEN \\\"rn\\\" END) OVER (\\n PARTITION BY \\\"dual_sim\\\"\\n ) AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"dual_sim\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"scored\\\"\\nWHERE \\\"rn\\\" = \\\"target_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a window-function nearest-rank implementation of the 95th percentile for \\\"px_width\\\" within each \\\"dual_sim\\\" group. \\\"px_wi"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b08c79509745b88506cd5c27606ec510995dc6f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_47ab4f0d951dab4d", + "api_calls": 0, + "input_tokens": 15256, + "cached_input_tokens": 14720, + "output_tokens": 1547, + "total_tokens": 16803, + "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": 27487.09, + "sql_execution_elapsed_ms_total": 14.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..47beaa7e9029ee36d460a9fd3b83e0beb9193292 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/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=blue, measure_col=n_cores. +Result preview: [{"blue": "1", "group_value": 4558.0}, {"blue": "0", "group_value": 4483.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3c599b1b2a041c97adcf5457e9b036efdd09280e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_4c9fb7e19cfc42ff +-- problem_id: v2p_m10_09e6b034c82aa00a +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "blue", + SUM(CAST("n_cores" AS REAL)) AS group_value + FROM "m10" + GROUP BY "blue" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."blue", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e3fb24a66e848e3279816b61726ff4dfbda95ee7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold.\nWITH grouped AS (\n SELECT\n \"blue\",\n SUM(CAST(\"n_cores\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"blue\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"blue\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH grouped AS (\\n SELECT\\n \\\"blue\\\",\\n SUM(CAST(\\\"n_cores\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"blue\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"blue\\\", 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\": [\"blue\", \"group_value\"], \"rows\": [{\"blue\": \"1\", \"group_value\": 4558.0}, {\"blue\": \"0\", \"group_value\": 4483.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..91a6a9fd6a0c3e3fae2a31665f87c343bfd02b46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:47:25.358151+00:00", + "ended_at": "2026-05-19T15:47:35.622928+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_4c9fb7e19cfc42ff", + "problem_id": "v2p_m10_09e6b034c82aa00a", + "dataset_id": "m10", + "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=blue, measure_col=n_cores.", + "bindings": { + "group_col": "blue", + "measure_col": "n_cores", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=75" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_4c9fb7e19cfc42ff.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_4c9fb7e19cfc42ff", + "api_calls": 0, + "input_tokens": 15352, + "cached_input_tokens": 14720, + "output_tokens": 408, + "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": 10256.66, + "sql_execution_elapsed_ms_total": 1.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4ad1a995a02566f2d1b215a614be10b81b1d20c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:35.618930+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": 10256.66, "started_at": "2026-05-19T15:47:25.360877+00:00", "ended_at": "2026-05-19T15:47:35.617598+00:00", "prompt_metrics": {"chars": 11055, "bytes_utf8": 11055, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 624, "bytes_utf8": 624, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15352, "cached_input_tokens": 14720, "output_tokens": 408, "reasoning_output_tokens": 238}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH grouped AS (\\n SELECT\\n \\\"blue\\\",\\n SUM(CAST(\\\"n_cores\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"blue\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"blue\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"blue\\\" and measure_col=\\\"n_cores\\\". Cast \\\"n_cores\\\" from TEXT to REAL for SQLite aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..032df9dfcc3c91c130bfcfd06853ffa1de818da8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_4c9fb7e19cfc42ff", + "api_calls": 0, + "input_tokens": 15352, + "cached_input_tokens": 14720, + "output_tokens": 408, + "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": 10256.66, + "sql_execution_elapsed_ms_total": 1.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..135df37a211c16566f7ff18b01f50aecc8e9a2b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:05:04.644934+00:00", + "ended_at": "2026-05-19T16:05:12.069340+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_4d467688c5a9b698", + "problem_id": "v2p_m10_51eb5a814509949a", + "dataset_id": "m10", + "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=four_g.", + "bindings": { + "group_col": "four_g", + "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": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m10/artifacts/v2q_m10_4d467688c5a9b698/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..55447bdc8028795cbc31c5cc232afb00ce4028df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:07.759679+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": 3112.29, "started_at": "2026-05-19T16:05:04.646101+00:00", "ended_at": "2026-05-19T16:05:07.758417+00:00", "prompt_metrics": {"chars": 10497, "bytes_utf8": 10497, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-cf12-7390-80f2-1b6df16ec2a1\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:12.069254+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": 3307.21, "started_at": "2026-05-19T16:05:08.761311+00:00", "ended_at": "2026-05-19T16:05:12.068567+00:00", "prompt_metrics": {"chars": 10497, "bytes_utf8": 10497, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-df2a-7e82-833e-d85f8eb308c7\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d3b63b2f00c4acb7fe72b943ee96625b35c302e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/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=four_g, measure_col=ram. +Result preview: [{"four_g": "1", "group_value": 2223478.0}, {"four_g": "0", "group_value": 2024948.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8f12b55f27e343eb5c44a03909a5748d70f10cc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_4f1e12a7b0ef44b6 +-- problem_id: v2p_m10_d13b91e17f57ff71 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "four_g", SUM(CAST("ram" AS REAL)) AS "group_value" + FROM "m10" + GROUP BY "four_g" +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT g."four_g", g."group_value" +FROM grouped AS g +CROSS JOIN total AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c316bda1bd640d51efb1525d9def645eef803958 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/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 \"four_g\", SUM(CAST(\"ram\" AS REAL)) AS \"group_value\"\n FROM \"m10\"\n GROUP BY \"four_g\"\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT g.\"four_g\", 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 \\\"four_g\\\", SUM(CAST(\\\"ram\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m10\\\"\\n GROUP BY \\\"four_g\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"four_g\\\", 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\": [\"four_g\", \"group_value\"], \"rows\": [{\"four_g\": \"1\", \"group_value\": 2223478.0}, {\"four_g\": \"0\", \"group_value\": 2024948.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.74}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f6a300b289b06e9a78337dc5abece33d6f146126 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:48:50.251173+00:00", + "ended_at": "2026-05-19T15:49:09.008063+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_4f1e12a7b0ef44b6", + "problem_id": "v2p_m10_d13b91e17f57ff71", + "dataset_id": "m10", + "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=four_g, measure_col=ram.", + "bindings": { + "group_col": "four_g", + "measure_col": "ram", + "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": 2682.04, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m10/sql/v2q_m10_4f1e12a7b0ef44b6.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_4f1e12a7b0ef44b6", + "api_calls": 0, + "input_tokens": 15352, + "cached_input_tokens": 12032, + "output_tokens": 558, + "total_tokens": 15910, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18748.54, + "sql_execution_elapsed_ms_total": 2.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1aff06a000320da6999d48fe26e5eb6abd4f7e30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:09.002474+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": 18748.54, "started_at": "2026-05-19T15:48:50.252196+00:00", "ended_at": "2026-05-19T15:49:09.000773+00:00", "prompt_metrics": {"chars": 11055, "bytes_utf8": 11055, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 601, "bytes_utf8": 601, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15352, "cached_input_tokens": 12032, "output_tokens": 558, "reasoning_output_tokens": 385}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"four_g\\\", SUM(CAST(\\\"ram\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m10\\\"\\n GROUP BY \\\"four_g\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"four_g\\\", g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the required template with group_col=\\\"four_g\\\" and measure_col=\\\"ram\\\". Cast \\\"ram\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0b87cf0d2765b778f392f43adcfcad8cabb17ad7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_4f1e12a7b0ef44b6", + "api_calls": 0, + "input_tokens": 15352, + "cached_input_tokens": 12032, + "output_tokens": 558, + "total_tokens": 15910, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18748.54, + "sql_execution_elapsed_ms_total": 2.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..313581e090b32b4354b944e15c37421cd724c337 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/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=sc_h, measure_col=px_width. +Result preview: [{"sc_h": 17, "total_measure": 249454.0}, {"sc_h": 12, "total_measure": 205317.0}, {"sc_h": 7, "total_measure": 184750.0}, {"sc_h": 16, "total_measure": 183639.0}, {"sc_h": 14, "total_measure": 176356.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6d44c3c7bfcaf764f81271d824d254ddd4ee57dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_513ab70bafd29e85 +-- problem_id: v2p_m10_7294e9d3c360c7af +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("sc_h" AS INTEGER) AS "sc_h", SUM(CAST("px_width" AS REAL)) AS "total_measure" +FROM "m10" +GROUP BY CAST("sc_h" AS INTEGER) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8f7c237897a9a47c4ab54aeef42e03895482690a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/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 CAST(\"sc_h\" AS INTEGER) AS \"sc_h\", SUM(CAST(\"px_width\" AS REAL)) AS \"total_measure\"\nFROM \"m10\"\nGROUP BY CAST(\"sc_h\" AS INTEGER)\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"sc_h\\\" AS INTEGER) AS \\\"sc_h\\\", SUM(CAST(\\\"px_width\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m10\\\"\\nGROUP BY CAST(\\\"sc_h\\\" AS INTEGER)\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"sc_h\", \"total_measure\"], \"rows\": [{\"sc_h\": 17, \"total_measure\": 249454.0}, {\"sc_h\": 12, \"total_measure\": 205317.0}, {\"sc_h\": 7, \"total_measure\": 184750.0}, {\"sc_h\": 16, \"total_measure\": 183639.0}, {\"sc_h\": 14, \"total_measure\": 176356.0}, {\"sc_h\": 15, \"total_measure\": 162823.0}, {\"sc_h\": 13, \"total_measure\": 161657.0}, {\"sc_h\": 19, \"total_measure\": 155382.0}, {\"sc_h\": 9, \"total_measure\": 154519.0}, {\"sc_h\": 18, \"total_measure\": 154381.0}, {\"sc_h\": 11, \"total_measure\": 152493.0}, {\"sc_h\": 10, \"total_measure\": 147802.0}, {\"sc_h\": 6, \"total_measure\": 147037.0}, {\"sc_h\": 8, \"total_measure\": 145583.0}, {\"sc_h\": 5, \"total_measure\": 121838.0}], \"row_count_returned\": 15, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.93}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..50b155b0d30b9e607738098af7f69d1b66784e40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:31:30.912446+00:00", + "ended_at": "2026-05-19T15:31:49.882751+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_513ab70bafd29e85", + "problem_id": "v2p_m10_7294e9d3c360c7af", + "dataset_id": "m10", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sc_h, measure_col=px_width.", + "bindings": { + "group_col": "sc_h", + "measure_col": "px_width", + "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": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=8" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_513ab70bafd29e85.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_513ab70bafd29e85", + "api_calls": 0, + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 535, + "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": 18962.68, + "sql_execution_elapsed_ms_total": 2.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a48a525a1dbd840b729502a301e4e9e9eb6550f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:49.877780+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": 18962.68, "started_at": "2026-05-19T15:31:30.913473+00:00", "ended_at": "2026-05-19T15:31:49.876186+00:00", "prompt_metrics": {"chars": 10504, "bytes_utf8": 10504, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 455, "bytes_utf8": 455, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15217, "cached_input_tokens": 12032, "output_tokens": 535, "reasoning_output_tokens": 415}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"sc_h\\\" AS INTEGER) AS \\\"sc_h\\\", SUM(CAST(\\\"px_width\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m10\\\"\\nGROUP BY CAST(\\\"sc_h\\\" AS INTEGER)\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the requested grouped numeric sum template with \\\"sc_h\\\" as the grouping column and \\\"px_width\\\" as the summed measure, casting both from TEXT-backed schema values to numeric types for correct SQLite aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2dcadf04e11565450c1d894d2a74b1ac765fcb94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_513ab70bafd29e85", + "api_calls": 0, + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 535, + "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": 18962.68, + "sql_execution_elapsed_ms_total": 2.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a9ccefc9bb6533f54c8cdf86e9096f9d6823724 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/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=m_dep. +Result preview: [{"m_dep": "1.0", "support": 106}, {"m_dep": "0.4", "support": 168}, {"m_dep": "0.6", "support": 186}, {"m_dep": "0.9", "support": 195}, {"m_dep": "0.3", "support": 199}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d46d986ba32906d56602f6bf69306b99059b8c46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_51813e02aa4e63fc +-- problem_id: v2p_m10_3ce0a205f03748e9 +-- realization_mode: agent +-- source_kind: agent +SELECT + "m_dep", + COUNT(*) AS "support" +FROM "m10" +GROUP BY "m_dep" +ORDER BY "support" ASC, "m_dep" +LIMIT 15; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c108a255c49d73ed29b4b8a23c2a6fda51c88fa4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/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 \"m_dep\",\n COUNT(*) AS \"support\"\nFROM \"m10\"\nGROUP BY \"m_dep\"\nORDER BY \"support\" ASC, \"m_dep\"\nLIMIT 15;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"m_dep\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"m_dep\\\"\\nORDER BY \\\"support\\\" ASC, \\\"m_dep\\\"\\nLIMIT 15;\", \"columns\": [\"m_dep\", \"support\"], \"rows\": [{\"m_dep\": \"1.0\", \"support\": 106}, {\"m_dep\": \"0.4\", \"support\": 168}, {\"m_dep\": \"0.6\", \"support\": 186}, {\"m_dep\": \"0.9\", \"support\": 195}, {\"m_dep\": \"0.3\", \"support\": 199}, {\"m_dep\": \"0.7\", \"support\": 200}, {\"m_dep\": \"0.5\", \"support\": 205}, {\"m_dep\": \"0.8\", \"support\": 208}, {\"m_dep\": \"0.2\", \"support\": 213}, {\"m_dep\": \"0.1\", \"support\": 320}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.08}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4e55baff6bec71f05f5be6e016cc9cba8535f344 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:05:19.592195+00:00", + "ended_at": "2026-05-19T16:05:27.173653+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_51813e02aa4e63fc", + "problem_id": "v2p_m10_3ce0a205f03748e9", + "dataset_id": "m10", + "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=m_dep.", + "bindings": { + "group_col": "m_dep", + "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": 2.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m10/sql/v2q_m10_51813e02aa4e63fc.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_51813e02aa4e63fc", + "api_calls": 0, + "input_tokens": 15226, + "cached_input_tokens": 14720, + "output_tokens": 279, + "total_tokens": 15505, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7576.53, + "sql_execution_elapsed_ms_total": 1.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b68b7ca6b9467814f51e32d587181f5197e0be77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:05:27.171374+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": 7576.53, "started_at": "2026-05-19T16:05:19.594082+00:00", "ended_at": "2026-05-19T16:05:27.170643+00:00", "prompt_metrics": {"chars": 10495, "bytes_utf8": 10495, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 305, "bytes_utf8": 305, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15226, "cached_input_tokens": 14720, "output_tokens": 279, "reasoning_output_tokens": 186}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"m_dep\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"m_dep\\\"\\nORDER BY \\\"support\\\" ASC, \\\"m_dep\\\"\\nLIMIT 15;\",\"notes\":\"Applied the Low-Support Group Count template on \\\"m_dep\\\" to return the 15 least-supported groups.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..72882168e6e2c4637e43ef4fc68449b630476549 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_51813e02aa4e63fc", + "api_calls": 0, + "input_tokens": 15226, + "cached_input_tokens": 14720, + "output_tokens": 279, + "total_tokens": 15505, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7576.53, + "sql_execution_elapsed_ms_total": 1.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_51813e02aa4e63fc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2ea096393495343c9f913d98dc03afaa2ba95182 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/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=touch_screen, measure_col=m_dep. +Result preview: [{"touch_screen": "1", "percentile_measure": 0.9}, {"touch_screen": "0", "percentile_measure": 0.9}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..96ffcfae1529b7e98bf270b65717f97ee197daaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/generated_sql.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_52b465ebb217bc99 +-- problem_id: v2p_m10_810e3d5317d6201e +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "touch_screen", + CAST(NULLIF("m_dep", '') AS REAL) AS "measure_value", + CUME_DIST() OVER ( + PARTITION BY "touch_screen" + ORDER BY CAST(NULLIF("m_dep", '') AS REAL) + ) AS "cum_dist" + FROM "m10" + WHERE NULLIF("touch_screen", '') IS NOT NULL + AND NULLIF("m_dep", '') IS NOT NULL +) +SELECT + "touch_screen", + MIN("measure_value") AS "percentile_measure" +FROM "ranked" +WHERE "cum_dist" >= 0.9 +GROUP BY "touch_screen" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e1d06e138b8fe888843f22793768b50931bc3d6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"touch_screen\",\n CAST(NULLIF(\"m_dep\", '') AS REAL) AS \"measure_value\",\n CUME_DIST() OVER (\n PARTITION BY \"touch_screen\"\n ORDER BY CAST(NULLIF(\"m_dep\", '') AS REAL)\n ) AS \"cum_dist\"\n FROM \"m10\"\n WHERE NULLIF(\"touch_screen\", '') IS NOT NULL\n AND NULLIF(\"m_dep\", '') IS NOT NULL\n)\nSELECT\n \"touch_screen\",\n MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cum_dist\" >= 0.9\nGROUP BY \"touch_screen\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"touch_screen\\\",\\n CAST(NULLIF(\\\"m_dep\\\", '') AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"touch_screen\\\"\\n ORDER BY CAST(NULLIF(\\\"m_dep\\\", '') AS REAL)\\n ) AS \\\"cum_dist\\\"\\n FROM \\\"m10\\\"\\n WHERE NULLIF(\\\"touch_screen\\\", '') IS NOT NULL\\n AND NULLIF(\\\"m_dep\\\", '') IS NOT NULL\\n)\\nSELECT\\n \\\"touch_screen\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cum_dist\\\" >= 0.9\\nGROUP BY \\\"touch_screen\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"touch_screen\", \"percentile_measure\"], \"rows\": [{\"touch_screen\": \"1\", \"percentile_measure\": 0.9}, {\"touch_screen\": \"0\", \"percentile_measure\": 0.9}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2fe76ef18034441d18c42e82aefe9eccadb33473 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:52:36.625604+00:00", + "ended_at": "2026-05-19T15:52:57.027265+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_52b465ebb217bc99", + "problem_id": "v2p_m10_810e3d5317d6201e", + "dataset_id": "m10", + "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=touch_screen, measure_col=m_dep.", + "bindings": { + "group_col": "touch_screen", + "measure_col": "m_dep", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=87" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_52b465ebb217bc99.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_52b465ebb217bc99", + "api_calls": 0, + "input_tokens": 15254, + "cached_input_tokens": 14720, + "output_tokens": 1154, + "total_tokens": 16408, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20391.59, + "sql_execution_elapsed_ms_total": 5.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..29b4b6057c921970abaa3072cc9723326bc80f8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:52:57.019421+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": 20391.59, "started_at": "2026-05-19T15:52:36.626800+00:00", "ended_at": "2026-05-19T15:52:57.018415+00:00", "prompt_metrics": {"chars": 10688, "bytes_utf8": 10688, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 837, "bytes_utf8": 837, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15254, "cached_input_tokens": 14720, "output_tokens": 1154, "reasoning_output_tokens": 919}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"touch_screen\\\",\\n CAST(NULLIF(\\\"m_dep\\\", '') AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"touch_screen\\\"\\n ORDER BY CAST(NULLIF(\\\"m_dep\\\", '') AS REAL)\\n ) AS \\\"cum_dist\\\"\\n FROM \\\"m10\\\"\\n WHERE NULLIF(\\\"touch_screen\\\", '') IS NOT NULL\\n AND NULLIF(\\\"m_dep\\\", '') IS NOT NULL\\n)\\nSELECT\\n \\\"touch_screen\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cum_dist\\\" >= 0.9\\nGROUP BY \\\"touch_screen\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a CUME_DIST-based discrete percentile: the smallest casted \\\"m_dep\\\" value whose cumulative distribution reaches at least 0.9 within each \\\"touch_screen\\\" group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b29752e49c085a04a5fd655e0e56fa276105418c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_52b465ebb217bc99", + "api_calls": 0, + "input_tokens": 15254, + "cached_input_tokens": 14720, + "output_tokens": 1154, + "total_tokens": 16408, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20391.59, + "sql_execution_elapsed_ms_total": 5.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b71ee667d9db958f1dd3c76d23c76d4a715e7ec9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10586, "bytes_utf8": 10586, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 392, "bytes_utf8": 392, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15227, "cached_input_tokens": 12032, "output_tokens": 253, "reasoning_output_tokens": 149}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..42da30f7b319c9b208614a6fe30a6c091f028481 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_52cecab3a7b330e7", + "api_calls": 0, + "input_tokens": 15227, + "cached_input_tokens": 12032, + "output_tokens": 253, + "total_tokens": 15480, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7319.94, + "sql_execution_elapsed_ms_total": 3.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a660b39f17fb048d34f940e97a90f0822e35895f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:52.819294+00:00", + "ended_at": "2026-05-19T16:08:00.139267+00:00", + "elapsed_ms": 7319.94, + "prompt_metrics": { + "chars": 10586, + "bytes_utf8": 10586, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 751, + "bytes_utf8": 751, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 392, + "bytes_utf8": 392, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15227, + "cached_input_tokens": 12032, + "output_tokens": 253, + "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_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ed6cd73fb52a0094ab860d4e8e3f0d5b0fe0927 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=fc, measure_col=talk_time.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "fc", + "measure_col": "talk_time", + "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": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2797d32510a5d1fc026e600c544e38c50e3e7e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-5ff2-77c3-bf31-aa6b820e883a"} +{"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 \\\"fc\\\",\\n AVG(CAST(\\\"talk_time\\\" AS REAL)) OVER (PARTITION BY \\\"fc\\\") AS avg_measure\\nFROM \\\"m10\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Used the planned Window Partition Average template with group_col=\\\"fc\\\" and measure_col=\\\"talk_time\\\". Cast \\\"talk_time\\\" to REAL because the SQLite schema stores columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15227,"cached_input_tokens":12032,"output_tokens":253,"reasoning_output_tokens":149}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e736255172f9f2b9efa835e6ac1a4e388f2ef1e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n \"fc\",\n AVG(CAST(\"talk_time\" AS REAL)) OVER (PARTITION BY \"fc\") AS avg_measure\nFROM \"m10\"\nORDER BY avg_measure DESC;","notes":"Used the planned Window Partition Average template with group_col=\"fc\" and measure_col=\"talk_time\". Cast \"talk_time\" to REAL because the SQLite schema stores columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52cecab3a7b330e7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bd23f22cd4ceebe1e54eb3b4b9145d0222058783 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10437, "bytes_utf8": 10437, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 327, "bytes_utf8": 327, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15205, "cached_input_tokens": 12032, "output_tokens": 252, "reasoning_output_tokens": 152}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..22292857aa25e6a5d0c87df6749eea6f131cc2c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_54da465dbf505dd9", + "api_calls": 0, + "input_tokens": 15205, + "cached_input_tokens": 12032, + "output_tokens": 252, + "total_tokens": 15457, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9799.82, + "sql_execution_elapsed_ms_total": 0.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3f3a56199f839297dca3f8909f85225342418638 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:22.829743+00:00", + "ended_at": "2026-05-19T16:02:32.629592+00:00", + "elapsed_ms": 9799.82, + "prompt_metrics": { + "chars": 10437, + "bytes_utf8": 10437, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 671, + "bytes_utf8": 671, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 327, + "bytes_utf8": 327, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15205, + "cached_input_tokens": 12032, + "output_tokens": 252, + "reasoning_output_tokens": 152 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..36f447febb5e94f77f7f62ee8423b6d78f594980 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=sc_w.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "sc_w", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1fae6a6fc0774dab80084a87720c5ffbe6f4f6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-56fd-7682-9ac6-4790c0b4c5f4"} +{"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(\\\"sc_w\\\" AS REAL) <= 9.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m10\\\";\",\"notes\":\"Used the planned Threshold Rarity CDF template with measure_col=\\\"sc_w\\\" and threshold 9.0; cast to REAL because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15205,"cached_input_tokens":12032,"output_tokens":252,"reasoning_output_tokens":152}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..01a9e3b0316b95effd64c8fad4c9519a992360b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"sc_w\" AS REAL) <= 9.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m10\";","notes":"Used the planned Threshold Rarity CDF template with measure_col=\"sc_w\" and threshold 9.0; cast to REAL because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_54da465dbf505dd9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae79e449d43ad2ad88e27f3d9a36cac7e0861617 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/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=clock_speed, measure_col=px_height. +Result preview: [{"clock_speed": "2.1", "percentile_measure": 1428.0}, {"clock_speed": "1.3", "percentile_measure": 1428.0}, {"clock_speed": "1.6", "percentile_measure": 1419.0}, {"clock_speed": "2.2", "percentile_measure": 1417.0}, {"clock_speed": "1.0", "percentile_measure": 1352.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..dc24b27a075dcf8daf2411b92b2245effbcbaf05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/generated_sql.sql @@ -0,0 +1,33 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_592a6649490be35d +-- problem_id: v2p_m10_574b3e20cfbbcf60 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "clock_speed", + CAST("px_height" AS REAL) AS "measure_val", + ROW_NUMBER() OVER ( + PARTITION BY "clock_speed" + ORDER BY CAST("px_height" AS REAL) + ) AS "rn_asc", + COUNT(*) OVER (PARTITION BY "clock_speed") AS "cnt" + FROM "m10" + WHERE "clock_speed" IS NOT NULL + AND "px_height" IS NOT NULL +) +SELECT + "clock_speed", + MIN(CASE WHEN "rn_asc" >= 0.9 * "cnt" THEN "measure_val" END) AS "percentile_measure" +FROM "ranked" +GROUP BY "clock_speed" +HAVING COUNT(*) >= 5 +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d65aa43fab61e5a9af47ec8ff3f098ffeb65d82f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"clock_speed\",\n CAST(\"px_height\" AS REAL) AS \"measure_val\",\n ROW_NUMBER() OVER (\n PARTITION BY \"clock_speed\"\n ORDER BY CAST(\"px_height\" AS REAL)\n ) AS \"rn_asc\",\n COUNT(*) OVER (PARTITION BY \"clock_speed\") AS \"cnt\"\n FROM \"m10\"\n WHERE \"clock_speed\" IS NOT NULL\n AND \"px_height\" IS NOT NULL\n)\nSELECT\n \"clock_speed\",\n MIN(CASE WHEN \"rn_asc\" >= 0.9 * \"cnt\" THEN \"measure_val\" END) AS \"percentile_measure\"\nFROM \"ranked\"\nGROUP BY \"clock_speed\"\nHAVING COUNT(*) >= 5\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"clock_speed\\\",\\n CAST(\\\"px_height\\\" AS REAL) AS \\\"measure_val\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"clock_speed\\\"\\n ORDER BY CAST(\\\"px_height\\\" AS REAL)\\n ) AS \\\"rn_asc\\\",\\n COUNT(*) OVER (PARTITION BY \\\"clock_speed\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"clock_speed\\\" IS NOT NULL\\n AND \\\"px_height\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"clock_speed\\\",\\n MIN(CASE WHEN \\\"rn_asc\\\" >= 0.9 * \\\"cnt\\\" THEN \\\"measure_val\\\" END) AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nGROUP BY \\\"clock_speed\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"clock_speed\", \"percentile_measure\"], \"rows\": [{\"clock_speed\": \"2.1\", \"percentile_measure\": 1428.0}, {\"clock_speed\": \"1.3\", \"percentile_measure\": 1428.0}, {\"clock_speed\": \"1.6\", \"percentile_measure\": 1419.0}, {\"clock_speed\": \"2.2\", \"percentile_measure\": 1417.0}, {\"clock_speed\": \"1.0\", \"percentile_measure\": 1352.0}, {\"clock_speed\": \"0.8\", \"percentile_measure\": 1345.0}, {\"clock_speed\": \"2.8\", \"percentile_measure\": 1333.0}, {\"clock_speed\": \"1.4\", \"percentile_measure\": 1331.0}, {\"clock_speed\": \"2.6\", \"percentile_measure\": 1328.0}, {\"clock_speed\": \"3.0\", \"percentile_measure\": 1311.0}, {\"clock_speed\": \"2.0\", \"percentile_measure\": 1303.0}, {\"clock_speed\": \"0.7\", \"percentile_measure\": 1301.0}, {\"clock_speed\": \"0.5\", \"percentile_measure\": 1285.0}, {\"clock_speed\": \"2.3\", \"percentile_measure\": 1284.0}, {\"clock_speed\": \"2.7\", \"percentile_measure\": 1273.0}, {\"clock_speed\": \"2.4\", \"percentile_measure\": 1273.0}, {\"clock_speed\": \"0.6\", \"percentile_measure\": 1242.0}, {\"clock_speed\": \"1.2\", \"percentile_measure\": 1226.0}, {\"clock_speed\": \"2.9\", \"percentile_measure\": 1221.0}, {\"clock_speed\": \"1.9\", \"percentile_measure\": 1221.0}, {\"clock_speed\": \"2.5\", \"percentile_measure\": 1216.0}, {\"clock_speed\": \"0.9\", \"percentile_measure\": 1213.0}, {\"clock_speed\": \"1.1\", \"percentile_measure\": 1208.0}, {\"clock_speed\": \"1.8\", \"percentile_measure\": 1175.0}, {\"clock_speed\": \"1.7\", \"percentile_measure\": 1171.0}, {\"clock_speed\": \"1.5\", \"percentile_measure\": 1164.0}], \"row_count_returned\": 26, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 12.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..067042dade543d1beb11b9f262349b208f21d8f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:56:42.896579+00:00", + "ended_at": "2026-05-19T15:57:12.041489+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_592a6649490be35d", + "problem_id": "v2p_m10_574b3e20cfbbcf60", + "dataset_id": "m10", + "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=clock_speed, measure_col=px_height.", + "bindings": { + "group_col": "clock_speed", + "measure_col": "px_height", + "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": 947.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=91" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_592a6649490be35d.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_592a6649490be35d", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 1490, + "total_tokens": 16745, + "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": 28121.87, + "sql_execution_elapsed_ms_total": 12.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0fc223c847675d314c8a95b84029f5ac550be25a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:56:46.179828+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": 3280.01, "started_at": "2026-05-19T15:56:42.898913+00:00", "ended_at": "2026-05-19T15:56:46.178965+00:00", "prompt_metrics": {"chars": 10697, "bytes_utf8": 10697, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-272a-76f0-8e4f-36baa800d129\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:57:12.025426+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": 24841.86, "started_at": "2026-05-19T15:56:47.181827+00:00", "ended_at": "2026-05-19T15:57:12.023745+00:00", "prompt_metrics": {"chars": 10697, "bytes_utf8": 10697, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 989, "bytes_utf8": 989, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15255, "cached_input_tokens": 14720, "output_tokens": 1490, "reasoning_output_tokens": 1210}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"clock_speed\\\",\\n CAST(\\\"px_height\\\" AS REAL) AS \\\"measure_val\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"clock_speed\\\"\\n ORDER BY CAST(\\\"px_height\\\" AS REAL)\\n ) AS \\\"rn_asc\\\",\\n COUNT(*) OVER (PARTITION BY \\\"clock_speed\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"clock_speed\\\" IS NOT NULL\\n AND \\\"px_height\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"clock_speed\\\",\\n MIN(CASE WHEN \\\"rn_asc\\\" >= 0.9 * \\\"cnt\\\" THEN \\\"measure_val\\\" END) AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nGROUP BY \\\"clock_speed\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile per clock_speed group by selecting the first ordered px_height where row_number/count >= 0.9. \\\"px_height\\\" is cast from TEXT to REAL, and groups with fewer than 5 rows are excluded using the provided min_group_size binding.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2a068a6967fd1bd91eff4158680fdab6c0728b47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_592a6649490be35d", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 1490, + "total_tokens": 16745, + "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": 28121.87, + "sql_execution_elapsed_ms_total": 12.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..10a7ed11017a1ae8f9b126be3569950769b741fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:18.616886+00:00", + "ended_at": "2026-05-19T15:59:21.633384+00:00", + "elapsed_ms": 3016.48, + "returncode": 1, + "prompt_metrics": { + "chars": 10766, + "bytes_utf8": 10766, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bbda468b993ff811b7eab2315d63c60b3c5214b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:22.635103+00:00", + "ended_at": "2026-05-19T15:59:26.306271+00:00", + "elapsed_ms": 3671.14, + "returncode": 1, + "prompt_metrics": { + "chars": 10766, + "bytes_utf8": 10766, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae518c6185950ffd47c16d02fef95d63c54eb3be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=n_cores, condition_col=touch_screen.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "n_cores", + "condition_col": "touch_screen", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae518c6185950ffd47c16d02fef95d63c54eb3be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=n_cores, condition_col=touch_screen.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "n_cores", + "condition_col": "touch_screen", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..91e89162383985af8b7627bf3e1faf974ddc5b13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-876a-7e41-9370-2728f1a63315"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1af26f7d1ca35110c5e8b558b89bffa72a71d62b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-876a-7e41-9370-2728f1a63315"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3013986dab65bbf4491fd433333a50891ae16eb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-9727-7953-ab80-c3d105fee8ed"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..41c5cb40784b375255c0b2fe2aa9744eac697257 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-9727-7953-ab80-c3d105fee8ed"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a39a3368e850caf/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a51a54b0fdd9aee/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a51a54b0fdd9aee/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae4560341610ce0d8305fd6fadae96dfb485822e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a51a54b0fdd9aee/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"pc": "10", "support": 122, "avg_response": 4.278688524590164}, {"pc": "7", "support": 119, "avg_response": 2.9747899159663866}, {"pc": "9", "support": 112, "avg_response": 3.544642857142857}, {"pc": "20", "support": 110, "avg_response": 9.00909090909091}, {"pc": "14", "support": 104, "avg_response": 6.615384615384615}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a51a54b0fdd9aee/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a51a54b0fdd9aee/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7dcd345d3f3f4540b1e4794d40b95f8969a4643f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a51a54b0fdd9aee/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_5a51a54b0fdd9aee +-- problem_id: v2p_m10_0ab954ddc5ce8a99 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "pc", + COUNT(*) AS support, + AVG("fc") AS avg_response +FROM "m10" +GROUP BY "pc" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a51a54b0fdd9aee/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a51a54b0fdd9aee/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bd6a79af9578bc58487a152e50556a58acd4ebe1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a51a54b0fdd9aee/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\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_m10_5a51a54b0fdd9aee\n-- problem_id: v2p_m10_0ab954ddc5ce8a99\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"pc\",\n COUNT(*) AS support,\n AVG(\"fc\") AS avg_response\nFROM \"m10\"\nGROUP BY \"pc\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\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_m10_5a51a54b0fdd9aee\\n-- problem_id: v2p_m10_0ab954ddc5ce8a99\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"pc\\\",\\n COUNT(*) AS support,\\n AVG(\\\"fc\\\") AS avg_response\\nFROM \\\"m10\\\"\\nGROUP BY \\\"pc\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"pc\", \"support\", \"avg_response\"], \"rows\": [{\"pc\": \"10\", \"support\": 122, \"avg_response\": 4.278688524590164}, {\"pc\": \"7\", \"support\": 119, \"avg_response\": 2.9747899159663866}, {\"pc\": \"9\", \"support\": 112, \"avg_response\": 3.544642857142857}, {\"pc\": \"20\", \"support\": 110, \"avg_response\": 9.00909090909091}, {\"pc\": \"14\", \"support\": 104, \"avg_response\": 6.615384615384615}, {\"pc\": \"1\", \"support\": 104, \"avg_response\": 0.0}, {\"pc\": \"0\", \"support\": 101, \"avg_response\": 0.0}, {\"pc\": \"17\", \"support\": 99, \"avg_response\": 7.6767676767676765}, {\"pc\": \"2\", \"support\": 99, \"avg_response\": 0.5151515151515151}, {\"pc\": \"6\", \"support\": 95, \"avg_response\": 2.642105263157895}, {\"pc\": \"4\", \"support\": 95, \"avg_response\": 1.5473684210526315}, {\"pc\": \"3\", \"support\": 93, \"avg_response\": 1.064516129032258}, {\"pc\": \"15\", \"support\": 92, \"avg_response\": 6.663043478260869}, {\"pc\": \"12\", \"support\": 90, \"avg_response\": 5.366666666666666}, {\"pc\": \"8\", \"support\": 89, \"avg_response\": 3.50561797752809}, {\"pc\": \"16\", \"support\": 88, \"avg_response\": 7.25}, {\"pc\": \"13\", \"support\": 85, \"avg_response\": 5.364705882352941}, {\"pc\": \"19\", \"support\": 83, \"avg_response\": 8.08433734939759}, {\"pc\": \"18\", \"support\": 82, \"avg_response\": 8.134146341463415}, {\"pc\": \"11\", \"support\": 79, \"avg_response\": 4.822784810126582}, {\"pc\": \"5\", \"support\": 59, \"avg_response\": 2.3389830508474576}], \"row_count_returned\": 21, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.09}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a51a54b0fdd9aee/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a51a54b0fdd9aee/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0560a5323e701fe47484f071360076448defb3e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a51a54b0fdd9aee/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.655452+00:00", + "ended_at": "2026-05-19T16:08:44.657157+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_5a51a54b0fdd9aee", + "problem_id": "v2p_m10_0ab954ddc5ce8a99", + "dataset_id": "m10", + "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=fc, key_col=pc.", + "bindings": { + "key_col": "pc", + "measure_col": "fc", + "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=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_5a51a54b0fdd9aee.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a51a54b0fdd9aee/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a51a54b0fdd9aee/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5a51a54b0fdd9aee/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..909219e0ddc9348bf4475f0c400f4f1a0d1e8e65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10493, "bytes_utf8": 10493, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 350, "bytes_utf8": 350, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15214, "cached_input_tokens": 12032, "output_tokens": 258, "reasoning_output_tokens": 161}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2d1daa0842961153338fb059bd0928d710e1a581 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_5b865946789ab0ea", + "api_calls": 0, + "input_tokens": 15214, + "cached_input_tokens": 12032, + "output_tokens": 258, + "total_tokens": 15472, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15926.01, + "sql_execution_elapsed_ms_total": 1.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2774495a2ceb02d4a992d182173471185c9fcaf0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:31.399115+00:00", + "ended_at": "2026-05-19T15:29:47.325157+00:00", + "elapsed_ms": 15926.01, + "prompt_metrics": { + "chars": 10493, + "bytes_utf8": 10493, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1370, + "bytes_utf8": 1370, + "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": 350, + "bytes_utf8": 350, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15214, + "cached_input_tokens": 12032, + "output_tokens": 258, + "reasoning_output_tokens": 161 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..87c96334eadd760cd61cad5975d8d187d9758cb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=fc, measure_col=m_dep.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "fc", + "measure_col": "m_dep", + "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": 0.7, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e842fab69e51c490e2c8edc8066b5104d12b90bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40db-420e-7451-9a35-6e079eac9eb3"} +{"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 15849. Please try again in 475ms. 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 1995356, Requested 15849. Please try again in 336ms. 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 \\\"fc\\\", SUM(CAST(\\\"m_dep\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col=\\\"fc\\\" and measure_col=\\\"m_dep\\\". CAST to REAL is needed because the SQLite schema stores these fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15214,"cached_input_tokens":12032,"output_tokens":258,"reasoning_output_tokens":161}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c72f939616b404d10b805aec10c4b93c98a9c6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"fc\", SUM(CAST(\"m_dep\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"fc\"\nORDER BY total_measure DESC;","notes":"Used the required Grouped Numeric Sum template with group_col=\"fc\" and measure_col=\"m_dep\". CAST to REAL is needed because the SQLite schema stores these fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5b865946789ab0ea/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7e26b068b3b5d010bd637e84e3ad9cd920f7102d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:30.310037+00:00", + "ended_at": "2026-05-19T16:08:37.453200+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_5ea9030a8a2f9691", + "problem_id": "v2p_m10_e10ade8751679d27", + "dataset_id": "m10", + "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=m_dep, measure_col=battery_power.", + "bindings": { + "group_col": "m_dep", + "measure_col": "battery_power", + "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": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=140" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f9b44bd77f83e62a442c1b9b111cedcb17e5e259 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:33.040304+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": 2728.01, "started_at": "2026-05-19T16:08:30.311385+00:00", "ended_at": "2026-05-19T16:08:33.039424+00:00", "prompt_metrics": {"chars": 10603, "bytes_utf8": 10603, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-f26d-7740-8735-b0bafe91f8c1\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:37.453108+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": 3410.82, "started_at": "2026-05-19T16:08:34.041509+00:00", "ended_at": "2026-05-19T16:08:37.452370+00:00", "prompt_metrics": {"chars": 10603, "bytes_utf8": 10603, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-0105-7650-8346-3945ab6c763f\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d092c2b3ec16b929f5b5b39514d6524643b6fa77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=n_cores, condition_col=touch_screen. +Result preview: [{"n_cores": "2", "condition_rate": 0.5303643724696356}, {"n_cores": "7", "condition_rate": 0.5135135135135135}, {"n_cores": "5", "condition_rate": 0.5121951219512195}, {"n_cores": "3", "condition_rate": 0.5}, {"n_cores": "1", "condition_rate": 0.5}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b944f9925806b7f334c25408b2c371eabb071b26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_6181cadb1490d3f9 +-- problem_id: v2p_m10_540590a01781b8f7 +-- realization_mode: agent +-- source_kind: agent +SELECT "n_cores", + AVG(CASE WHEN "touch_screen" = '0' THEN 1 ELSE 0 END) AS condition_rate +FROM "m10" +GROUP BY "n_cores" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fc457b530ab511d880c756971e8b0e5693e84d34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"n_cores\",\n AVG(CASE WHEN \"touch_screen\" = '0' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m10\"\nGROUP BY \"n_cores\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"n_cores\\\",\\n AVG(CASE WHEN \\\"touch_screen\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"n_cores\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"n_cores\", \"condition_rate\"], \"rows\": [{\"n_cores\": \"2\", \"condition_rate\": 0.5303643724696356}, {\"n_cores\": \"7\", \"condition_rate\": 0.5135135135135135}, {\"n_cores\": \"5\", \"condition_rate\": 0.5121951219512195}, {\"n_cores\": \"3\", \"condition_rate\": 0.5}, {\"n_cores\": \"1\", \"condition_rate\": 0.5}, {\"n_cores\": \"4\", \"condition_rate\": 0.4927007299270073}, {\"n_cores\": \"6\", \"condition_rate\": 0.4652173913043478}, {\"n_cores\": \"8\", \"condition_rate\": 0.4609375}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..981adfc4a81a0ba8746e83cf9e0a79f530eaca0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:59:26.308166+00:00", + "ended_at": "2026-05-19T15:59:35.271447+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_6181cadb1490d3f9", + "problem_id": "v2p_m10_540590a01781b8f7", + "dataset_id": "m10", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=n_cores, condition_col=touch_screen.", + "bindings": { + "group_col": "n_cores", + "condition_col": "touch_screen", + "condition_value": "0", + "positive_value": "1", + "negative_value": "0", + "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": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=96" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_6181cadb1490d3f9.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_6181cadb1490d3f9", + "api_calls": 0, + "input_tokens": 15279, + "cached_input_tokens": 14720, + "output_tokens": 330, + "total_tokens": 15609, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8957.68, + "sql_execution_elapsed_ms_total": 1.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..651ecb92cd960c836bae8337fb72588502e3165d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:35.268763+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": 8957.68, "started_at": "2026-05-19T15:59:26.309537+00:00", "ended_at": "2026-05-19T15:59:35.267247+00:00", "prompt_metrics": {"chars": 10763, "bytes_utf8": 10763, "lines": 351, "estimated_tokens": null}, "response_metrics": {"chars": 433, "bytes_utf8": 433, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15279, "cached_input_tokens": 14720, "output_tokens": 330, "reasoning_output_tokens": 213}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"n_cores\\\",\\n AVG(CASE WHEN \\\"touch_screen\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"n_cores\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with group_col=\\\"n_cores\\\" and condition_col=\\\"touch_screen\\\", treating the bound condition_value as the text literal '0' to match the SQLite schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..76a444e133008210e3dafc7d79369521c7549368 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_6181cadb1490d3f9", + "api_calls": 0, + "input_tokens": 15279, + "cached_input_tokens": 14720, + "output_tokens": 330, + "total_tokens": 15609, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8957.68, + "sql_execution_elapsed_ms_total": 1.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6181cadb1490d3f9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4cebcddd13cb1ae72744673e1a4027bc1149363a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/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=battery_power. +Result preview: [{"empirical_cdf_at_threshold": 0.75}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..83722000f53c2123fa95648f37ed21d64acbb7a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_62114a4c7bf48389 +-- problem_id: v2p_m10_e45baf65a117ea15 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("battery_power" AS REAL) <= 1615.25 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m10"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..24cadce62c38558760613714f0383b632ad0675f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/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(\"battery_power\" AS REAL) <= 1615.25 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m10\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"battery_power\\\" AS REAL) <= 1615.25 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m10\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.75}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.27}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..52322d1c26dbcad3da6c37607478d85c3931e3b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:02:48.522319+00:00", + "ended_at": "2026-05-19T16:02:57.064879+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_62114a4c7bf48389", + "problem_id": "v2p_m10_e45baf65a117ea15", + "dataset_id": "m10", + "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=battery_power.", + "bindings": { + "measure_col": "battery_power", + "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": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=112" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_62114a4c7bf48389.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_62114a4c7bf48389", + "api_calls": 0, + "input_tokens": 15207, + "cached_input_tokens": 14720, + "output_tokens": 282, + "total_tokens": 15489, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8534.78, + "sql_execution_elapsed_ms_total": 1.27, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d021ad4d673a7526cd51caebcd40caa64d46a70a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:02:57.060481+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": 8534.78, "started_at": "2026-05-19T16:02:48.524122+00:00", "ended_at": "2026-05-19T16:02:57.058945+00:00", "prompt_metrics": {"chars": 10460, "bytes_utf8": 10460, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 399, "bytes_utf8": 399, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15207, "cached_input_tokens": 14720, "output_tokens": 282, "reasoning_output_tokens": 172}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"battery_power\\\" AS REAL) <= 1615.25 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m10\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"battery_power\\\" and measure_threshold fixed at 1615.25. CAST to REAL is used because the schema snapshot stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b5da16a9ed71132fe76e4cdc4958539a8ec2cfe7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_62114a4c7bf48389", + "api_calls": 0, + "input_tokens": 15207, + "cached_input_tokens": 14720, + "output_tokens": 282, + "total_tokens": 15489, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8534.78, + "sql_execution_elapsed_ms_total": 1.27, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..77acdca4715a7db531858b64ea3518f23572a323 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=sc_h, condition_col=price_range. +Result preview: [{"sc_h": "8", "condition_rate": 0.2905982905982906}, {"sc_h": "15", "condition_rate": 0.28888888888888886}, {"sc_h": "16", "condition_rate": 0.2867132867132867}, {"sc_h": "5", "condition_rate": 0.27835051546391754}, {"sc_h": "18", "condition_rate": 0.275}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e5878639095de30f540d0399eb7c2c0d89e87734 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_62a6924d02818a09 +-- problem_id: v2p_m10_12761e881f28b0b8 +-- realization_mode: agent +-- source_kind: agent +SELECT "sc_h", + AVG(CASE WHEN "price_range" = '1' THEN 1 ELSE 0 END) AS condition_rate +FROM "m10" +GROUP BY "sc_h" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1816431fff2fd2394d68b9316bddcba00919959c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/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 \"sc_h\",\n AVG(CASE WHEN \"price_range\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m10\"\nGROUP BY \"sc_h\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sc_h\\\",\\n AVG(CASE WHEN \\\"price_range\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"sc_h\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"sc_h\", \"condition_rate\"], \"rows\": [{\"sc_h\": \"8\", \"condition_rate\": 0.2905982905982906}, {\"sc_h\": \"15\", \"condition_rate\": 0.28888888888888886}, {\"sc_h\": \"16\", \"condition_rate\": 0.2867132867132867}, {\"sc_h\": \"5\", \"condition_rate\": 0.27835051546391754}, {\"sc_h\": \"18\", \"condition_rate\": 0.275}, {\"sc_h\": \"12\", \"condition_rate\": 0.27388535031847133}, {\"sc_h\": \"7\", \"condition_rate\": 0.2582781456953642}, {\"sc_h\": \"17\", \"condition_rate\": 0.2538860103626943}, {\"sc_h\": \"11\", \"condition_rate\": 0.24603174603174602}, {\"sc_h\": \"6\", \"condition_rate\": 0.24561403508771928}, {\"sc_h\": \"9\", \"condition_rate\": 0.23387096774193547}, {\"sc_h\": \"10\", \"condition_rate\": 0.224}, {\"sc_h\": \"13\", \"condition_rate\": 0.22137404580152673}, {\"sc_h\": \"14\", \"condition_rate\": 0.1888111888111888}, {\"sc_h\": \"19\", \"condition_rate\": 0.18548387096774194}], \"row_count_returned\": 15, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.93}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ce30c5ddcd55bde407ef2112e621798c5ad24724 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:00:08.841851+00:00", + "ended_at": "2026-05-19T16:00:22.172433+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_62a6924d02818a09", + "problem_id": "v2p_m10_12761e881f28b0b8", + "dataset_id": "m10", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=sc_h, condition_col=price_range.", + "bindings": { + "group_col": "sc_h", + "condition_col": "price_range", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=98" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_62a6924d02818a09.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_62a6924d02818a09", + "api_calls": 0, + "input_tokens": 15278, + "cached_input_tokens": 12032, + "output_tokens": 336, + "total_tokens": 15614, + "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": 12321.82, + "sql_execution_elapsed_ms_total": 1.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fbaae4a398e396e2961e06c43550e7e7520d4441 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:00:11.826912+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": 2982.88, "started_at": "2026-05-19T16:00:08.843169+00:00", "ended_at": "2026-05-19T16:00:11.826082+00:00", "prompt_metrics": {"chars": 10758, "bytes_utf8": 10758, "lines": 351, "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\":\"019e40f7-4bb7-7dd3-a4da-83e7b6fbe02f\"}\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": "2026-05-19T16:00:22.168704+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": 9338.94, "started_at": "2026-05-19T16:00:12.828712+00:00", "ended_at": "2026-05-19T16:00:22.167704+00:00", "prompt_metrics": {"chars": 10758, "bytes_utf8": 10758, "lines": 351, "estimated_tokens": null}, "response_metrics": {"chars": 347, "bytes_utf8": 347, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15278, "cached_input_tokens": 12032, "output_tokens": 336, "reasoning_output_tokens": 235}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sc_h\\\",\\n AVG(CASE WHEN \\\"price_range\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"sc_h\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Computes the share of rows with price_range = '1' within each sc_h group, following the Grouped Condition Rate template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..be5ae47b0e10db246817cbfb0a6770fe589caed3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_62a6924d02818a09", + "api_calls": 0, + "input_tokens": 15278, + "cached_input_tokens": 12032, + "output_tokens": 336, + "total_tokens": 15614, + "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": 12321.82, + "sql_execution_elapsed_ms_total": 1.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d952c757c019f20e1092d49ebd84d12e14a4a32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/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=wifi, measure_col=mobile_wt. +Result preview: [{"wifi": "0", "percentile_measure": 190.0}, {"wifi": "1", "percentile_measure": 188.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8305a9fad560bba98bf8b51f89a715449a89a2b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/generated_sql.sql @@ -0,0 +1,53 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_67a42a28bbb584d1 +-- problem_id: v2p_m10_0375198042d4ffea +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "wifi", + CAST("mobile_wt" AS REAL) AS "mobile_wt", + ROW_NUMBER() OVER ( + PARTITION BY "wifi" + ORDER BY CAST("mobile_wt" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "wifi") AS "cnt" + FROM "m10" + WHERE "wifi" IS NOT NULL + AND "mobile_wt" IS NOT NULL +), +"bounds" AS ( + SELECT + "wifi", + (1.0 + 0.9 * ("cnt" - 1.0)) AS "target_rn", + CAST(1.0 + 0.9 * ("cnt" - 1.0) AS INTEGER) AS "lower_rn", + CAST((1.0 + 0.9 * ("cnt" - 1.0)) + 0.999999999 AS INTEGER) AS "upper_rn" + FROM "ordered" + GROUP BY "wifi", "cnt" +) +SELECT + b."wifi", + CASE + WHEN b."lower_rn" = b."upper_rn" THEN + MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."mobile_wt" END) + ELSE + MAX(CASE WHEN o."rn" = b."lower_rn" THEN o."mobile_wt" END) * (b."upper_rn" - b."target_rn") + + MAX(CASE WHEN o."rn" = b."upper_rn" THEN o."mobile_wt" END) * (b."target_rn" - b."lower_rn") + END AS "percentile_measure" +FROM "bounds" AS b +JOIN "ordered" AS o + ON o."wifi" = b."wifi" +GROUP BY + b."wifi", + b."target_rn", + b."lower_rn", + b."upper_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..85dd04d00e0f6c7cdd05859084d00577e561f101 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/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 \"wifi\",\n CAST(\"mobile_wt\" AS REAL) AS \"mobile_wt\",\n ROW_NUMBER() OVER (\n PARTITION BY \"wifi\"\n ORDER BY CAST(\"mobile_wt\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"wifi\") AS \"cnt\"\n FROM \"m10\"\n WHERE \"wifi\" IS NOT NULL\n AND \"mobile_wt\" IS NOT NULL\n),\n\"bounds\" AS (\n SELECT\n \"wifi\",\n (1.0 + 0.9 * (\"cnt\" - 1.0)) AS \"target_rn\",\n CAST(1.0 + 0.9 * (\"cnt\" - 1.0) AS INTEGER) AS \"lower_rn\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1.0)) + 0.999999999 AS INTEGER) AS \"upper_rn\"\n FROM \"ordered\"\n GROUP BY \"wifi\", \"cnt\"\n)\nSELECT\n b.\"wifi\",\n CASE\n WHEN b.\"lower_rn\" = b.\"upper_rn\" THEN\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"mobile_wt\" END)\n ELSE\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"mobile_wt\" END) * (b.\"upper_rn\" - b.\"target_rn\")\n + MAX(CASE WHEN o.\"rn\" = b.\"upper_rn\" THEN o.\"mobile_wt\" END) * (b.\"target_rn\" - b.\"lower_rn\")\n END AS \"percentile_measure\"\nFROM \"bounds\" AS b\nJOIN \"ordered\" AS o\n ON o.\"wifi\" = b.\"wifi\"\nGROUP BY\n b.\"wifi\",\n b.\"target_rn\",\n b.\"lower_rn\",\n b.\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"wifi\\\",\\n CAST(\\\"mobile_wt\\\" AS REAL) AS \\\"mobile_wt\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"wifi\\\"\\n ORDER BY CAST(\\\"mobile_wt\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"wifi\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"wifi\\\" IS NOT NULL\\n AND \\\"mobile_wt\\\" IS NOT NULL\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"wifi\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1.0)) AS \\\"target_rn\\\",\\n CAST(1.0 + 0.9 * (\\\"cnt\\\" - 1.0) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1.0)) + 0.999999999 AS INTEGER) AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"wifi\\\", \\\"cnt\\\"\\n)\\nSELECT\\n b.\\\"wifi\\\",\\n CASE\\n WHEN b.\\\"lower_rn\\\" = b.\\\"upper_rn\\\" THEN\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"mobile_wt\\\" END)\\n ELSE\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"mobile_wt\\\" END) * (b.\\\"upper_rn\\\" - b.\\\"target_rn\\\")\\n + MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"upper_rn\\\" THEN o.\\\"mobile_wt\\\" END) * (b.\\\"target_rn\\\" - b.\\\"lower_rn\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\" AS b\\nJOIN \\\"ordered\\\" AS o\\n ON o.\\\"wifi\\\" = b.\\\"wifi\\\"\\nGROUP BY\\n b.\\\"wifi\\\",\\n b.\\\"target_rn\\\",\\n b.\\\"lower_rn\\\",\\n b.\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"wifi\", \"percentile_measure\"], \"rows\": [{\"wifi\": \"0\", \"percentile_measure\": 190.0}, {\"wifi\": \"1\", \"percentile_measure\": 188.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.91}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..eaa95ed55aea211a06462b15bb161ba0ac20fffe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:54:12.335952+00:00", + "ended_at": "2026-05-19T15:54:52.791777+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_67a42a28bbb584d1", + "problem_id": "v2p_m10_0375198042d4ffea", + "dataset_id": "m10", + "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=wifi, measure_col=mobile_wt.", + "bindings": { + "group_col": "wifi", + "measure_col": "mobile_wt", + "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": 160.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m10/sql/v2q_m10_67a42a28bbb584d1.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_67a42a28bbb584d1", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 2907, + "total_tokens": 18162, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 40439.57, + "sql_execution_elapsed_ms_total": 10.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..37fb3e245f43d06d166613f010180f362b71f513 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:54:52.778008+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": 40439.57, "started_at": "2026-05-19T15:54:12.336944+00:00", "ended_at": "2026-05-19T15:54:52.776542+00:00", "prompt_metrics": {"chars": 10684, "bytes_utf8": 10684, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 1489, "bytes_utf8": 1489, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15255, "cached_input_tokens": 14720, "output_tokens": 2907, "reasoning_output_tokens": 2382}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"wifi\\\",\\n CAST(\\\"mobile_wt\\\" AS REAL) AS \\\"mobile_wt\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"wifi\\\"\\n ORDER BY CAST(\\\"mobile_wt\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"wifi\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"wifi\\\" IS NOT NULL\\n AND \\\"mobile_wt\\\" IS NOT NULL\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"wifi\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1.0)) AS \\\"target_rn\\\",\\n CAST(1.0 + 0.9 * (\\\"cnt\\\" - 1.0) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1.0)) + 0.999999999 AS INTEGER) AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"wifi\\\", \\\"cnt\\\"\\n)\\nSELECT\\n b.\\\"wifi\\\",\\n CASE\\n WHEN b.\\\"lower_rn\\\" = b.\\\"upper_rn\\\" THEN\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"mobile_wt\\\" END)\\n ELSE\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"mobile_wt\\\" END) * (b.\\\"upper_rn\\\" - b.\\\"target_rn\\\")\\n + MAX(CASE WHEN o."} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a80db8b77cf0547230ce7c22a68154a297c51d58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_67a42a28bbb584d1", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 2907, + "total_tokens": 18162, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 40439.57, + "sql_execution_elapsed_ms_total": 10.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8c313cf89a71bfe090f2450c0c7e11f28f0d678 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=touch_screen, condition_col=four_g. +Result preview: [{"touch_screen": "1", "condition_rate": 0.5298210735586482}, {"touch_screen": "0", "condition_rate": 0.5130784708249497}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8840369d7a0d61d5e3727f7d3afe6129ad744285 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_68f9d8c7d287b032 +-- problem_id: v2p_m10_a43c74dedd34421f +-- realization_mode: agent +-- source_kind: agent +SELECT "touch_screen", + AVG(CASE WHEN "four_g" = '1' THEN 1 ELSE 0 END) AS condition_rate +FROM "m10" +GROUP BY "touch_screen" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d3ce8686b26cec94d1655f16c630c820a683bbeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"touch_screen\",\n AVG(CASE WHEN \"four_g\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m10\"\nGROUP BY \"touch_screen\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"touch_screen\\\",\\n AVG(CASE WHEN \\\"four_g\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"touch_screen\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"touch_screen\", \"condition_rate\"], \"rows\": [{\"touch_screen\": \"1\", \"condition_rate\": 0.5298210735586482}, {\"touch_screen\": \"0\", \"condition_rate\": 0.5130784708249497}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.71}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ae179299a758663c0e2d60c835d646bb22e42365 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:01:20.138331+00:00", + "ended_at": "2026-05-19T16:01:28.953460+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_68f9d8c7d287b032", + "problem_id": "v2p_m10_a43c74dedd34421f", + "dataset_id": "m10", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=touch_screen, condition_col=four_g.", + "bindings": { + "group_col": "touch_screen", + "condition_col": "four_g", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "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": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=102" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_68f9d8c7d287b032.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_68f9d8c7d287b032", + "api_calls": 0, + "input_tokens": 15279, + "cached_input_tokens": 12032, + "output_tokens": 217, + "total_tokens": 15496, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8806.33, + "sql_execution_elapsed_ms_total": 2.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..25dd8472a57607f617fceb1e135819c67de6ef59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:28.947652+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": 8806.33, "started_at": "2026-05-19T16:01:20.139628+00:00", "ended_at": "2026-05-19T16:01:28.946060+00:00", "prompt_metrics": {"chars": 10765, "bytes_utf8": 10765, "lines": 351, "estimated_tokens": null}, "response_metrics": {"chars": 358, "bytes_utf8": 358, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15279, "cached_input_tokens": 12032, "output_tokens": 217, "reasoning_output_tokens": 117}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"touch_screen\\\",\\n AVG(CASE WHEN \\\"four_g\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"touch_screen\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Grouped by \\\"touch_screen\\\" and computed the within-group proportion where \\\"four_g\\\" = '1' using the required template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8b710bb77a0f4983a13ea1c4eff873d8ca1e2802 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_68f9d8c7d287b032", + "api_calls": 0, + "input_tokens": 15279, + "cached_input_tokens": 12032, + "output_tokens": 217, + "total_tokens": 15496, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8806.33, + "sql_execution_elapsed_ms_total": 2.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3228ac7653690a4ba81ee99a37977a467f2521c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:04:57.339743+00:00", + "ended_at": "2026-05-19T16:05:04.644537+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_6c017a98a547bcc6", + "problem_id": "v2p_m10_4e3e78912b876ab1", + "dataset_id": "m10", + "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=four_g.", + "bindings": { + "group_col": "four_g", + "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": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=124" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..931411789337da13fe3cc8347dfcec0750e17b01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:00.413187+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3070.93, "started_at": "2026-05-19T16:04:57.341090+00:00", "ended_at": "2026-05-19T16:05:00.412046+00:00", "prompt_metrics": {"chars": 10495, "bytes_utf8": 10495, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-b296-7401-a25d-ee6d3b50db94\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:04.644447+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": 3228.63, "started_at": "2026-05-19T16:05:01.414785+00:00", "ended_at": "2026-05-19T16:05:04.643460+00:00", "prompt_metrics": {"chars": 10495, "bytes_utf8": 10495, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-c2a0-7610-838f-6f97a5cb5c30\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e9a97cb0f7179594af37682c277e164bddb3f64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/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=touch_screen, measure_col=fc. +Result preview: [{"touch_screen": "0", "group_value": 4348.0}, {"touch_screen": "1", "group_value": 4271.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..643d59a657d420eb72572a8ee19b9f2ab398114c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_6d2a3f2904bf7829 +-- problem_id: v2p_m10_4279d0710549b34b +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "touch_screen", SUM(CAST("fc" AS REAL)) AS group_value + FROM "m10" + GROUP BY "touch_screen" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."touch_screen", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ea5c5c5b5aa4381dc78606d6380110bf94af6b44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/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 \"touch_screen\", SUM(CAST(\"fc\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"touch_screen\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"touch_screen\", 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 \\\"touch_screen\\\", SUM(CAST(\\\"fc\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"touch_screen\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"touch_screen\\\", 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\": [\"touch_screen\", \"group_value\"], \"rows\": [{\"touch_screen\": \"0\", \"group_value\": 4348.0}, {\"touch_screen\": \"1\", \"group_value\": 4271.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.89}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6a52bd2cb87221954097422478731054f5846f50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:45:51.298166+00:00", + "ended_at": "2026-05-19T15:46:06.161837+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_6d2a3f2904bf7829", + "problem_id": "v2p_m10_4279d0710549b34b", + "dataset_id": "m10", + "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=touch_screen, measure_col=fc.", + "bindings": { + "group_col": "touch_screen", + "measure_col": "fc", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m10/sql/v2q_m10_6d2a3f2904bf7829.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_6d2a3f2904bf7829", + "api_calls": 0, + "input_tokens": 15351, + "cached_input_tokens": 14720, + "output_tokens": 470, + "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": 14857.54, + "sql_execution_elapsed_ms_total": 1.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..07e13565d8f34248c16736d073a8a09a764e60fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:06.157971+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": 14857.54, "started_at": "2026-05-19T15:45:51.299180+00:00", "ended_at": "2026-05-19T15:46:06.156752+00:00", "prompt_metrics": {"chars": 11059, "bytes_utf8": 11059, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 616, "bytes_utf8": 616, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15351, "cached_input_tokens": 14720, "output_tokens": 470, "reasoning_output_tokens": 306}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"touch_screen\\\", SUM(CAST(\\\"fc\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"touch_screen\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"touch_screen\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"touch_screen\\\" and measure_col=\\\"fc\\\". CAST(\\\"fc\\\" AS REAL) is used because the schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6ad6a80bacdfa2e9c83618d07cb8c6ee11a22ab9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_6d2a3f2904bf7829", + "api_calls": 0, + "input_tokens": 15351, + "cached_input_tokens": 14720, + "output_tokens": 470, + "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": 14857.54, + "sql_execution_elapsed_ms_total": 1.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..92e90f28294ad87e5f3edf9609cbfe09a001e5b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/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=touch_screen. +Result preview: [{"touch_screen": "1", "row_count": 1006}, {"touch_screen": "0", "row_count": 994}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..61921d48ea7dd1b1db5c3657d4b96311a3e6ea5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_6d7e0431c6538e6d +-- problem_id: v2p_m10_b40dcf5db6ea2149 +-- realization_mode: agent +-- source_kind: agent +SELECT "touch_screen", COUNT(*) AS "row_count" +FROM "m10" +GROUP BY "touch_screen" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3cc0ff410e13ddc88832bd99a6d5ba8534c67e96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/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 \"touch_screen\", COUNT(*) AS \"row_count\"\nFROM \"m10\"\nGROUP BY \"touch_screen\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"touch_screen\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"touch_screen\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"touch_screen\", \"row_count\"], \"rows\": [{\"touch_screen\": \"1\", \"row_count\": 1006}, {\"touch_screen\": \"0\", \"row_count\": 994}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.88}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..937e82c873a97e009546226701d2c46c9de2c70b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:31:59.365829+00:00", + "ended_at": "2026-05-19T15:32:07.435098+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_6d7e0431c6538e6d", + "problem_id": "v2p_m10_b40dcf5db6ea2149", + "dataset_id": "m10", + "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=touch_screen.", + "bindings": { + "group_col": "touch_screen", + "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": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m10/sql/v2q_m10_6d7e0431c6538e6d.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_6d7e0431c6538e6d", + "api_calls": 0, + "input_tokens": 15190, + "cached_input_tokens": 12032, + "output_tokens": 286, + "total_tokens": 15476, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8064.73, + "sql_execution_elapsed_ms_total": 0.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2922dc648ff0c66d1e72a08dfb8c5da3c4c4bdf6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:07.433076+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": 8064.73, "started_at": "2026-05-19T15:31:59.367607+00:00", "ended_at": "2026-05-19T15:32:07.432364+00:00", "prompt_metrics": {"chars": 10428, "bytes_utf8": 10428, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 282, "bytes_utf8": 282, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15190, "cached_input_tokens": 12032, "output_tokens": 286, "reasoning_output_tokens": 208}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"touch_screen\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"touch_screen\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the provided grouped count template on \\\"m10\\\" with group_col bound to \\\"touch_screen\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..45b8afa7422839fce53c7f492224b04cce6a7023 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_6d7e0431c6538e6d", + "api_calls": 0, + "input_tokens": 15190, + "cached_input_tokens": 12032, + "output_tokens": 286, + "total_tokens": 15476, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8064.73, + "sql_execution_elapsed_ms_total": 0.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ad75bee06d4a225895035a26e21e82aec0ac9fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=three_g, condition_col=dual_sim. +Result preview: [{"three_g": "1", "condition_rate": 0.4944189100459619}, {"three_g": "0", "condition_rate": 0.4779874213836478}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7a838a28d08134d805508666695a9eff9cf5f72b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_6e7cf8db5765dfa8 +-- problem_id: v2p_m10_5097d5e0de927fa6 +-- realization_mode: agent +-- source_kind: agent +SELECT "three_g", + AVG(CASE WHEN "dual_sim" = '0' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m10" +GROUP BY "three_g" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b31ae9672c1c1ade2e9fab93bb0bab967511e1ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/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 \"three_g\",\n AVG(CASE WHEN \"dual_sim\" = '0' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m10\"\nGROUP BY \"three_g\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"three_g\\\",\\n AVG(CASE WHEN \\\"dual_sim\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"three_g\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"three_g\", \"condition_rate\"], \"rows\": [{\"three_g\": \"1\", \"condition_rate\": 0.4944189100459619}, {\"three_g\": \"0\", \"condition_rate\": 0.4779874213836478}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.5}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1ccfe688bdc56b37b14191a81dcf977029e3db72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:01:06.669526+00:00", + "ended_at": "2026-05-19T16:01:20.137606+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_6e7cf8db5765dfa8", + "problem_id": "v2p_m10_5097d5e0de927fa6", + "dataset_id": "m10", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=three_g, condition_col=dual_sim.", + "bindings": { + "group_col": "three_g", + "condition_col": "dual_sim", + "condition_value": "0", + "positive_value": "1", + "negative_value": "0", + "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": 0.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=101" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_6e7cf8db5765dfa8.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_6e7cf8db5765dfa8", + "api_calls": 0, + "input_tokens": 15279, + "cached_input_tokens": 12032, + "output_tokens": 357, + "total_tokens": 15636, + "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": 12457.43, + "sql_execution_elapsed_ms_total": 1.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a36378d9e94f6eca5acf07ded7b6cbcf8988c813 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:01:09.595354+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": 2921.54, "started_at": "2026-05-19T16:01:06.672950+00:00", "ended_at": "2026-05-19T16:01:09.594537+00:00", "prompt_metrics": {"chars": 10750, "bytes_utf8": 10750, "lines": 351, "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\":\"019e40f8-2d9c-7fe0-afdd-5b8959509267\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:01:20.134470+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": 9535.89, "started_at": "2026-05-19T16:01:10.597567+00:00", "ended_at": "2026-05-19T16:01:20.133505+00:00", "prompt_metrics": {"chars": 10750, "bytes_utf8": 10750, "lines": 351, "estimated_tokens": null}, "response_metrics": {"chars": 405, "bytes_utf8": 405, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15279, "cached_input_tokens": 12032, "output_tokens": 357, "reasoning_output_tokens": 243}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"three_g\\\",\\n AVG(CASE WHEN \\\"dual_sim\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"three_g\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col=\\\"three_g\\\" and condition_col=\\\"dual_sim\\\", measuring the within-group proportion of rows where dual_sim = '0'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..92d9c57a85f37f6969f61d395c555e5bef4c8146 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_6e7cf8db5765dfa8", + "api_calls": 0, + "input_tokens": 15279, + "cached_input_tokens": 12032, + "output_tokens": 357, + "total_tokens": 15636, + "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": 12457.43, + "sql_execution_elapsed_ms_total": 1.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_702a7dccc3b47393/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_702a7dccc3b47393/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..39beed9dbbeba58b66fedf9d497939d2a586aad2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_702a7dccc3b47393/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "1", "support": 1019, "support_share": 0.5095, "support_rank": 1}, {"value_label": "0", "support": 981, "support_share": 0.4905, "support_rank": 2}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_702a7dccc3b47393/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_702a7dccc3b47393/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8d8f789dbab322f9b730c2d5b2f59629657698d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_702a7dccc3b47393/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_702a7dccc3b47393 +-- problem_id: v2p_m10_22b09b59d6beba3e +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "dual_sim" AS value_label, COUNT(*) AS support + FROM "m10" + GROUP BY "dual_sim" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_702a7dccc3b47393/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_702a7dccc3b47393/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cf48d701cff67948fa46b172b1e77f2b634e36ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_702a7dccc3b47393/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m10_702a7dccc3b47393\n-- problem_id: v2p_m10_22b09b59d6beba3e\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"dual_sim\" AS value_label, COUNT(*) AS support\n FROM \"m10\"\n GROUP BY \"dual_sim\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m10_702a7dccc3b47393\\n-- problem_id: v2p_m10_22b09b59d6beba3e\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"dual_sim\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m10\\\"\\n GROUP BY \\\"dual_sim\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"1\", \"support\": 1019, \"support_share\": 0.5095, \"support_rank\": 1}, {\"value_label\": \"0\", \"support\": 981, \"support_share\": 0.4905, \"support_rank\": 2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.84}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_702a7dccc3b47393/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_702a7dccc3b47393/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7d9e7e6a5212472c7c48f602b9954c9153e61421 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_702a7dccc3b47393/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.619152+00:00", + "ended_at": "2026-05-19T16:08:44.620600+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_702a7dccc3b47393", + "problem_id": "v2p_m10_22b09b59d6beba3e", + "dataset_id": "m10", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=dual_sim.", + "bindings": { + "group_col": "dual_sim" + }, + "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=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_702a7dccc3b47393.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_702a7dccc3b47393/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_702a7dccc3b47393/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_702a7dccc3b47393/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..80e571d52653da1d5973aa1a18350eef6c74ccf6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/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=wifi, condition_col=n_cores. +Result preview: [{"wifi": "1", "condition_rate": 0.14299802761341224}, {"wifi": "0", "condition_rate": 0.1308316430020284}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..33780907fbd824d896615003de71c35e0f186f6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_712ba364d491a7c8 +-- problem_id: v2p_m10_31234dc27eb5f437 +-- realization_mode: agent +-- source_kind: agent +SELECT "wifi", + AVG(CASE WHEN "n_cores" = '4' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m10" +GROUP BY "wifi" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e540f7714e0377f4bb22207660afc1c66bf22802 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"wifi\",\n AVG(CASE WHEN \"n_cores\" = '4' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m10\"\nGROUP BY \"wifi\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"wifi\\\",\\n AVG(CASE WHEN \\\"n_cores\\\" = '4' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"wifi\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"wifi\", \"condition_rate\"], \"rows\": [{\"wifi\": \"1\", \"condition_rate\": 0.14299802761341224}, {\"wifi\": \"0\", \"condition_rate\": 0.1308316430020284}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.11}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..602dae12d1ea5aabe7b0f8152fbf61129e6083ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:01:38.619379+00:00", + "ended_at": "2026-05-19T16:01:47.790776+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_712ba364d491a7c8", + "problem_id": "v2p_m10_31234dc27eb5f437", + "dataset_id": "m10", + "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=wifi, condition_col=n_cores.", + "bindings": { + "group_col": "wifi", + "condition_col": "n_cores", + "condition_value": "4", + "positive_value": "4", + "negative_value": "7", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m10/sql/v2q_m10_712ba364d491a7c8.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_712ba364d491a7c8", + "api_calls": 0, + "input_tokens": 15277, + "cached_input_tokens": 12032, + "output_tokens": 275, + "total_tokens": 15552, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9166.63, + "sql_execution_elapsed_ms_total": 1.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b7384a475334cc472d378d5a632fc89591a606fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:47.788493+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": 9166.63, "started_at": "2026-05-19T16:01:38.621023+00:00", "ended_at": "2026-05-19T16:01:47.787685+00:00", "prompt_metrics": {"chars": 10735, "bytes_utf8": 10735, "lines": 351, "estimated_tokens": null}, "response_metrics": {"chars": 410, "bytes_utf8": 410, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15277, "cached_input_tokens": 12032, "output_tokens": 275, "reasoning_output_tokens": 161}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"wifi\\\",\\n AVG(CASE WHEN \\\"n_cores\\\" = '4' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"wifi\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with group_col=\\\"wifi\\\" and condition_col=\\\"n_cores\\\", using condition_value='4' based on the provided bindings and SQLite TEXT schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d940a62a81760ad3085e3cecec843c9d73cc108f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_712ba364d491a7c8", + "api_calls": 0, + "input_tokens": 15277, + "cached_input_tokens": 12032, + "output_tokens": 275, + "total_tokens": 15552, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9166.63, + "sql_execution_elapsed_ms_total": 1.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..28d17026fffc032c426319fde449c2280d994b6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:05:12.069682+00:00", + "ended_at": "2026-05-19T16:05:19.591612+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_75d99c94f7efc8aa", + "problem_id": "v2p_m10_62f0374168ca5352", + "dataset_id": "m10", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=m_dep.", + "bindings": { + "group_col": "m_dep", + "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": 2.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=125" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..06626260f510872033e0ec63f2cb1d940d835f93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:05:15.512675+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": 3441.09, "started_at": "2026-05-19T16:05:12.070844+00:00", "ended_at": "2026-05-19T16:05:15.511960+00:00", "prompt_metrics": {"chars": 10493, "bytes_utf8": 10493, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-ec00-7a80-810f-ba8e2f98110d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:19.591485+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": 3076.22, "started_at": "2026-05-19T16:05:16.514205+00:00", "ended_at": "2026-05-19T16:05:19.590473+00:00", "prompt_metrics": {"chars": 10493, "bytes_utf8": 10493, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-fd6d-7931-9c7e-ed3133f4f8db\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fc824d5e06e34b3224aacb49948d402acc9c11c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/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=fc, measure_col=px_width. +Result preview: [{"fc": "0", "group_value": 597863.0}, {"fc": "1", "group_value": 305508.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2e38d36a7e3bd0a6b4596ebf4ff1340e69485759 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_75e5cde690c51d76 +-- problem_id: v2p_m10_7ad7ed8b6acb6534 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "fc" AS "fc", SUM(CAST("px_width" AS REAL)) AS group_value + FROM "m10" + GROUP BY "fc" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."fc", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f2e9f10f9cf51458c3a58f9f3edf11f295c73c05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/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 \"fc\" AS \"fc\", SUM(CAST(\"px_width\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"fc\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"fc\", 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 \\\"fc\\\" AS \\\"fc\\\", SUM(CAST(\\\"px_width\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"fc\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"fc\\\", 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\": [\"fc\", \"group_value\"], \"rows\": [{\"fc\": \"0\", \"group_value\": 597863.0}, {\"fc\": \"1\", \"group_value\": 305508.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.96}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c7039955cb43e8f9704fa246155adb69a5e5ab9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:48:20.215109+00:00", + "ended_at": "2026-05-19T15:48:31.163397+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_75e5cde690c51d76", + "problem_id": "v2p_m10_7ad7ed8b6acb6534", + "dataset_id": "m10", + "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=fc, measure_col=px_width.", + "bindings": { + "group_col": "fc", + "measure_col": "px_width", + "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": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m10/sql/v2q_m10_75e5cde690c51d76.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_75e5cde690c51d76", + "api_calls": 0, + "input_tokens": 15352, + "cached_input_tokens": 14720, + "output_tokens": 501, + "total_tokens": 15853, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10941.94, + "sql_execution_elapsed_ms_total": 1.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..91cd3ded4c8d46625923a210364ec66f67522054 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:31.159474+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": 10941.94, "started_at": "2026-05-19T15:48:20.216511+00:00", "ended_at": "2026-05-19T15:48:31.158479+00:00", "prompt_metrics": {"chars": 11054, "bytes_utf8": 11054, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 630, "bytes_utf8": 630, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15352, "cached_input_tokens": 14720, "output_tokens": 501, "reasoning_output_tokens": 333}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"fc\\\" AS \\\"fc\\\", SUM(CAST(\\\"px_width\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"fc\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"fc\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the required Relative-to-Total Extreme Threshold template with group_col=\\\"fc\\\" and measure_col=\\\"px_width\\\". CAST to REAL is included because the schema snapshot stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..939affad919ddbeeeda134837ff390a3041a8ea8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_75e5cde690c51d76", + "api_calls": 0, + "input_tokens": 15352, + "cached_input_tokens": 14720, + "output_tokens": 501, + "total_tokens": 15853, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10941.94, + "sql_execution_elapsed_ms_total": 1.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7aea523e47ba7c3a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7aea523e47ba7c3a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a5caa9af44feb689d88f2deb77d9466be5fd8ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7aea523e47ba7c3a/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"int_memory": "27", "support": 47, "avg_response": 3.4893617021276597}, {"int_memory": "16", "support": 45, "avg_response": 5.155555555555556}, {"int_memory": "14", "support": 45, "avg_response": 5.111111111111111}, {"int_memory": "2", "support": 42, "avg_response": 6.928571428571429}, {"int_memory": "57", "support": 42, "avg_response": 4.309523809523809}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7aea523e47ba7c3a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7aea523e47ba7c3a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9d7648e329b49c92c0b577bc28894b15daee5a34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7aea523e47ba7c3a/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_7aea523e47ba7c3a +-- problem_id: v2p_m10_f6d331d00b86a2f1 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "int_memory", + COUNT(*) AS support, + AVG("fc") AS avg_response +FROM "m10" +GROUP BY "int_memory" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7aea523e47ba7c3a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7aea523e47ba7c3a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aeb835a2c81312d14636715ff6ccb88e5267e120 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7aea523e47ba7c3a/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\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_m10_7aea523e47ba7c3a\n-- problem_id: v2p_m10_f6d331d00b86a2f1\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"int_memory\",\n COUNT(*) AS support,\n AVG(\"fc\") AS avg_response\nFROM \"m10\"\nGROUP BY \"int_memory\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\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_m10_7aea523e47ba7c3a\\n-- problem_id: v2p_m10_f6d331d00b86a2f1\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"int_memory\\\",\\n COUNT(*) AS support,\\n AVG(\\\"fc\\\") AS avg_response\\nFROM \\\"m10\\\"\\nGROUP BY \\\"int_memory\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"int_memory\", \"support\", \"avg_response\"], \"rows\": [{\"int_memory\": \"27\", \"support\": 47, \"avg_response\": 3.4893617021276597}, {\"int_memory\": \"16\", \"support\": 45, \"avg_response\": 5.155555555555556}, {\"int_memory\": \"14\", \"support\": 45, \"avg_response\": 5.111111111111111}, {\"int_memory\": \"2\", \"support\": 42, \"avg_response\": 6.928571428571429}, {\"int_memory\": \"57\", \"support\": 42, \"avg_response\": 4.309523809523809}, {\"int_memory\": \"42\", \"support\": 40, \"avg_response\": 4.425}, {\"int_memory\": \"7\", \"support\": 40, \"avg_response\": 4.075}, {\"int_memory\": \"44\", \"support\": 39, \"avg_response\": 5.615384615384615}, {\"int_memory\": \"30\", \"support\": 39, \"avg_response\": 3.641025641025641}, {\"int_memory\": \"6\", \"support\": 37, \"avg_response\": 5.135135135135135}, {\"int_memory\": \"8\", \"support\": 37, \"avg_response\": 4.081081081081081}, {\"int_memory\": \"12\", \"support\": 36, \"avg_response\": 4.555555555555555}, {\"int_memory\": \"23\", \"support\": 36, \"avg_response\": 4.388888888888889}, {\"int_memory\": \"5\", \"support\": 36, \"avg_response\": 4.083333333333333}, {\"int_memory\": \"21\", \"support\": 36, \"avg_response\": 3.861111111111111}, {\"int_memory\": \"10\", \"support\": 36, \"avg_response\": 3.6944444444444446}, {\"int_memory\": \"58\", \"support\": 36, \"avg_response\": 3.2777777777777777}, {\"int_memory\": \"33\", \"support\": 36, \"avg_response\": 3.1944444444444446}, {\"int_memory\": \"52\", \"support\": 35, \"avg_response\": 5.142857142857143}, {\"int_memory\": \"50\", \"support\": 35, \"avg_response\": 4.2}, {\"int_memory\": \"41\", \"support\": 35, \"avg_response\": 4.057142857142857}, {\"int_memory\": \"9\", \"support\": 35, \"avg_response\": 3.8285714285714287}, {\"int_memory\": \"11\", \"support\": 34, \"avg_response\": 4.676470588235294}, {\"int_memory\": \"46\", \"support\": 34, \"avg_response\": 4.411764705882353}, {\"int_memory\": \"19\", \"support\": 34, \"avg_response\": 3.911764705882353}, {\"int_memory\": \"20\", \"support\": 34, \"avg_response\": 3.6176470588235294}, {\"int_memory\": \"35\", \"support\": 33, \"avg_response\": 5.2727272727272725}, {\"int_memory\": \"45\", \"support\": 33, \"avg_response\": 4.7272727272727275}, {\"int_memory\": \"34\", \"support\": 32, \"avg_response\": 5.0625}, {\"int_memory\": \"49\", \"support\": 32, \"avg_response\": 4.8125}, {\"int_memory\": \"54\", \"support\": 32, \"avg_response\": 3.59375}, {\"int_memory\": \"40\", \"support\": 32, \"avg_response\": 2.5625}, {\"int_memory\": \"13\", \"support\": 31, \"avg_response\": 4.903225806451613}, {\"int_memory\": \"51\", \"support\": 31, \"avg_response\": 4.451612903225806}, {\"int_memory\": \"32\", \"support\": 31, \"avg_response\": 4.32258064516129}, {\"int_memory\": \"64\", \"support\": 31, \"avg_response\": 3.3870967741935485}, {\"int_memory\": \"24\", \"support\": 30, \"avg_response\": 3.966666666666667}, {\"int_memory\": \"63\", \"support\": 30, \"avg_response\": 3.566666666666667}, {\"int_memory\": \"39\", \"support\": 30, \"avg_response\": 2.933333333333333}, {\"int_memory\": \"55\", \"support\": 29, \"avg_response\": 5.206896551724138}, {\"int_memory\": \"17\", \"support\": 29, \"avg_response\": 4.758620689655173}, {\"int_memory\": \"26\", \"support\": 29, \"avg_response\": 4.758620689655173}, {\"int_memory\": \"31\", \"support\": 29, \"avg_response\": 3.7241379310344827}, {\"int_memory\": \"18\", \"support\": 28, \"avg_response\": 3.9285714285714284}, {\"int_memory\": \"53\", \"support\": 28, \"avg_response\": 3.9285714285714284}, {\"int_memory\": \"60\", \"support\": 27, \"avg_response\": 5.222222222222222}, {\"int_memory\": \"56\", \"support\": 27, \"avg_response\": 5.148148148148148}, {\"int_memory\": \"61\", \"support\": 27, \"avg_response\": 4.962962962962963}, {\"int_memory\": \"36\", \"support\": 27, \"avg_response\": 4.296296296296297}, {\"int_memory\": \"15\", \"support\": 27, \"avg_response\": 4.074074074074074}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 1.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7aea523e47ba7c3a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7aea523e47ba7c3a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..018f9198ca4737352a8031a3ac767c99b31e0472 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7aea523e47ba7c3a/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.648324+00:00", + "ended_at": "2026-05-19T16:08:44.650246+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_7aea523e47ba7c3a", + "problem_id": "v2p_m10_f6d331d00b86a2f1", + "dataset_id": "m10", + "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=fc, key_col=int_memory.", + "bindings": { + "key_col": "int_memory", + "measure_col": "fc", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_7aea523e47ba7c3a.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7aea523e47ba7c3a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7aea523e47ba7c3a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7aea523e47ba7c3a/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ebb2136ac7c86f10001441425c8c74a6c0f14411 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/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=four_g, group_col_2=pc. +Result preview: [{"four_g": "0", "pc": "20", "row_count": 58}, {"four_g": "1", "pc": "17", "row_count": 57}, {"four_g": "1", "pc": "20", "row_count": 52}, {"four_g": "1", "pc": "18", "row_count": 49}, {"four_g": "0", "pc": "16", "row_count": 48}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..504331dbb476f11301a2651a3d8e3486a3e7f1d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_7b5fd64bf22ac097 +-- problem_id: v2p_m10_33cba4f78bb00975 +-- realization_mode: agent +-- source_kind: agent +SELECT "four_g", "pc", COUNT(*) AS "row_count" +FROM "m10" +WHERE CAST("pc" AS REAL) >= 15.0 +GROUP BY "four_g", "pc" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2e25ddc804839a8c4d771567dd7f7545227544cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/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 \"four_g\", \"pc\", COUNT(*) AS \"row_count\"\nFROM \"m10\"\nWHERE CAST(\"pc\" AS REAL) >= 15.0\nGROUP BY \"four_g\", \"pc\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"four_g\\\", \\\"pc\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"pc\\\" AS REAL) >= 15.0\\nGROUP BY \\\"four_g\\\", \\\"pc\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"four_g\", \"pc\", \"row_count\"], \"rows\": [{\"four_g\": \"0\", \"pc\": \"20\", \"row_count\": 58}, {\"four_g\": \"1\", \"pc\": \"17\", \"row_count\": 57}, {\"four_g\": \"1\", \"pc\": \"20\", \"row_count\": 52}, {\"four_g\": \"1\", \"pc\": \"18\", \"row_count\": 49}, {\"four_g\": \"0\", \"pc\": \"16\", \"row_count\": 48}, {\"four_g\": \"0\", \"pc\": \"15\", \"row_count\": 46}, {\"four_g\": \"1\", \"pc\": \"15\", \"row_count\": 46}, {\"four_g\": \"1\", \"pc\": \"19\", \"row_count\": 43}, {\"four_g\": \"0\", \"pc\": \"17\", \"row_count\": 42}, {\"four_g\": \"0\", \"pc\": \"19\", \"row_count\": 40}, {\"four_g\": \"1\", \"pc\": \"16\", \"row_count\": 40}, {\"four_g\": \"0\", \"pc\": \"18\", \"row_count\": 33}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.1}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e0e91bfd35af0570cb28dfb14935581a084b8823 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:41:42.428097+00:00", + "ended_at": "2026-05-19T15:42:01.580369+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_7b5fd64bf22ac097", + "problem_id": "v2p_m10_33cba4f78bb00975", + "dataset_id": "m10", + "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=four_g, group_col_2=pc.", + "bindings": { + "group_col": "four_g", + "group_col_2": "pc", + "predicate_col": "pc", + "predicate_op": ">=", + "predicate_value": 15.0, + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=52" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_7b5fd64bf22ac097.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_7b5fd64bf22ac097", + "api_calls": 0, + "input_tokens": 15309, + "cached_input_tokens": 14720, + "output_tokens": 482, + "total_tokens": 15791, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19143.73, + "sql_execution_elapsed_ms_total": 2.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2cb95967ac8268a6c6d8b8039a069dc51c6f2338 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:01.575469+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": 19143.73, "started_at": "2026-05-19T15:41:42.430003+00:00", "ended_at": "2026-05-19T15:42:01.573775+00:00", "prompt_metrics": {"chars": 10799, "bytes_utf8": 10799, "lines": 352, "estimated_tokens": null}, "response_metrics": {"chars": 419, "bytes_utf8": 419, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15309, "cached_input_tokens": 14720, "output_tokens": 482, "reasoning_output_tokens": 361}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"four_g\\\", \\\"pc\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"pc\\\" AS REAL) >= 15.0\\nGROUP BY \\\"four_g\\\", \\\"pc\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the filtered two-dimensional group count template with group_col=\\\"four_g\\\", group_col_2=\\\"pc\\\", and a numeric filter on \\\"pc\\\" using CAST because the schema stores columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ed3da018f660eeeb93dd6c79409f153b6b984cc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_7b5fd64bf22ac097", + "api_calls": 0, + "input_tokens": 15309, + "cached_input_tokens": 14720, + "output_tokens": 482, + "total_tokens": 15791, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19143.73, + "sql_execution_elapsed_ms_total": 2.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f73d7c9047c8fd9de22ec323992f7429ccf9cb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/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=m_dep. +Result preview: [{"empirical_cdf_at_threshold": 0.8495}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9ef4f55f952f81eb5a2fcd5c95fa7f7a726e3499 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_7bf5ca21e297634f +-- problem_id: v2p_m10_79b87c6ecb2b6cab +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("m_dep" AS REAL) <= 0.8 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m10"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4f3cd2ee2f03711af2208ef3762c090a68161148 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"m_dep\" AS REAL) <= 0.8 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m10\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"m_dep\\\" AS REAL) <= 0.8 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m10\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.8495}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.64}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b965b239e24ffa261e12cbb725b7eb8913a53261 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:03:13.157244+00:00", + "ended_at": "2026-05-19T16:03:24.853880+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_7bf5ca21e297634f", + "problem_id": "v2p_m10_79b87c6ecb2b6cab", + "dataset_id": "m10", + "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=m_dep.", + "bindings": { + "measure_col": "m_dep", + "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": 0.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=115" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_7bf5ca21e297634f.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_7bf5ca21e297634f", + "api_calls": 0, + "input_tokens": 15205, + "cached_input_tokens": 12288, + "output_tokens": 252, + "total_tokens": 15457, + "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": 10690.99, + "sql_execution_elapsed_ms_total": 0.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8d3b58ef4fb92a026318d790ecc7d0f5db737d9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:03:16.477021+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": 3317.96, "started_at": "2026-05-19T16:03:13.158280+00:00", "ended_at": "2026-05-19T16:03:16.476258+00:00", "prompt_metrics": {"chars": 10439, "bytes_utf8": 10439, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-1ba0-75c0-a4a4-38d1a1df535d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:03:24.852015+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": 7373.03, "started_at": "2026-05-19T16:03:17.478173+00:00", "ended_at": "2026-05-19T16:03:24.851231+00:00", "prompt_metrics": {"chars": 10439, "bytes_utf8": 10439, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 354, "bytes_utf8": 354, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15205, "cached_input_tokens": 12288, "output_tokens": 252, "reasoning_output_tokens": 150}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"m_dep\\\" AS REAL) <= 0.8 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m10\\\";\",\"notes\":\"Applied the provided Threshold Rarity CDF template with measure_col=\\\"m_dep\\\" and measure_threshold=0.8, casting from TEXT to REAL for correct numeric comparison in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..99b5d035ac83f5384c715cec419b175adea15edb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_7bf5ca21e297634f", + "api_calls": 0, + "input_tokens": 15205, + "cached_input_tokens": 12288, + "output_tokens": 252, + "total_tokens": 15457, + "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": 10690.99, + "sql_execution_elapsed_ms_total": 0.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c22bf20120e6239/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c22bf20120e6239/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a853cebb0225e04c96c287b572ea9dc7c74cc02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c22bf20120e6239/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"fc": "0", "support": 474, "avg_response": 0.4818565400843882}, {"fc": "1", "support": 245, "avg_response": 0.536734693877551}, {"fc": "2", "support": 189, "avg_response": 0.46402116402116406}, {"fc": "3", "support": 170, "avg_response": 0.5105882352941177}, {"fc": "5", "support": 139, "avg_response": 0.5223021582733812}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c22bf20120e6239/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c22bf20120e6239/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0d9be2e94b4180ac3bc3b6c276fb800650fb81a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c22bf20120e6239/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_7c22bf20120e6239 +-- problem_id: v2p_m10_a67355f8d32d8bf2 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "fc", + COUNT(*) AS support, + AVG("m_dep") AS avg_response +FROM "m10" +GROUP BY "fc" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c22bf20120e6239/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c22bf20120e6239/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2e45f5310ab85d6c62fde54ddb1851dee875d406 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c22bf20120e6239/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\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_m10_7c22bf20120e6239\n-- problem_id: v2p_m10_a67355f8d32d8bf2\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"fc\",\n COUNT(*) AS support,\n AVG(\"m_dep\") AS avg_response\nFROM \"m10\"\nGROUP BY \"fc\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\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_m10_7c22bf20120e6239\\n-- problem_id: v2p_m10_a67355f8d32d8bf2\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"fc\\\",\\n COUNT(*) AS support,\\n AVG(\\\"m_dep\\\") AS avg_response\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"fc\", \"support\", \"avg_response\"], \"rows\": [{\"fc\": \"0\", \"support\": 474, \"avg_response\": 0.4818565400843882}, {\"fc\": \"1\", \"support\": 245, \"avg_response\": 0.536734693877551}, {\"fc\": \"2\", \"support\": 189, \"avg_response\": 0.46402116402116406}, {\"fc\": \"3\", \"support\": 170, \"avg_response\": 0.5105882352941177}, {\"fc\": \"5\", \"support\": 139, \"avg_response\": 0.5223021582733812}, {\"fc\": \"4\", \"support\": 133, \"avg_response\": 0.5443609022556392}, {\"fc\": \"6\", \"support\": 112, \"avg_response\": 0.5375}, {\"fc\": \"7\", \"support\": 100, \"avg_response\": 0.45799999999999996}, {\"fc\": \"9\", \"support\": 78, \"avg_response\": 0.47435897435897434}, {\"fc\": \"8\", \"support\": 77, \"avg_response\": 0.5311688311688312}, {\"fc\": \"10\", \"support\": 62, \"avg_response\": 0.4806451612903226}, {\"fc\": \"11\", \"support\": 51, \"avg_response\": 0.5196078431372549}, {\"fc\": \"12\", \"support\": 45, \"avg_response\": 0.4955555555555556}, {\"fc\": \"13\", \"support\": 40, \"avg_response\": 0.5625}, {\"fc\": \"16\", \"support\": 24, \"avg_response\": 0.44166666666666665}, {\"fc\": \"15\", \"support\": 23, \"avg_response\": 0.4434782608695652}, {\"fc\": \"14\", \"support\": 20, \"avg_response\": 0.515}, {\"fc\": \"18\", \"support\": 11, \"avg_response\": 0.4727272727272727}, {\"fc\": \"17\", \"support\": 6, \"avg_response\": 0.4166666666666667}], \"row_count_returned\": 19, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.06}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c22bf20120e6239/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c22bf20120e6239/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..66edfd936c07c458aa613426bc4ad1ac976fb723 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c22bf20120e6239/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.646221+00:00", + "ended_at": "2026-05-19T16:08:44.647884+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_7c22bf20120e6239", + "problem_id": "v2p_m10_a67355f8d32d8bf2", + "dataset_id": "m10", + "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=m_dep, key_col=fc.", + "bindings": { + "key_col": "fc", + "measure_col": "m_dep", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_7c22bf20120e6239.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c22bf20120e6239/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c22bf20120e6239/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c22bf20120e6239/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..74bdf36280dfb8d8152c83dbf7942e8d82dce0b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/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=price_range, measure_col=clock_speed. +Result preview: [{"price_range": "3", "int_memory": "44", "total_measure": 28.4, "share_within_group": 3.735858984477769}, {"price_range": "3", "int_memory": "16", "total_measure": 26.1, "share_within_group": 3.4333070244672452}, {"price_range": "1", "int_memory": "7", "total_measure": 25.4, "share_within_group": 3.412602445250571}, {"price_range": "3", "int_memory": "9", "total_measure": 25.1, "share_within_group": 3.3017626940278872}, {"price_range": "2", "int_memory": "56", "total_measure": 25.1, "share_within_group": 3.2814747025755002}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..10bbae592928f1dd6cba0e38ddea0145eae5cf53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_7d386cc2d66ebe92 +-- problem_id: v2p_m10_c1f39cc6be6fe6f1 +-- realization_mode: agent +-- source_kind: agent +SELECT "price_range", "int_memory", + SUM(CAST("clock_speed" AS REAL)) AS total_measure, + SUM(CAST("clock_speed" AS REAL)) * 100.0 / SUM(SUM(CAST("clock_speed" AS REAL))) OVER (PARTITION BY "price_range") AS share_within_group +FROM "m10" +GROUP BY "price_range", "int_memory" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fc9ecc48283e516007661913714cca4d7b8c5c0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/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 \"price_range\", \"int_memory\",\n SUM(CAST(\"clock_speed\" AS REAL)) AS total_measure,\n SUM(CAST(\"clock_speed\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"clock_speed\" AS REAL))) OVER (PARTITION BY \"price_range\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"price_range\", \"int_memory\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"price_range\\\", \\\"int_memory\\\",\\n SUM(CAST(\\\"clock_speed\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"clock_speed\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"clock_speed\\\" AS REAL))) OVER (PARTITION BY \\\"price_range\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"price_range\\\", \\\"int_memory\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"price_range\", \"int_memory\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"price_range\": \"3\", \"int_memory\": \"44\", \"total_measure\": 28.4, \"share_within_group\": 3.735858984477769}, {\"price_range\": \"3\", \"int_memory\": \"16\", \"total_measure\": 26.1, \"share_within_group\": 3.4333070244672452}, {\"price_range\": \"1\", \"int_memory\": \"7\", \"total_measure\": 25.4, \"share_within_group\": 3.412602445250571}, {\"price_range\": \"3\", \"int_memory\": \"9\", \"total_measure\": 25.1, \"share_within_group\": 3.3017626940278872}, {\"price_range\": \"2\", \"int_memory\": \"56\", \"total_measure\": 25.1, \"share_within_group\": 3.2814747025755002}, {\"price_range\": \"3\", \"int_memory\": \"24\", \"total_measure\": 23.400000000000002, \"share_within_group\": 3.0781373322809786}, {\"price_range\": \"1\", \"int_memory\": \"57\", \"total_measure\": 22.7, \"share_within_group\": 3.049845492408975}, {\"price_range\": \"0\", \"int_memory\": \"20\", \"total_measure\": 23.5, \"share_within_group\": 3.0318668558895627}, {\"price_range\": \"2\", \"int_memory\": \"2\", \"total_measure\": 23.0, \"share_within_group\": 3.0069290103281476}, {\"price_range\": \"1\", \"int_memory\": \"41\", \"total_measure\": 21.8, \"share_within_group\": 2.928926508128443}, {\"price_range\": \"0\", \"int_memory\": \"27\", \"total_measure\": 22.5, \"share_within_group\": 2.902851245000645}, {\"price_range\": \"2\", \"int_memory\": \"10\", \"total_measure\": 22.1, \"share_within_group\": 2.889266570793568}, {\"price_range\": \"0\", \"int_memory\": \"14\", \"total_measure\": 22.1, \"share_within_group\": 2.851245000645078}, {\"price_range\": \"3\", \"int_memory\": \"45\", \"total_measure\": 20.8, \"share_within_group\": 2.7361220731386475}, {\"price_range\": \"3\", \"int_memory\": \"43\", \"total_measure\": 20.3, \"share_within_group\": 2.6703499079189683}, {\"price_range\": \"1\", \"int_memory\": \"44\", \"total_measure\": 19.8, \"share_within_group\": 2.660217654171705}, {\"price_range\": \"0\", \"int_memory\": \"19\", \"total_measure\": 20.6, \"share_within_group\": 2.6577215843117017}, {\"price_range\": \"1\", \"int_memory\": \"45\", \"total_measure\": 19.6, \"share_within_group\": 2.6333467687760317}, {\"price_range\": \"0\", \"int_memory\": \"57\", \"total_measure\": 20.2, \"share_within_group\": 2.6061153399561348}, {\"price_range\": \"2\", \"int_memory\": \"58\", \"total_measure\": 19.9, \"share_within_group\": 2.6016472741534837}, {\"price_range\": \"0\", \"int_memory\": \"30\", \"total_measure\": 20.0, \"share_within_group\": 2.580312217778351}, {\"price_range\": \"1\", \"int_memory\": \"12\", \"total_measure\": 19.2, \"share_within_group\": 2.5796049979846836}, {\"price_range\": \"0\", \"int_memory\": \"8\", \"total_measure\": 19.6, \"share_within_group\": 2.5287059734227846}, {\"price_range\": \"2\", \"int_memory\": \"30\", \"total_measure\": 19.3, \"share_within_group\": 2.5232056477970977}, {\"price_range\": \"3\", \"int_memory\": \"61\", \"total_measure\": 19.0, \"share_within_group\": 2.499342278347803}, {\"price_range\": \"0\", \"int_memory\": \"21\", \"total_measure\": 19.1, \"share_within_group\": 2.4641981679783256}, {\"price_range\": \"3\", \"int_memory\": \"42\", \"total_measure\": 18.6, \"share_within_group\": 2.44672454617206}, {\"price_range\": \"3\", \"int_memory\": \"35\", \"total_measure\": 18.599999999999998, \"share_within_group\": 2.4467245461720597}, {\"price_range\": \"1\", \"int_memory\": \"64\", \"total_measure\": 18.2, \"share_within_group\": 2.445250571006315}, {\"price_range\": \"1\", \"int_memory\": \"14\", \"total_measure\": 17.9, \"share_within_group\": 2.4049442429128036}, {\"price_range\": \"2\", \"int_memory\": \"44\", \"total_measure\": 18.3, \"share_within_group\": 2.392469603869787}, {\"price_range\": \"1\", \"int_memory\": \"30\", \"total_measure\": 17.7, \"share_within_group\": 2.3780733575171302}, {\"price_range\": \"3\", \"int_memory\": \"57\", \"total_measure\": 18.0, \"share_within_group\": 2.367797947908445}, {\"price_range\": \"2\", \"int_memory\": \"15\", \"total_measure\": 17.9, \"share_within_group\": 2.3401751862988625}, {\"price_range\": \"2\", \"int_memory\": \"6\", \"total_measure\": 17.9, \"share_within_group\": 2.3401751862988625}, {\"price_range\": \"3\", \"int_memory\": \"64\", \"total_measure\": 17.7, \"share_within_group\": 2.3283346487766376}, {\"price_range\": \"3\", \"int_memory\": \"49\", \"total_measure\": 17.6, \"share_within_group\": 2.315180215732702}, {\"price_range\": \"2\", \"int_memory\": \"54\", \"total_measure\": 17.7, \"share_within_group\": 2.3140279775134007}, {\"price_range\": \"2\", \"int_memory\": \"7\", \"total_measure\": 17.6, \"share_within_group\": 2.30095437312067}, {\"price_range\": \"1\", \"int_memory\": \"16\", \"total_measure\": 17.1, \"share_within_group\": 2.297460701330109}, {\"price_range\": \"1\", \"int_memory\": \"27\", \"total_measure\": 17.1, \"share_within_group\": 2.297460701330109}, {\"price_range\": \"0\", \"int_memory\": \"18\", \"total_measure\": 17.6, \"share_within_group\": 2.2706747516449495}, {\"price_range\": \"0\", \"int_memory\": \"60\", \"total_measure\": 17.6, \"share_within_group\": 2.2706747516449495}, {\"price_range\": \"2\", \"int_memory\": \"16\", \"total_measure\": 17.3, \"share_within_group\": 2.2617335599424764}, {\"price_range\": \"1\", \"int_memory\": \"39\", \"total_measure\": 16.8, \"share_within_group\": 2.2571543732365984}, {\"price_range\": \"3\", \"int_memory\": \"40\", \"total_measure\": 16.8, \"share_within_group\": 2.209944751381215}, {\"price_range\": \"0\", \"int_memory\": \"11\", \"total_measure\": 17.1, \"share_within_group\": 2.2061669462004905}, {\"price_range\": \"0\", \"int_memory\": \"32\", \"total_measure\": 17.1, \"share_within_group\": 2.2061669462004905}, {\"price_range\": \"1\", \"int_memory\": \"28\", \"total_measure\": 16.4, \"share_within_group\": 2.2034126024452503}, {\"price_range\": \"1\", \"int_memory\": \"2\", \"total_measure\": 16.3, \"share_within_group\": 2.189977159747414}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.11}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c6c73557e84dda4e08c55e347d9a3cc728a94dff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:36:28.981821+00:00", + "ended_at": "2026-05-19T15:36:44.434037+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_7d386cc2d66ebe92", + "problem_id": "v2p_m10_c1f39cc6be6fe6f1", + "dataset_id": "m10", + "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=price_range, measure_col=clock_speed.", + "bindings": { + "group_col": "price_range", + "measure_col": "clock_speed", + "item_col": "int_memory", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=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_b/m10/sql/v2q_m10_7d386cc2d66ebe92.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_7d386cc2d66ebe92", + "api_calls": 0, + "input_tokens": 15336, + "cached_input_tokens": 12032, + "output_tokens": 634, + "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": 15441.18, + "sql_execution_elapsed_ms_total": 5.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a0b36b9b01b6aa8c2fdb20c6724c9cf848d3246b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:44.426047+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": 15441.18, "started_at": "2026-05-19T15:36:28.984006+00:00", "ended_at": "2026-05-19T15:36:44.425230+00:00", "prompt_metrics": {"chars": 10935, "bytes_utf8": 10935, "lines": 350, "estimated_tokens": null}, "response_metrics": {"chars": 627, "bytes_utf8": 627, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15336, "cached_input_tokens": 12032, "output_tokens": 634, "reasoning_output_tokens": 466}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"price_range\\\", \\\"int_memory\\\",\\n SUM(CAST(\\\"clock_speed\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"clock_speed\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"clock_speed\\\" AS REAL))) OVER (PARTITION BY \\\"price_range\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"price_range\\\", \\\"int_memory\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided Within-Group Share of Total template with group_col=\\\"price_range\\\", item_col=\\\"int_memory\\\", and measure_col=\\\"clock_speed\\\". Cast \\\"clock_speed\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c32ec721ce5493e52bd9a02cf5c008a433b62ea7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_7d386cc2d66ebe92", + "api_calls": 0, + "input_tokens": 15336, + "cached_input_tokens": 12032, + "output_tokens": 634, + "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": 15441.18, + "sql_execution_elapsed_ms_total": 5.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d148adce3ce6648e4966f69bbc55a0a79fe0e67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/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=pc, measure_col=px_height. +Result preview: [{"pc": "7", "total_measure": 83099.0}, {"pc": "9", "total_measure": 78680.0}, {"pc": "10", "total_measure": 73507.0}, {"pc": "0", "total_measure": 69810.0}, {"pc": "20", "total_measure": 67281.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..69600eab943fb04a236dd8164efe9e4bb284070f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_80e1f60de1210247 +-- problem_id: v2p_m10_49e9aee7e224b720 +-- realization_mode: agent +-- source_kind: agent +SELECT "pc", SUM(CAST("px_height" AS REAL)) AS total_measure +FROM "m10" +GROUP BY "pc" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4827b066d400546c7d0edb8f10058af64cc77233 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/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 \"pc\", SUM(CAST(\"px_height\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"pc\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"pc\\\", SUM(CAST(\\\"px_height\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"pc\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"pc\", \"total_measure\"], \"rows\": [{\"pc\": \"7\", \"total_measure\": 83099.0}, {\"pc\": \"9\", \"total_measure\": 78680.0}, {\"pc\": \"10\", \"total_measure\": 73507.0}, {\"pc\": \"0\", \"total_measure\": 69810.0}, {\"pc\": \"20\", \"total_measure\": 67281.0}, {\"pc\": \"2\", \"total_measure\": 66252.0}, {\"pc\": \"6\", \"total_measure\": 65061.0}, {\"pc\": \"15\", \"total_measure\": 64830.0}, {\"pc\": \"4\", \"total_measure\": 64150.0}, {\"pc\": \"8\", \"total_measure\": 63157.0}, {\"pc\": \"14\", \"total_measure\": 62572.0}, {\"pc\": \"1\", \"total_measure\": 60011.0}, {\"pc\": \"17\", \"total_measure\": 57018.0}, {\"pc\": \"18\", \"total_measure\": 56927.0}, {\"pc\": \"19\", \"total_measure\": 56502.0}, {\"pc\": \"16\", \"total_measure\": 55785.0}, {\"pc\": \"3\", \"total_measure\": 54433.0}, {\"pc\": \"12\", \"total_measure\": 51455.0}, {\"pc\": \"13\", \"total_measure\": 49892.0}, {\"pc\": \"11\", \"total_measure\": 48829.0}, {\"pc\": \"5\", \"total_measure\": 40965.0}], \"row_count_returned\": 21, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.35}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..09bf237fe62f201be905d1690bf5799081c1c142 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:31:04.024678+00:00", + "ended_at": "2026-05-19T15:31:14.072524+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_80e1f60de1210247", + "problem_id": "v2p_m10_49e9aee7e224b720", + "dataset_id": "m10", + "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=pc, measure_col=px_height.", + "bindings": { + "group_col": "pc", + "measure_col": "px_height", + "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": 947.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=7" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_80e1f60de1210247.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_80e1f60de1210247", + "api_calls": 0, + "input_tokens": 15215, + "cached_input_tokens": 14720, + "output_tokens": 371, + "total_tokens": 15586, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10041.81, + "sql_execution_elapsed_ms_total": 2.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cf63ab89db82cb29278888f9dfc2b2b9953f18db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:14.068755+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": 10041.81, "started_at": "2026-05-19T15:31:04.025916+00:00", "ended_at": "2026-05-19T15:31:14.067748+00:00", "prompt_metrics": {"chars": 10501, "bytes_utf8": 10501, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 369, "bytes_utf8": 369, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15215, "cached_input_tokens": 14720, "output_tokens": 371, "reasoning_output_tokens": 272}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"pc\\\", SUM(CAST(\\\"px_height\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"pc\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the requested grouped numeric sum template with group_col=\\\"pc\\\" and measure_col=\\\"px_height\\\". \\\"px_height\\\" is cast to REAL because the schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..26a440a4314056c3cdc4a84efb603bb476a6f3af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_80e1f60de1210247", + "api_calls": 0, + "input_tokens": 15215, + "cached_input_tokens": 14720, + "output_tokens": 371, + "total_tokens": 15586, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10041.81, + "sql_execution_elapsed_ms_total": 2.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d148adce3ce6648e4966f69bbc55a0a79fe0e67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/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=pc, measure_col=px_height. +Result preview: [{"pc": "7", "total_measure": 83099.0}, {"pc": "9", "total_measure": 78680.0}, {"pc": "10", "total_measure": 73507.0}, {"pc": "0", "total_measure": 69810.0}, {"pc": "20", "total_measure": 67281.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..23be63e1ed6891bff2fd51388bf6b213c7c5fa94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_80f1bbeb89df70b2 +-- problem_id: v2p_m10_623284e999fa3490 +-- realization_mode: agent +-- source_kind: agent +SELECT "pc", SUM(CAST("px_height" AS REAL)) AS total_measure +FROM "m10" +GROUP BY "pc" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3f5ebd38312a19fc6de4afeec39e72242e93f6c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/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 \"pc\", SUM(CAST(\"px_height\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"pc\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"pc\\\", SUM(CAST(\\\"px_height\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"pc\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"pc\", \"total_measure\"], \"rows\": [{\"pc\": \"7\", \"total_measure\": 83099.0}, {\"pc\": \"9\", \"total_measure\": 78680.0}, {\"pc\": \"10\", \"total_measure\": 73507.0}, {\"pc\": \"0\", \"total_measure\": 69810.0}, {\"pc\": \"20\", \"total_measure\": 67281.0}, {\"pc\": \"2\", \"total_measure\": 66252.0}, {\"pc\": \"6\", \"total_measure\": 65061.0}, {\"pc\": \"15\", \"total_measure\": 64830.0}, {\"pc\": \"4\", \"total_measure\": 64150.0}, {\"pc\": \"8\", \"total_measure\": 63157.0}, {\"pc\": \"14\", \"total_measure\": 62572.0}, {\"pc\": \"1\", \"total_measure\": 60011.0}, {\"pc\": \"17\", \"total_measure\": 57018.0}, {\"pc\": \"18\", \"total_measure\": 56927.0}, {\"pc\": \"19\", \"total_measure\": 56502.0}, {\"pc\": \"16\", \"total_measure\": 55785.0}, {\"pc\": \"3\", \"total_measure\": 54433.0}, {\"pc\": \"12\", \"total_measure\": 51455.0}, {\"pc\": \"13\", \"total_measure\": 49892.0}, {\"pc\": \"11\", \"total_measure\": 48829.0}, {\"pc\": \"5\", \"total_measure\": 40965.0}], \"row_count_returned\": 21, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.31}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b336ed597d1759d9c82cb3bbb355d6667021ab48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:31:14.073106+00:00", + "ended_at": "2026-05-19T15:31:30.911927+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_80f1bbeb89df70b2", + "problem_id": "v2p_m10_623284e999fa3490", + "dataset_id": "m10", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=pc, measure_col=px_height.", + "bindings": { + "group_col": "pc", + "measure_col": "px_height", + "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": 781.34, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=7" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_80f1bbeb89df70b2.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_80f1bbeb89df70b2", + "api_calls": 0, + "input_tokens": 15215, + "cached_input_tokens": 14720, + "output_tokens": 385, + "total_tokens": 15600, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16834.41, + "sql_execution_elapsed_ms_total": 1.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ac6b225afd922c1ba255527be4415279e6c4e810 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:30.909415+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": 16834.41, "started_at": "2026-05-19T15:31:14.074142+00:00", "ended_at": "2026-05-19T15:31:30.908573+00:00", "prompt_metrics": {"chars": 10504, "bytes_utf8": 10504, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 373, "bytes_utf8": 373, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15215, "cached_input_tokens": 14720, "output_tokens": 385, "reasoning_output_tokens": 286}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"pc\\\", SUM(CAST(\\\"px_height\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"pc\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col=\\\"pc\\\" and measure_col=\\\"px_height\\\". CAST to REAL is included because the schema stores numeric-looking fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7fde0d4f89b9c46691d162e5e12a284d67f8dfec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_80f1bbeb89df70b2", + "api_calls": 0, + "input_tokens": 15215, + "cached_input_tokens": 14720, + "output_tokens": 385, + "total_tokens": 15600, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16834.41, + "sql_execution_elapsed_ms_total": 1.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..054302bad5a4dd16b5436462bbad7a67c75ced2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/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=sc_w, measure_col=battery_power. +Result preview: [{"sc_w": "14", "percentile_measure": 1959.2}, {"sc_w": "2", "percentile_measure": 1950.25}, {"sc_w": "0", "percentile_measure": 1946.5499999999997}, {"sc_w": "7", "percentile_measure": 1946.35}, {"sc_w": "12", "percentile_measure": 1944.9}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3dbd77141320e4c8016355c80a40dc669a43354f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/generated_sql.sql @@ -0,0 +1,59 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_817b99077e97f88d +-- problem_id: v2p_m10_b58c625d805bd8df +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "sc_w", + CAST("battery_power" AS REAL) AS "battery_power_value", + ROW_NUMBER() OVER ( + PARTITION BY "sc_w" + ORDER BY CAST("battery_power" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "sc_w") AS "cnt" + FROM "m10" +), +"positions" AS ( + SELECT + "sc_w", + "battery_power_value", + "rn", + "cnt", + (1.0 + 0.95 * ("cnt" - 1)) AS "pos", + CAST((1.0 + 0.95 * ("cnt" - 1)) AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + 0.95 * ("cnt" - 1)) = CAST((1.0 + 0.95 * ("cnt" - 1)) AS INTEGER) + THEN CAST((1.0 + 0.95 * ("cnt" - 1)) AS INTEGER) + ELSE CAST((1.0 + 0.95 * ("cnt" - 1)) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ranked" +), +"percentiles" AS ( + SELECT + "sc_w", + MAX(CASE WHEN "rn" = "lower_rn" THEN "battery_power_value" END) AS "lower_val", + MAX(CASE WHEN "rn" = "upper_rn" THEN "battery_power_value" END) AS "upper_val", + MAX("pos") AS "pos", + MAX("lower_rn") AS "lower_rn", + MAX("cnt") AS "cnt" + FROM "positions" + GROUP BY "sc_w" +) +SELECT + "sc_w", + CASE + WHEN "lower_rn" = "pos" THEN "lower_val" + ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val") + END AS "percentile_measure" +FROM "percentiles" +WHERE "cnt" >= 5 +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7e344e136dee2dc004a66335d9a8eb3693d7ad79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"sc_w\",\n CAST(\"battery_power\" AS REAL) AS \"battery_power_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"sc_w\"\n ORDER BY CAST(\"battery_power\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"sc_w\") AS \"cnt\"\n FROM \"m10\"\n),\n\"positions\" AS (\n SELECT\n \"sc_w\",\n \"battery_power_value\",\n \"rn\",\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 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\"percentiles\" AS (\n SELECT\n \"sc_w\",\n MAX(CASE WHEN \"rn\" = \"lower_rn\" THEN \"battery_power_value\" END) AS \"lower_val\",\n MAX(CASE WHEN \"rn\" = \"upper_rn\" THEN \"battery_power_value\" END) AS \"upper_val\",\n MAX(\"pos\") AS \"pos\",\n MAX(\"lower_rn\") AS \"lower_rn\",\n MAX(\"cnt\") AS \"cnt\"\n FROM \"positions\"\n GROUP BY \"sc_w\"\n)\nSELECT\n \"sc_w\",\n CASE\n WHEN \"lower_rn\" = \"pos\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"percentiles\"\nWHERE \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"sc_w\\\",\\n CAST(\\\"battery_power\\\" AS REAL) AS \\\"battery_power_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"sc_w\\\"\\n ORDER BY CAST(\\\"battery_power\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"sc_w\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"sc_w\\\",\\n \\\"battery_power_value\\\",\\n \\\"rn\\\",\\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 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\\\"percentiles\\\" AS (\\n SELECT\\n \\\"sc_w\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lower_rn\\\" THEN \\\"battery_power_value\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"upper_rn\\\" THEN \\\"battery_power_value\\\" END) AS \\\"upper_val\\\",\\n MAX(\\\"pos\\\") AS \\\"pos\\\",\\n MAX(\\\"lower_rn\\\") AS \\\"lower_rn\\\",\\n MAX(\\\"cnt\\\") AS \\\"cnt\\\"\\n FROM \\\"positions\\\"\\n GROUP BY \\\"sc_w\\\"\\n)\\nSELECT\\n \\\"sc_w\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"pos\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nWHERE \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"sc_w\", \"percentile_measure\"], \"rows\": [{\"sc_w\": \"14\", \"percentile_measure\": 1959.2}, {\"sc_w\": \"2\", \"percentile_measure\": 1950.25}, {\"sc_w\": \"0\", \"percentile_measure\": 1946.5499999999997}, {\"sc_w\": \"7\", \"percentile_measure\": 1946.35}, {\"sc_w\": \"12\", \"percentile_measure\": 1944.9}, {\"sc_w\": \"9\", \"percentile_measure\": 1939.1999999999998}, {\"sc_w\": \"10\", \"percentile_measure\": 1938.7}, {\"sc_w\": \"1\", \"percentile_measure\": 1935.1}, {\"sc_w\": \"3\", \"percentile_measure\": 1924.1}, {\"sc_w\": \"8\", \"percentile_measure\": 1909.2}, {\"sc_w\": \"5\", \"percentile_measure\": 1905.0}, {\"sc_w\": \"4\", \"percentile_measure\": 1904.5}, {\"sc_w\": \"11\", \"percentile_measure\": 1898.7}, {\"sc_w\": \"6\", \"percentile_measure\": 1888.3}, {\"sc_w\": \"15\", \"percentile_measure\": 1876.0}, {\"sc_w\": \"13\", \"percentile_measure\": 1872.5999999999995}, {\"sc_w\": \"18\", \"percentile_measure\": 1864.75}, {\"sc_w\": \"17\", \"percentile_measure\": 1842.3}, {\"sc_w\": \"16\", \"percentile_measure\": 1745.0}], \"row_count_returned\": 19, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4e78d26d48dfa2e750a0d79d832a41ab019ce2ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:49:59.789399+00:00", + "ended_at": "2026-05-19T15:50:18.767565+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_817b99077e97f88d", + "problem_id": "v2p_m10_b58c625d805bd8df", + "dataset_id": "m10", + "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=sc_w, measure_col=battery_power.", + "bindings": { + "group_col": "sc_w", + "measure_col": "battery_power", + "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": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=84" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "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_b/m10/sql/v2q_m10_817b99077e97f88d.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_817b99077e97f88d", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 1122, + "total_tokens": 16377, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18968.55, + "sql_execution_elapsed_ms_total": 6.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dfc97539b4cca075c8ac6a2b1432b6668ff83244 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:18.759828+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": 18968.55, "started_at": "2026-05-19T15:49:59.790400+00:00", "ended_at": "2026-05-19T15:50:18.758980+00:00", "prompt_metrics": {"chars": 10694, "bytes_utf8": 10694, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 1863, "bytes_utf8": 1863, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15255, "cached_input_tokens": 14720, "output_tokens": 1122, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"sc_w\\\",\\n CAST(\\\"battery_power\\\" AS REAL) AS \\\"battery_power_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"sc_w\\\"\\n ORDER BY CAST(\\\"battery_power\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"sc_w\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"sc_w\\\",\\n \\\"battery_power_value\\\",\\n \\\"rn\\\",\\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 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\\\"percentiles\\\" AS (\\n SELECT\\n \\\"sc_w\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lower_rn\\\" THEN \\\"battery_power_value\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WH"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7b707bfbf6bedce470c4d0578f33643000de6ab5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_817b99077e97f88d", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 1122, + "total_tokens": 16377, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18968.55, + "sql_execution_elapsed_ms_total": 6.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..59f77f91dbbfc443fb9f7c7a44c5ac0cc118369b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10505, "bytes_utf8": 10505, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 342, "bytes_utf8": 342, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15217, "cached_input_tokens": 12032, "output_tokens": 294, "reasoning_output_tokens": 199}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1a6b61335e458a4ebdff2feec683ea75a7f44e18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_82072d0b3332abc6", + "api_calls": 0, + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 294, + "total_tokens": 15511, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9473.95, + "sql_execution_elapsed_ms_total": 2.27, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c45b917d1e7ddd835d74263f5e69342bad6d9535 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:49.885151+00:00", + "ended_at": "2026-05-19T15:31:59.359139+00:00", + "elapsed_ms": 9473.95, + "prompt_metrics": { + "chars": 10505, + "bytes_utf8": 10505, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 696, + "bytes_utf8": 696, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 342, + "bytes_utf8": 342, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 294, + "reasoning_output_tokens": 199 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..765d6ad4cdbe35db0d9cc4258f9c9071e3c1f55c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sc_h, measure_col=px_width.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "sc_h", + "measure_col": "px_width", + "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": 1477.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ce0b4e8516d9f37acd7f91acc01c5f5db3d16c7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-5f23-7620-b3c3-d9443a2a9518"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"sc_h\\\", SUM(CAST(\\\"px_width\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"sc_h\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the provided grouped numeric sum template with group_col=\\\"sc_h\\\" and measure_col=\\\"px_width\\\". CAST was added because the schema stores columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15217,"cached_input_tokens":12032,"output_tokens":294,"reasoning_output_tokens":199}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7aac713be43da4e8cea8b78a498750d3e201f211 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"sc_h\", SUM(CAST(\"px_width\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"sc_h\"\nORDER BY total_measure DESC;","notes":"Used the provided grouped numeric sum template with group_col=\"sc_h\" and measure_col=\"px_width\". CAST was added because the schema stores columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_82072d0b3332abc6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2c4894d44df9d9ca72538c497695ab41bfcc1099 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10691, "bytes_utf8": 10691, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1709, "bytes_utf8": 1709, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15256, "cached_input_tokens": 12032, "output_tokens": 1112, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0ede3f563cdbd3e2f94c8f81baf4a91f9b4524a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_8279a6f4597e6158", + "api_calls": 0, + "input_tokens": 15256, + "cached_input_tokens": 12032, + "output_tokens": 1112, + "total_tokens": 16368, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20191.91, + "sql_execution_elapsed_ms_total": 8.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7991b50cd3fdb7a3cde8d746d724d52fcb63c2d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:31.377281+00:00", + "ended_at": "2026-05-19T15:58:51.569229+00:00", + "elapsed_ms": 20191.91, + "prompt_metrics": { + "chars": 10691, + "bytes_utf8": 10691, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2312, + "bytes_utf8": 2312, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1709, + "bytes_utf8": 1709, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15256, + "cached_input_tokens": 12032, + "output_tokens": 1112, + "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_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f016858526bb7ed6f14390860d6f904c78934f57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=dual_sim, measure_col=px_width.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "dual_sim", + "measure_col": "px_width", + "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": 1477.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d56eeaf2eeb7b71f53317c9754e6c79dbbbcd1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-cee1-7972-9eb6-5687ac554ece"} +{"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 \\\"dual_sim\\\",\\n CAST(\\\"px_width\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"dual_sim\\\"\\n ORDER BY CAST(\\\"px_width\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"dual_sim\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n),\\n\\\"pos\\\" AS (\\n SELECT DISTINCT\\n \\\"dual_sim\\\",\\n 1.0 + 0.9 * (\\\"cnt\\\" - 1) AS \\\"target_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) + 1\\n ELSE CAST(1.0 + 0.9 * (\\\"cnt\\\" - 1) AS INTEGER)\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"dual_sim\\\",\\n p.\\\"target_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_val\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN r.\\\"measure_value\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"pos\\\" AS p\\n JOIN \\\"ranked\\\" AS r\\n ON r.\\\"dual_sim\\\" = p.\\\"dual_sim\\\"\\n GROUP BY\\n p.\\\"dual_sim\\\",\\n p.\\\"target_pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"dual_sim\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"target_pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates PERCENTILE_CONT(0.9) for SQLite using window functions and linear interpolation within each \\\"dual_sim\\\" group, with \\\"px_width\\\" cast from TEXT to REAL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15256,"cached_input_tokens":12032,"output_tokens":1112,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..31c79b463868938dd0df0bc919bc25b167d6612f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"dual_sim\",\n CAST(\"px_width\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"dual_sim\"\n ORDER BY CAST(\"px_width\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"dual_sim\") AS \"cnt\"\n FROM \"m10\"\n),\n\"pos\" AS (\n SELECT DISTINCT\n \"dual_sim\",\n 1.0 + 0.9 * (\"cnt\" - 1) AS \"target_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) + 1\n ELSE CAST(1.0 + 0.9 * (\"cnt\" - 1) AS INTEGER)\n END AS \"upper_rn\"\n FROM \"ranked\"\n),\n\"bounds\" AS (\n SELECT\n p.\"dual_sim\",\n p.\"target_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_val\",\n MAX(CASE WHEN r.\"rn\" = p.\"upper_rn\" THEN r.\"measure_value\" END) AS \"upper_val\"\n FROM \"pos\" AS p\n JOIN \"ranked\" AS r\n ON r.\"dual_sim\" = p.\"dual_sim\"\n GROUP BY\n p.\"dual_sim\",\n p.\"target_pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"dual_sim\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"target_pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates PERCENTILE_CONT(0.9) for SQLite using window functions and linear interpolation within each \"dual_sim\" group, with \"px_width\" cast from TEXT to REAL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8279a6f4597e6158/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1eeb453f8aecd623f972f45784a847b827c5a5f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10429, "bytes_utf8": 10429, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 257, "bytes_utf8": 257, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15191, "cached_input_tokens": 14720, "output_tokens": 197, "reasoning_output_tokens": 129}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..79e46ba2e93433961785c22c06470df3875d3c46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_838d2fabec7bd70a", + "api_calls": 0, + "input_tokens": 15191, + "cached_input_tokens": 14720, + "output_tokens": 197, + "total_tokens": 15388, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 6933.56, + "sql_execution_elapsed_ms_total": 1.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b1ed098baf821921d85f632a069b0c3b3263246b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:32:31.987074+00:00", + "ended_at": "2026-05-19T15:32:38.920669+00:00", + "elapsed_ms": 6933.56, + "prompt_metrics": { + "chars": 10429, + "bytes_utf8": 10429, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 603, + "bytes_utf8": 603, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 257, + "bytes_utf8": 257, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15191, + "cached_input_tokens": 14720, + "output_tokens": 197, + "reasoning_output_tokens": 129 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c9eca2dcf705255352aa17820c63201e066e69c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=price_range.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "price_range", + "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": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..28879e5b43da7383791b3e7729db898afb82d3b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-038c-7371-bb18-08d356486a1b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"price_range\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nGROUP BY \\\"price_range\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Grouped count by \\\"price_range\\\" to inspect subgroup size distribution/stability.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15191,"cached_input_tokens":14720,"output_tokens":197,"reasoning_output_tokens":129}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f8fc6b945886d3970ae63b69b4a446a35ee6c2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"price_range\", COUNT(*) AS row_count\nFROM \"m10\"\nGROUP BY \"price_range\"\nORDER BY row_count DESC;","notes":"Grouped count by \"price_range\" to inspect subgroup size distribution/stability."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_838d2fabec7bd70a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..35a4190d7f28244f287e44d85f0f8d690e0fcd5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:27.175196+00:00", + "ended_at": "2026-05-19T16:05:30.301662+00:00", + "elapsed_ms": 3126.44, + "returncode": 1, + "prompt_metrics": { + "chars": 10500, + "bytes_utf8": 10500, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..572f4ebfe8a435d0b9c1662dd9cd31b62e56bc97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:31.303381+00:00", + "ended_at": "2026-05-19T16:05:34.591668+00:00", + "elapsed_ms": 3288.26, + "returncode": 1, + "prompt_metrics": { + "chars": 10500, + "bytes_utf8": 10500, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a6698d9506a6ba4cb096b1d9e39679e8a73da51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=n_cores.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "n_cores", + "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": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a6698d9506a6ba4cb096b1d9e39679e8a73da51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=n_cores.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "n_cores", + "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": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f454d7f075e65f6908916efaab4bc04ad5bc1da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-270a-7981-ac66-221e24594ff5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..04b2ad30057e70d7b6503c2d20f2e2176327447a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-270a-7981-ac66-221e24594ff5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b280864d507db3f5b54a3122e25c3abf9ef0b59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-372d-7f61-9dfe-51d307009d7c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a9c370241d1bee1d1e8491ed991e63691a44cc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-372d-7f61-9dfe-51d307009d7c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_878e72938bbba419/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..046c7b07d5bfa05b52d6c116307ee29d17716629 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/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=blue. +Result preview: [{"blue": "1", "support": 990}, {"blue": "0", "support": 1010}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..13931d07ce1a88e9c5b182f969b58ec7c20d5fb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_88fded844ed28e4f +-- problem_id: v2p_m10_c4ddab730efa42ee +-- realization_mode: agent +-- source_kind: agent +SELECT + "blue", + COUNT(*) AS support +FROM "m10" +GROUP BY "blue" +ORDER BY support ASC, "blue" +LIMIT 10; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9892f34cec9bab01d73574d74671c1623e8e82fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/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 \"blue\",\n COUNT(*) AS support\nFROM \"m10\"\nGROUP BY \"blue\"\nORDER BY support ASC, \"blue\"\nLIMIT 10;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"blue\\\",\\n COUNT(*) AS support\\nFROM \\\"m10\\\"\\nGROUP BY \\\"blue\\\"\\nORDER BY support ASC, \\\"blue\\\"\\nLIMIT 10;\", \"columns\": [\"blue\", \"support\"], \"rows\": [{\"blue\": \"1\", \"support\": 990}, {\"blue\": \"0\", \"support\": 1010}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.77}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8730b9b9c90c3be484696eb1da68bce6398de809 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:03:32.695124+00:00", + "ended_at": "2026-05-19T16:03:41.757942+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_88fded844ed28e4f", + "problem_id": "v2p_m10_c4ddab730efa42ee", + "dataset_id": "m10", + "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=blue.", + "bindings": { + "group_col": "blue", + "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": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=120" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_88fded844ed28e4f.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_88fded844ed28e4f", + "api_calls": 0, + "input_tokens": 15227, + "cached_input_tokens": 14720, + "output_tokens": 225, + "total_tokens": 15452, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9054.16, + "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_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b90f850775132e0eaae03abd7ebd179d8f69b98c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:03:41.753110+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": 9054.16, "started_at": "2026-05-19T16:03:32.697406+00:00", "ended_at": "2026-05-19T16:03:41.751608+00:00", "prompt_metrics": {"chars": 10493, "bytes_utf8": 10493, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 296, "bytes_utf8": 296, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15227, "cached_input_tokens": 14720, "output_tokens": 225, "reasoning_output_tokens": 138}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"blue\\\",\\n COUNT(*) AS support\\nFROM \\\"m10\\\"\\nGROUP BY \\\"blue\\\"\\nORDER BY support ASC, \\\"blue\\\"\\nLIMIT 10;\",\"notes\":\"Applied the provided Low-Support Group Count template with group_col bound to \\\"blue\\\" and top_k=10.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6ad7d5813a1c53b05c8865592e957085d18a9c6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_88fded844ed28e4f", + "api_calls": 0, + "input_tokens": 15227, + "cached_input_tokens": 14720, + "output_tokens": 225, + "total_tokens": 15452, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9054.16, + "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_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ac2bce2c1191977fbe076191c9a46876d2cb736 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/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=price_range, measure_col=n_cores. +Result preview: [{"price_range": "0", "percentile_measure": 8.0}, {"price_range": "1", "percentile_measure": 8.0}, {"price_range": "2", "percentile_measure": 8.0}, {"price_range": "3", "percentile_measure": 8.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..27cca139598b426dd4dd915392cdafaf0ce48a5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/generated_sql.sql @@ -0,0 +1,67 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_8924c38b3640c2ac +-- problem_id: v2p_m10_983b3637b6bd32cd +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "price_range", + CAST("n_cores" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "price_range" + ORDER BY CAST("n_cores" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "price_range" + ) AS "cnt" + FROM "m10" + WHERE "price_range" IS NOT NULL + AND "n_cores" IS NOT NULL + AND TRIM("price_range") <> '' + AND TRIM("n_cores") <> '' +), +"positions" AS ( + SELECT DISTINCT + "price_range", + (1.0 + 0.9 * ("cnt" - 1)) AS "pos", + CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) AS "lower_rn", + CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) + CASE + WHEN (1.0 + 0.9 * ("cnt" - 1)) > CAST((1.0 + 0.9 * ("cnt" - 1)) AS INTEGER) THEN 1 + ELSE 0 + END AS "upper_rn" + FROM "ordered" + WHERE "cnt" >= 5 +), +"picked" AS ( + SELECT + o."price_range", + p."pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."measure_value" END) AS "lower_value", + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."measure_value" END) AS "upper_value" + FROM "ordered" AS o + JOIN "positions" AS p + ON o."price_range" = p."price_range" + GROUP BY + o."price_range", + p."pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "price_range", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + (("pos" - "lower_rn") * ("upper_value" - "lower_value")) + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d93f407b86bb0bebb33564fb199987a438be7bc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/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 \"price_range\",\n CAST(\"n_cores\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"price_range\"\n ORDER BY CAST(\"n_cores\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"price_range\"\n ) AS \"cnt\"\n FROM \"m10\"\n WHERE \"price_range\" IS NOT NULL\n AND \"n_cores\" IS NOT NULL\n AND TRIM(\"price_range\") <> ''\n AND TRIM(\"n_cores\") <> ''\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"price_range\",\n (1.0 + 0.9 * (\"cnt\" - 1)) AS \"pos\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) + CASE\n WHEN (1.0 + 0.9 * (\"cnt\" - 1)) > CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) THEN 1\n ELSE 0\n END AS \"upper_rn\"\n FROM \"ordered\"\n WHERE \"cnt\" >= 5\n),\n\"picked\" AS (\n SELECT\n o.\"price_range\",\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_value\",\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure_value\" END) AS \"upper_value\"\n FROM \"ordered\" AS o\n JOIN \"positions\" AS p\n ON o.\"price_range\" = p.\"price_range\"\n GROUP BY\n o.\"price_range\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"price_range\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + ((\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\"))\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"price_range\\\",\\n CAST(\\\"n_cores\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"price_range\\\"\\n ORDER BY CAST(\\\"n_cores\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"price_range\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"price_range\\\" IS NOT NULL\\n AND \\\"n_cores\\\" IS NOT NULL\\n AND TRIM(\\\"price_range\\\") <> ''\\n AND TRIM(\\\"n_cores\\\") <> ''\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"price_range\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + CASE\\n WHEN (1.0 + 0.9 * (\\\"cnt\\\" - 1)) > CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n o.\\\"price_range\\\",\\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_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"ordered\\\" AS o\\n JOIN \\\"positions\\\" AS p\\n ON o.\\\"price_range\\\" = p.\\\"price_range\\\"\\n GROUP BY\\n o.\\\"price_range\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"price_range\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + ((\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"price_range\", \"percentile_measure\"], \"rows\": [{\"price_range\": \"0\", \"percentile_measure\": 8.0}, {\"price_range\": \"1\", \"percentile_measure\": 8.0}, {\"price_range\": \"2\", \"percentile_measure\": 8.0}, {\"price_range\": \"3\", \"percentile_measure\": 8.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.87}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..de74383e6013b2663c557f575385745cf8bae93b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:54:52.792377+00:00", + "ended_at": "2026-05-19T15:55:29.208095+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_8924c38b3640c2ac", + "problem_id": "v2p_m10_983b3637b6bd32cd", + "dataset_id": "m10", + "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=price_range, measure_col=n_cores.", + "bindings": { + "group_col": "price_range", + "measure_col": "n_cores", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m10/sql/v2q_m10_8924c38b3640c2ac.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_8924c38b3640c2ac", + "api_calls": 0, + "input_tokens": 15256, + "cached_input_tokens": 12032, + "output_tokens": 2594, + "total_tokens": 17850, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 36399.64, + "sql_execution_elapsed_ms_total": 11.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7117d6a100be1f07296f3fa124bfada6461859a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:55:29.194551+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": 36399.64, "started_at": "2026-05-19T15:54:52.794101+00:00", "ended_at": "2026-05-19T15:55:29.193771+00:00", "prompt_metrics": {"chars": 10690, "bytes_utf8": 10690, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 1918, "bytes_utf8": 1918, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15256, "cached_input_tokens": 12032, "output_tokens": 2594, "reasoning_output_tokens": 1952}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"price_range\\\",\\n CAST(\\\"n_cores\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"price_range\\\"\\n ORDER BY CAST(\\\"n_cores\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"price_range\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"price_range\\\" IS NOT NULL\\n AND \\\"n_cores\\\" IS NOT NULL\\n AND TRIM(\\\"price_range\\\") <> ''\\n AND TRIM(\\\"n_cores\\\") <> ''\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"price_range\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + CASE\\n WHEN (1.0 + 0.9 * (\\\"cnt\\\" - 1)) > CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n o.\\\"price_range\\\",\\n p.\\\"pos\\\",\\n p."} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6924dac2b08703d24bdbe4e3f9b01f44c52ecab3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_8924c38b3640c2ac", + "api_calls": 0, + "input_tokens": 15256, + "cached_input_tokens": 12032, + "output_tokens": 2594, + "total_tokens": 17850, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 36399.64, + "sql_execution_elapsed_ms_total": 11.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e70a6940dd10dd4e7bd2f0cb4a2cf08821cfa55c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/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=mobile_wt. +Result preview: [{"mobile_wt": 200.0}, {"mobile_wt": 200.0}, {"mobile_wt": 200.0}, {"mobile_wt": 200.0}, {"mobile_wt": 200.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9c70c177735494bc7a27cadd094e8d49e0d4bb5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_9033b7398aad73b1 +-- problem_id: v2p_m10_c6458e07795ec797 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("mobile_wt" AS REAL) AS "mobile_wt", + NTILE(10) OVER (ORDER BY CAST("mobile_wt" AS REAL) DESC) AS "tail_bucket" + FROM "m10" +) +SELECT "mobile_wt" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY "mobile_wt" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7a70c0179b4b82ee517ec88f580d904d6c0cd540 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"mobile_wt\" AS REAL) AS \"mobile_wt\",\n NTILE(10) OVER (ORDER BY CAST(\"mobile_wt\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m10\"\n)\nSELECT \"mobile_wt\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"mobile_wt\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"mobile_wt\\\" AS REAL) AS \\\"mobile_wt\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"mobile_wt\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"mobile_wt\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"mobile_wt\\\" DESC;\", \"columns\": [\"mobile_wt\"], \"rows\": [{\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 200.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 199.0}, {\"mobile_wt\": 198.0}, {\"mobile_wt\": 198.0}, {\"mobile_wt\": 198.0}, {\"mobile_wt\": 198.0}, {\"mobile_wt\": 198.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 3.32}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c4d23a65023c3026b0a117fb688e3ee495ae1717 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:42:51.020405+00:00", + "ended_at": "2026-05-19T15:43:12.498397+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_9033b7398aad73b1", + "problem_id": "v2p_m10_c6458e07795ec797", + "dataset_id": "m10", + "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=mobile_wt.", + "bindings": { + "measure_col": "mobile_wt", + "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": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=1", + "sql_variant_index=1/1", + "binding_index=60" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_9033b7398aad73b1.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_9033b7398aad73b1", + "api_calls": 0, + "input_tokens": 15272, + "cached_input_tokens": 14720, + "output_tokens": 447, + "total_tokens": 15719, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21470.2, + "sql_execution_elapsed_ms_total": 3.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bc1d765b7747ddf0dbf40ccc6349172c4fd9502c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:12.493678+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": 21470.2, "started_at": "2026-05-19T15:42:51.022594+00:00", "ended_at": "2026-05-19T15:43:12.492827+00:00", "prompt_metrics": {"chars": 10684, "bytes_utf8": 10684, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 506, "bytes_utf8": 506, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15272, "cached_input_tokens": 14720, "output_tokens": 447, "reasoning_output_tokens": 298}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"mobile_wt\\\" AS REAL) AS \\\"mobile_wt\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"mobile_wt\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"mobile_wt\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"mobile_wt\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col=mobile_wt and num_tiles=10. Cast \\\"mobile_wt\\\" to REAL because the schema stores numeric values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e9002719d7bee7a5067a1ec45aa1e7f6ad468a6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_9033b7398aad73b1", + "api_calls": 0, + "input_tokens": 15272, + "cached_input_tokens": 14720, + "output_tokens": 447, + "total_tokens": 15719, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21470.2, + "sql_execution_elapsed_ms_total": 3.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_91cf9ca075913363/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_91cf9ca075913363/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..95bbf44f5ba851c1d8d344d59c6dece145f49041 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_91cf9ca075913363/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "1", "support": 1014, "support_share": 0.507, "cumulative_support": 1014}, {"value_label": "0", "support": 986, "support_share": 0.493, "cumulative_support": 2000}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_91cf9ca075913363/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_91cf9ca075913363/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2fae6f492a894c65e7de23450cec010b965c82b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_91cf9ca075913363/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_91cf9ca075913363 +-- problem_id: v2p_m10_8ecfd32e5226c7d9 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "wifi" AS value_label, COUNT(*) AS support + FROM "m10" + GROUP BY "wifi" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_91cf9ca075913363/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_91cf9ca075913363/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..06bef58f3de1cd3e5edcca55e9b0b450951ce752 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_91cf9ca075913363/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m10_91cf9ca075913363\n-- problem_id: v2p_m10_8ecfd32e5226c7d9\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"wifi\" AS value_label, COUNT(*) AS support\n FROM \"m10\"\n GROUP BY \"wifi\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m10_91cf9ca075913363\\n-- problem_id: v2p_m10_8ecfd32e5226c7d9\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"wifi\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m10\\\"\\n GROUP BY \\\"wifi\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"1\", \"support\": 1014, \"support_share\": 0.507, \"cumulative_support\": 1014}, {\"value_label\": \"0\", \"support\": 986, \"support_share\": 0.493, \"cumulative_support\": 2000}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.99}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_91cf9ca075913363/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_91cf9ca075913363/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9c5dec92ac2c70388e8fbde39a3a91a291e0305f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_91cf9ca075913363/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.612464+00:00", + "ended_at": "2026-05-19T16:08:44.614186+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_91cf9ca075913363", + "problem_id": "v2p_m10_8ecfd32e5226c7d9", + "dataset_id": "m10", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=wifi.", + "bindings": { + "group_col": "wifi" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_91cf9ca075913363.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_91cf9ca075913363/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_91cf9ca075913363/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_91cf9ca075913363/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..691f3001815330062e78ce5aaac0aca8c2ed9ccd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11057, "bytes_utf8": 11057, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 15354, "cached_input_tokens": 14720, "output_tokens": 527, "reasoning_output_tokens": 367}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3f0e7f49c9306b63306ccc3a0eb957bb9a3e8b41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_92537d494d9041bd", + "api_calls": 0, + "input_tokens": 15354, + "cached_input_tokens": 14720, + "output_tokens": 527, + "total_tokens": 15881, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10829.42, + "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_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bb4ae7e420164f41e59399d6e9a1d4d17a38dd2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:31.165851+00:00", + "ended_at": "2026-05-19T15:48:41.995307+00:00", + "elapsed_ms": 10829.42, + "prompt_metrics": { + "chars": 11057, + "bytes_utf8": 11057, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 948, + "bytes_utf8": 948, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 577, + "bytes_utf8": 577, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15354, + "cached_input_tokens": 14720, + "output_tokens": 527, + "reasoning_output_tokens": 367 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7aec8ac1ccf915ac597704be4a421c8e21ad603 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=fc, measure_col=px_width.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "fc", + "measure_col": "px_width", + "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": 1477.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b2f186c7b0f0f6d12542b861287ad8b62413ccb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-a63e-7cf0-95c3-75b2c85032a5"} +{"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 \\\"fc\\\", SUM(CAST(\\\"px_width\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"fc\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"fc\\\", 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 provided template with group_col=\\\"fc\\\" and measure_col=\\\"px_width\\\". Cast \\\"px_width\\\" from TEXT to REAL so SQLite can aggregate it numerically.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15354,"cached_input_tokens":14720,"output_tokens":527,"reasoning_output_tokens":367}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8feefa8c5e735e50c277eb17cb6503b10a07cc99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"fc\", SUM(CAST(\"px_width\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"fc\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"fc\", 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 provided template with group_col=\"fc\" and measure_col=\"px_width\". Cast \"px_width\" from TEXT to REAL so SQLite can aggregate it numerically."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92537d494d9041bd/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f936cb1983103e03d76645b3871d2063d44f000b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=touch_screen, condition_col=touch_screen. +Result preview: [{"touch_screen": "0", "condition_ratio": 0.0}, {"touch_screen": "1", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1148109d44481f142b414cd31da17e971d81190b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_96233f5029530f94 +-- problem_id: v2p_m10_0ea49110f5da1047 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "touch_screen", + SUM(CASE WHEN "touch_screen" = '1' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "touch_screen" = '0' THEN 1 ELSE 0 END) AS denominator_count + FROM "m10" + GROUP BY "touch_screen" +) +SELECT "touch_screen", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..97adeb8d207b634dd627783df413830e8685d8fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"touch_screen\",\n SUM(CASE WHEN \"touch_screen\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"touch_screen\" = '0' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m10\"\n GROUP BY \"touch_screen\"\n)\nSELECT \"touch_screen\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"touch_screen\\\",\\n SUM(CASE WHEN \\\"touch_screen\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"touch_screen\\\" = '0' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"touch_screen\\\"\\n)\\nSELECT \\\"touch_screen\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"touch_screen\", \"condition_ratio\"], \"rows\": [{\"touch_screen\": \"0\", \"condition_ratio\": 0.0}, {\"touch_screen\": \"1\", \"condition_ratio\": null}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.51}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0ada0e708f2b7482fe38d70a2d9b5edac02f4d50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:40:13.163234+00:00", + "ended_at": "2026-05-19T15:40:24.477506+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_96233f5029530f94", + "problem_id": "v2p_m10_0ea49110f5da1047", + "dataset_id": "m10", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=touch_screen, condition_col=touch_screen.", + "bindings": { + "group_col": "touch_screen", + "condition_col": "touch_screen", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "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": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=42" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_96233f5029530f94.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_96233f5029530f94", + "api_calls": 0, + "input_tokens": 15427, + "cached_input_tokens": 14720, + "output_tokens": 524, + "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": 11305.0, + "sql_execution_elapsed_ms_total": 2.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dbdb643d0fb3163df776c7b83cd6e73ef233dcbc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:24.472355+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": 11305.0, "started_at": "2026-05-19T15:40:13.165650+00:00", "ended_at": "2026-05-19T15:40:24.470698+00:00", "prompt_metrics": {"chars": 11335, "bytes_utf8": 11335, "lines": 351, "estimated_tokens": null}, "response_metrics": {"chars": 799, "bytes_utf8": 799, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15427, "cached_input_tokens": 14720, "output_tokens": 524, "reasoning_output_tokens": 318}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"touch_screen\\\",\\n SUM(CASE WHEN \\\"touch_screen\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"touch_screen\\\" = '0' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"touch_screen\\\"\\n)\\nSELECT \\\"touch_screen\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the requested template with group_col and condition_col both bound to \\\"touch_screen\\\". Because the grouping column matches the conditioned column, the result is a self-conditional ratio: the '1' group will have a zero denominator and yield NULL, while the '0' group will yield 0.0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..081c70b44f5ece6b56c495e35916cec4a6847c07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_96233f5029530f94", + "api_calls": 0, + "input_tokens": 15427, + "cached_input_tokens": 14720, + "output_tokens": 524, + "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": 11305.0, + "sql_execution_elapsed_ms_total": 2.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8657154e3c6e4ed392b39f336177f4aae8f2890f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=three_g, condition_col=three_g. +Result preview: [{"three_g": "0", "condition_ratio": 0.0}, {"three_g": "1", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a837076fef81ffde972e0a2f1015e03652027432 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_980a177c3ad6e424 +-- problem_id: v2p_m10_2553eb77e0d8db14 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "three_g", + SUM(CASE WHEN "three_g" = '1' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "three_g" = '0' THEN 1 ELSE 0 END) AS denominator_count + FROM "m10" + GROUP BY "three_g" +) +SELECT + "three_g", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..429bc7269cdc84e1f4dc9fefed34ccae51288ed2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT\n \"three_g\",\n SUM(CASE WHEN \"three_g\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"three_g\" = '0' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m10\"\n GROUP BY \"three_g\"\n)\nSELECT\n \"three_g\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"three_g\\\",\\n SUM(CASE WHEN \\\"three_g\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"three_g\\\" = '0' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"three_g\\\"\\n)\\nSELECT\\n \\\"three_g\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"three_g\", \"condition_ratio\"], \"rows\": [{\"three_g\": \"0\", \"condition_ratio\": 0.0}, {\"three_g\": \"1\", \"condition_ratio\": null}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.51}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2bb410ed73a989203a5f73a58631dc0b0efea7b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:39:58.813041+00:00", + "ended_at": "2026-05-19T15:40:13.161910+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_980a177c3ad6e424", + "problem_id": "v2p_m10_2553eb77e0d8db14", + "dataset_id": "m10", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=three_g, condition_col=three_g.", + "bindings": { + "group_col": "three_g", + "condition_col": "three_g", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "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": 2.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=41" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_980a177c3ad6e424.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_980a177c3ad6e424", + "api_calls": 0, + "input_tokens": 15426, + "cached_input_tokens": 14720, + "output_tokens": 674, + "total_tokens": 16100, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14339.57, + "sql_execution_elapsed_ms_total": 2.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..123cf5421d80c4010451e1421d438041f59d53d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:13.156582+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": 14339.57, "started_at": "2026-05-19T15:39:58.815336+00:00", "ended_at": "2026-05-19T15:40:13.154950+00:00", "prompt_metrics": {"chars": 11311, "bytes_utf8": 11311, "lines": 351, "estimated_tokens": null}, "response_metrics": {"chars": 757, "bytes_utf8": 757, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15426, "cached_input_tokens": 14720, "output_tokens": 674, "reasoning_output_tokens": 471}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"three_g\\\",\\n SUM(CASE WHEN \\\"three_g\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"three_g\\\" = '0' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"three_g\\\"\\n)\\nSELECT\\n \\\"three_g\\\",\\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 both group_col and condition_col bound to \\\"three_g\\\". Because the grouping column and condition column are the same, the group where \\\"three_g\\\" = '1' will have a zero denominator and therefore a NULL ratio via NULLIF.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7c2c57eb20a05b6a477b7e9cffce96be749eca8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_980a177c3ad6e424", + "api_calls": 0, + "input_tokens": 15426, + "cached_input_tokens": 14720, + "output_tokens": 674, + "total_tokens": 16100, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14339.57, + "sql_execution_elapsed_ms_total": 2.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..aed469f6df265d5e70d0c9891a0c8e45b7f59dfa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:51.252077+00:00", + "ended_at": "2026-05-19T16:05:55.334282+00:00", + "elapsed_ms": 4082.18, + "returncode": 1, + "prompt_metrics": { + "chars": 10486, + "bytes_utf8": 10486, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..97bd8b804bb0e2c61ca9d1c77d3c436d169be59f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:56.335911+00:00", + "ended_at": "2026-05-19T16:05:59.444804+00:00", + "elapsed_ms": 3108.86, + "returncode": 1, + "prompt_metrics": { + "chars": 10486, + "bytes_utf8": 10486, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..835388eaa9ddd305d209105d36142a62f044c87f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=pc.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "pc", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..835388eaa9ddd305d209105d36142a62f044c87f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=pc.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "pc", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff97611d5310db4a3d9a7f71c4cfb032e782fd78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-851b-7f23-b56d-f16524eaf371"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a845c0eae4069e26fb1760e66a1a65842efd99a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-851b-7f23-b56d-f16524eaf371"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a8e38f49fd6863b83fd201219c9ec52fe17495f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-98f7-7340-a02e-dad095a340bb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a931138eaf64b709a18ed45a49658b53854be6b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-98f7-7340-a02e-dad095a340bb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9bdaa2f28e054915/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b7bbdd443382609fcceb767cfb7bcea6495cbe5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/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=four_g, measure_col=ram. +Result preview: [{"four_g": "1", "group_value": 2223478.0}, {"four_g": "0", "group_value": 2024948.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a92d19f1564f05fc5853181968894a7a6eba7e1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_9d35778f68d7ac68 +-- problem_id: v2p_m10_925406aac864fe3c +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "four_g", SUM(CAST("ram" AS REAL)) AS group_value + FROM "m10" + GROUP BY "four_g" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."four_g", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0dd4d5f94cd46e2a38395759f806d9ed6e11deb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/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 \"four_g\", SUM(CAST(\"ram\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"four_g\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"four_g\", 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 \\\"four_g\\\", SUM(CAST(\\\"ram\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"four_g\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"four_g\\\", 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\": [\"four_g\", \"group_value\"], \"rows\": [{\"four_g\": \"1\", \"group_value\": 2223478.0}, {\"four_g\": \"0\", \"group_value\": 2024948.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.28}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..72d98f08bc242b23b349e991a1a6f1814b5f1a02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:48:42.004948+00:00", + "ended_at": "2026-05-19T15:48:50.250603+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_9d35778f68d7ac68", + "problem_id": "v2p_m10_925406aac864fe3c", + "dataset_id": "m10", + "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=four_g, measure_col=ram.", + "bindings": { + "group_col": "four_g", + "measure_col": "ram", + "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": 3064.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=1/2", + "binding_index=79" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_9d35778f68d7ac68.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_9d35778f68d7ac68", + "api_calls": 0, + "input_tokens": 15354, + "cached_input_tokens": 14720, + "output_tokens": 339, + "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": 8239.05, + "sql_execution_elapsed_ms_total": 1.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b476d202dc8fa9806188845cb17ef844c9b385f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:50.247390+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": 8239.05, "started_at": "2026-05-19T15:48:42.007272+00:00", "ended_at": "2026-05-19T15:48:50.246366+00:00", "prompt_metrics": {"chars": 11053, "bytes_utf8": 11053, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 632, "bytes_utf8": 632, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15354, "cached_input_tokens": 14720, "output_tokens": 339, "reasoning_output_tokens": 169}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"four_g\\\", SUM(CAST(\\\"ram\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"four_g\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"four_g\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the planned Relative-to-Total Extreme Threshold template with group_col=\\\"four_g\\\" and measure_col=\\\"ram\\\". CAST(\\\"ram\\\" AS REAL) is applied because the schema stores numeric-looking values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..25fa38e8c6ae8e832c8fc21ca719e14dbf0f492a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_9d35778f68d7ac68", + "api_calls": 0, + "input_tokens": 15354, + "cached_input_tokens": 14720, + "output_tokens": 339, + "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": 8239.05, + "sql_execution_elapsed_ms_total": 1.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9d35778f68d7ac68/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ab7d58e8efb763bd3af7dd2f0adf16d6d81eaddd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10814, "bytes_utf8": 10814, "lines": 352, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 456, "bytes_utf8": 456, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15313, "cached_input_tokens": 12032, "output_tokens": 417, "reasoning_output_tokens": 285}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..17946b50dcb1796f791e078f15d52db560cbee26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_9e7d82122432ce89", + "api_calls": 0, + "input_tokens": 15313, + "cached_input_tokens": 12032, + "output_tokens": 417, + "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": 11549.78, + "sql_execution_elapsed_ms_total": 1.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a1d0cb42668ac8d2ea58790e4bc7e4872ebb4e4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:39.463260+00:00", + "ended_at": "2026-05-19T15:42:51.013083+00:00", + "elapsed_ms": 11549.78, + "prompt_metrics": { + "chars": 10814, + "bytes_utf8": 10814, + "lines": 352, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 835, + "bytes_utf8": 835, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 456, + "bytes_utf8": 456, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15313, + "cached_input_tokens": 12032, + "output_tokens": 417, + "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_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cad02be7a3ff77a53c591d5683e4e52a75148fc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,352 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=four_g, group_col_2=three_g.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "four_g", + "group_col_2": "three_g", + "predicate_col": "sc_h", + "predicate_op": ">=", + "predicate_value": 16.0, + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b40056802b3325f91f573c22a71dfac07e7d3eb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e7-485f-7bc1-b530-1134ef7a164e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"four_g\\\", \\\"three_g\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"sc_h\\\" AS REAL) >= 16.0\\nGROUP BY \\\"four_g\\\", \\\"three_g\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with group_col=\\\"four_g\\\", group_col_2=\\\"three_g\\\", and predicate on \\\"sc_h\\\". Cast \\\"sc_h\\\" to REAL because the SQLite schema stores columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15313,"cached_input_tokens":12032,"output_tokens":417,"reasoning_output_tokens":285}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a22b6465cbba9e05f8d210a465d6003faeddc8ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"four_g\", \"three_g\", COUNT(*) AS \"row_count\"\nFROM \"m10\"\nWHERE CAST(\"sc_h\" AS REAL) >= 16.0\nGROUP BY \"four_g\", \"three_g\"\nORDER BY \"row_count\" DESC;","notes":"Used the provided filtered two-dimensional group count template with group_col=\"four_g\", group_col_2=\"three_g\", and predicate on \"sc_h\". Cast \"sc_h\" to REAL because the SQLite schema stores columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9e7d82122432ce89/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fea04714ffd5d0abe7e9ccf3a72fc2980718fad9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=n_cores, condition_col=int_memory. +Result preview: [{"n_cores": "1", "condition_ratio": 3.3333333333333335}, {"n_cores": "4", "condition_ratio": 1.25}, {"n_cores": "6", "condition_ratio": 1.25}, {"n_cores": "5", "condition_ratio": 1.0}, {"n_cores": "3", "condition_ratio": 0.8333333333333334}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2de7ae451459580480b8d47da087e19c1edbbb44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_9f75f47650af9ee5 +-- problem_id: v2p_m10_55d590efed162871 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "n_cores", + SUM(CASE WHEN "int_memory" = '27' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "int_memory" = '14' THEN 1 ELSE 0 END) AS denominator_count + FROM "m10" + GROUP BY "n_cores" +) +SELECT "n_cores", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d361afdd999c722111b89257a2ec965cc5a003ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"n_cores\",\n SUM(CASE WHEN \"int_memory\" = '27' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"int_memory\" = '14' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m10\"\n GROUP BY \"n_cores\"\n)\nSELECT \"n_cores\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"n_cores\\\",\\n SUM(CASE WHEN \\\"int_memory\\\" = '27' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"int_memory\\\" = '14' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"n_cores\\\"\\n)\\nSELECT \\\"n_cores\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"n_cores\", \"condition_ratio\"], \"rows\": [{\"n_cores\": \"1\", \"condition_ratio\": 3.3333333333333335}, {\"n_cores\": \"4\", \"condition_ratio\": 1.25}, {\"n_cores\": \"6\", \"condition_ratio\": 1.25}, {\"n_cores\": \"5\", \"condition_ratio\": 1.0}, {\"n_cores\": \"3\", \"condition_ratio\": 0.8333333333333334}, {\"n_cores\": \"2\", \"condition_ratio\": 0.8}, {\"n_cores\": \"8\", \"condition_ratio\": 0.625}, {\"n_cores\": \"7\", \"condition_ratio\": 0.4}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.27}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..777f08e3ee52be76a25015d88170a8a94775f47f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:38:59.541986+00:00", + "ended_at": "2026-05-19T15:39:12.587943+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_9f75f47650af9ee5", + "problem_id": "v2p_m10_55d590efed162871", + "dataset_id": "m10", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=n_cores, condition_col=int_memory.", + "bindings": { + "group_col": "n_cores", + "condition_col": "int_memory", + "condition_value": "27", + "positive_value": "27", + "negative_value": "14", + "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": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=36" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_9f75f47650af9ee5.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_9f75f47650af9ee5", + "api_calls": 0, + "input_tokens": 15427, + "cached_input_tokens": 12032, + "output_tokens": 533, + "total_tokens": 15960, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13039.96, + "sql_execution_elapsed_ms_total": 1.27, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7114f62baf4ae81922306aba1f75a9490f30ef28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:12.585022+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": 13039.96, "started_at": "2026-05-19T15:38:59.544232+00:00", "ended_at": "2026-05-19T15:39:12.584227+00:00", "prompt_metrics": {"chars": 11323, "bytes_utf8": 11323, "lines": 351, "estimated_tokens": null}, "response_metrics": {"chars": 617, "bytes_utf8": 617, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15427, "cached_input_tokens": 12032, "output_tokens": 533, "reasoning_output_tokens": 352}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"n_cores\\\",\\n SUM(CASE WHEN \\\"int_memory\\\" = '27' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"int_memory\\\" = '14' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"n_cores\\\"\\n)\\nSELECT \\\"n_cores\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Grouped ratio by \\\"n_cores\\\": count of rows where \\\"int_memory\\\" = '27' divided by count of rows where \\\"int_memory\\\" = '14'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9df6e2dc6a530490f5b14e454122245f1f070170 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_9f75f47650af9ee5", + "api_calls": 0, + "input_tokens": 15427, + "cached_input_tokens": 12032, + "output_tokens": 533, + "total_tokens": 15960, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13039.96, + "sql_execution_elapsed_ms_total": 1.27, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..374fa9b1c0c6d14c3d1bad623922159ba05ac0c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/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=clock_speed, measure_col=m_dep. +Result preview: [{"clock_speed": 1.8, "pc": 4, "total_measure": 5.9, "share_within_group": 18.78980891719745}, {"clock_speed": 1.1, "pc": 14, "total_measure": 4.6, "share_within_group": 16.78832116788321}, {"clock_speed": 2.9, "pc": 8, "total_measure": 4.699999999999999, "share_within_group": 15.161290322580644}, {"clock_speed": 1.1, "pc": 7, "total_measure": 4.1, "share_within_group": 14.963503649635035}, {"clock_speed": 2.4, "pc": 9, "total_measure": 3.8000000000000003, "share_within_group": 14.50381679389313}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..603e4b64df96ad484336ceef1cdd62840ac34438 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_a22f65a85e92da2d +-- problem_id: v2p_m10_10d165c08192ad53 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("clock_speed" AS REAL) AS "clock_speed", + CAST("pc" AS INTEGER) AS "pc", + SUM(CAST("m_dep" AS REAL)) AS "total_measure", + SUM(CAST("m_dep" AS REAL)) * 100.0 / SUM(SUM(CAST("m_dep" AS REAL))) OVER (PARTITION BY CAST("clock_speed" AS REAL)) AS "share_within_group" +FROM "m10" +GROUP BY CAST("clock_speed" AS REAL), CAST("pc" AS INTEGER) +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b09dadb87926a7c61c90c15d37fcdef68ede814b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/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 CAST(\"clock_speed\" AS REAL) AS \"clock_speed\",\n CAST(\"pc\" AS INTEGER) AS \"pc\",\n SUM(CAST(\"m_dep\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"m_dep\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"m_dep\" AS REAL))) OVER (PARTITION BY CAST(\"clock_speed\" AS REAL)) AS \"share_within_group\"\nFROM \"m10\"\nGROUP BY CAST(\"clock_speed\" AS REAL), CAST(\"pc\" AS INTEGER)\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT CAST(\\\"clock_speed\\\" AS REAL) AS \\\"clock_speed\\\",\\n CAST(\\\"pc\\\" AS INTEGER) AS \\\"pc\\\",\\n SUM(CAST(\\\"m_dep\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"m_dep\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"m_dep\\\" AS REAL))) OVER (PARTITION BY CAST(\\\"clock_speed\\\" AS REAL)) AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY CAST(\\\"clock_speed\\\" AS REAL), CAST(\\\"pc\\\" AS INTEGER)\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"clock_speed\", \"pc\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"clock_speed\": 1.8, \"pc\": 4, \"total_measure\": 5.9, \"share_within_group\": 18.78980891719745}, {\"clock_speed\": 1.1, \"pc\": 14, \"total_measure\": 4.6, \"share_within_group\": 16.78832116788321}, {\"clock_speed\": 2.9, \"pc\": 8, \"total_measure\": 4.699999999999999, \"share_within_group\": 15.161290322580644}, {\"clock_speed\": 1.1, \"pc\": 7, \"total_measure\": 4.1, \"share_within_group\": 14.963503649635035}, {\"clock_speed\": 2.4, \"pc\": 9, \"total_measure\": 3.8000000000000003, \"share_within_group\": 14.50381679389313}, {\"clock_speed\": 2.2, \"pc\": 2, \"total_measure\": 4.3, \"share_within_group\": 13.915857605177994}, {\"clock_speed\": 3.0, \"pc\": 3, \"total_measure\": 2.0, \"share_within_group\": 13.88888888888889}, {\"clock_speed\": 0.7, \"pc\": 9, \"total_measure\": 4.0, \"share_within_group\": 12.944983818770226}, {\"clock_speed\": 1.9, \"pc\": 14, \"total_measure\": 3.9, \"share_within_group\": 12.62135922330097}, {\"clock_speed\": 1.4, \"pc\": 2, \"total_measure\": 4.5, \"share_within_group\": 12.295081967213115}, {\"clock_speed\": 2.0, \"pc\": 3, \"total_measure\": 3.8000000000000003, \"share_within_group\": 12.17948717948718}, {\"clock_speed\": 2.9, \"pc\": 17, \"total_measure\": 3.7, \"share_within_group\": 11.935483870967742}, {\"clock_speed\": 1.2, \"pc\": 14, \"total_measure\": 3.5, \"share_within_group\": 11.784511784511785}, {\"clock_speed\": 0.9, \"pc\": 7, \"total_measure\": 3.7, \"share_within_group\": 11.746031746031745}, {\"clock_speed\": 0.6, \"pc\": 2, \"total_measure\": 3.6, \"share_within_group\": 11.501597444089457}, {\"clock_speed\": 2.4, \"pc\": 15, \"total_measure\": 3.0, \"share_within_group\": 11.450381679389313}, {\"clock_speed\": 2.7, \"pc\": 7, \"total_measure\": 3.0, \"share_within_group\": 10.989010989010989}, {\"clock_speed\": 0.9, \"pc\": 19, \"total_measure\": 3.4, \"share_within_group\": 10.793650793650794}, {\"clock_speed\": 1.2, \"pc\": 5, \"total_measure\": 3.2, \"share_within_group\": 10.774410774410775}, {\"clock_speed\": 2.2, \"pc\": 6, \"total_measure\": 3.3, \"share_within_group\": 10.679611650485437}, {\"clock_speed\": 2.6, \"pc\": 16, \"total_measure\": 3.0, \"share_within_group\": 10.600706713780918}, {\"clock_speed\": 2.0, \"pc\": 16, \"total_measure\": 3.3, \"share_within_group\": 10.576923076923077}, {\"clock_speed\": 1.3, \"pc\": 15, \"total_measure\": 3.5, \"share_within_group\": 10.416666666666666}, {\"clock_speed\": 3.0, \"pc\": 13, \"total_measure\": 1.5, \"share_within_group\": 10.416666666666666}, {\"clock_speed\": 1.5, \"pc\": 2, \"total_measure\": 3.8, \"share_within_group\": 10.382513661202186}, {\"clock_speed\": 0.7, \"pc\": 7, \"total_measure\": 3.2, \"share_within_group\": 10.35598705501618}, {\"clock_speed\": 2.4, \"pc\": 17, \"total_measure\": 2.7, \"share_within_group\": 10.305343511450381}, {\"clock_speed\": 2.6, \"pc\": 19, \"total_measure\": 2.9, \"share_within_group\": 10.247349823321555}, {\"clock_speed\": 1.3, \"pc\": 4, \"total_measure\": 3.4, \"share_within_group\": 10.119047619047619}, {\"clock_speed\": 1.3, \"pc\": 20, \"total_measure\": 3.4, \"share_within_group\": 10.119047619047619}, {\"clock_speed\": 1.5, \"pc\": 15, \"total_measure\": 3.7, \"share_within_group\": 10.109289617486338}, {\"clock_speed\": 0.9, \"pc\": 12, \"total_measure\": 3.1, \"share_within_group\": 9.841269841269842}, {\"clock_speed\": 1.9, \"pc\": 10, \"total_measure\": 3.0, \"share_within_group\": 9.708737864077671}, {\"clock_speed\": 2.2, \"pc\": 1, \"total_measure\": 3.0, \"share_within_group\": 9.708737864077671}, {\"clock_speed\": 0.6, \"pc\": 8, \"total_measure\": 3.0, \"share_within_group\": 9.584664536741213}, {\"clock_speed\": 1.8, \"pc\": 8, \"total_measure\": 3.0, \"share_within_group\": 9.554140127388534}, {\"clock_speed\": 2.1, \"pc\": 1, \"total_measure\": 3.6, \"share_within_group\": 9.549071618037134}, {\"clock_speed\": 2.1, \"pc\": 20, \"total_measure\": 3.6, \"share_within_group\": 9.549071618037134}, {\"clock_speed\": 2.5, \"pc\": 9, \"total_measure\": 3.7, \"share_within_group\": 9.536082474226804}, {\"clock_speed\": 2.5, \"pc\": 13, \"total_measure\": 3.7, \"share_within_group\": 9.536082474226804}, {\"clock_speed\": 1.3, \"pc\": 9, \"total_measure\": 3.2, \"share_within_group\": 9.523809523809524}, {\"clock_speed\": 1.0, \"pc\": 9, \"total_measure\": 2.8, \"share_within_group\": 9.45945945945946}, {\"clock_speed\": 0.8, \"pc\": 10, \"total_measure\": 3.0, \"share_within_group\": 9.433962264150944}, {\"clock_speed\": 2.2, \"pc\": 16, \"total_measure\": 2.9, \"share_within_group\": 9.385113268608414}, {\"clock_speed\": 2.6, \"pc\": 20, \"total_measure\": 2.6, \"share_within_group\": 9.187279151943462}, {\"clock_speed\": 2.7, \"pc\": 3, \"total_measure\": 2.5, \"share_within_group\": 9.157509157509157}, {\"clock_speed\": 2.8, \"pc\": 0, \"total_measure\": 3.7, \"share_within_group\": 9.113300492610836}, {\"clock_speed\": 2.8, \"pc\": 13, \"total_measure\": 3.7, \"share_within_group\": 9.113300492610836}, {\"clock_speed\": 1.9, \"pc\": 18, \"total_measure\": 2.8, \"share_within_group\": 9.06148867313916}, {\"clock_speed\": 3.0, \"pc\": 5, \"total_measure\": 1.3, \"share_within_group\": 9.027777777777777}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 3.56}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..659f5e2f9124f5536b92d7cb49642adbb7628666 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:37:07.341302+00:00", + "ended_at": "2026-05-19T15:37:33.941443+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_a22f65a85e92da2d", + "problem_id": "v2p_m10_10d165c08192ad53", + "dataset_id": "m10", + "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=clock_speed, measure_col=m_dep.", + "bindings": { + "group_col": "clock_speed", + "measure_col": "m_dep", + "item_col": "pc", + "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": 0.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=31" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_a22f65a85e92da2d.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_a22f65a85e92da2d", + "api_calls": 0, + "input_tokens": 15333, + "cached_input_tokens": 14720, + "output_tokens": 1479, + "total_tokens": 16812, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 26593.14, + "sql_execution_elapsed_ms_total": 3.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d8f0b43080499db77948290c3c479e95e9f0b9f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:33.936375+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": 26593.14, "started_at": "2026-05-19T15:37:07.342397+00:00", "ended_at": "2026-05-19T15:37:33.935556+00:00", "prompt_metrics": {"chars": 10908, "bytes_utf8": 10908, "lines": 350, "estimated_tokens": null}, "response_metrics": {"chars": 677, "bytes_utf8": 677, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15333, "cached_input_tokens": 14720, "output_tokens": 1479, "reasoning_output_tokens": 1288}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT CAST(\\\"clock_speed\\\" AS REAL) AS \\\"clock_speed\\\",\\n CAST(\\\"pc\\\" AS INTEGER) AS \\\"pc\\\",\\n SUM(CAST(\\\"m_dep\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"m_dep\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"m_dep\\\" AS REAL))) OVER (PARTITION BY CAST(\\\"clock_speed\\\" AS REAL)) AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY CAST(\\\"clock_speed\\\" AS REAL), CAST(\\\"pc\\\" AS INTEGER)\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Used the provided template with group_col=\\\"clock_speed\\\", item_col=\\\"pc\\\", and measure_col=\\\"m_dep\\\". Cast text-backed numeric columns for SQLite-safe aggregation and grouping.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a9ceb38ad39f0a334fdc0af0775164b3140d8f0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_a22f65a85e92da2d", + "api_calls": 0, + "input_tokens": 15333, + "cached_input_tokens": 14720, + "output_tokens": 1479, + "total_tokens": 16812, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 26593.14, + "sql_execution_elapsed_ms_total": 3.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2db26fc4cb811bdf15750a1875aa0c2519c5e5c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:00:51.240619+00:00", + "ended_at": "2026-05-19T16:00:59.069150+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_a2dc9b5b66dfd4af", + "problem_id": "v2p_m10_abbc331d76cd255f", + "dataset_id": "m10", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=talk_time, condition_col=blue.", + "bindings": { + "group_col": "talk_time", + "condition_col": "blue", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=100" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bc5be4867eb32b847a07bffbaa6b97e3a012fc8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:00:54.568461+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3325.26, "started_at": "2026-05-19T16:00:51.242080+00:00", "ended_at": "2026-05-19T16:00:54.567374+00:00", "prompt_metrics": {"chars": 10750, "bytes_utf8": 10750, "lines": 351, "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-f120-77e2-89e1-6eed355c37d8\"}\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": "2026-05-19T16:00:59.069012+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": 3498.14, "started_at": "2026-05-19T16:00:55.569731+00:00", "ended_at": "2026-05-19T16:00:59.067911+00:00", "prompt_metrics": {"chars": 10750, "bytes_utf8": 10750, "lines": 351, "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\":\"019e40f8-0233-7760-925d-8f72f15226a3\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6567d01c6df142f084c887c2553f4387d48c2f64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/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=fc, measure_col=n_cores. +Result preview: [{"fc": "19", "px_width": "742", "total_measure": 4.0, "share_within_group": 100.0}, {"fc": "17", "px_width": "1711", "total_measure": 5.0, "share_within_group": 27.77777777777778}, {"fc": "17", "px_width": "1942", "total_measure": 4.0, "share_within_group": 22.22222222222222}, {"fc": "17", "px_width": "1200", "total_measure": 3.0, "share_within_group": 16.666666666666668}, {"fc": "17", "px_width": "1771", "total_measure": 3.0, "share_within_group": 16.666666666666668}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..acc3df854b56d6e631abc0fd183d880dc6a4b75e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_a3307361e78bcb4d +-- problem_id: v2p_m10_9d9d857cb6ff7cef +-- realization_mode: agent +-- source_kind: agent +SELECT + "fc", + "px_width", + SUM(CAST("n_cores" AS REAL)) AS total_measure, + SUM(CAST("n_cores" AS REAL)) * 100.0 / SUM(SUM(CAST("n_cores" AS REAL))) OVER (PARTITION BY "fc") AS share_within_group +FROM "m10" +GROUP BY "fc", "px_width" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4558eb745228cbc50655281d340071f8523b2113 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/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 \"fc\",\n \"px_width\",\n SUM(CAST(\"n_cores\" AS REAL)) AS total_measure,\n SUM(CAST(\"n_cores\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"n_cores\" AS REAL))) OVER (PARTITION BY \"fc\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"fc\", \"px_width\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"fc\\\",\\n \\\"px_width\\\",\\n SUM(CAST(\\\"n_cores\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"n_cores\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"n_cores\\\" AS REAL))) OVER (PARTITION BY \\\"fc\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\", \\\"px_width\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"fc\", \"px_width\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"fc\": \"19\", \"px_width\": \"742\", \"total_measure\": 4.0, \"share_within_group\": 100.0}, {\"fc\": \"17\", \"px_width\": \"1711\", \"total_measure\": 5.0, \"share_within_group\": 27.77777777777778}, {\"fc\": \"17\", \"px_width\": \"1942\", \"total_measure\": 4.0, \"share_within_group\": 22.22222222222222}, {\"fc\": \"17\", \"px_width\": \"1200\", \"total_measure\": 3.0, \"share_within_group\": 16.666666666666668}, {\"fc\": \"17\", \"px_width\": \"1771\", \"total_measure\": 3.0, \"share_within_group\": 16.666666666666668}, {\"fc\": \"18\", \"px_width\": \"1726\", \"total_measure\": 7.0, \"share_within_group\": 16.27906976744186}, {\"fc\": \"18\", \"px_width\": \"844\", \"total_measure\": 7.0, \"share_within_group\": 16.27906976744186}, {\"fc\": \"18\", \"px_width\": \"1144\", \"total_measure\": 5.0, \"share_within_group\": 11.627906976744185}, {\"fc\": \"18\", \"px_width\": \"896\", \"total_measure\": 5.0, \"share_within_group\": 11.627906976744185}, {\"fc\": \"17\", \"px_width\": \"1405\", \"total_measure\": 2.0, \"share_within_group\": 11.11111111111111}, {\"fc\": \"15\", \"px_width\": \"1882\", \"total_measure\": 8.0, \"share_within_group\": 9.523809523809524}, {\"fc\": \"15\", \"px_width\": \"653\", \"total_measure\": 8.0, \"share_within_group\": 9.523809523809524}, {\"fc\": \"18\", \"px_width\": \"1039\", \"total_measure\": 4.0, \"share_within_group\": 9.30232558139535}, {\"fc\": \"18\", \"px_width\": \"1393\", \"total_measure\": 4.0, \"share_within_group\": 9.30232558139535}, {\"fc\": \"14\", \"px_width\": \"1330\", \"total_measure\": 8.0, \"share_within_group\": 8.333333333333334}, {\"fc\": \"14\", \"px_width\": \"1903\", \"total_measure\": 8.0, \"share_within_group\": 8.333333333333334}, {\"fc\": \"14\", \"px_width\": \"1389\", \"total_measure\": 7.0, \"share_within_group\": 7.291666666666667}, {\"fc\": \"14\", \"px_width\": \"1429\", \"total_measure\": 7.0, \"share_within_group\": 7.291666666666667}, {\"fc\": \"14\", \"px_width\": \"1742\", \"total_measure\": 7.0, \"share_within_group\": 7.291666666666667}, {\"fc\": \"15\", \"px_width\": \"1030\", \"total_measure\": 6.0, \"share_within_group\": 7.142857142857143}, {\"fc\": \"15\", \"px_width\": \"1073\", \"total_measure\": 6.0, \"share_within_group\": 7.142857142857143}, {\"fc\": \"18\", \"px_width\": \"1179\", \"total_measure\": 3.0, \"share_within_group\": 6.976744186046512}, {\"fc\": \"18\", \"px_width\": \"1942\", \"total_measure\": 3.0, \"share_within_group\": 6.976744186046512}, {\"fc\": \"16\", \"px_width\": \"1036\", \"total_measure\": 8.0, \"share_within_group\": 6.722689075630252}, {\"fc\": \"16\", \"px_width\": \"1249\", \"total_measure\": 8.0, \"share_within_group\": 6.722689075630252}, {\"fc\": \"16\", \"px_width\": \"1300\", \"total_measure\": 8.0, \"share_within_group\": 6.722689075630252}, {\"fc\": \"16\", \"px_width\": \"1905\", \"total_measure\": 8.0, \"share_within_group\": 6.722689075630252}, {\"fc\": \"16\", \"px_width\": \"654\", \"total_measure\": 8.0, \"share_within_group\": 6.722689075630252}, {\"fc\": \"14\", \"px_width\": \"1636\", \"total_measure\": 6.0, \"share_within_group\": 6.25}, {\"fc\": \"14\", \"px_width\": \"1931\", \"total_measure\": 6.0, \"share_within_group\": 6.25}, {\"fc\": \"14\", \"px_width\": \"510\", \"total_measure\": 6.0, \"share_within_group\": 6.25}, {\"fc\": \"14\", \"px_width\": \"676\", \"total_measure\": 6.0, \"share_within_group\": 6.25}, {\"fc\": \"15\", \"px_width\": \"1018\", \"total_measure\": 5.0, \"share_within_group\": 5.9523809523809526}, {\"fc\": \"15\", \"px_width\": \"1352\", \"total_measure\": 5.0, \"share_within_group\": 5.9523809523809526}, {\"fc\": \"15\", \"px_width\": \"772\", \"total_measure\": 5.0, \"share_within_group\": 5.9523809523809526}, {\"fc\": \"16\", \"px_width\": \"1118\", \"total_measure\": 7.0, \"share_within_group\": 5.882352941176471}, {\"fc\": \"16\", \"px_width\": \"1705\", \"total_measure\": 7.0, \"share_within_group\": 5.882352941176471}, {\"fc\": \"17\", \"px_width\": \"1767\", \"total_measure\": 1.0, \"share_within_group\": 5.555555555555555}, {\"fc\": \"14\", \"px_width\": \"1020\", \"total_measure\": 5.0, \"share_within_group\": 5.208333333333333}, {\"fc\": \"14\", \"px_width\": \"1262\", \"total_measure\": 5.0, \"share_within_group\": 5.208333333333333}, {\"fc\": \"14\", \"px_width\": \"1654\", \"total_measure\": 5.0, \"share_within_group\": 5.208333333333333}, {\"fc\": \"14\", \"px_width\": \"980\", \"total_measure\": 5.0, \"share_within_group\": 5.208333333333333}, {\"fc\": \"16\", \"px_width\": \"1000\", \"total_measure\": 6.0, \"share_within_group\": 5.042016806722689}, {\"fc\": \"16\", \"px_width\": \"1171\", \"total_measure\": 6.0, \"share_within_group\": 5.042016806722689}, {\"fc\": \"16\", \"px_width\": \"1472\", \"total_measure\": 6.0, \"share_within_group\": 5.042016806722689}, {\"fc\": \"16\", \"px_width\": \"512\", \"total_measure\": 6.0, \"share_within_group\": 5.042016806722689}, {\"fc\": \"16\", \"px_width\": \"730\", \"total_measure\": 6.0, \"share_within_group\": 5.042016806722689}, {\"fc\": \"16\", \"px_width\": \"826\", \"total_measure\": 6.0, \"share_within_group\": 5.042016806722689}, {\"fc\": \"16\", \"px_width\": \"873\", \"total_measure\": 6.0, \"share_within_group\": 5.042016806722689}, {\"fc\": \"15\", \"px_width\": \"1230\", \"total_measure\": 4.0, \"share_within_group\": 4.761904761904762}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.09}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3c83ef8283cf7e9df6dad17d334c18031c538e0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:38:11.418615+00:00", + "ended_at": "2026-05-19T15:38:24.237598+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_a3307361e78bcb4d", + "problem_id": "v2p_m10_9d9d857cb6ff7cef", + "dataset_id": "m10", + "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=fc, measure_col=n_cores.", + "bindings": { + "group_col": "fc", + "measure_col": "n_cores", + "item_col": "px_width", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=33" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_a3307361e78bcb4d.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_a3307361e78bcb4d", + "api_calls": 0, + "input_tokens": 15334, + "cached_input_tokens": 14720, + "output_tokens": 631, + "total_tokens": 15965, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12808.68, + "sql_execution_elapsed_ms_total": 6.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2df609ad1a6f1dcc478300cdb9aef352b6ae5b19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:24.230033+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": 12808.68, "started_at": "2026-05-19T15:38:11.420592+00:00", "ended_at": "2026-05-19T15:38:24.229299+00:00", "prompt_metrics": {"chars": 10900, "bytes_utf8": 10900, "lines": 350, "estimated_tokens": null}, "response_metrics": {"chars": 560, "bytes_utf8": 560, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15334, "cached_input_tokens": 14720, "output_tokens": 631, "reasoning_output_tokens": 459}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"fc\\\",\\n \\\"px_width\\\",\\n SUM(CAST(\\\"n_cores\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"n_cores\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"n_cores\\\" AS REAL))) OVER (PARTITION BY \\\"fc\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\", \\\"px_width\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"fc\\\", item_col=\\\"px_width\\\", and measure_col=\\\"n_cores\\\". Cast \\\"n_cores\\\" to REAL because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a3e6eb90b592b98fe75e4981e40e770f21e02413 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_a3307361e78bcb4d", + "api_calls": 0, + "input_tokens": 15334, + "cached_input_tokens": 14720, + "output_tokens": 631, + "total_tokens": 15965, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12808.68, + "sql_execution_elapsed_ms_total": 6.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a68ac2659c943ec4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a68ac2659c943ec4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..12f4b73e5be3e342feca6fedbbc8f7c366755dd5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a68ac2659c943ec4/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"px_height": "347", "support": 7, "avg_response": 2.042857142857143}, {"px_height": "179", "support": 6, "avg_response": 1.7333333333333334}, {"px_height": "275", "support": 6, "avg_response": 1.1}, {"px_height": "371", "support": 6, "avg_response": 1.0833333333333333}, {"px_height": "526", "support": 5, "avg_response": 2.2600000000000002}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a68ac2659c943ec4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a68ac2659c943ec4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..73c951b2011fed0f7800bba4894912e4755df093 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a68ac2659c943ec4/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_a68ac2659c943ec4 +-- problem_id: v2p_m10_9a6ac1014291b181 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "px_height", + COUNT(*) AS support, + AVG("clock_speed") AS avg_response +FROM "m10" +GROUP BY "px_height" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a68ac2659c943ec4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a68ac2659c943ec4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9e4e80c57383bb79324ea2e71242d9851f5029ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a68ac2659c943ec4/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\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_m10_a68ac2659c943ec4\n-- problem_id: v2p_m10_9a6ac1014291b181\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"px_height\",\n COUNT(*) AS support,\n AVG(\"clock_speed\") AS avg_response\nFROM \"m10\"\nGROUP BY \"px_height\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\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_m10_a68ac2659c943ec4\\n-- problem_id: v2p_m10_9a6ac1014291b181\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"px_height\\\",\\n COUNT(*) AS support,\\n AVG(\\\"clock_speed\\\") AS avg_response\\nFROM \\\"m10\\\"\\nGROUP BY \\\"px_height\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"px_height\", \"support\", \"avg_response\"], \"rows\": [{\"px_height\": \"347\", \"support\": 7, \"avg_response\": 2.042857142857143}, {\"px_height\": \"179\", \"support\": 6, \"avg_response\": 1.7333333333333334}, {\"px_height\": \"275\", \"support\": 6, \"avg_response\": 1.1}, {\"px_height\": \"371\", \"support\": 6, \"avg_response\": 1.0833333333333333}, {\"px_height\": \"526\", \"support\": 5, \"avg_response\": 2.2600000000000002}, {\"px_height\": \"674\", \"support\": 5, \"avg_response\": 1.98}, {\"px_height\": \"56\", \"support\": 5, \"avg_response\": 1.8}, {\"px_height\": \"293\", \"support\": 5, \"avg_response\": 1.6800000000000002}, {\"px_height\": \"42\", \"support\": 5, \"avg_response\": 1.6800000000000002}, {\"px_height\": \"398\", \"support\": 5, \"avg_response\": 1.6600000000000001}, {\"px_height\": \"211\", \"support\": 5, \"avg_response\": 1.64}, {\"px_height\": \"168\", \"support\": 5, \"avg_response\": 1.56}, {\"px_height\": \"88\", \"support\": 5, \"avg_response\": 1.56}, {\"px_height\": \"286\", \"support\": 5, \"avg_response\": 1.52}, {\"px_height\": \"322\", \"support\": 5, \"avg_response\": 1.46}, {\"px_height\": \"730\", \"support\": 5, \"avg_response\": 1.34}, {\"px_height\": \"447\", \"support\": 5, \"avg_response\": 1.3199999999999998}, {\"px_height\": \"327\", \"support\": 5, \"avg_response\": 1.3}, {\"px_height\": \"667\", \"support\": 5, \"avg_response\": 1.1}, {\"px_height\": \"356\", \"support\": 5, \"avg_response\": 0.8400000000000001}, {\"px_height\": \"649\", \"support\": 5, \"avg_response\": 0.7}], \"row_count_returned\": 21, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.39}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a68ac2659c943ec4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a68ac2659c943ec4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..840a8006eccd4343a79d73603727472eca0f55b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a68ac2659c943ec4/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.657584+00:00", + "ended_at": "2026-05-19T16:08:44.659537+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_a68ac2659c943ec4", + "problem_id": "v2p_m10_9a6ac1014291b181", + "dataset_id": "m10", + "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=clock_speed, key_col=px_height.", + "bindings": { + "key_col": "px_height", + "measure_col": "clock_speed", + "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=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_a68ac2659c943ec4.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a68ac2659c943ec4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a68ac2659c943ec4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a68ac2659c943ec4/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..58e7090ce22a20cc3844719a2f785fd8b1c89d0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=pc, condition_col=blue. +Result preview: [{"pc": "20", "condition_ratio": 1.391304347826087}, {"pc": "16", "condition_ratio": 1.3783783783783783}, {"pc": "8", "condition_ratio": 1.3421052631578947}, {"pc": "6", "condition_ratio": 1.3170731707317074}, {"pc": "17", "condition_ratio": 1.2}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..47d43f1f7dccbb9f6219c9d6664b5b50a12ae09e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_a75a92bc381eb023 +-- problem_id: v2p_m10_aa6d35fa2cf99d91 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "pc", + SUM(CASE WHEN "blue" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "blue" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "m10" + GROUP BY "pc" +) +SELECT "pc", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..061cc04ef3e211c0f607aaed548bd453b435065f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"pc\",\n SUM(CASE WHEN \"blue\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"blue\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m10\"\n GROUP BY \"pc\"\n)\nSELECT \"pc\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"pc\\\",\\n SUM(CASE WHEN \\\"blue\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"blue\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"pc\\\"\\n)\\nSELECT \\\"pc\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"pc\", \"condition_ratio\"], \"rows\": [{\"pc\": \"20\", \"condition_ratio\": 1.391304347826087}, {\"pc\": \"16\", \"condition_ratio\": 1.3783783783783783}, {\"pc\": \"8\", \"condition_ratio\": 1.3421052631578947}, {\"pc\": \"6\", \"condition_ratio\": 1.3170731707317074}, {\"pc\": \"17\", \"condition_ratio\": 1.2}, {\"pc\": \"3\", \"condition_ratio\": 1.0666666666666667}, {\"pc\": \"2\", \"condition_ratio\": 1.0625}, {\"pc\": \"7\", \"condition_ratio\": 1.0517241379310345}, {\"pc\": \"1\", \"condition_ratio\": 1.0392156862745099}, {\"pc\": \"5\", \"condition_ratio\": 1.0344827586206897}, {\"pc\": \"10\", \"condition_ratio\": 1.0}, {\"pc\": \"4\", \"condition_ratio\": 0.9791666666666666}, {\"pc\": \"12\", \"condition_ratio\": 0.9565217391304348}, {\"pc\": \"18\", \"condition_ratio\": 0.9523809523809523}, {\"pc\": \"13\", \"condition_ratio\": 0.9318181818181818}, {\"pc\": \"19\", \"condition_ratio\": 0.9302325581395349}, {\"pc\": \"0\", \"condition_ratio\": 0.9056603773584906}, {\"pc\": \"14\", \"condition_ratio\": 0.8909090909090909}, {\"pc\": \"15\", \"condition_ratio\": 0.8775510204081632}, {\"pc\": \"9\", \"condition_ratio\": 0.75}, {\"pc\": \"11\", \"condition_ratio\": 0.6808510638297872}], \"row_count_returned\": 21, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.68}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..297b73ec4c7caf85bb1a020c9987b8d629d42521 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:39:12.588587+00:00", + "ended_at": "2026-05-19T15:39:23.294624+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_a75a92bc381eb023", + "problem_id": "v2p_m10_aa6d35fa2cf99d91", + "dataset_id": "m10", + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "contrastive_conditional_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=pc, condition_col=blue.", + "bindings": { + "group_col": "pc", + "condition_col": "blue", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3064.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=37" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_a75a92bc381eb023.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_a75a92bc381eb023", + "api_calls": 0, + "input_tokens": 15423, + "cached_input_tokens": 0, + "output_tokens": 456, + "total_tokens": 15879, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10698.43, + "sql_execution_elapsed_ms_total": 2.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c767dbbfe286088ea9719d3c66a2a3950ecb33c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:23.289588+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": 10698.43, "started_at": "2026-05-19T15:39:12.589760+00:00", "ended_at": "2026-05-19T15:39:23.288228+00:00", "prompt_metrics": {"chars": 11297, "bytes_utf8": 11297, "lines": 351, "estimated_tokens": null}, "response_metrics": {"chars": 657, "bytes_utf8": 657, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15423, "cached_input_tokens": 0, "output_tokens": 456, "reasoning_output_tokens": 271}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"pc\\\",\\n SUM(CASE WHEN \\\"blue\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"blue\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"pc\\\"\\n)\\nSELECT \\\"pc\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the grouped ratio template with group_col=\\\"pc\\\" and condition_col=\\\"blue\\\", computing the ratio of blue='0' to blue='1' within each pc group. Returns NULL for groups with no blue='1' rows.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6bd8233fa55fc4ba5d99c1fe666dc66142a30e9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_a75a92bc381eb023", + "api_calls": 0, + "input_tokens": 15423, + "cached_input_tokens": 0, + "output_tokens": 456, + "total_tokens": 15879, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10698.43, + "sql_execution_elapsed_ms_total": 2.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a75a92bc381eb023/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7134ffacd0540e32377215af2f06a4f4c4290fd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/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=n_cores, measure_col=sc_w. +Result preview: [{"n_cores": "7", "group_value": 1584.0}, {"n_cores": "5", "group_value": 1573.0}, {"n_cores": "4", "group_value": 1540.0}, {"n_cores": "8", "group_value": 1402.0}, {"n_cores": "1", "group_value": 1392.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8e403931191831cede3842aab7e9f2084c6e7af9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_a7dc86f97b394913 +-- problem_id: v2p_m10_0cae58499dead904 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "n_cores", SUM(CAST("sc_w" AS REAL)) AS group_value + FROM "m10" + GROUP BY "n_cores" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."n_cores", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7524e57180a861f88defcf06f6092c8816622834 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"n_cores\", SUM(CAST(\"sc_w\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"n_cores\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"n_cores\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"n_cores\\\", SUM(CAST(\\\"sc_w\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"n_cores\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"n_cores\\\", 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\": [\"n_cores\", \"group_value\"], \"rows\": [{\"n_cores\": \"7\", \"group_value\": 1584.0}, {\"n_cores\": \"5\", \"group_value\": 1573.0}, {\"n_cores\": \"4\", \"group_value\": 1540.0}, {\"n_cores\": \"8\", \"group_value\": 1402.0}, {\"n_cores\": \"1\", \"group_value\": 1392.0}, {\"n_cores\": \"6\", \"group_value\": 1384.0}, {\"n_cores\": \"2\", \"group_value\": 1348.0}, {\"n_cores\": \"3\", \"group_value\": 1311.0}], \"row_count_returned\": 8, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..566834ba98089a911d16b6aaa2633082afb9784b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:49:43.862394+00:00", + "ended_at": "2026-05-19T15:49:59.788822+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_a7dc86f97b394913", + "problem_id": "v2p_m10_0cae58499dead904", + "dataset_id": "m10", + "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=n_cores, measure_col=sc_w.", + "bindings": { + "group_col": "n_cores", + "measure_col": "sc_w", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=81" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_a7dc86f97b394913.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_a7dc86f97b394913", + "api_calls": 0, + "input_tokens": 15353, + "cached_input_tokens": 14720, + "output_tokens": 541, + "total_tokens": 15894, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15920.58, + "sql_execution_elapsed_ms_total": 1.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..202b868712672d87b0fefaa7f099dee8e73126c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:59.786319+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": 15920.58, "started_at": "2026-05-19T15:49:43.864877+00:00", "ended_at": "2026-05-19T15:49:59.785506+00:00", "prompt_metrics": {"chars": 11055, "bytes_utf8": 11055, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 598, "bytes_utf8": 598, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15353, "cached_input_tokens": 14720, "output_tokens": 541, "reasoning_output_tokens": 371}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"n_cores\\\", SUM(CAST(\\\"sc_w\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"n_cores\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"n_cores\\\", 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=\\\"n_cores\\\" and measure_col=\\\"sc_w\\\". CAST(\\\"sc_w\\\" AS REAL) is applied because the schema stores numeric values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1d09c600f74293a7d6a166282e684aea8485e4eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_a7dc86f97b394913", + "api_calls": 0, + "input_tokens": 15353, + "cached_input_tokens": 14720, + "output_tokens": 541, + "total_tokens": 15894, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15920.58, + "sql_execution_elapsed_ms_total": 1.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a7dc86f97b394913/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69fc77ae6140836ef4766516bc3738d632b2bac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/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=blue, measure_col=n_cores. +Result preview: [{"blue": "1", "group_value": 4558.0}, {"blue": "0", "group_value": 4483.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1464c86935dcbc0d47feecacb24c1de9313c9118 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_a8da708357b033da +-- problem_id: v2p_m10_d81eb38f62f712f9 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "blue", SUM(CAST("n_cores" AS REAL)) AS group_value + FROM "m10" + GROUP BY "blue" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."blue", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bff8f7ca0624a526316ab7440b41c2a46175f5b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/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 \"blue\", SUM(CAST(\"n_cores\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"blue\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"blue\", 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 \\\"blue\\\", SUM(CAST(\\\"n_cores\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"blue\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"blue\\\", 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\": [\"blue\", \"group_value\"], \"rows\": [{\"blue\": \"1\", \"group_value\": 4558.0}, {\"blue\": \"0\", \"group_value\": 4483.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.51}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..009e1bd734822a970c916ec7a3fc58303db7d0c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:47:11.062228+00:00", + "ended_at": "2026-05-19T15:47:25.357470+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_a8da708357b033da", + "problem_id": "v2p_m10_d81eb38f62f712f9", + "dataset_id": "m10", + "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=blue, measure_col=n_cores.", + "bindings": { + "group_col": "blue", + "measure_col": "n_cores", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m10/sql/v2q_m10_a8da708357b033da.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_a8da708357b033da", + "api_calls": 0, + "input_tokens": 15354, + "cached_input_tokens": 12032, + "output_tokens": 330, + "total_tokens": 15684, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14287.92, + "sql_execution_elapsed_ms_total": 2.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2f70cdb1e5ac8dd2972708f7a6970bd4d962c50a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:25.352751+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": 14287.92, "started_at": "2026-05-19T15:47:11.063551+00:00", "ended_at": "2026-05-19T15:47:25.351515+00:00", "prompt_metrics": {"chars": 11054, "bytes_utf8": 11054, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 577, "bytes_utf8": 577, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15354, "cached_input_tokens": 12032, "output_tokens": 330, "reasoning_output_tokens": 168}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"blue\\\", SUM(CAST(\\\"n_cores\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"blue\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"blue\\\", 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=\\\"blue\\\" and measure_col=\\\"n_cores\\\". Cast \\\"n_cores\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f6b504edacfcf17fb327e8f884dc0a27bdec612e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_a8da708357b033da", + "api_calls": 0, + "input_tokens": 15354, + "cached_input_tokens": 12032, + "output_tokens": 330, + "total_tokens": 15684, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14287.92, + "sql_execution_elapsed_ms_total": 2.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fa0eb99d20ec9eece0a6c1bd91dd06f8dfc18d23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11050, "bytes_utf8": 11050, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 589, "bytes_utf8": 589, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15352, "cached_input_tokens": 12032, "output_tokens": 330, "reasoning_output_tokens": 169}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..490c07bb47417259b471aba3d06e56b3fb214046 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_a9d3e2792159a360", + "api_calls": 0, + "input_tokens": 15352, + "cached_input_tokens": 12032, + "output_tokens": 330, + "total_tokens": 15682, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8773.9, + "sql_execution_elapsed_ms_total": 1.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3ecb66320d3afdd150c5cccda05a49b8aa9d17e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:19.264118+00:00", + "ended_at": "2026-05-19T15:46:28.038053+00:00", + "elapsed_ms": 8773.9, + "prompt_metrics": { + "chars": 11050, + "bytes_utf8": 11050, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 960, + "bytes_utf8": 960, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 589, + "bytes_utf8": 589, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15352, + "cached_input_tokens": 12032, + "output_tokens": 330, + "reasoning_output_tokens": 169 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..396df38709bdfe803dea4a7de2e1c54733dbd621 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=wifi, measure_col=m_dep.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "wifi", + "measure_col": "m_dep", + "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": 0.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..57515f866e250e04784ed12f4babaefb0f3b9d9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-a31b-79a2-b6e3-95bc2f21fd06"} +{"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 \\\"wifi\\\", SUM(CAST(\\\"m_dep\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"wifi\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"wifi\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the requested template with group_col=\\\"wifi\\\" and measure_col=\\\"m_dep\\\". Casted \\\"m_dep\\\" to REAL because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15352,"cached_input_tokens":12032,"output_tokens":330,"reasoning_output_tokens":169}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7afc4661f590db60bbe51fcae77fcff6c816edfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"wifi\", SUM(CAST(\"m_dep\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"wifi\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"wifi\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Applied the requested template with group_col=\"wifi\" and measure_col=\"m_dep\". Casted \"m_dep\" to REAL because the schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a9d3e2792159a360/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d77ae2ad2c8eb330012cb0f4e77f2bfb2832ddd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/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=fc, group_col_2=price_range. +Result preview: [{"fc": "0", "price_range": "1", "row_count": 31}, {"fc": "0", "price_range": "3", "row_count": 27}, {"fc": "0", "price_range": "0", "row_count": 24}, {"fc": "0", "price_range": "2", "row_count": 21}, {"fc": "1", "price_range": "3", "row_count": 19}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5d9ed69216c33b547d14e46ddbc93b90e9c3849f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_ab44158b16ca09ed +-- problem_id: v2p_m10_362dc24fa11c0e33 +-- realization_mode: agent +-- source_kind: agent +SELECT "fc", "price_range", COUNT(*) AS "row_count" +FROM "m10" +WHERE CAST("m_dep" AS REAL) >= 0.8 +GROUP BY "fc", "price_range" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e46742c0eb0e0007f860cb2b0def54f0d5e6a02f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/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 \"fc\", \"price_range\", COUNT(*) AS \"row_count\"\nFROM \"m10\"\nWHERE CAST(\"m_dep\" AS REAL) >= 0.8\nGROUP BY \"fc\", \"price_range\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"fc\\\", \\\"price_range\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"m_dep\\\" AS REAL) >= 0.8\\nGROUP BY \\\"fc\\\", \\\"price_range\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"fc\", \"price_range\", \"row_count\"], \"rows\": [{\"fc\": \"0\", \"price_range\": \"1\", \"row_count\": 31}, {\"fc\": \"0\", \"price_range\": \"3\", \"row_count\": 27}, {\"fc\": \"0\", \"price_range\": \"0\", \"row_count\": 24}, {\"fc\": \"0\", \"price_range\": \"2\", \"row_count\": 21}, {\"fc\": \"1\", \"price_range\": \"3\", \"row_count\": 19}, {\"fc\": \"1\", \"price_range\": \"0\", \"row_count\": 16}, {\"fc\": \"1\", \"price_range\": \"1\", \"row_count\": 16}, {\"fc\": \"1\", \"price_range\": \"2\", \"row_count\": 15}, {\"fc\": \"5\", \"price_range\": \"2\", \"row_count\": 15}, {\"fc\": \"3\", \"price_range\": \"0\", \"row_count\": 14}, {\"fc\": \"3\", \"price_range\": \"1\", \"row_count\": 14}, {\"fc\": \"4\", \"price_range\": \"3\", \"row_count\": 13}, {\"fc\": \"5\", \"price_range\": \"1\", \"row_count\": 13}, {\"fc\": \"2\", \"price_range\": \"0\", \"row_count\": 12}, {\"fc\": \"3\", \"price_range\": \"3\", \"row_count\": 12}, {\"fc\": \"2\", \"price_range\": \"2\", \"row_count\": 11}, {\"fc\": \"2\", \"price_range\": \"3\", \"row_count\": 11}, {\"fc\": \"3\", \"price_range\": \"2\", \"row_count\": 11}, {\"fc\": \"4\", \"price_range\": \"1\", \"row_count\": 11}, {\"fc\": \"4\", \"price_range\": \"0\", \"row_count\": 10}, {\"fc\": \"6\", \"price_range\": \"0\", \"row_count\": 10}, {\"fc\": \"5\", \"price_range\": \"3\", \"row_count\": 9}, {\"fc\": \"7\", \"price_range\": \"2\", \"row_count\": 9}, {\"fc\": \"8\", \"price_range\": \"1\", \"row_count\": 9}, {\"fc\": \"5\", \"price_range\": \"0\", \"row_count\": 8}, {\"fc\": \"6\", \"price_range\": \"2\", \"row_count\": 8}, {\"fc\": \"6\", \"price_range\": \"3\", \"row_count\": 8}, {\"fc\": \"8\", \"price_range\": \"3\", \"row_count\": 8}, {\"fc\": \"10\", \"price_range\": \"1\", \"row_count\": 7}, {\"fc\": \"2\", \"price_range\": \"1\", \"row_count\": 7}, {\"fc\": \"13\", \"price_range\": \"0\", \"row_count\": 6}, {\"fc\": \"6\", \"price_range\": \"1\", \"row_count\": 6}, {\"fc\": \"7\", \"price_range\": \"0\", \"row_count\": 6}, {\"fc\": \"7\", \"price_range\": \"3\", \"row_count\": 6}, {\"fc\": \"9\", \"price_range\": \"2\", \"row_count\": 6}, {\"fc\": \"9\", \"price_range\": \"3\", \"row_count\": 6}, {\"fc\": \"12\", \"price_range\": \"1\", \"row_count\": 5}, {\"fc\": \"4\", \"price_range\": \"2\", \"row_count\": 5}, {\"fc\": \"10\", \"price_range\": \"2\", \"row_count\": 4}, {\"fc\": \"11\", \"price_range\": \"3\", \"row_count\": 4}, {\"fc\": \"8\", \"price_range\": \"0\", \"row_count\": 4}, {\"fc\": \"8\", \"price_range\": \"2\", \"row_count\": 4}, {\"fc\": \"10\", \"price_range\": \"0\", \"row_count\": 3}, {\"fc\": \"11\", \"price_range\": \"1\", \"row_count\": 3}, {\"fc\": \"12\", \"price_range\": \"2\", \"row_count\": 3}, {\"fc\": \"13\", \"price_range\": \"1\", \"row_count\": 3}, {\"fc\": \"13\", \"price_range\": \"3\", \"row_count\": 3}, {\"fc\": \"14\", \"price_range\": \"1\", \"row_count\": 3}, {\"fc\": \"9\", \"price_range\": \"1\", \"row_count\": 3}, {\"fc\": \"11\", \"price_range\": \"0\", \"row_count\": 2}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 1.38}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..10a0d0eeeb26b492f117e7e1a5b1d882ffbd214b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:41:10.064219+00:00", + "ended_at": "2026-05-19T15:41:19.428092+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_ab44158b16ca09ed", + "problem_id": "v2p_m10_362dc24fa11c0e33", + "dataset_id": "m10", + "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=fc, group_col_2=price_range.", + "bindings": { + "group_col": "fc", + "group_col_2": "price_range", + "predicate_col": "m_dep", + "predicate_op": ">=", + "predicate_value": 0.8, + "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": 947.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=49" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_ab44158b16ca09ed.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ab44158b16ca09ed", + "api_calls": 0, + "input_tokens": 15310, + "cached_input_tokens": 14720, + "output_tokens": 391, + "total_tokens": 15701, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9358.32, + "sql_execution_elapsed_ms_total": 1.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..897e6799c4f6c4b6e110041d98dda08018f1d716 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:19.424853+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": 9358.32, "started_at": "2026-05-19T15:41:10.065378+00:00", "ended_at": "2026-05-19T15:41:19.423724+00:00", "prompt_metrics": {"chars": 10812, "bytes_utf8": 10812, "lines": 352, "estimated_tokens": null}, "response_metrics": {"chars": 421, "bytes_utf8": 421, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15310, "cached_input_tokens": 14720, "output_tokens": 391, "reasoning_output_tokens": 267}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"fc\\\", \\\"price_range\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"m_dep\\\" AS REAL) >= 0.8\\nGROUP BY \\\"fc\\\", \\\"price_range\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the required template with group_col=\\\"fc\\\", group_col_2=\\\"price_range\\\", and predicate on \\\"m_dep\\\". Cast \\\"m_dep\\\" to REAL because the SQLite schema stores columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..006182d699c41a4ac2f0fa8fd0e3e4552c77b96f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ab44158b16ca09ed", + "api_calls": 0, + "input_tokens": 15310, + "cached_input_tokens": 14720, + "output_tokens": 391, + "total_tokens": 15701, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9358.32, + "sql_execution_elapsed_ms_total": 1.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f18ede4b660e33c9b8af0c4c0675a2fabed7f616 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/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=blue, measure_col=battery_power. +Result preview: [{"blue": "0", "total_measure": 1245961.0}, {"blue": "1", "total_measure": 1231076.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3c6abb0b4bbf71cc1011831a8c3651f30f9b31a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_ad1985aaa5521d01 +-- problem_id: v2p_m10_9cdef5077a00764e +-- realization_mode: agent +-- source_kind: agent +SELECT "blue", SUM(CAST("battery_power" AS REAL)) AS "total_measure" +FROM "m10" +GROUP BY "blue" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2a1952ae86559a348268a76b719d910903c735de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/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 \"blue\", SUM(CAST(\"battery_power\" AS REAL)) AS \"total_measure\"\nFROM \"m10\"\nGROUP BY \"blue\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"blue\\\", SUM(CAST(\\\"battery_power\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"blue\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"blue\", \"total_measure\"], \"rows\": [{\"blue\": \"0\", \"total_measure\": 1245961.0}, {\"blue\": \"1\", \"total_measure\": 1231076.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.36}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f34a249ee358afc48e9700adc640f5667c1bcbd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:28:18.021101+00:00", + "ended_at": "2026-05-19T15:28:29.578662+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_ad1985aaa5521d01", + "problem_id": "v2p_m10_9cdef5077a00764e", + "dataset_id": "m10", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=blue, measure_col=battery_power.", + "bindings": { + "group_col": "blue", + "measure_col": "battery_power", + "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": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=0" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_ad1985aaa5521d01.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ad1985aaa5521d01", + "api_calls": 0, + "input_tokens": 15216, + "cached_input_tokens": 0, + "output_tokens": 288, + "total_tokens": 15504, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11552.05, + "sql_execution_elapsed_ms_total": 1.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..af21f1adb5c8bad69e55ae80f5026042670b2905 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:29.575301+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": 11552.05, "started_at": "2026-05-19T15:28:18.022271+00:00", "ended_at": "2026-05-19T15:28:29.574347+00:00", "prompt_metrics": {"chars": 10515, "bytes_utf8": 10515, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 370, "bytes_utf8": 370, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15216, "cached_input_tokens": 0, "output_tokens": 288, "reasoning_output_tokens": 187}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"blue\\\", SUM(CAST(\\\"battery_power\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"blue\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required grouped-sum template with group_col=\\\"blue\\\" and measure_col=\\\"battery_power\\\". Cast \\\"battery_power\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..05c90d5e356c40c6c6e660debc17c69faa76b50a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ad1985aaa5521d01", + "api_calls": 0, + "input_tokens": 15216, + "cached_input_tokens": 0, + "output_tokens": 288, + "total_tokens": 15504, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11552.05, + "sql_execution_elapsed_ms_total": 1.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c6597f520462ec2025110aa8a47f4af54cab5fa9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/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=m_dep, measure_col=sc_h. +Result preview: [{"m_dep": 0.1, "group_value": 4050.0}, {"m_dep": 0.8, "group_value": 2647.0}, {"m_dep": 0.2, "group_value": 2644.0}, {"m_dep": 0.5, "group_value": 2427.0}, {"m_dep": 0.9, "group_value": 2420.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d3bb58dcc851e7293cf88eca79a33ded7bee3ceb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_ae4d459c0419ee70 +-- problem_id: v2p_m10_4ad16de4c0fa7b79 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT CAST("m_dep" AS REAL) AS "m_dep", + SUM(CAST("sc_h" AS REAL)) AS "group_value" + FROM "m10" + GROUP BY CAST("m_dep" AS REAL) +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."m_dep", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aa7d1d87b55fe81eee48164148c798f2ea94ed78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT CAST(\"m_dep\" AS REAL) AS \"m_dep\",\n SUM(CAST(\"sc_h\" AS REAL)) AS \"group_value\"\n FROM \"m10\"\n GROUP BY CAST(\"m_dep\" AS REAL)\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"m_dep\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT CAST(\\\"m_dep\\\" AS REAL) AS \\\"m_dep\\\",\\n SUM(CAST(\\\"sc_h\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m10\\\"\\n GROUP BY CAST(\\\"m_dep\\\" AS REAL)\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"m_dep\\\", 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\": [\"m_dep\", \"group_value\"], \"rows\": [{\"m_dep\": 0.1, \"group_value\": 4050.0}, {\"m_dep\": 0.8, \"group_value\": 2647.0}, {\"m_dep\": 0.2, \"group_value\": 2644.0}, {\"m_dep\": 0.5, \"group_value\": 2427.0}, {\"m_dep\": 0.9, \"group_value\": 2420.0}, {\"m_dep\": 0.3, \"group_value\": 2418.0}, {\"m_dep\": 0.7, \"group_value\": 2409.0}, {\"m_dep\": 0.6, \"group_value\": 2251.0}, {\"m_dep\": 0.4, \"group_value\": 2107.0}, {\"m_dep\": 1.0, \"group_value\": 1240.0}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.8}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0f47454cca59bbc8277aaac6b48e7441f1647a24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:49:21.392403+00:00", + "ended_at": "2026-05-19T15:49:33.245904+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_ae4d459c0419ee70", + "problem_id": "v2p_m10_4ad16de4c0fa7b79", + "dataset_id": "m10", + "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=m_dep, measure_col=sc_h.", + "bindings": { + "group_col": "m_dep", + "measure_col": "sc_h", + "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": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=80" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_ae4d459c0419ee70.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ae4d459c0419ee70", + "api_calls": 0, + "input_tokens": 15353, + "cached_input_tokens": 14720, + "output_tokens": 603, + "total_tokens": 15956, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11842.45, + "sql_execution_elapsed_ms_total": 3.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e2025e5bf5d2333e49af24c3db93d039e9786b8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:33.239089+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": 11842.45, "started_at": "2026-05-19T15:49:21.394963+00:00", "ended_at": "2026-05-19T15:49:33.237461+00:00", "prompt_metrics": {"chars": 11053, "bytes_utf8": 11053, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 686, "bytes_utf8": 686, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15353, "cached_input_tokens": 14720, "output_tokens": 603, "reasoning_output_tokens": 396}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT CAST(\\\"m_dep\\\" AS REAL) AS \\\"m_dep\\\",\\n SUM(CAST(\\\"sc_h\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m10\\\"\\n GROUP BY CAST(\\\"m_dep\\\" AS REAL)\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"m_dep\\\", 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=\\\"m_dep\\\" and measure_col=\\\"sc_h\\\". Casts to REAL are included because the SQLite schema stores these numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bb7354625d51b919d7e47778d0b1eebf9ce8874c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ae4d459c0419ee70", + "api_calls": 0, + "input_tokens": 15353, + "cached_input_tokens": 14720, + "output_tokens": 603, + "total_tokens": 15956, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11842.45, + "sql_execution_elapsed_ms_total": 3.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee68f116a2464e27f1ef7bd590d51e36a397b11a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/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=talk_time, measure_col=sc_w. +Result preview: [{"talk_time": 20, "ram": 1457, "total_measure": 26.0, "share_within_group": 4.506065857885615}, {"talk_time": 11, "ram": 3704, "total_measure": 22.0, "share_within_group": 3.949730700179533}, {"talk_time": 17, "ram": 3033, "total_measure": 19.0, "share_within_group": 3.4296028880866425}, {"talk_time": 5, "ram": 1243, "total_measure": 18.0, "share_within_group": 3.339517625231911}, {"talk_time": 14, "ram": 448, "total_measure": 17.0, "share_within_group": 3.3203125}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..34e907d04e0349e0f7757e74a76e3544b9b52b0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_b2085b43faae898a +-- problem_id: v2p_m10_d9c089dea73d4fc5 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("talk_time" AS INTEGER) AS "talk_time", + CAST("ram" AS INTEGER) AS "ram", + SUM(CAST("sc_w" AS REAL)) AS "total_measure", + SUM(CAST("sc_w" AS REAL)) * 100.0 / SUM(SUM(CAST("sc_w" AS REAL))) OVER (PARTITION BY CAST("talk_time" AS INTEGER)) AS "share_within_group" +FROM "m10" +GROUP BY CAST("talk_time" AS INTEGER), CAST("ram" AS INTEGER) +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..50a9e3c704f9a2ce564f40591a01b7f21db6eabf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/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 CAST(\"talk_time\" AS INTEGER) AS \"talk_time\",\n CAST(\"ram\" AS INTEGER) AS \"ram\",\n SUM(CAST(\"sc_w\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"sc_w\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"sc_w\" AS REAL))) OVER (PARTITION BY CAST(\"talk_time\" AS INTEGER)) AS \"share_within_group\"\nFROM \"m10\"\nGROUP BY CAST(\"talk_time\" AS INTEGER), CAST(\"ram\" AS INTEGER)\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT CAST(\\\"talk_time\\\" AS INTEGER) AS \\\"talk_time\\\",\\n CAST(\\\"ram\\\" AS INTEGER) AS \\\"ram\\\",\\n SUM(CAST(\\\"sc_w\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"sc_w\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"sc_w\\\" AS REAL))) OVER (PARTITION BY CAST(\\\"talk_time\\\" AS INTEGER)) AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY CAST(\\\"talk_time\\\" AS INTEGER), CAST(\\\"ram\\\" AS INTEGER)\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"talk_time\", \"ram\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"talk_time\": 20, \"ram\": 1457, \"total_measure\": 26.0, \"share_within_group\": 4.506065857885615}, {\"talk_time\": 11, \"ram\": 3704, \"total_measure\": 22.0, \"share_within_group\": 3.949730700179533}, {\"talk_time\": 17, \"ram\": 3033, \"total_measure\": 19.0, \"share_within_group\": 3.4296028880866425}, {\"talk_time\": 5, \"ram\": 1243, \"total_measure\": 18.0, \"share_within_group\": 3.339517625231911}, {\"talk_time\": 14, \"ram\": 448, \"total_measure\": 17.0, \"share_within_group\": 3.3203125}, {\"talk_time\": 14, \"ram\": 1601, \"total_measure\": 17.0, \"share_within_group\": 3.3203125}, {\"talk_time\": 14, \"ram\": 2776, \"total_measure\": 17.0, \"share_within_group\": 3.3203125}, {\"talk_time\": 10, \"ram\": 3869, \"total_measure\": 18.0, \"share_within_group\": 3.185840707964602}, {\"talk_time\": 5, \"ram\": 2518, \"total_measure\": 17.0, \"share_within_group\": 3.1539888682745825}, {\"talk_time\": 5, \"ram\": 3629, \"total_measure\": 17.0, \"share_within_group\": 3.1539888682745825}, {\"talk_time\": 18, \"ram\": 2360, \"total_measure\": 16.0, \"share_within_group\": 3.131115459882583}, {\"talk_time\": 18, \"ram\": 3411, \"total_measure\": 16.0, \"share_within_group\": 3.131115459882583}, {\"talk_time\": 14, \"ram\": 1087, \"total_measure\": 16.0, \"share_within_group\": 3.125}, {\"talk_time\": 14, \"ram\": 2638, \"total_measure\": 16.0, \"share_within_group\": 3.125}, {\"talk_time\": 3, \"ram\": 820, \"total_measure\": 18.0, \"share_within_group\": 3.114186851211073}, {\"talk_time\": 3, \"ram\": 3162, \"total_measure\": 18.0, \"share_within_group\": 3.114186851211073}, {\"talk_time\": 8, \"ram\": 2452, \"total_measure\": 17.0, \"share_within_group\": 3.102189781021898}, {\"talk_time\": 8, \"ram\": 3701, \"total_measure\": 17.0, \"share_within_group\": 3.102189781021898}, {\"talk_time\": 17, \"ram\": 2944, \"total_measure\": 17.0, \"share_within_group\": 3.068592057761733}, {\"talk_time\": 17, \"ram\": 3685, \"total_measure\": 17.0, \"share_within_group\": 3.068592057761733}, {\"talk_time\": 11, \"ram\": 3534, \"total_measure\": 17.0, \"share_within_group\": 3.0520646319569122}, {\"talk_time\": 4, \"ram\": 3242, \"total_measure\": 22.0, \"share_within_group\": 3.0344827586206895}, {\"talk_time\": 10, \"ram\": 593, \"total_measure\": 17.0, \"share_within_group\": 3.0088495575221237}, {\"talk_time\": 13, \"ram\": 1462, \"total_measure\": 18.0, \"share_within_group\": 3.005008347245409}, {\"talk_time\": 5, \"ram\": 2577, \"total_measure\": 16.0, \"share_within_group\": 2.968460111317254}, {\"talk_time\": 5, \"ram\": 3442, \"total_measure\": 16.0, \"share_within_group\": 2.968460111317254}, {\"talk_time\": 5, \"ram\": 3809, \"total_measure\": 16.0, \"share_within_group\": 2.968460111317254}, {\"talk_time\": 19, \"ram\": 681, \"total_measure\": 18.0, \"share_within_group\": 2.9220779220779223}, {\"talk_time\": 17, \"ram\": 3480, \"total_measure\": 16.0, \"share_within_group\": 2.888086642599278}, {\"talk_time\": 13, \"ram\": 1829, \"total_measure\": 17.0, \"share_within_group\": 2.8380634390651087}, {\"talk_time\": 10, \"ram\": 2870, \"total_measure\": 16.0, \"share_within_group\": 2.831858407079646}, {\"talk_time\": 5, \"ram\": 3153, \"total_measure\": 15.0, \"share_within_group\": 2.782931354359926}, {\"talk_time\": 9, \"ram\": 1754, \"total_measure\": 18.0, \"share_within_group\": 2.773497688751926}, {\"talk_time\": 3, \"ram\": 2458, \"total_measure\": 16.0, \"share_within_group\": 2.7681660899653977}, {\"talk_time\": 3, \"ram\": 3978, \"total_measure\": 16.0, \"share_within_group\": 2.7681660899653977}, {\"talk_time\": 19, \"ram\": 2563, \"total_measure\": 17.0, \"share_within_group\": 2.75974025974026}, {\"talk_time\": 8, \"ram\": 2677, \"total_measure\": 15.0, \"share_within_group\": 2.7372262773722627}, {\"talk_time\": 8, \"ram\": 3755, \"total_measure\": 15.0, \"share_within_group\": 2.7372262773722627}, {\"talk_time\": 14, \"ram\": 445, \"total_measure\": 14.0, \"share_within_group\": 2.734375}, {\"talk_time\": 14, \"ram\": 3961, \"total_measure\": 14.0, \"share_within_group\": 2.734375}, {\"talk_time\": 2, \"ram\": 1571, \"total_measure\": 16.0, \"share_within_group\": 2.7210884353741496}, {\"talk_time\": 2, \"ram\": 2355, \"total_measure\": 16.0, \"share_within_group\": 2.7210884353741496}, {\"talk_time\": 2, \"ram\": 3900, \"total_measure\": 16.0, \"share_within_group\": 2.7210884353741496}, {\"talk_time\": 17, \"ram\": 1295, \"total_measure\": 15.0, \"share_within_group\": 2.707581227436823}, {\"talk_time\": 17, \"ram\": 2399, \"total_measure\": 15.0, \"share_within_group\": 2.707581227436823}, {\"talk_time\": 17, \"ram\": 3397, \"total_measure\": 15.0, \"share_within_group\": 2.707581227436823}, {\"talk_time\": 6, \"ram\": 3559, \"total_measure\": 17.0, \"share_within_group\": 2.7027027027027026}, {\"talk_time\": 11, \"ram\": 568, \"total_measure\": 15.0, \"share_within_group\": 2.6929982046678638}, {\"talk_time\": 11, \"ram\": 1767, \"total_measure\": 15.0, \"share_within_group\": 2.6929982046678638}, {\"talk_time\": 12, \"ram\": 1418, \"total_measure\": 17.0, \"share_within_group\": 2.65625}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.88}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..86dfecc7be70709d68f9f572ace747293f277d16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:34:25.460161+00:00", + "ended_at": "2026-05-19T15:34:51.240254+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_b2085b43faae898a", + "problem_id": "v2p_m10_d9c089dea73d4fc5", + "dataset_id": "m10", + "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=talk_time, measure_col=sc_w.", + "bindings": { + "group_col": "talk_time", + "measure_col": "sc_w", + "item_col": "ram", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=25" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_b2085b43faae898a.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_b2085b43faae898a", + "api_calls": 0, + "input_tokens": 15334, + "cached_input_tokens": 12032, + "output_tokens": 1234, + "total_tokens": 16568, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 25770.29, + "sql_execution_elapsed_ms_total": 5.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..98d46121d196a60149b4c1015692e1920f1be35a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:51.232940+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": 25770.29, "started_at": "2026-05-19T15:34:25.461908+00:00", "ended_at": "2026-05-19T15:34:51.232221+00:00", "prompt_metrics": {"chars": 10910, "bytes_utf8": 10910, "lines": 350, "estimated_tokens": null}, "response_metrics": {"chars": 708, "bytes_utf8": 708, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15334, "cached_input_tokens": 12032, "output_tokens": 1234, "reasoning_output_tokens": 1034}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT CAST(\\\"talk_time\\\" AS INTEGER) AS \\\"talk_time\\\",\\n CAST(\\\"ram\\\" AS INTEGER) AS \\\"ram\\\",\\n SUM(CAST(\\\"sc_w\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"sc_w\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"sc_w\\\" AS REAL))) OVER (PARTITION BY CAST(\\\"talk_time\\\" AS INTEGER)) AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY CAST(\\\"talk_time\\\" AS INTEGER), CAST(\\\"ram\\\" AS INTEGER)\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied template tpl_tpcds_within_group_share with group_col=talk_time, item_col=ram, and measure_col=sc_w. Cast numeric-like TEXT columns to numeric types for correct aggregation and partitioning in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1dbe496be412248c3386d63c2c2de4a828c9192a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_b2085b43faae898a", + "api_calls": 0, + "input_tokens": 15334, + "cached_input_tokens": 12032, + "output_tokens": 1234, + "total_tokens": 16568, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 25770.29, + "sql_execution_elapsed_ms_total": 5.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5008ced9013dd6441cf0b61e66de890c617d5358 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10515, "bytes_utf8": 10515, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 15216, "cached_input_tokens": 12032, "output_tokens": 308, "reasoning_output_tokens": 215}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..138046eb87f0059a6f4740d7a32cb72f41cc3ebd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_b3d232a7bf0872bb", + "api_calls": 0, + "input_tokens": 15216, + "cached_input_tokens": 12032, + "output_tokens": 308, + "total_tokens": 15524, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8769.37, + "sql_execution_elapsed_ms_total": 1.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8174a1fc0c591923e9b2603cbdc394150b6b7131 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:29.580451+00:00", + "ended_at": "2026-05-19T15:28:38.349847+00:00", + "elapsed_ms": 8769.37, + "prompt_metrics": { + "chars": 10515, + "bytes_utf8": 10515, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 717, + "bytes_utf8": 717, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 363, + "bytes_utf8": 363, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15216, + "cached_input_tokens": 12032, + "output_tokens": 308, + "reasoning_output_tokens": 215 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..049ec541f1e2c11e6cc1aa99c3097b6db095be3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=blue, measure_col=battery_power.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "blue", + "measure_col": "battery_power", + "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": 1487.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc61e078c73548a5ae7537434f59ce7a5597f4f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-508a-7fa2-a839-8164d8d1a15f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"blue\\\", SUM(CAST(\\\"battery_power\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"blue\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the provided grouped numeric sum template with group_col=\\\"blue\\\" and measure_col=\\\"battery_power\\\". CAST is included because the schema snapshot stores columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15216,"cached_input_tokens":12032,"output_tokens":308,"reasoning_output_tokens":215}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7efc5485ba409f806af32fe30333b3cb06c996be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"blue\", SUM(CAST(\"battery_power\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"blue\"\nORDER BY total_measure DESC;","notes":"Used the provided grouped numeric sum template with group_col=\"blue\" and measure_col=\"battery_power\". CAST is included because the schema snapshot stores columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b3d232a7bf0872bb/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3307db5c976c4b0157fd0b8ac6240d1a191f45ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10585, "bytes_utf8": 10585, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_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": 10585, "bytes_utf8": 10585, "lines": 348, "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": 396, "bytes_utf8": 396, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15226, "cached_input_tokens": 14720, "output_tokens": 303, "reasoning_output_tokens": 198}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..60d91edb6e27368883f2b79bd3424aa453c193c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "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": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_b523c5c5ef9fb67f", + "api_calls": 0, + "input_tokens": 15226, + "cached_input_tokens": 14720, + "output_tokens": 303, + "total_tokens": 15529, + "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": 13323.05, + "sql_execution_elapsed_ms_total": 4.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..176eea0c9863d9b5b5f4e74271c7fc8891d5e35b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:00.146567+00:00", + "ended_at": "2026-05-19T16:08:03.849054+00:00", + "elapsed_ms": 3702.46, + "returncode": 1, + "prompt_metrics": { + "chars": 10585, + "bytes_utf8": 10585, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..629aa985397012b71dcb233d84e16c134b96a43e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/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": "2026-05-19T16:08:04.851603+00:00", + "ended_at": "2026-05-19T16:08:14.472237+00:00", + "elapsed_ms": 9620.59, + "prompt_metrics": { + "chars": 10585, + "bytes_utf8": 10585, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 762, + "bytes_utf8": 762, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 396, + "bytes_utf8": 396, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15226, + "cached_input_tokens": 14720, + "output_tokens": 303, + "reasoning_output_tokens": 198 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6180b54468eaca48f8c145d70b399ad0095d2f6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=fc, measure_col=talk_time.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "fc", + "measure_col": "talk_time", + "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": 14.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6180b54468eaca48f8c145d70b399ad0095d2f6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=fc, measure_col=talk_time.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "fc", + "measure_col": "talk_time", + "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": 14.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5dd94fb5467673f953a545d09ad81712366dcc5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-7cb0-7da0-aea8-c2cbcff39092"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6034924b7927f6ea8c910fe9ef4680e669a4db0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-7cb0-7da0-aea8-c2cbcff39092"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d4335385a19bd3cd6d30a23e476402498c4e0090 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-8f01-7fe1-a46d-3fdec8812e7f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"fc\\\",\\n AVG(CAST(\\\"talk_time\\\" AS REAL)) OVER (PARTITION BY \\\"fc\\\") AS \\\"avg_measure\\\"\\nFROM \\\"m10\\\"\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Used the requested Window Partition Average template with group_col=\\\"fc\\\" and measure_col=\\\"talk_time\\\". Cast \\\"talk_time\\\" to REAL because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15226,"cached_input_tokens":14720,"output_tokens":303,"reasoning_output_tokens":198}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a844e5cb36c17ef3f6412d4fe56f9f9b932f63d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"fc\",\n AVG(CAST(\"talk_time\" AS REAL)) OVER (PARTITION BY \"fc\") AS \"avg_measure\"\nFROM \"m10\"\nORDER BY \"avg_measure\" DESC;","notes":"Used the requested Window Partition Average template with group_col=\"fc\" and measure_col=\"talk_time\". Cast \"talk_time\" to REAL because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b523c5c5ef9fb67f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fef0f1ad803c2b850e4a82de4d8e7600b202b2df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/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=dual_sim, measure_col=mobile_wt. +Result preview: [{"dual_sim": "0", "px_height": "730", "total_measure": 809.0, "share_within_group": 0.5866484895070412}, {"dual_sim": "1", "px_height": "371", "total_measure": 806.0, "share_within_group": 0.5652332463743723}, {"dual_sim": "0", "px_height": "344", "total_measure": 684.0, "share_within_group": 0.49600440892807934}, {"dual_sim": "0", "px_height": "168", "total_measure": 654.0, "share_within_group": 0.47424982958912854}, {"dual_sim": "0", "px_height": "273", "total_measure": 606.0, "share_within_group": 0.4394425026468072}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..484d1a763222525522852e406e917278cbfdd762 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_b65522f077e61aed +-- problem_id: v2p_m10_673fd47aec21fdcf +-- realization_mode: agent +-- source_kind: agent +SELECT + "dual_sim", + "px_height", + SUM(CAST("mobile_wt" AS REAL)) AS total_measure, + SUM(CAST("mobile_wt" AS REAL)) * 100.0 / SUM(SUM(CAST("mobile_wt" AS REAL))) OVER (PARTITION BY "dual_sim") AS share_within_group +FROM "m10" +GROUP BY "dual_sim", "px_height" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..08c1f1d35455fb984bd04a191fac10ec19049a44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/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 \"dual_sim\",\n \"px_height\",\n SUM(CAST(\"mobile_wt\" AS REAL)) AS total_measure,\n SUM(CAST(\"mobile_wt\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"mobile_wt\" AS REAL))) OVER (PARTITION BY \"dual_sim\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"dual_sim\", \"px_height\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"dual_sim\\\",\\n \\\"px_height\\\",\\n SUM(CAST(\\\"mobile_wt\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"mobile_wt\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"mobile_wt\\\" AS REAL))) OVER (PARTITION BY \\\"dual_sim\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"dual_sim\\\", \\\"px_height\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"dual_sim\", \"px_height\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"dual_sim\": \"0\", \"px_height\": \"730\", \"total_measure\": 809.0, \"share_within_group\": 0.5866484895070412}, {\"dual_sim\": \"1\", \"px_height\": \"371\", \"total_measure\": 806.0, \"share_within_group\": 0.5652332463743723}, {\"dual_sim\": \"0\", \"px_height\": \"344\", \"total_measure\": 684.0, \"share_within_group\": 0.49600440892807934}, {\"dual_sim\": \"0\", \"px_height\": \"168\", \"total_measure\": 654.0, \"share_within_group\": 0.47424982958912854}, {\"dual_sim\": \"0\", \"px_height\": \"273\", \"total_measure\": 606.0, \"share_within_group\": 0.4394425026468072}, {\"dual_sim\": \"0\", \"px_height\": \"347\", \"total_measure\": 598.0, \"share_within_group\": 0.4336412814897536}, {\"dual_sim\": \"0\", \"px_height\": \"356\", \"total_measure\": 593.0, \"share_within_group\": 0.4300155182665951}, {\"dual_sim\": \"1\", \"px_height\": \"447\", \"total_measure\": 594.0, \"share_within_group\": 0.4165614743751578}, {\"dual_sim\": \"0\", \"px_height\": \"674\", \"total_measure\": 564.0, \"share_within_group\": 0.40898609157227594}, {\"dual_sim\": \"1\", \"px_height\": \"157\", \"total_measure\": 577.0, \"share_within_group\": 0.4046396813374849}, {\"dual_sim\": \"1\", \"px_height\": \"217\", \"total_measure\": 556.0, \"share_within_group\": 0.38991276052624196}, {\"dual_sim\": \"0\", \"px_height\": \"881\", \"total_measure\": 530.0, \"share_within_group\": 0.38433090165479833}, {\"dual_sim\": \"1\", \"px_height\": \"1285\", \"total_measure\": 540.0, \"share_within_group\": 0.3786922494319616}, {\"dual_sim\": \"1\", \"px_height\": \"1226\", \"total_measure\": 535.0, \"share_within_group\": 0.375185839714999}, {\"dual_sim\": \"1\", \"px_height\": \"179\", \"total_measure\": 532.0, \"share_within_group\": 0.37308199388482144}, {\"dual_sim\": \"0\", \"px_height\": \"518\", \"total_measure\": 510.0, \"share_within_group\": 0.36982784876216446}, {\"dual_sim\": \"1\", \"px_height\": \"177\", \"total_measure\": 524.0, \"share_within_group\": 0.36747173833768126}, {\"dual_sim\": \"0\", \"px_height\": \"875\", \"total_measure\": 505.0, \"share_within_group\": 0.36620208553900596}, {\"dual_sim\": \"1\", \"px_height\": \"519\", \"total_measure\": 520.0, \"share_within_group\": 0.3646666105641112}, {\"dual_sim\": \"0\", \"px_height\": \"1362\", \"total_measure\": 502.0, \"share_within_group\": 0.3640266276051109}, {\"dual_sim\": \"0\", \"px_height\": \"334\", \"total_measure\": 497.0, \"share_within_group\": 0.3604008643819524}, {\"dual_sim\": \"0\", \"px_height\": \"475\", \"total_measure\": 485.0, \"share_within_group\": 0.35169903264637203}, {\"dual_sim\": \"1\", \"px_height\": \"248\", \"total_measure\": 500.0, \"share_within_group\": 0.35064097169626074}, {\"dual_sim\": \"0\", \"px_height\": \"461\", \"total_measure\": 480.0, \"share_within_group\": 0.3480732694232136}, {\"dual_sim\": \"0\", \"px_height\": \"649\", \"total_measure\": 475.0, \"share_within_group\": 0.3444475062000551}, {\"dual_sim\": \"1\", \"px_height\": \"418\", \"total_measure\": 488.0, \"share_within_group\": 0.3422255883755505}, {\"dual_sim\": \"1\", \"px_height\": \"56\", \"total_measure\": 483.0, \"share_within_group\": 0.3387191786585879}, {\"dual_sim\": \"1\", \"px_height\": \"577\", \"total_measure\": 477.0, \"share_within_group\": 0.33451148699823274}, {\"dual_sim\": \"0\", \"px_height\": \"725\", \"total_measure\": 461.0, \"share_within_group\": 0.33429536917521135}, {\"dual_sim\": \"1\", \"px_height\": \"115\", \"total_measure\": 475.0, \"share_within_group\": 0.33310892311144774}, {\"dual_sim\": \"1\", \"px_height\": \"468\", \"total_measure\": 472.0, \"share_within_group\": 0.33100507728127015}, {\"dual_sim\": \"1\", \"px_height\": \"546\", \"total_measure\": 469.0, \"share_within_group\": 0.3289012314510926}, {\"dual_sim\": \"0\", \"px_height\": \"584\", \"total_measure\": 453.0, \"share_within_group\": 0.32849414801815785}, {\"dual_sim\": \"1\", \"px_height\": \"361\", \"total_measure\": 467.0, \"share_within_group\": 0.32749866756430757}, {\"dual_sim\": \"1\", \"px_height\": \"227\", \"total_measure\": 464.0, \"share_within_group\": 0.32539482173413}, {\"dual_sim\": \"0\", \"px_height\": \"1438\", \"total_measure\": 447.0, \"share_within_group\": 0.32414323215036767}, {\"dual_sim\": \"0\", \"px_height\": \"954\", \"total_measure\": 446.0, \"share_within_group\": 0.323418079505736}, {\"dual_sim\": \"1\", \"px_height\": \"82\", \"total_measure\": 460.0, \"share_within_group\": 0.3225896939605599}, {\"dual_sim\": \"1\", \"px_height\": \"912\", \"total_measure\": 460.0, \"share_within_group\": 0.3225896939605599}, {\"dual_sim\": \"0\", \"px_height\": \"68\", \"total_measure\": 442.0, \"share_within_group\": 0.32051746892720917}, {\"dual_sim\": \"1\", \"px_height\": \"209\", \"total_measure\": 453.0, \"share_within_group\": 0.3176807203568123}, {\"dual_sim\": \"1\", \"px_height\": \"983\", \"total_measure\": 450.0, \"share_within_group\": 0.3155768745266347}, {\"dual_sim\": \"0\", \"px_height\": \"485\", \"total_measure\": 434.0, \"share_within_group\": 0.3147162477701556}, {\"dual_sim\": \"1\", \"px_height\": \"275\", \"total_measure\": 448.0, \"share_within_group\": 0.31417431063984963}, {\"dual_sim\": \"1\", \"px_height\": \"308\", \"total_measure\": 448.0, \"share_within_group\": 0.31417431063984963}, {\"dual_sim\": \"0\", \"px_height\": \"59\", \"total_measure\": 432.0, \"share_within_group\": 0.31326594248089223}, {\"dual_sim\": \"1\", \"px_height\": \"692\", \"total_measure\": 446.0, \"share_within_group\": 0.31277174675306463}, {\"dual_sim\": \"1\", \"px_height\": \"322\", \"total_measure\": 445.0, \"share_within_group\": 0.3120704648096721}, {\"dual_sim\": \"0\", \"px_height\": \"134\", \"total_measure\": 428.0, \"share_within_group\": 0.3103653319023654}, {\"dual_sim\": \"1\", \"px_height\": \"846\", \"total_measure\": 440.0, \"share_within_group\": 0.30856405509270945}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 12.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..da14a83aacbdcbfcd8deb21d4039ce47671f4b4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:37:59.129855+00:00", + "ended_at": "2026-05-19T15:38:11.417363+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_b65522f077e61aed", + "problem_id": "v2p_m10_673fd47aec21fdcf", + "dataset_id": "m10", + "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=dual_sim, measure_col=mobile_wt.", + "bindings": { + "group_col": "dual_sim", + "measure_col": "mobile_wt", + "item_col": "px_height", + "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": 160.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m10/sql/v2q_m10_b65522f077e61aed.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_b65522f077e61aed", + "api_calls": 0, + "input_tokens": 15337, + "cached_input_tokens": 14720, + "output_tokens": 575, + "total_tokens": 15912, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12269.46, + "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_b/m10/artifacts/v2q_m10_b65522f077e61aed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c2bb3f54aa379c200dfccefe8bc8df1fb0897afc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:11.402164+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": 12269.46, "started_at": "2026-05-19T15:37:59.131099+00:00", "ended_at": "2026-05-19T15:38:11.400591+00:00", "prompt_metrics": {"chars": 10921, "bytes_utf8": 10921, "lines": 350, "estimated_tokens": null}, "response_metrics": {"chars": 566, "bytes_utf8": 566, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15337, "cached_input_tokens": 14720, "output_tokens": 575, "reasoning_output_tokens": 405}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"dual_sim\\\",\\n \\\"px_height\\\",\\n SUM(CAST(\\\"mobile_wt\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"mobile_wt\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"mobile_wt\\\" AS REAL))) OVER (PARTITION BY \\\"dual_sim\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"dual_sim\\\", \\\"px_height\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the planned template with group_col=\\\"dual_sim\\\", item_col=\\\"px_height\\\", and measure_col=\\\"mobile_wt\\\". Cast \\\"mobile_wt\\\" to REAL because the schema stores values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..139c25f86468d1ffa523537bba829ab5f1d768e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b65522f077e61aed/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_b65522f077e61aed", + "api_calls": 0, + "input_tokens": 15337, + "cached_input_tokens": 14720, + "output_tokens": 575, + "total_tokens": 15912, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12269.46, + "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_b/m10/artifacts/v2q_m10_b65522f077e61aed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..71dfaec78dba89e1e85a36595636379f2d142a22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/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=m_dep, measure_col=sc_h. +Result preview: [{"m_dep": "0.1", "group_value": 4050.0}, {"m_dep": "0.8", "group_value": 2647.0}, {"m_dep": "0.2", "group_value": 2644.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..dc5b4247b27ec1e89de8ed7295780e84ed33f47e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_b6af1db9fd648200 +-- problem_id: v2p_m10_8397eadc8080ebd6 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "m_dep", SUM(CAST("sc_h" AS REAL)) AS group_value + FROM "m10" + GROUP BY "m_dep" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."m_dep", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c57609311ee2705d7f8b43049be1e1b6f694ce25 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/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 \"m_dep\", SUM(CAST(\"sc_h\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"m_dep\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"m_dep\", 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 \\\"m_dep\\\", SUM(CAST(\\\"sc_h\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"m_dep\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"m_dep\\\", 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\": [\"m_dep\", \"group_value\"], \"rows\": [{\"m_dep\": \"0.1\", \"group_value\": 4050.0}, {\"m_dep\": \"0.8\", \"group_value\": 2647.0}, {\"m_dep\": \"0.2\", \"group_value\": 2644.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.34}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a1eed45ccdfd51b6f57ca84aedcdbf629651402d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:49:09.009328+00:00", + "ended_at": "2026-05-19T15:49:21.391012+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_b6af1db9fd648200", + "problem_id": "v2p_m10_8397eadc8080ebd6", + "dataset_id": "m10", + "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=m_dep, measure_col=sc_h.", + "bindings": { + "group_col": "m_dep", + "measure_col": "sc_h", + "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": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=80" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_b6af1db9fd648200.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_b6af1db9fd648200", + "api_calls": 0, + "input_tokens": 15351, + "cached_input_tokens": 12032, + "output_tokens": 448, + "total_tokens": 15799, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12373.9, + "sql_execution_elapsed_ms_total": 1.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fbb8142d310892aab3c92d6493045ad646b82ab5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:21.386851+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": 12373.9, "started_at": "2026-05-19T15:49:09.011981+00:00", "ended_at": "2026-05-19T15:49:21.385932+00:00", "prompt_metrics": {"chars": 11050, "bytes_utf8": 11050, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 596, "bytes_utf8": 596, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15351, "cached_input_tokens": 12032, "output_tokens": 448, "reasoning_output_tokens": 281}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"m_dep\\\", SUM(CAST(\\\"sc_h\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"m_dep\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"m_dep\\\", 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=\\\"m_dep\\\" and measure_col=\\\"sc_h\\\". Cast \\\"sc_h\\\" to REAL because the SQLite schema stores values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9bb6ec49d1e12c91e12d586a2811523602ec65b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_b6af1db9fd648200", + "api_calls": 0, + "input_tokens": 15351, + "cached_input_tokens": 12032, + "output_tokens": 448, + "total_tokens": 15799, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12373.9, + "sql_execution_elapsed_ms_total": 1.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b6af1db9fd648200/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b776607b8fdbcb7c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b776607b8fdbcb7c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e68954a8afba15b48f0a277a3a8b06a450d63ddb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b776607b8fdbcb7c/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "1", "support": 1014, "support_share": 0.507, "support_rank": 1}, {"value_label": "0", "support": 986, "support_share": 0.493, "support_rank": 2}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b776607b8fdbcb7c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b776607b8fdbcb7c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..271e92237e986da1b52fe6d9eb9f4a3956ef33c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b776607b8fdbcb7c/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_b776607b8fdbcb7c +-- problem_id: v2p_m10_c6ab3657417764e3 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "wifi" AS value_label, COUNT(*) AS support + FROM "m10" + GROUP BY "wifi" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b776607b8fdbcb7c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b776607b8fdbcb7c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bf2165cd0a81c59df996cdc362c0ed9c7f5357b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b776607b8fdbcb7c/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\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_m10_b776607b8fdbcb7c\n-- problem_id: v2p_m10_c6ab3657417764e3\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"wifi\" AS value_label, COUNT(*) AS support\n FROM \"m10\"\n GROUP BY \"wifi\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\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_m10_b776607b8fdbcb7c\\n-- problem_id: v2p_m10_c6ab3657417764e3\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"wifi\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m10\\\"\\n GROUP BY \\\"wifi\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"1\", \"support\": 1014, \"support_share\": 0.507, \"support_rank\": 1}, {\"value_label\": \"0\", \"support\": 986, \"support_share\": 0.493, \"support_rank\": 2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.79}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b776607b8fdbcb7c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b776607b8fdbcb7c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c22ea089a29e670d4c4e9c179729f9cb735fabca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b776607b8fdbcb7c/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.637183+00:00", + "ended_at": "2026-05-19T16:08:44.638529+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_b776607b8fdbcb7c", + "problem_id": "v2p_m10_c6ab3657417764e3", + "dataset_id": "m10", + "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=wifi.", + "bindings": { + "group_col": "wifi" + }, + "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=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_b776607b8fdbcb7c.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b776607b8fdbcb7c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b776607b8fdbcb7c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b776607b8fdbcb7c/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ce034f844bf4028e3130fcf0cbcdc9b162a2751 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/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=sc_w. +Result preview: [{"sc_w": "18"}, {"sc_w": "18"}, {"sc_w": "18"}, {"sc_w": "18"}, {"sc_w": "18"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ac2feef7a3e34cb53e58b00177e207f973a7822d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_b7dd2887753a5f30 +-- problem_id: v2p_m10_27b0c5ca5eb85a13 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + "sc_w", + NTILE(10) OVER (ORDER BY CAST("sc_w" AS REAL) DESC) AS "tail_bucket" + FROM "m10" +) +SELECT "sc_w" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY CAST("sc_w" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c6e285cadc5c200f45c154b8eff688c6bf2d9f7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/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 \"sc_w\",\n NTILE(10) OVER (ORDER BY CAST(\"sc_w\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m10\"\n)\nSELECT \"sc_w\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"sc_w\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"sc_w\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"sc_w\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"sc_w\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"sc_w\\\" AS REAL) DESC;\", \"columns\": [\"sc_w\"], \"rows\": [{\"sc_w\": \"18\"}, {\"sc_w\": \"18\"}, {\"sc_w\": \"18\"}, {\"sc_w\": \"18\"}, {\"sc_w\": \"18\"}, {\"sc_w\": \"18\"}, {\"sc_w\": \"18\"}, {\"sc_w\": \"18\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"17\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}, {\"sc_w\": \"16\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.31}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..96af50d9a6cbce6cb421286a63861418b438231c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:45:22.456509+00:00", + "ended_at": "2026-05-19T15:45:39.687498+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_b7dd2887753a5f30", + "problem_id": "v2p_m10_27b0c5ca5eb85a13", + "dataset_id": "m10", + "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=sc_w.", + "bindings": { + "measure_col": "sc_w", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=67" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_b7dd2887753a5f30.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_b7dd2887753a5f30", + "api_calls": 0, + "input_tokens": 15269, + "cached_input_tokens": 14720, + "output_tokens": 489, + "total_tokens": 15758, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17220.8, + "sql_execution_elapsed_ms_total": 5.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..410bd7be6ca99cb0badc8a444effe70d5fd9bfc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:39.680196+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": 17220.8, "started_at": "2026-05-19T15:45:22.458071+00:00", "ended_at": "2026-05-19T15:45:39.678906+00:00", "prompt_metrics": {"chars": 10671, "bytes_utf8": 10671, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 481, "bytes_utf8": 481, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15269, "cached_input_tokens": 14720, "output_tokens": 489, "reasoning_output_tokens": 342}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"sc_w\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"sc_w\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"sc_w\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"sc_w\\\" AS REAL) DESC;\",\"notes\":\"Uses the planned Quantile Tail Slice template with measure_col bound to \\\"sc_w\\\" and num_tiles=10. CAST to REAL is applied because the schema stores numeric values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0af3ea213c3fb79d1c3f6e131ef086a65f274fb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_b7dd2887753a5f30", + "api_calls": 0, + "input_tokens": 15269, + "cached_input_tokens": 14720, + "output_tokens": 489, + "total_tokens": 15758, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17220.8, + "sql_execution_elapsed_ms_total": 5.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dd4c686c7c12d12e419173f87634f1718c977d8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11054, "bytes_utf8": 11054, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 587, "bytes_utf8": 587, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15355, "cached_input_tokens": 14720, "output_tokens": 479, "reasoning_output_tokens": 311}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..74e131d8cf9c8d97bc11d531d75d315e8a3243a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_b891b5861ef28425", + "api_calls": 0, + "input_tokens": 15355, + "cached_input_tokens": 14720, + "output_tokens": 479, + "total_tokens": 15834, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10606.63, + "sql_execution_elapsed_ms_total": 1.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..30cc88ba7a29a7d19c7c931eb6a583ee3b89448e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:49:33.249547+00:00", + "ended_at": "2026-05-19T15:49:43.856220+00:00", + "elapsed_ms": 10606.63, + "prompt_metrics": { + "chars": 11054, + "bytes_utf8": 11054, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 958, + "bytes_utf8": 958, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 587, + "bytes_utf8": 587, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15355, + "cached_input_tokens": 14720, + "output_tokens": 479, + "reasoning_output_tokens": 311 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..378f4ff9c4f2577297c8f3ad92946708d284aa3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=n_cores, measure_col=sc_w.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "n_cores", + "measure_col": "sc_w", + "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": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d311e43fa9975fba5b1fbb104af4bcd99fce5959 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-98d1-7f80-bcb0-edceb3f45d62"} +{"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_cores\\\", SUM(CAST(\\\"sc_w\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"n_cores\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"n_cores\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the required template with group_col=\\\"n_cores\\\" and measure_col=\\\"sc_w\\\". \\\"sc_w\\\" is cast to REAL because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15355,"cached_input_tokens":14720,"output_tokens":479,"reasoning_output_tokens":311}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..43663a2e497633fcdff3cd6f07d1b2ceed692564 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"n_cores\", SUM(CAST(\"sc_w\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"n_cores\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"n_cores\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Uses the required template with group_col=\"n_cores\" and measure_col=\"sc_w\". \"sc_w\" is cast to REAL because the schema stores numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b891b5861ef28425/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5215474fc634b46e2a1bc92795abc444e0ed15b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/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=fc, group_col_2=wifi. +Result preview: [{"fc": "0", "wifi": "0", "row_count": 59}, {"fc": "0", "wifi": "1", "row_count": 54}, {"fc": "1", "wifi": "1", "row_count": 41}, {"fc": "1", "wifi": "0", "row_count": 28}, {"fc": "2", "wifi": "1", "row_count": 28}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..861b2ecfb1aa75a929c30c269e4df2b4838af6c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_bceba39e090915ea +-- problem_id: v2p_m10_32512ce5c7b55f65 +-- realization_mode: agent +-- source_kind: agent +SELECT "fc", "wifi", COUNT(*) AS "row_count" +FROM "m10" +WHERE CAST("int_memory" AS REAL) >= 48.0 +GROUP BY "fc", "wifi" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7a8a67b92284b976c3ff1f4ac51ee866fbd29d75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/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 \"fc\", \"wifi\", COUNT(*) AS \"row_count\"\nFROM \"m10\"\nWHERE CAST(\"int_memory\" AS REAL) >= 48.0\nGROUP BY \"fc\", \"wifi\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"fc\\\", \\\"wifi\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"int_memory\\\" AS REAL) >= 48.0\\nGROUP BY \\\"fc\\\", \\\"wifi\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"fc\", \"wifi\", \"row_count\"], \"rows\": [{\"fc\": \"0\", \"wifi\": \"0\", \"row_count\": 59}, {\"fc\": \"0\", \"wifi\": \"1\", \"row_count\": 54}, {\"fc\": \"1\", \"wifi\": \"1\", \"row_count\": 41}, {\"fc\": \"1\", \"wifi\": \"0\", \"row_count\": 28}, {\"fc\": \"2\", \"wifi\": \"1\", \"row_count\": 28}, {\"fc\": \"3\", \"wifi\": \"1\", \"row_count\": 23}, {\"fc\": \"5\", \"wifi\": \"1\", \"row_count\": 22}, {\"fc\": \"3\", \"wifi\": \"0\", \"row_count\": 18}, {\"fc\": \"4\", \"wifi\": \"0\", \"row_count\": 18}, {\"fc\": \"5\", \"wifi\": \"0\", \"row_count\": 18}, {\"fc\": \"6\", \"wifi\": \"0\", \"row_count\": 18}, {\"fc\": \"7\", \"wifi\": \"0\", \"row_count\": 17}, {\"fc\": \"2\", \"wifi\": \"0\", \"row_count\": 16}, {\"fc\": \"4\", \"wifi\": \"1\", \"row_count\": 16}, {\"fc\": \"6\", \"wifi\": \"1\", \"row_count\": 12}, {\"fc\": \"9\", \"wifi\": \"1\", \"row_count\": 12}, {\"fc\": \"7\", \"wifi\": \"1\", \"row_count\": 10}, {\"fc\": \"10\", \"wifi\": \"1\", \"row_count\": 9}, {\"fc\": \"13\", \"wifi\": \"1\", \"row_count\": 9}, {\"fc\": \"9\", \"wifi\": \"0\", \"row_count\": 9}, {\"fc\": \"10\", \"wifi\": \"0\", \"row_count\": 8}, {\"fc\": \"11\", \"wifi\": \"0\", \"row_count\": 8}, {\"fc\": \"12\", \"wifi\": \"1\", \"row_count\": 7}, {\"fc\": \"8\", \"wifi\": \"1\", \"row_count\": 7}, {\"fc\": \"8\", \"wifi\": \"0\", \"row_count\": 6}, {\"fc\": \"14\", \"wifi\": \"0\", \"row_count\": 5}, {\"fc\": \"11\", \"wifi\": \"1\", \"row_count\": 4}, {\"fc\": \"12\", \"wifi\": \"0\", \"row_count\": 4}, {\"fc\": \"15\", \"wifi\": \"0\", \"row_count\": 4}, {\"fc\": \"13\", \"wifi\": \"0\", \"row_count\": 3}, {\"fc\": \"15\", \"wifi\": \"1\", \"row_count\": 3}, {\"fc\": \"16\", \"wifi\": \"1\", \"row_count\": 3}, {\"fc\": \"18\", \"wifi\": \"1\", \"row_count\": 2}, {\"fc\": \"14\", \"wifi\": \"1\", \"row_count\": 1}, {\"fc\": \"16\", \"wifi\": \"0\", \"row_count\": 1}, {\"fc\": \"17\", \"wifi\": \"0\", \"row_count\": 1}, {\"fc\": \"17\", \"wifi\": \"1\", \"row_count\": 1}, {\"fc\": \"18\", \"wifi\": \"0\", \"row_count\": 1}], \"row_count_returned\": 38, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.85}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9323695b01ce7f9f1acc89dbab979ca766334d89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:40:55.633618+00:00", + "ended_at": "2026-05-19T15:41:10.063665+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_bceba39e090915ea", + "problem_id": "v2p_m10_32512ce5c7b55f65", + "dataset_id": "m10", + "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=fc, group_col_2=wifi.", + "bindings": { + "group_col": "fc", + "group_col_2": "wifi", + "predicate_col": "int_memory", + "predicate_op": ">=", + "predicate_value": 48.0, + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=48" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_bceba39e090915ea.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_bceba39e090915ea", + "api_calls": 0, + "input_tokens": 15308, + "cached_input_tokens": 14720, + "output_tokens": 438, + "total_tokens": 15746, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14426.11, + "sql_execution_elapsed_ms_total": 0.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cf963983879318d494609f119d8d4bf94dfb862f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:10.061568+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": 14426.11, "started_at": "2026-05-19T15:40:55.634681+00:00", "ended_at": "2026-05-19T15:41:10.060816+00:00", "prompt_metrics": {"chars": 10803, "bytes_utf8": 10803, "lines": 352, "estimated_tokens": null}, "response_metrics": {"chars": 441, "bytes_utf8": 441, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15308, "cached_input_tokens": 14720, "output_tokens": 438, "reasoning_output_tokens": 316}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"fc\\\", \\\"wifi\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"int_memory\\\" AS REAL) >= 48.0\\nGROUP BY \\\"fc\\\", \\\"wifi\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with group_col=\\\"fc\\\", group_col_2=\\\"wifi\\\", and predicate on \\\"int_memory\\\". CAST is applied because the schema stores numeric values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..80701f9bbc99c4323f4bd896fd9917f7f304b978 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_bceba39e090915ea", + "api_calls": 0, + "input_tokens": 15308, + "cached_input_tokens": 14720, + "output_tokens": 438, + "total_tokens": 15746, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14426.11, + "sql_execution_elapsed_ms_total": 0.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_becadc94abfc138a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_becadc94abfc138a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb388f14f78e7f10bf24e956cba5c216a64151ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_becadc94abfc138a/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "7", "support": 124, "support_share": 0.062, "cumulative_support": 124}, {"value_label": "4", "support": 123, "support_share": 0.0615, "cumulative_support": 247}, {"value_label": "16", "support": 116, "support_share": 0.058, "cumulative_support": 363}, {"value_label": "15", "support": 115, "support_share": 0.0575, "cumulative_support": 478}, {"value_label": "19", "support": 113, "support_share": 0.0565, "cumulative_support": 591}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_becadc94abfc138a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_becadc94abfc138a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..11efac00a61ac35f789228c46b0153340b57565d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_becadc94abfc138a/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_becadc94abfc138a +-- problem_id: v2p_m10_f8799a6d00d09a06 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "talk_time" AS value_label, COUNT(*) AS support + FROM "m10" + GROUP BY "talk_time" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_becadc94abfc138a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_becadc94abfc138a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ae6be72ec6b55f61be6e6888da94ffa753fced7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_becadc94abfc138a/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m10_becadc94abfc138a\n-- problem_id: v2p_m10_f8799a6d00d09a06\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"talk_time\" AS value_label, COUNT(*) AS support\n FROM \"m10\"\n GROUP BY \"talk_time\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m10_becadc94abfc138a\\n-- problem_id: v2p_m10_f8799a6d00d09a06\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"talk_time\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m10\\\"\\n GROUP BY \\\"talk_time\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"7\", \"support\": 124, \"support_share\": 0.062, \"cumulative_support\": 124}, {\"value_label\": \"4\", \"support\": 123, \"support_share\": 0.0615, \"cumulative_support\": 247}, {\"value_label\": \"16\", \"support\": 116, \"support_share\": 0.058, \"cumulative_support\": 363}, {\"value_label\": \"15\", \"support\": 115, \"support_share\": 0.0575, \"cumulative_support\": 478}, {\"value_label\": \"19\", \"support\": 113, \"support_share\": 0.0565, \"cumulative_support\": 591}, {\"value_label\": \"6\", \"support\": 111, \"support_share\": 0.0555, \"cumulative_support\": 702}, {\"value_label\": \"10\", \"support\": 105, \"support_share\": 0.0525, \"cumulative_support\": 807}, {\"value_label\": \"8\", \"support\": 104, \"support_share\": 0.052, \"cumulative_support\": 911}, {\"value_label\": \"11\", \"support\": 103, \"support_share\": 0.0515, \"cumulative_support\": 1014}, {\"value_label\": \"20\", \"support\": 102, \"support_share\": 0.051, \"cumulative_support\": 1116}, {\"value_label\": \"14\", \"support\": 101, \"support_share\": 0.0505, \"cumulative_support\": 1217}, {\"value_label\": \"13\", \"support\": 100, \"support_share\": 0.05, \"cumulative_support\": 1317}, {\"value_label\": \"18\", \"support\": 100, \"support_share\": 0.05, \"cumulative_support\": 1417}, {\"value_label\": \"9\", \"support\": 100, \"support_share\": 0.05, \"cumulative_support\": 1517}, {\"value_label\": \"12\", \"support\": 99, \"support_share\": 0.0495, \"cumulative_support\": 1616}, {\"value_label\": \"2\", \"support\": 99, \"support_share\": 0.0495, \"cumulative_support\": 1715}, {\"value_label\": \"17\", \"support\": 98, \"support_share\": 0.049, \"cumulative_support\": 1813}, {\"value_label\": \"3\", \"support\": 94, \"support_share\": 0.047, \"cumulative_support\": 1907}, {\"value_label\": \"5\", \"support\": 93, \"support_share\": 0.0465, \"cumulative_support\": 2000}], \"row_count_returned\": 19, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.34}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_becadc94abfc138a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_becadc94abfc138a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cf0062079853d2bf3600a20287165e1678a1d101 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_becadc94abfc138a/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.604759+00:00", + "ended_at": "2026-05-19T16:08:44.606910+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_becadc94abfc138a", + "problem_id": "v2p_m10_f8799a6d00d09a06", + "dataset_id": "m10", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=talk_time.", + "bindings": { + "group_col": "talk_time" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=9", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_becadc94abfc138a.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_becadc94abfc138a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_becadc94abfc138a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_becadc94abfc138a/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e8c53b5e39549d8d46965032b0b7840d6aebd36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/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=three_g, measure_col=fc. +Result preview: [{"three_g": "0", "percentile_measure": 13.0}, {"three_g": "1", "percentile_measure": 13.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8d69547155c49ce7f4056567a8cfbcfbdee3f96c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/generated_sql.sql @@ -0,0 +1,38 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_bf1a776767406867 +-- problem_id: v2p_m10_f021525f76b23059 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "three_g", + CAST("fc" AS REAL) AS "fc_value", + CUME_DIST() OVER ( + PARTITION BY "three_g" + ORDER BY CAST("fc" AS REAL) + ) AS "cum_dist" + FROM "m10" + WHERE "three_g" IS NOT NULL + AND "fc" IS NOT NULL +), +"percentiles" AS ( + SELECT + "three_g", + MIN("fc_value") AS "percentile_measure" + FROM "ranked" + WHERE "cum_dist" >= 0.95 + GROUP BY "three_g" +) +SELECT + "three_g", + "percentile_measure" +FROM "percentiles" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bb8ad17ada62780cb9d4f9e7bd21e345e6059a45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"three_g\",\n CAST(\"fc\" AS REAL) AS \"fc_value\",\n CUME_DIST() OVER (\n PARTITION BY \"three_g\"\n ORDER BY CAST(\"fc\" AS REAL)\n ) AS \"cum_dist\"\n FROM \"m10\"\n WHERE \"three_g\" IS NOT NULL\n AND \"fc\" IS NOT NULL\n),\n\"percentiles\" AS (\n SELECT\n \"three_g\",\n MIN(\"fc_value\") AS \"percentile_measure\"\n FROM \"ranked\"\n WHERE \"cum_dist\" >= 0.95\n GROUP BY \"three_g\"\n)\nSELECT\n \"three_g\",\n \"percentile_measure\"\nFROM \"percentiles\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"three_g\\\",\\n CAST(\\\"fc\\\" AS REAL) AS \\\"fc_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"three_g\\\"\\n ORDER BY CAST(\\\"fc\\\" AS REAL)\\n ) AS \\\"cum_dist\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"three_g\\\" IS NOT NULL\\n AND \\\"fc\\\" IS NOT NULL\\n),\\n\\\"percentiles\\\" AS (\\n SELECT\\n \\\"three_g\\\",\\n MIN(\\\"fc_value\\\") AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cum_dist\\\" >= 0.95\\n GROUP BY \\\"three_g\\\"\\n)\\nSELECT\\n \\\"three_g\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"three_g\", \"percentile_measure\"], \"rows\": [{\"three_g\": \"0\", \"percentile_measure\": 13.0}, {\"three_g\": \"1\", \"percentile_measure\": 13.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.12}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3a4b96ca6aca8f78e2765abbe0e4fa924cd2b415 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:52:08.217474+00:00", + "ended_at": "2026-05-19T15:52:29.479837+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_bf1a776767406867", + "problem_id": "v2p_m10_f021525f76b23059", + "dataset_id": "m10", + "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=three_g, measure_col=fc.", + "bindings": { + "group_col": "three_g", + "measure_col": "fc", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=86" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_bf1a776767406867.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_bf1a776767406867", + "api_calls": 0, + "input_tokens": 15253, + "cached_input_tokens": 14720, + "output_tokens": 988, + "total_tokens": 16241, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21254.72, + "sql_execution_elapsed_ms_total": 3.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dc6dca0a1034d813c512c778446a107f46f36cf1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:52:29.475395+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": 21254.72, "started_at": "2026-05-19T15:52:08.219855+00:00", "ended_at": "2026-05-19T15:52:29.474613+00:00", "prompt_metrics": {"chars": 10674, "bytes_utf8": 10674, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 794, "bytes_utf8": 794, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15253, "cached_input_tokens": 14720, "output_tokens": 988, "reasoning_output_tokens": 748}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"three_g\\\",\\n CAST(\\\"fc\\\" AS REAL) AS \\\"fc_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"three_g\\\"\\n ORDER BY CAST(\\\"fc\\\" AS REAL)\\n ) AS \\\"cum_dist\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"three_g\\\" IS NOT NULL\\n AND \\\"fc\\\" IS NOT NULL\\n),\\n\\\"percentiles\\\" AS (\\n SELECT\\n \\\"three_g\\\",\\n MIN(\\\"fc_value\\\") AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cum_dist\\\" >= 0.95\\n GROUP BY \\\"three_g\\\"\\n)\\nSELECT\\n \\\"three_g\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite-compatible substitute for the grouped 95th percentile using nearest-rank via CUME_DIST(), with \\\"fc\\\" cast from TEXT to REAL for numeric ordering.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..91d5eae19e88ccda76192f6f1eaa064848f9f2ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_bf1a776767406867", + "api_calls": 0, + "input_tokens": 15253, + "cached_input_tokens": 14720, + "output_tokens": 988, + "total_tokens": 16241, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21254.72, + "sql_execution_elapsed_ms_total": 3.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf1a776767406867/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..794fed74ed37009bd639b8d73ef971359b5e75d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:23.595015+00:00", + "ended_at": "2026-05-19T16:08:26.251967+00:00", + "elapsed_ms": 2656.93, + "returncode": 1, + "prompt_metrics": { + "chars": 10597, + "bytes_utf8": 10597, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d47a82727a9af38868e984361006ae656fdad782 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:27.254136+00:00", + "ended_at": "2026-05-19T16:08:30.308839+00:00", + "elapsed_ms": 3054.66, + "returncode": 1, + "prompt_metrics": { + "chars": 10597, + "bytes_utf8": 10597, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..766281e2483aaa5de42e10825e2d22c7b4f8e76f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=four_g, measure_col=price_range.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "four_g", + "measure_col": "price_range", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..766281e2483aaa5de42e10825e2d22c7b4f8e76f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=four_g, measure_col=price_range.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "four_g", + "measure_col": "price_range", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..76f9f79fc5b18a7504a7e5ca7aa2cea26b105878 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-d835-7aa0-9e02-91d8b0d2f219"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..05fbb68446205a0b18fc853f7d50e9e228506952 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-d835-7aa0-9e02-91d8b0d2f219"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b0857d3701d3e4bcb5087b35878e1eb04f8b2290 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-e668-7a61-af4a-9226fc03b366"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..71889b11d55a5ead836fe8f2585a5249b73c4a9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-e668-7a61-af4a-9226fc03b366"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bf5d0df0663319fe/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..07b53155d75f1a8da827b317d69936286a66271a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/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=four_g, measure_col=mobile_wt. +Result preview: [{"four_g": "1", "total_measure": 145695.0}, {"four_g": "0", "total_measure": 134803.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e8f11dff44721cd480e39330f2bbae9a3f975fcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_c01b08ce42f22cf0 +-- problem_id: v2p_m10_f130304b9711e731 +-- realization_mode: agent +-- source_kind: agent +SELECT + "four_g", + SUM(CAST("mobile_wt" AS REAL)) AS total_measure +FROM "m10" +GROUP BY "four_g" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fbaeeccf1881e7c8ce20b438587ad7cd72faab47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT\n \"four_g\",\n SUM(CAST(\"mobile_wt\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"four_g\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"four_g\\\",\\n SUM(CAST(\\\"mobile_wt\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"four_g\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"four_g\", \"total_measure\"], \"rows\": [{\"four_g\": \"1\", \"total_measure\": 145695.0}, {\"four_g\": \"0\", \"total_measure\": 134803.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.08}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0525f429d628e9d40915371a531d62ebc07a7f44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:29:57.112835+00:00", + "ended_at": "2026-05-19T15:30:07.598030+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_c01b08ce42f22cf0", + "problem_id": "v2p_m10_f130304b9711e731", + "dataset_id": "m10", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=four_g, measure_col=mobile_wt.", + "bindings": { + "group_col": "four_g", + "measure_col": "mobile_wt", + "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": 160.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=4" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_c01b08ce42f22cf0.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_c01b08ce42f22cf0", + "api_calls": 0, + "input_tokens": 15219, + "cached_input_tokens": 12032, + "output_tokens": 290, + "total_tokens": 15509, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10480.02, + "sql_execution_elapsed_ms_total": 1.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..042f710522f7cad9e9fa6005bb1ece92fa42c316 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:07.595775+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": 10480.02, "started_at": "2026-05-19T15:29:57.114361+00:00", "ended_at": "2026-05-19T15:30:07.594409+00:00", "prompt_metrics": {"chars": 10510, "bytes_utf8": 10510, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 373, "bytes_utf8": 373, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15219, "cached_input_tokens": 12032, "output_tokens": 290, "reasoning_output_tokens": 185}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"four_g\\\",\\n SUM(CAST(\\\"mobile_wt\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"four_g\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the planned grouped-sum template with group_col=\\\"four_g\\\" and measure_col=\\\"mobile_wt\\\". CAST is applied because the schema stores numeric-looking fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d3970969270a0a2c8ddfbb1d17f011ba87dac7b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_c01b08ce42f22cf0", + "api_calls": 0, + "input_tokens": 15219, + "cached_input_tokens": 12032, + "output_tokens": 290, + "total_tokens": 15509, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10480.02, + "sql_execution_elapsed_ms_total": 1.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfdf9f80be0aebacc56a0a8b36397d7b670a6b75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/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=clock_speed. +Result preview: [{"clock_speed": "3.0", "support": 28}, {"clock_speed": "1.1", "support": 51}, {"clock_speed": "2.6", "support": 55}, {"clock_speed": "2.7", "support": 55}, {"clock_speed": "1.2", "support": 56}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a163b916ac7f6bbd965ca4f2d640909149718750 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_c4f9ecfa06b91d7b +-- problem_id: v2p_m10_daab14559cd24a53 +-- realization_mode: agent +-- source_kind: agent +SELECT + "clock_speed", + COUNT(*) AS support +FROM "m10" +GROUP BY "clock_speed" +ORDER BY support ASC, "clock_speed" +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cdb97dfac8d307e9070fa228ae4f084d4fb5df2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/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 \"clock_speed\",\n COUNT(*) AS support\nFROM \"m10\"\nGROUP BY \"clock_speed\"\nORDER BY support ASC, \"clock_speed\"\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"clock_speed\\\",\\n COUNT(*) AS support\\nFROM \\\"m10\\\"\\nGROUP BY \\\"clock_speed\\\"\\nORDER BY support ASC, \\\"clock_speed\\\"\\nLIMIT 16;\", \"columns\": [\"clock_speed\", \"support\"], \"rows\": [{\"clock_speed\": \"3.0\", \"support\": 28}, {\"clock_speed\": \"1.1\", \"support\": 51}, {\"clock_speed\": \"2.6\", \"support\": 55}, {\"clock_speed\": \"2.7\", \"support\": 55}, {\"clock_speed\": \"1.2\", \"support\": 56}, {\"clock_speed\": \"0.8\", \"support\": 58}, {\"clock_speed\": \"0.9\", \"support\": 58}, {\"clock_speed\": \"2.4\", \"support\": 58}, {\"clock_speed\": \"2.2\", \"support\": 59}, {\"clock_speed\": \"1.7\", \"support\": 60}, {\"clock_speed\": \"1.0\", \"support\": 61}, {\"clock_speed\": \"1.8\", \"support\": 62}, {\"clock_speed\": \"2.9\", \"support\": 62}, {\"clock_speed\": \"0.7\", \"support\": 64}, {\"clock_speed\": \"1.9\", \"support\": 65}, {\"clock_speed\": \"1.5\", \"support\": 67}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.83}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..32d089de5506378a2193b3fa7ecadd29ef685d76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:03:57.396672+00:00", + "ended_at": "2026-05-19T16:04:04.727929+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_c4f9ecfa06b91d7b", + "problem_id": "v2p_m10_daab14559cd24a53", + "dataset_id": "m10", + "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=clock_speed.", + "bindings": { + "group_col": "clock_speed", + "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": 3064.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=121" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_c4f9ecfa06b91d7b.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_c4f9ecfa06b91d7b", + "api_calls": 0, + "input_tokens": 15228, + "cached_input_tokens": 12032, + "output_tokens": 189, + "total_tokens": 15417, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7324.24, + "sql_execution_elapsed_ms_total": 1.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1d938ff13f2a396e2d86a98a3e7c26855ff8065c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:04:04.724013+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": 7324.24, "started_at": "2026-05-19T16:03:57.398482+00:00", "ended_at": "2026-05-19T16:04:04.722754+00:00", "prompt_metrics": {"chars": 10509, "bytes_utf8": 10509, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 331, "bytes_utf8": 331, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15228, "cached_input_tokens": 12032, "output_tokens": 189, "reasoning_output_tokens": 96}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"clock_speed\\\",\\n COUNT(*) AS support\\nFROM \\\"m10\\\"\\nGROUP BY \\\"clock_speed\\\"\\nORDER BY support ASC, \\\"clock_speed\\\"\\nLIMIT 16;\",\"notes\":\"Applied the provided Low-Support Group Count template with group_col bound to \\\"clock_speed\\\" and top_k set to 16.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6636ea2e86605f7f0727d02bb216f71c3e4e4e5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_c4f9ecfa06b91d7b", + "api_calls": 0, + "input_tokens": 15228, + "cached_input_tokens": 12032, + "output_tokens": 189, + "total_tokens": 15417, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7324.24, + "sql_execution_elapsed_ms_total": 1.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..00fa057ceab167133cdd5219ed14cae63e6248f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:06:35.899379+00:00", + "ended_at": "2026-05-19T16:06:43.065674+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_c50fce2fbefe74b0", + "problem_id": "v2p_m10_5e711cc3643031a4", + "dataset_id": "m10", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=wifi, measure_col=px_height.", + "bindings": { + "group_col": "wifi", + "measure_col": "px_height", + "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": 781.34, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=133" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..016f50a773256a9491bc7ffa2e2f286ce9176d63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:39.054844+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": 3153.23, "started_at": "2026-05-19T16:06:35.900787+00:00", "ended_at": "2026-05-19T16:06:39.054052+00:00", "prompt_metrics": {"chars": 10592, "bytes_utf8": 10592, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-3374-7920-af1d-ab926a855c59\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:43.065553+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": 3007.74, "started_at": "2026-05-19T16:06:40.056790+00:00", "ended_at": "2026-05-19T16:06:43.064582+00:00", "prompt_metrics": {"chars": 10592, "bytes_utf8": 10592, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-43cc-7741-bcd5-d21b41d772a5\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f0900ba0df70f59d15c9da712d01aee5fd26e6c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10764, "bytes_utf8": 10764, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 337, "bytes_utf8": 337, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15279, "cached_input_tokens": 12032, "output_tokens": 297, "reasoning_output_tokens": 195}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ca6056275f72735b08a4abd7ed70e82af4361bd5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_c542231dab35e015", + "api_calls": 0, + "input_tokens": 15279, + "cached_input_tokens": 12032, + "output_tokens": 297, + "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": 8386.55, + "sql_execution_elapsed_ms_total": 1.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/sql_attempt_1.metadata.json new file mode 100644 index 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"estimated_tokens": null + }, + "usage": { + "input_tokens": 15279, + "cached_input_tokens": 12032, + "output_tokens": 297, + "reasoning_output_tokens": 195 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a16a671e5c263a14189cc49e9eb7483bde7ab0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=price_range, condition_col=three_g.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "price_range", + "condition_col": "three_g", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "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": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..962d7a7216b6ddf3967ab50b058b82bc241d941d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-f194-7782-a71d-6dfba208af23"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"price_range\\\",\\n AVG(CASE WHEN \\\"three_g\\\" = '1' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"price_range\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Computes the within-group proportion of records with three_g = '1' for each price_range.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15279,"cached_input_tokens":12032,"output_tokens":297,"reasoning_output_tokens":195}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..89ecb0420b38663ebb36514a837f34aee2c1fe65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"price_range\",\n AVG(CASE WHEN \"three_g\" = '1' THEN 1.0 ELSE 0.0 END) AS \"condition_rate\"\nFROM \"m10\"\nGROUP BY \"price_range\"\nORDER BY \"condition_rate\" DESC;","notes":"Computes the within-group proportion of records with three_g = '1' for each price_range."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c542231dab35e015/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..be1a34d8fe20f6786f8f637017e1aa8a600cc9f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/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=m_dep, measure_col=n_cores. +Result preview: [{"m_dep": "0.1", "total_measure": 1469}, {"m_dep": "0.2", "total_measure": 954}, {"m_dep": "0.3", "total_measure": 923}, {"m_dep": "0.8", "total_measure": 920}, {"m_dep": "0.5", "total_measure": 916}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..49c9c2562bf99a48689c068f6cb80f555f1325c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_c73252611db53277 +-- problem_id: v2p_m10_b2ef16dec25f5197 +-- realization_mode: agent +-- source_kind: agent +SELECT "m_dep", SUM(CAST("n_cores" AS NUMERIC)) AS total_measure +FROM "m10" +GROUP BY "m_dep" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1ab9aa9cc0488f7ddcb9a0e872d7c8cab84dfbf0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/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 \"m_dep\", SUM(CAST(\"n_cores\" AS NUMERIC)) AS total_measure\nFROM \"m10\"\nGROUP BY \"m_dep\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"m_dep\\\", SUM(CAST(\\\"n_cores\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"m_dep\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"m_dep\", \"total_measure\"], \"rows\": [{\"m_dep\": \"0.1\", \"total_measure\": 1469}, {\"m_dep\": \"0.2\", \"total_measure\": 954}, {\"m_dep\": \"0.3\", \"total_measure\": 923}, {\"m_dep\": \"0.8\", \"total_measure\": 920}, {\"m_dep\": \"0.5\", \"total_measure\": 916}, {\"m_dep\": \"0.7\", \"total_measure\": 895}, {\"m_dep\": \"0.6\", \"total_measure\": 872}, {\"m_dep\": \"0.9\", \"total_measure\": 860}, {\"m_dep\": \"0.4\", \"total_measure\": 721}, {\"m_dep\": \"1.0\", \"total_measure\": 511}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.17}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4e0957c86524c20d6a67501676a4487a979829f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:30:20.224339+00:00", + "ended_at": "2026-05-19T15:30:39.876271+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_c73252611db53277", + "problem_id": "v2p_m10_b2ef16dec25f5197", + "dataset_id": "m10", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=m_dep, measure_col=n_cores.", + "bindings": { + "group_col": "m_dep", + "measure_col": "n_cores", + "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": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=5" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_c73252611db53277.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_c73252611db53277", + "api_calls": 0, + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 290, + "total_tokens": 15507, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19647.65, + "sql_execution_elapsed_ms_total": 1.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e62799f489c72e691336310ae06aba9829cb4073 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:39.873939+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": 19647.65, "started_at": "2026-05-19T15:30:20.225514+00:00", "ended_at": "2026-05-19T15:30:39.873195+00:00", "prompt_metrics": {"chars": 10503, "bytes_utf8": 10503, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 368, "bytes_utf8": 368, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15217, "cached_input_tokens": 12032, "output_tokens": 290, "reasoning_output_tokens": 183}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"m_dep\\\", SUM(CAST(\\\"n_cores\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"m_dep\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the provided Grouped Numeric Sum template with group_col=\\\"m_dep\\\" and measure_col=\\\"n_cores\\\". Cast \\\"n_cores\\\" to NUMERIC because the schema stores values as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fab52460bfd0542b9ce3951075606a7e6e8d556c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_c73252611db53277", + "api_calls": 0, + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 290, + "total_tokens": 15507, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19647.65, + "sql_execution_elapsed_ms_total": 1.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..962a179bd3e7b0cc2dcf4b507b98c4619a6d1890 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11061, "bytes_utf8": 11061, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 858, "bytes_utf8": 858, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15353, "cached_input_tokens": 14720, "output_tokens": 769, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..dafa8b0b81010f39a11ce0ccbcc928758515bd5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_c8278c3d3ec60287", + "api_calls": 0, + "input_tokens": 15353, + "cached_input_tokens": 14720, + "output_tokens": 769, + "total_tokens": 16122, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15371.36, + "sql_execution_elapsed_ms_total": 2.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..be2dff0602c14390e6f7bf8d347811ce4c8cb2fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:45.468216+00:00", + "ended_at": "2026-05-19T15:48:00.839621+00:00", + "elapsed_ms": 15371.36, + "prompt_metrics": { + "chars": 11061, + "bytes_utf8": 11061, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1302, + "bytes_utf8": 1302, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 858, + "bytes_utf8": 858, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15353, + "cached_input_tokens": 14720, + "output_tokens": 769, + "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_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a878d26d07bfdec2e9146bccfbe9cac36a554c60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=clock_speed, measure_col=pc.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "clock_speed", + "measure_col": "pc", + "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": 13.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..49d4bd324580c041c8118b288db998dbc4e01774 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-f431-7ae3-abdf-5477845e08cf"} +{"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 \\\"clock_speed\\\",\\n SUM(CAST(\\\"pc\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"clock_speed\\\" IS NOT NULL\\n AND TRIM(\\\"clock_speed\\\") <> ''\\n AND \\\"pc\\\" IS NOT NULL\\n AND TRIM(\\\"pc\\\") <> ''\\n GROUP BY \\\"clock_speed\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"clock_speed\\\",\\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\":\"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\\\"clock_speed\\\", measure_col=\\\"pc\\\", and fraction_threshold=0.05. Used CAST(\\\"pc\\\" AS REAL) because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15353,"cached_input_tokens":14720,"output_tokens":769,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bba00380c291130bbfec5319c30c210988bb5ec9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"clock_speed\",\n SUM(CAST(\"pc\" AS REAL)) AS \"group_value\"\n FROM \"m10\"\n WHERE \"clock_speed\" IS NOT NULL\n AND TRIM(\"clock_speed\") <> ''\n AND \"pc\" IS NOT NULL\n AND TRIM(\"pc\") <> ''\n GROUP BY \"clock_speed\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"clock_speed\",\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":"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\"clock_speed\", measure_col=\"pc\", and fraction_threshold=0.05. Used CAST(\"pc\" AS REAL) 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_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c8278c3d3ec60287/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0a191089ac6dbb2770856714e3b215a98e26c07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/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=wifi, measure_col=battery_power. +Result preview: [{"wifi": "0", "fc": "0", "total_measure": 302366.0, "share_within_group": 24.686082472543443}, {"wifi": "1", "fc": "0", "total_measure": 278505.0, "share_within_group": 22.241379723413242}, {"wifi": "1", "fc": "1", "total_measure": 159226.0, "share_within_group": 12.715771450567125}, {"wifi": "0", "fc": "1", "total_measure": 131189.0, "share_within_group": 10.71067009349762}, {"wifi": "1", "fc": "2", "total_measure": 120809.0, "share_within_group": 9.647793910363658}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..bce58057fbe5a6e913c5cad47a80545b1539725a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_c89aab9424738ce2 +-- problem_id: v2p_m10_efdfaa9a053cea3d +-- realization_mode: agent +-- source_kind: agent +SELECT "wifi", "fc", + SUM(CAST("battery_power" AS REAL)) AS total_measure, + SUM(CAST("battery_power" AS REAL)) * 100.0 / SUM(SUM(CAST("battery_power" AS REAL))) OVER (PARTITION BY "wifi") AS share_within_group +FROM "m10" +GROUP BY "wifi", "fc" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..73da2cb2cdccb05092109703a506b8cf9d7c622b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/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 \"wifi\", \"fc\",\n SUM(CAST(\"battery_power\" AS REAL)) AS total_measure,\n SUM(CAST(\"battery_power\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"battery_power\" AS REAL))) OVER (PARTITION BY \"wifi\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"wifi\", \"fc\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"wifi\\\", \\\"fc\\\",\\n SUM(CAST(\\\"battery_power\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"battery_power\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"battery_power\\\" AS REAL))) OVER (PARTITION BY \\\"wifi\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"wifi\\\", \\\"fc\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"wifi\", \"fc\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"wifi\": \"0\", \"fc\": \"0\", \"total_measure\": 302366.0, \"share_within_group\": 24.686082472543443}, {\"wifi\": \"1\", \"fc\": \"0\", \"total_measure\": 278505.0, \"share_within_group\": 22.241379723413242}, {\"wifi\": \"1\", \"fc\": \"1\", \"total_measure\": 159226.0, \"share_within_group\": 12.715771450567125}, {\"wifi\": \"0\", \"fc\": \"1\", \"total_measure\": 131189.0, \"share_within_group\": 10.71067009349762}, {\"wifi\": \"1\", \"fc\": \"2\", \"total_measure\": 120809.0, \"share_within_group\": 9.647793910363658}, {\"wifi\": \"0\", \"fc\": \"3\", \"total_measure\": 115620.0, \"share_within_group\": 9.439569447211237}, {\"wifi\": \"0\", \"fc\": \"2\", \"total_measure\": 110593.0, \"share_within_group\": 9.02914983459118}, {\"wifi\": \"1\", \"fc\": \"3\", \"total_measure\": 101944.0, \"share_within_group\": 8.14123701378302}, {\"wifi\": \"0\", \"fc\": \"5\", \"total_measure\": 87665.0, \"share_within_group\": 7.157237982959463}, {\"wifi\": \"0\", \"fc\": \"4\", \"total_measure\": 86116.0, \"share_within_group\": 7.030772898426249}, {\"wifi\": \"1\", \"fc\": \"5\", \"total_measure\": 86210.0, \"share_within_group\": 6.884721444697423}, {\"wifi\": \"1\", \"fc\": \"4\", \"total_measure\": 83995.0, \"share_within_group\": 6.707831779925299}, {\"wifi\": \"1\", \"fc\": \"6\", \"total_measure\": 75453.0, \"share_within_group\": 6.02566856706594}, {\"wifi\": \"0\", \"fc\": \"6\", \"total_measure\": 68774.0, \"share_within_group\": 5.614919124394617}, {\"wifi\": \"1\", \"fc\": \"7\", \"total_measure\": 59889.0, \"share_within_group\": 4.782729179926736}, {\"wifi\": \"0\", \"fc\": \"7\", \"total_measure\": 57371.0, \"share_within_group\": 4.683943424632035}, {\"wifi\": \"0\", \"fc\": \"8\", \"total_measure\": 52076.0, \"share_within_group\": 4.251643474597581}, {\"wifi\": \"0\", \"fc\": \"9\", \"total_measure\": 47842.0, \"share_within_group\": 3.905966800670126}, {\"wifi\": \"0\", \"fc\": \"10\", \"total_measure\": 45308.0, \"share_within_group\": 3.6990833118339967}, {\"wifi\": \"1\", \"fc\": \"8\", \"total_measure\": 45944.0, \"share_within_group\": 3.6690829608534785}, {\"wifi\": \"1\", \"fc\": \"9\", \"total_measure\": 45209.0, \"share_within_group\": 3.6103859389087782}, {\"wifi\": \"0\", \"fc\": \"11\", \"total_measure\": 37000.0, \"share_within_group\": 3.020792851987682}, {\"wifi\": \"1\", \"fc\": \"10\", \"total_measure\": 34420.0, \"share_within_group\": 2.748777544675621}, {\"wifi\": \"1\", \"fc\": \"12\", \"total_measure\": 32096.0, \"share_within_group\": 2.5631831514790453}, {\"wifi\": \"1\", \"fc\": \"11\", \"total_measure\": 31883.0, \"share_within_group\": 2.5461729940991527}, {\"wifi\": \"1\", \"fc\": \"13\", \"total_measure\": 26669.0, \"share_within_group\": 2.129783507813891}, {\"wifi\": \"0\", \"fc\": \"13\", \"total_measure\": 25655.0, \"share_within_group\": 2.0945524491282157}, {\"wifi\": \"1\", \"fc\": \"16\", \"total_measure\": 23186.0, \"share_within_group\": 1.8516314977004344}, {\"wifi\": \"0\", \"fc\": \"12\", \"total_measure\": 21512.0, \"share_within_group\": 1.7563052927556488}, {\"wifi\": \"1\", \"fc\": \"15\", \"total_measure\": 17232.0, \"share_within_group\": 1.3761456900014615}, {\"wifi\": \"1\", \"fc\": \"18\", \"total_measure\": 13681.0, \"share_within_group\": 1.092563207109447}, {\"wifi\": \"1\", \"fc\": \"14\", \"total_measure\": 12450.0, \"share_within_group\": 0.9942556778387996}, {\"wifi\": \"0\", \"fc\": \"14\", \"total_measure\": 11505.0, \"share_within_group\": 0.9393032908680615}, {\"wifi\": \"0\", \"fc\": \"15\", \"total_measure\": 10456.0, \"share_within_group\": 0.8536597313617081}, {\"wifi\": \"0\", \"fc\": \"17\", \"total_measure\": 6224.0, \"share_within_group\": 0.5081463435343603}, {\"wifi\": \"0\", \"fc\": \"16\", \"total_measure\": 4551.0, \"share_within_group\": 0.37155752079448484}, {\"wifi\": \"1\", \"fc\": \"17\", \"total_measure\": 3392.0, \"share_within_group\": 0.27088475977744647}, {\"wifi\": \"0\", \"fc\": \"18\", \"total_measure\": 1731.0, \"share_within_group\": 0.14132411964299127}, {\"wifi\": \"0\", \"fc\": \"19\", \"total_measure\": 1290.0, \"share_within_group\": 0.10531953456930025}], \"row_count_returned\": 39, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.98}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..96732be7ce6a5106b3f00d9224dc068e81e42341 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:35:52.087561+00:00", + "ended_at": "2026-05-19T15:36:03.771013+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_c89aab9424738ce2", + "problem_id": "v2p_m10_efdfaa9a053cea3d", + "dataset_id": "m10", + "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=wifi, measure_col=battery_power.", + "bindings": { + "group_col": "wifi", + "measure_col": "battery_power", + "item_col": "fc", + "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": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=28" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_c89aab9424738ce2.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_c89aab9424738ce2", + "api_calls": 0, + "input_tokens": 15334, + "cached_input_tokens": 14720, + "output_tokens": 595, + "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": 11676.77, + "sql_execution_elapsed_ms_total": 2.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8dd2274e6a22bbeeedc5ec068d2ef7b338728b80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:03.766369+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": 11676.77, "started_at": "2026-05-19T15:35:52.088623+00:00", "ended_at": "2026-05-19T15:36:03.765414+00:00", "prompt_metrics": {"chars": 10919, "bytes_utf8": 10919, "lines": 350, "estimated_tokens": null}, "response_metrics": {"chars": 588, "bytes_utf8": 588, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15334, "cached_input_tokens": 14720, "output_tokens": 595, "reasoning_output_tokens": 432}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"wifi\\\", \\\"fc\\\",\\n SUM(CAST(\\\"battery_power\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"battery_power\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"battery_power\\\" AS REAL))) OVER (PARTITION BY \\\"wifi\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"wifi\\\", \\\"fc\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applies the Within-Group Share of Total template with group_col=\\\"wifi\\\", item_col=\\\"fc\\\", and measure_col=\\\"battery_power\\\". \\\"battery_power\\\" is cast from TEXT to REAL so the aggregation is numeric in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d0159422651d5151fc1f351c2dc8d307a16f2f8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_c89aab9424738ce2", + "api_calls": 0, + "input_tokens": 15334, + "cached_input_tokens": 14720, + "output_tokens": 595, + "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": 11676.77, + "sql_execution_elapsed_ms_total": 2.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..066ebf2e2d55c31dd207de5c64d2e038fd50424d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/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=pc. +Result preview: [{"pc": "20"}, {"pc": "20"}, {"pc": "20"}, {"pc": "20"}, {"pc": "20"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..eef76b3197e0d853da23a39c8bb87b89a01d1866 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_cadb4896964294b9 +-- problem_id: v2p_m10_1f2543908c045a31 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT "pc", + NTILE(10) OVER (ORDER BY CAST("pc" AS REAL) DESC) AS tail_bucket + FROM "m10" +) +SELECT "pc" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("pc" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fbbd40a3c654fc14dcabfbfce1d4ff4e5dcb1429 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/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 \"pc\",\n NTILE(10) OVER (ORDER BY CAST(\"pc\" AS REAL) DESC) AS tail_bucket\n FROM \"m10\"\n)\nSELECT \"pc\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"pc\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"pc\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"pc\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"pc\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"pc\\\" AS REAL) DESC;\", \"columns\": [\"pc\"], \"rows\": [{\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}, {\"pc\": \"20\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 7.07}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3b5e47a87cc0d29dd2c1e6b695fae3e55d94b387 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:43:39.075416+00:00", + "ended_at": "2026-05-19T15:43:48.273983+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_cadb4896964294b9", + "problem_id": "v2p_m10_1f2543908c045a31", + "dataset_id": "m10", + "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=pc.", + "bindings": { + "measure_col": "pc", + "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": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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_b/m10/sql/v2q_m10_cadb4896964294b9.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_cadb4896964294b9", + "api_calls": 0, + "input_tokens": 15268, + "cached_input_tokens": 14720, + "output_tokens": 357, + "total_tokens": 15625, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9186.02, + "sql_execution_elapsed_ms_total": 7.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..53a123297f9d7e3cf24a75e4334feacff636ac11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:48.264080+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": 9186.02, "started_at": "2026-05-19T15:43:39.076404+00:00", "ended_at": "2026-05-19T15:43:48.262460+00:00", "prompt_metrics": {"chars": 10669, "bytes_utf8": 10669, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 491, "bytes_utf8": 491, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15268, "cached_input_tokens": 14720, "output_tokens": 357, "reasoning_output_tokens": 221}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"pc\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"pc\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"pc\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"pc\\\" AS REAL) DESC;\",\"notes\":\"Used the Quantile Tail Slice template with measure_col bound to \\\"pc\\\" and num_tiles=10. CAST to REAL is applied because the schema stores values as TEXT, and tail slicing should use numeric ordering.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..73ad6be9e0a384dfec138e15dfa1a78a45e35087 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_cadb4896964294b9", + "api_calls": 0, + "input_tokens": 15268, + "cached_input_tokens": 14720, + "output_tokens": 357, + "total_tokens": 15625, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9186.02, + "sql_execution_elapsed_ms_total": 7.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..350d73cb876e83515e342464b7a9758e9f5efd65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/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=blue, measure_col=fc. +Result preview: [{"blue": "0", "mobile_wt": 185.0, "total_measure": 105.0, "share_within_group": 2.421028360617939}, {"blue": "1", "mobile_wt": 117.0, "total_measure": 87.0, "share_within_group": 2.0317608594114898}, {"blue": "1", "mobile_wt": 145.0, "total_measure": 82.0, "share_within_group": 1.914992993928071}, {"blue": "1", "mobile_wt": 193.0, "total_measure": 82.0, "share_within_group": 1.914992993928071}, {"blue": "1", "mobile_wt": 150.0, "total_measure": 76.0, "share_within_group": 1.7748715553479681}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..69e71989f9af3bb668a9cd06ee809f53c1639f1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_cbce3e217e51daea +-- problem_id: v2p_m10_1e3801e1e0c789bf +-- realization_mode: agent +-- source_kind: agent +SELECT + "blue", + CAST("mobile_wt" AS REAL) AS "mobile_wt", + SUM(CAST("fc" AS REAL)) AS "total_measure", + SUM(CAST("fc" AS REAL)) * 100.0 / SUM(SUM(CAST("fc" AS REAL))) OVER (PARTITION BY "blue") AS "share_within_group" +FROM "m10" +WHERE "blue" IS NOT NULL + AND "mobile_wt" IS NOT NULL + AND "fc" IS NOT NULL +GROUP BY "blue", CAST("mobile_wt" AS REAL) +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b97b53893699f263e29b6039981043a6694babcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/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 \"blue\",\n CAST(\"mobile_wt\" AS REAL) AS \"mobile_wt\",\n SUM(CAST(\"fc\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"fc\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"fc\" AS REAL))) OVER (PARTITION BY \"blue\") AS \"share_within_group\"\nFROM \"m10\"\nWHERE \"blue\" IS NOT NULL\n AND \"mobile_wt\" IS NOT NULL\n AND \"fc\" IS NOT NULL\nGROUP BY \"blue\", CAST(\"mobile_wt\" AS REAL)\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"blue\\\",\\n CAST(\\\"mobile_wt\\\" AS REAL) AS \\\"mobile_wt\\\",\\n SUM(CAST(\\\"fc\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"fc\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"fc\\\" AS REAL))) OVER (PARTITION BY \\\"blue\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nWHERE \\\"blue\\\" IS NOT NULL\\n AND \\\"mobile_wt\\\" IS NOT NULL\\n AND \\\"fc\\\" IS NOT NULL\\nGROUP BY \\\"blue\\\", CAST(\\\"mobile_wt\\\" AS REAL)\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"blue\", \"mobile_wt\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"blue\": \"0\", \"mobile_wt\": 185.0, \"total_measure\": 105.0, \"share_within_group\": 2.421028360617939}, {\"blue\": \"1\", \"mobile_wt\": 117.0, \"total_measure\": 87.0, \"share_within_group\": 2.0317608594114898}, {\"blue\": \"1\", \"mobile_wt\": 145.0, \"total_measure\": 82.0, \"share_within_group\": 1.914992993928071}, {\"blue\": \"1\", \"mobile_wt\": 193.0, \"total_measure\": 82.0, \"share_within_group\": 1.914992993928071}, {\"blue\": \"1\", \"mobile_wt\": 150.0, \"total_measure\": 76.0, \"share_within_group\": 1.7748715553479681}, {\"blue\": \"1\", \"mobile_wt\": 170.0, \"total_measure\": 76.0, \"share_within_group\": 1.7748715553479681}, {\"blue\": \"0\", \"mobile_wt\": 187.0, \"total_measure\": 73.0, \"share_within_group\": 1.6831911459534241}, {\"blue\": \"0\", \"mobile_wt\": 196.0, \"total_measure\": 73.0, \"share_within_group\": 1.6831911459534241}, {\"blue\": \"0\", \"mobile_wt\": 81.0, \"total_measure\": 69.0, \"share_within_group\": 1.5909614941203596}, {\"blue\": \"1\", \"mobile_wt\": 166.0, \"total_measure\": 67.0, \"share_within_group\": 1.5646893974778142}, {\"blue\": \"1\", \"mobile_wt\": 182.0, \"total_measure\": 67.0, \"share_within_group\": 1.5646893974778142}, {\"blue\": \"0\", \"mobile_wt\": 151.0, \"total_measure\": 67.0, \"share_within_group\": 1.5448466682038275}, {\"blue\": \"1\", \"mobile_wt\": 131.0, \"total_measure\": 66.0, \"share_within_group\": 1.5413358243811304}, {\"blue\": \"0\", \"mobile_wt\": 89.0, \"total_measure\": 66.0, \"share_within_group\": 1.5217892552455614}, {\"blue\": \"0\", \"mobile_wt\": 146.0, \"total_measure\": 66.0, \"share_within_group\": 1.5217892552455614}, {\"blue\": \"1\", \"mobile_wt\": 196.0, \"total_measure\": 64.0, \"share_within_group\": 1.4946286781877627}, {\"blue\": \"1\", \"mobile_wt\": 109.0, \"total_measure\": 63.0, \"share_within_group\": 1.4712751050910788}, {\"blue\": \"1\", \"mobile_wt\": 148.0, \"total_measure\": 63.0, \"share_within_group\": 1.4712751050910788}, {\"blue\": \"1\", \"mobile_wt\": 160.0, \"total_measure\": 63.0, \"share_within_group\": 1.4712751050910788}, {\"blue\": \"0\", \"mobile_wt\": 131.0, \"total_measure\": 63.0, \"share_within_group\": 1.4526170163707632}, {\"blue\": \"0\", \"mobile_wt\": 132.0, \"total_measure\": 63.0, \"share_within_group\": 1.4526170163707632}, {\"blue\": \"0\", \"mobile_wt\": 177.0, \"total_measure\": 63.0, \"share_within_group\": 1.4526170163707632}, {\"blue\": \"0\", \"mobile_wt\": 80.0, \"total_measure\": 61.0, \"share_within_group\": 1.406502190454231}, {\"blue\": \"0\", \"mobile_wt\": 111.0, \"total_measure\": 61.0, \"share_within_group\": 1.406502190454231}, {\"blue\": \"1\", \"mobile_wt\": 83.0, \"total_measure\": 60.0, \"share_within_group\": 1.4012143858010275}, {\"blue\": \"0\", \"mobile_wt\": 178.0, \"total_measure\": 60.0, \"share_within_group\": 1.383444777495965}, {\"blue\": \"1\", \"mobile_wt\": 114.0, \"total_measure\": 59.0, \"share_within_group\": 1.3778608127043437}, {\"blue\": \"0\", \"mobile_wt\": 142.0, \"total_measure\": 59.0, \"share_within_group\": 1.360387364537699}, {\"blue\": \"0\", \"mobile_wt\": 199.0, \"total_measure\": 59.0, \"share_within_group\": 1.360387364537699}, {\"blue\": \"1\", \"mobile_wt\": 121.0, \"total_measure\": 58.0, \"share_within_group\": 1.35450723960766}, {\"blue\": \"0\", \"mobile_wt\": 153.0, \"total_measure\": 58.0, \"share_within_group\": 1.3373299515794328}, {\"blue\": \"1\", \"mobile_wt\": 113.0, \"total_measure\": 57.0, \"share_within_group\": 1.3311536665109762}, {\"blue\": \"0\", \"mobile_wt\": 159.0, \"total_measure\": 57.0, \"share_within_group\": 1.3142725386211667}, {\"blue\": \"1\", \"mobile_wt\": 80.0, \"total_measure\": 55.0, \"share_within_group\": 1.2844465203176085}, {\"blue\": \"0\", \"mobile_wt\": 105.0, \"total_measure\": 55.0, \"share_within_group\": 1.2681577127046346}, {\"blue\": \"1\", \"mobile_wt\": 169.0, \"total_measure\": 54.0, \"share_within_group\": 1.261092947220925}, {\"blue\": \"0\", \"mobile_wt\": 84.0, \"total_measure\": 54.0, \"share_within_group\": 1.2451002997463685}, {\"blue\": \"1\", \"mobile_wt\": 101.0, \"total_measure\": 53.0, \"share_within_group\": 1.237739374124241}, {\"blue\": \"1\", \"mobile_wt\": 134.0, \"total_measure\": 53.0, \"share_within_group\": 1.237739374124241}, {\"blue\": \"1\", \"mobile_wt\": 157.0, \"total_measure\": 53.0, \"share_within_group\": 1.237739374124241}, {\"blue\": \"1\", \"mobile_wt\": 198.0, \"total_measure\": 53.0, \"share_within_group\": 1.237739374124241}, {\"blue\": \"0\", \"mobile_wt\": 114.0, \"total_measure\": 53.0, \"share_within_group\": 1.2220428867881024}, {\"blue\": \"1\", \"mobile_wt\": 162.0, \"total_measure\": 52.0, \"share_within_group\": 1.2143858010275572}, {\"blue\": \"1\", \"mobile_wt\": 172.0, \"total_measure\": 52.0, \"share_within_group\": 1.2143858010275572}, {\"blue\": \"0\", \"mobile_wt\": 188.0, \"total_measure\": 52.0, \"share_within_group\": 1.1989854738298362}, {\"blue\": \"0\", \"mobile_wt\": 91.0, \"total_measure\": 50.0, \"share_within_group\": 1.1528706479133042}, {\"blue\": \"0\", \"mobile_wt\": 113.0, \"total_measure\": 50.0, \"share_within_group\": 1.1528706479133042}, {\"blue\": \"1\", \"mobile_wt\": 189.0, \"total_measure\": 49.0, \"share_within_group\": 1.144325081737506}, {\"blue\": \"1\", \"mobile_wt\": 199.0, \"total_measure\": 49.0, \"share_within_group\": 1.144325081737506}, {\"blue\": \"0\", \"mobile_wt\": 86.0, \"total_measure\": 49.0, \"share_within_group\": 1.129813234955038}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 2.45}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..98d21eaf6fdbc6207272fe4b6f2d408038608f80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:36:53.674721+00:00", + "ended_at": "2026-05-19T15:37:07.340789+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_cbce3e217e51daea", + "problem_id": "v2p_m10_1e3801e1e0c789bf", + "dataset_id": "m10", + "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=blue, measure_col=fc.", + "bindings": { + "group_col": "blue", + "measure_col": "fc", + "item_col": "mobile_wt", + "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": 5.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=30" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_cbce3e217e51daea.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_cbce3e217e51daea", + "api_calls": 0, + "input_tokens": 15332, + "cached_input_tokens": 12032, + "output_tokens": 725, + "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": 13659.29, + "sql_execution_elapsed_ms_total": 2.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2e790b9c03109102c2d50e90cc9cf918df73a1ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:07.336868+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": 13659.29, "started_at": "2026-05-19T15:36:53.676819+00:00", "ended_at": "2026-05-19T15:37:07.336139+00:00", "prompt_metrics": {"chars": 10897, "bytes_utf8": 10897, "lines": 350, "estimated_tokens": null}, "response_metrics": {"chars": 695, "bytes_utf8": 695, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15332, "cached_input_tokens": 12032, "output_tokens": 725, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"blue\\\",\\n CAST(\\\"mobile_wt\\\" AS REAL) AS \\\"mobile_wt\\\",\\n SUM(CAST(\\\"fc\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"fc\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"fc\\\" AS REAL))) OVER (PARTITION BY \\\"blue\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nWHERE \\\"blue\\\" IS NOT NULL\\n AND \\\"mobile_wt\\\" IS NOT NULL\\n AND \\\"fc\\\" IS NOT NULL\\nGROUP BY \\\"blue\\\", CAST(\\\"mobile_wt\\\" AS REAL)\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"blue\\\", item_col=\\\"mobile_wt\\\", and measure_col=\\\"fc\\\". Cast numeric-like TEXT columns to REAL for SQLite aggregation correctness.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d325fe426b3f7542476ae18c7640f5533a2286f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_cbce3e217e51daea", + "api_calls": 0, + "input_tokens": 15332, + "cached_input_tokens": 12032, + "output_tokens": 725, + "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": 13659.29, + "sql_execution_elapsed_ms_total": 2.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..958d8a6582ad94d06b1c433cd3106f010187d111 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10811, "bytes_utf8": 10811, "lines": 352, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 452, "bytes_utf8": 452, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15312, "cached_input_tokens": 14720, "output_tokens": 370, "reasoning_output_tokens": 241}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..59d4ac11b7be31eed69c2a62c111517d1b43471e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_cc6bf4cc8362eb19", + "api_calls": 0, + "input_tokens": 15312, + "cached_input_tokens": 14720, + "output_tokens": 370, + "total_tokens": 15682, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11449.4, + "sql_execution_elapsed_ms_total": 2.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8051ecbb058be393bdf498da6eda5b262ca14a7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:11.278512+00:00", + "ended_at": "2026-05-19T15:42:22.727956+00:00", + "elapsed_ms": 11449.4, + "prompt_metrics": { + "chars": 10811, + "bytes_utf8": 10811, + "lines": 352, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 823, + "bytes_utf8": 823, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 452, + "bytes_utf8": 452, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15312, + "cached_input_tokens": 14720, + "output_tokens": 370, + "reasoning_output_tokens": 241 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e086a4d0c3fe09c096d8fdc8760b2d17aa1f3316 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,352 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=four_g, group_col_2=sc_w.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "four_g", + "group_col_2": "sc_w", + "predicate_col": "px_width", + "predicate_op": ">=", + "predicate_value": 1633.0, + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..aef853796a386fdc7821b9ceff76674d5cf77ba0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-da67-7942-a430-b57a8225097e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"four_g\\\", \\\"sc_w\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"px_width\\\" AS REAL) >= 1633.0\\nGROUP BY \\\"four_g\\\", \\\"sc_w\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the planned filtered two-dimensional group count template with group_col=\\\"four_g\\\", group_col_2=\\\"sc_w\\\", and predicate on \\\"px_width\\\". Cast \\\"px_width\\\" to REAL because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15312,"cached_input_tokens":14720,"output_tokens":370,"reasoning_output_tokens":241}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..908695b4e424d0e3278d2cf64ec31dd13c708b77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"four_g\", \"sc_w\", COUNT(*) AS row_count\nFROM \"m10\"\nWHERE CAST(\"px_width\" AS REAL) >= 1633.0\nGROUP BY \"four_g\", \"sc_w\"\nORDER BY row_count DESC;","notes":"Used the planned filtered two-dimensional group count template with group_col=\"four_g\", group_col_2=\"sc_w\", and predicate on \"px_width\". Cast \"px_width\" to REAL because the schema stores numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cc6bf4cc8362eb19/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b5ad8d1e94a2c0cf55d17c741c792f3f7b274ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/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=clock_speed, measure_col=px_height. +Result preview: [{"clock_speed": 1.3, "percentile_measure": 1623.6500000000003}, {"clock_speed": 1.0, "percentile_measure": 1618.0}, {"clock_speed": 2.2, "percentile_measure": 1617.8999999999999}, {"clock_speed": 2.0, "percentile_measure": 1586.9999999999998}, {"clock_speed": 0.9, "percentile_measure": 1584.05}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ad42461cdc3733a34640010e246e36629e2e7872 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/generated_sql.sql @@ -0,0 +1,75 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_ce949cbb96e18e18 +-- problem_id: v2p_m10_4d9a31795aa23022 +-- realization_mode: agent +-- source_kind: agent +WITH "__ordered" AS ( + SELECT + CAST("clock_speed" AS REAL) AS "clock_speed", + CAST("px_height" AS REAL) AS "px_height", + ROW_NUMBER() OVER ( + PARTITION BY CAST("clock_speed" AS REAL) + ORDER BY CAST("px_height" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY CAST("clock_speed" AS REAL) + ) AS "cnt" + FROM "m10" + WHERE "clock_speed" IS NOT NULL + AND TRIM("clock_speed") <> '' + AND "px_height" IS NOT NULL + AND TRIM("px_height") <> '' +), +"__positions" AS ( + SELECT + "clock_speed", + "px_height", + "rn", + "cnt", + ((0.95 * ("cnt" - 1)) + 1.0) AS "pos", + CAST(((0.95 * ("cnt" - 1)) + 1.0) AS INTEGER) AS "lo_rn", + CASE + WHEN ((0.95 * ("cnt" - 1)) + 1.0) = CAST(((0.95 * ("cnt" - 1)) + 1.0) AS INTEGER) + THEN CAST(((0.95 * ("cnt" - 1)) + 1.0) AS INTEGER) + ELSE CAST(((0.95 * ("cnt" - 1)) + 1.0) AS INTEGER) + 1 + END AS "hi_rn" + FROM "__ordered" +), +"__percentile_inputs" AS ( + SELECT DISTINCT + "clock_speed", + "cnt", + "pos", + "lo_rn", + "hi_rn" + FROM "__positions" +), +"__percentile_values" AS ( + SELECT + "p"."clock_speed", + MAX(CASE WHEN "o"."rn" = "p"."lo_rn" THEN "o"."px_height" END) AS "lo_value", + MAX(CASE WHEN "o"."rn" = "p"."hi_rn" THEN "o"."px_height" END) AS "hi_value", + MAX("p"."pos") AS "pos", + MAX("p"."cnt") AS "cnt" + FROM "__percentile_inputs" AS "p" + JOIN "__ordered" AS "o" + ON "o"."clock_speed" = "p"."clock_speed" + GROUP BY "p"."clock_speed" +) +SELECT + "clock_speed", + CASE + WHEN CAST("pos" AS INTEGER) = "pos" THEN "lo_value" + ELSE "lo_value" + (("pos" - CAST("pos" AS INTEGER)) * ("hi_value" - "lo_value")) + END AS "percentile_measure" +FROM "__percentile_values" +WHERE "cnt" >= 5 +ORDER BY "percentile_measure" DESC, "clock_speed" ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ce3f5d3b5b63d02e15b4de93212ce8f9995c5fa3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/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 CAST(\"clock_speed\" AS REAL) AS \"clock_speed\",\n CAST(\"px_height\" AS REAL) AS \"px_height\",\n ROW_NUMBER() OVER (\n PARTITION BY CAST(\"clock_speed\" AS REAL)\n ORDER BY CAST(\"px_height\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY CAST(\"clock_speed\" AS REAL)\n ) AS \"cnt\"\n FROM \"m10\"\n WHERE \"clock_speed\" IS NOT NULL\n AND TRIM(\"clock_speed\") <> ''\n AND \"px_height\" IS NOT NULL\n AND TRIM(\"px_height\") <> ''\n),\n\"__positions\" AS (\n SELECT\n \"clock_speed\",\n \"px_height\",\n \"rn\",\n \"cnt\",\n ((0.95 * (\"cnt\" - 1)) + 1.0) AS \"pos\",\n CAST(((0.95 * (\"cnt\" - 1)) + 1.0) AS INTEGER) AS \"lo_rn\",\n CASE\n WHEN ((0.95 * (\"cnt\" - 1)) + 1.0) = CAST(((0.95 * (\"cnt\" - 1)) + 1.0) AS INTEGER)\n THEN CAST(((0.95 * (\"cnt\" - 1)) + 1.0) AS INTEGER)\n ELSE CAST(((0.95 * (\"cnt\" - 1)) + 1.0) AS INTEGER) + 1\n END AS \"hi_rn\"\n FROM \"__ordered\"\n),\n\"__percentile_inputs\" AS (\n SELECT DISTINCT\n \"clock_speed\",\n \"cnt\",\n \"pos\",\n \"lo_rn\",\n \"hi_rn\"\n FROM \"__positions\"\n),\n\"__percentile_values\" AS (\n SELECT\n \"p\".\"clock_speed\",\n MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"lo_rn\" THEN \"o\".\"px_height\" END) AS \"lo_value\",\n MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"hi_rn\" THEN \"o\".\"px_height\" END) AS \"hi_value\",\n MAX(\"p\".\"pos\") AS \"pos\",\n MAX(\"p\".\"cnt\") AS \"cnt\"\n FROM \"__percentile_inputs\" AS \"p\"\n JOIN \"__ordered\" AS \"o\"\n ON \"o\".\"clock_speed\" = \"p\".\"clock_speed\"\n GROUP BY \"p\".\"clock_speed\"\n)\nSELECT\n \"clock_speed\",\n CASE\n WHEN CAST(\"pos\" AS INTEGER) = \"pos\" THEN \"lo_value\"\n ELSE \"lo_value\" + ((\"pos\" - CAST(\"pos\" AS INTEGER)) * (\"hi_value\" - \"lo_value\"))\n END AS \"percentile_measure\"\nFROM \"__percentile_values\"\nWHERE \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC, \"clock_speed\" ASC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__ordered\\\" AS (\\n SELECT\\n CAST(\\\"clock_speed\\\" AS REAL) AS \\\"clock_speed\\\",\\n CAST(\\\"px_height\\\" AS REAL) AS \\\"px_height\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY CAST(\\\"clock_speed\\\" AS REAL)\\n ORDER BY CAST(\\\"px_height\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY CAST(\\\"clock_speed\\\" AS REAL)\\n ) AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"clock_speed\\\" IS NOT NULL\\n AND TRIM(\\\"clock_speed\\\") <> ''\\n AND \\\"px_height\\\" IS NOT NULL\\n AND TRIM(\\\"px_height\\\") <> ''\\n),\\n\\\"__positions\\\" AS (\\n SELECT\\n \\\"clock_speed\\\",\\n \\\"px_height\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS \\\"pos\\\",\\n CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) = CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n THEN CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n ELSE CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"__ordered\\\"\\n),\\n\\\"__percentile_inputs\\\" AS (\\n SELECT DISTINCT\\n \\\"clock_speed\\\",\\n \\\"cnt\\\",\\n \\\"pos\\\",\\n \\\"lo_rn\\\",\\n \\\"hi_rn\\\"\\n FROM \\\"__positions\\\"\\n),\\n\\\"__percentile_values\\\" AS (\\n SELECT\\n \\\"p\\\".\\\"clock_speed\\\",\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"lo_rn\\\" THEN \\\"o\\\".\\\"px_height\\\" END) AS \\\"lo_value\\\",\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"hi_rn\\\" THEN \\\"o\\\".\\\"px_height\\\" END) AS \\\"hi_value\\\",\\n MAX(\\\"p\\\".\\\"pos\\\") AS \\\"pos\\\",\\n MAX(\\\"p\\\".\\\"cnt\\\") AS \\\"cnt\\\"\\n FROM \\\"__percentile_inputs\\\" AS \\\"p\\\"\\n JOIN \\\"__ordered\\\" AS \\\"o\\\"\\n ON \\\"o\\\".\\\"clock_speed\\\" = \\\"p\\\".\\\"clock_speed\\\"\\n GROUP BY \\\"p\\\".\\\"clock_speed\\\"\\n)\\nSELECT\\n \\\"clock_speed\\\",\\n CASE\\n WHEN CAST(\\\"pos\\\" AS INTEGER) = \\\"pos\\\" THEN \\\"lo_value\\\"\\n ELSE \\\"lo_value\\\" + ((\\\"pos\\\" - CAST(\\\"pos\\\" AS INTEGER)) * (\\\"hi_value\\\" - \\\"lo_value\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"__percentile_values\\\"\\nWHERE \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"clock_speed\\\" ASC;\", \"columns\": [\"clock_speed\", \"percentile_measure\"], \"rows\": [{\"clock_speed\": 1.3, \"percentile_measure\": 1623.6500000000003}, {\"clock_speed\": 1.0, \"percentile_measure\": 1618.0}, {\"clock_speed\": 2.2, \"percentile_measure\": 1617.8999999999999}, {\"clock_speed\": 2.0, \"percentile_measure\": 1586.9999999999998}, {\"clock_speed\": 0.9, \"percentile_measure\": 1584.05}, {\"clock_speed\": 2.1, \"percentile_measure\": 1570.0}, {\"clock_speed\": 1.6, \"percentile_measure\": 1557.25}, {\"clock_speed\": 1.1, \"percentile_measure\": 1529.5}, {\"clock_speed\": 2.8, \"percentile_measure\": 1498.8}, {\"clock_speed\": 3.0, \"percentile_measure\": 1486.4999999999995}, {\"clock_speed\": 0.7, \"percentile_measure\": 1470.4499999999996}, {\"clock_speed\": 2.5, \"percentile_measure\": 1465.4999999999998}, {\"clock_speed\": 0.8, \"percentile_measure\": 1462.75}, {\"clock_speed\": 0.5, \"percentile_measure\": 1446.8}, {\"clock_speed\": 1.9, \"percentile_measure\": 1445.5999999999997}, {\"clock_speed\": 2.6, \"percentile_measure\": 1438.0}, {\"clock_speed\": 2.7, \"percentile_measure\": 1422.6}, {\"clock_speed\": 2.3, \"percentile_measure\": 1403.7499999999995}, {\"clock_speed\": 1.5, \"percentile_measure\": 1398.9999999999998}, {\"clock_speed\": 2.4, \"percentile_measure\": 1389.0}, {\"clock_speed\": 1.4, \"percentile_measure\": 1387.5}, {\"clock_speed\": 0.6, \"percentile_measure\": 1366.0499999999993}, {\"clock_speed\": 2.9, \"percentile_measure\": 1329.85}, {\"clock_speed\": 1.2, \"percentile_measure\": 1312.0}, {\"clock_speed\": 1.7, \"percentile_measure\": 1261.9499999999994}, {\"clock_speed\": 1.8, \"percentile_measure\": 1197.8}], \"row_count_returned\": 26, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.09}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f0a04cc56279a006c1cdf9f7e937ad5bec85884d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:57:12.042862+00:00", + "ended_at": "2026-05-19T15:58:02.861585+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_ce949cbb96e18e18", + "problem_id": "v2p_m10_4d9a31795aa23022", + "dataset_id": "m10", + "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=clock_speed, measure_col=px_height.", + "bindings": { + "group_col": "clock_speed", + "measure_col": "px_height", + "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": 781.34, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=91" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_ce949cbb96e18e18.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ce949cbb96e18e18", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 12032, + "output_tokens": 3830, + "total_tokens": 19085, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 50805.21, + "sql_execution_elapsed_ms_total": 8.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..56e0040da994b78e0f4894b787b6dc073a46843d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:58:02.851400+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": 50805.21, "started_at": "2026-05-19T15:57:12.045197+00:00", "ended_at": "2026-05-19T15:58:02.850440+00:00", "prompt_metrics": {"chars": 10701, "bytes_utf8": 10701, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 2298, "bytes_utf8": 2298, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15255, "cached_input_tokens": 12032, "output_tokens": 3830, "reasoning_output_tokens": 3060}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__ordered\\\" AS (\\n SELECT\\n CAST(\\\"clock_speed\\\" AS REAL) AS \\\"clock_speed\\\",\\n CAST(\\\"px_height\\\" AS REAL) AS \\\"px_height\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY CAST(\\\"clock_speed\\\" AS REAL)\\n ORDER BY CAST(\\\"px_height\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY CAST(\\\"clock_speed\\\" AS REAL)\\n ) AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"clock_speed\\\" IS NOT NULL\\n AND TRIM(\\\"clock_speed\\\") <> ''\\n AND \\\"px_height\\\" IS NOT NULL\\n AND TRIM(\\\"px_height\\\") <> ''\\n),\\n\\\"__positions\\\" AS (\\n SELECT\\n \\\"clock_speed\\\",\\n \\\"px_height\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS \\\"pos\\\",\\n CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) = CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n THEN CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n ELSE CAST(((0.95 * (\\\"cnt\\\" "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f23a9883d69356e2cd3a16a51af4b14652eb2784 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ce949cbb96e18e18", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 12032, + "output_tokens": 3830, + "total_tokens": 19085, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 50805.21, + "sql_execution_elapsed_ms_total": 8.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cea0649e357a344e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cea0649e357a344e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0fb35564e33f6a95177d882301f0e7603abd2be6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cea0649e357a344e/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "1", "support": 1523, "support_share": 0.7615, "support_rank": 1}, {"value_label": "0", "support": 477, "support_share": 0.2385, "support_rank": 2}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cea0649e357a344e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cea0649e357a344e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5e66e125d09ba81ec39ae96a628c54857078dc3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cea0649e357a344e/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_cea0649e357a344e +-- problem_id: v2p_m10_c6987334bf3583b9 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "three_g" AS value_label, COUNT(*) AS support + FROM "m10" + GROUP BY "three_g" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cea0649e357a344e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cea0649e357a344e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..378451e82f75729d53696e421b73f5177186ec71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cea0649e357a344e/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\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_m10_cea0649e357a344e\n-- problem_id: v2p_m10_c6987334bf3583b9\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"three_g\" AS value_label, COUNT(*) AS support\n FROM \"m10\"\n GROUP BY \"three_g\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\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_m10_cea0649e357a344e\\n-- problem_id: v2p_m10_c6987334bf3583b9\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"three_g\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m10\\\"\\n GROUP BY \\\"three_g\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"1\", \"support\": 1523, \"support_share\": 0.7615, \"support_rank\": 1}, {\"value_label\": \"0\", \"support\": 477, \"support_share\": 0.2385, \"support_rank\": 2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.76}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cea0649e357a344e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cea0649e357a344e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8fddb81764cf24517e7f3cc639e66d412cd0ab8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cea0649e357a344e/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.633564+00:00", + "ended_at": "2026-05-19T16:08:44.634928+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_cea0649e357a344e", + "problem_id": "v2p_m10_c6987334bf3583b9", + "dataset_id": "m10", + "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=three_g.", + "bindings": { + "group_col": "three_g" + }, + "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=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_cea0649e357a344e.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cea0649e357a344e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cea0649e357a344e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cea0649e357a344e/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cfa5dca627424975/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cfa5dca627424975/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d414b2c5efe983b1bc4763ac1db368fc1e2c68eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cfa5dca627424975/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "1", "support": 1019, "support_share": 0.5095, "cumulative_support": 1019}, {"value_label": "0", "support": 981, "support_share": 0.4905, "cumulative_support": 2000}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cfa5dca627424975/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cfa5dca627424975/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1c83e4b97421ca989d7b4f4cf36e83add805dfc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cfa5dca627424975/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_cfa5dca627424975 +-- problem_id: v2p_m10_faa981b876b32461 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "dual_sim" AS value_label, COUNT(*) AS support + FROM "m10" + GROUP BY "dual_sim" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cfa5dca627424975/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cfa5dca627424975/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..529d3941394de1f2c89a71b029ef0ae79e029d47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cfa5dca627424975/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m10_cfa5dca627424975\n-- problem_id: v2p_m10_faa981b876b32461\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"dual_sim\" AS value_label, COUNT(*) AS support\n FROM \"m10\"\n GROUP BY \"dual_sim\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m10_cfa5dca627424975\\n-- problem_id: v2p_m10_faa981b876b32461\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"dual_sim\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m10\\\"\\n GROUP BY \\\"dual_sim\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"1\", \"support\": 1019, \"support_share\": 0.5095, \"cumulative_support\": 1019}, {\"value_label\": \"0\", \"support\": 981, \"support_share\": 0.4905, \"cumulative_support\": 2000}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.98}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cfa5dca627424975/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cfa5dca627424975/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7d76b489daa778f47c0694a58b7e110a1b327fff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cfa5dca627424975/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.589119+00:00", + "ended_at": "2026-05-19T16:08:44.590803+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_cfa5dca627424975", + "problem_id": "v2p_m10_faa981b876b32461", + "dataset_id": "m10", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=dual_sim.", + "bindings": { + "group_col": "dual_sim" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_cfa5dca627424975.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cfa5dca627424975/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cfa5dca627424975/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cfa5dca627424975/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..069df8ba626a74df4ad888557b5bac22564b14a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/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=clock_speed. +Result preview: [{"clock_speed": "0.5", "row_count": 413}, {"clock_speed": "2.8", "row_count": 85}, {"clock_speed": "2.3", "row_count": 78}, {"clock_speed": "2.1", "row_count": 76}, {"clock_speed": "1.6", "row_count": 76}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..44f8a1842877c713595851bc6910aaf6a647a500 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_d08baac91786f59a +-- problem_id: v2p_m10_f7a8a7465b8f49a1 +-- realization_mode: agent +-- source_kind: agent +SELECT "clock_speed", COUNT(*) AS row_count +FROM "m10" +GROUP BY "clock_speed" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7c7006f6a519cf832eab080dc9f8e02fd0485ffd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/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 \"clock_speed\", COUNT(*) AS row_count\nFROM \"m10\"\nGROUP BY \"clock_speed\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"clock_speed\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nGROUP BY \\\"clock_speed\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"clock_speed\", \"row_count\"], \"rows\": [{\"clock_speed\": \"0.5\", \"row_count\": 413}, {\"clock_speed\": \"2.8\", \"row_count\": 85}, {\"clock_speed\": \"2.3\", \"row_count\": 78}, {\"clock_speed\": \"2.1\", \"row_count\": 76}, {\"clock_speed\": \"1.6\", \"row_count\": 76}, {\"clock_speed\": \"2.5\", \"row_count\": 74}, {\"clock_speed\": \"0.6\", \"row_count\": 74}, {\"clock_speed\": \"1.4\", \"row_count\": 70}, {\"clock_speed\": \"1.3\", \"row_count\": 68}, {\"clock_speed\": \"2.0\", \"row_count\": 67}, {\"clock_speed\": \"1.5\", \"row_count\": 67}, {\"clock_speed\": \"1.9\", \"row_count\": 65}, {\"clock_speed\": \"0.7\", \"row_count\": 64}, {\"clock_speed\": \"2.9\", \"row_count\": 62}, {\"clock_speed\": \"1.8\", \"row_count\": 62}, {\"clock_speed\": \"1.0\", \"row_count\": 61}, {\"clock_speed\": \"1.7\", \"row_count\": 60}, {\"clock_speed\": \"2.2\", \"row_count\": 59}, {\"clock_speed\": \"2.4\", \"row_count\": 58}, {\"clock_speed\": \"0.9\", \"row_count\": 58}, {\"clock_speed\": \"0.8\", \"row_count\": 58}, {\"clock_speed\": \"1.2\", \"row_count\": 56}, {\"clock_speed\": \"2.7\", \"row_count\": 55}, {\"clock_speed\": \"2.6\", \"row_count\": 55}, {\"clock_speed\": \"1.1\", \"row_count\": 51}, {\"clock_speed\": \"3.0\", \"row_count\": 28}], \"row_count_returned\": 26, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c19e5d27c648f9ed96c73015ca260bb2c7192efd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:32:48.040078+00:00", + "ended_at": "2026-05-19T15:32:55.155558+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_d08baac91786f59a", + "problem_id": "v2p_m10_f7a8a7465b8f49a1", + "dataset_id": "m10", + "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=clock_speed.", + "bindings": { + "group_col": "clock_speed", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=5", + "sql_variant_index=1/1", + "binding_index=16" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_d08baac91786f59a.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_d08baac91786f59a", + "api_calls": 0, + "input_tokens": 15190, + "cached_input_tokens": 12032, + "output_tokens": 216, + "total_tokens": 15406, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7109.88, + "sql_execution_elapsed_ms_total": 1.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ac1396b8db11f9649b47074cab92218dbaaf0ef0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:55.152451+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": 7109.88, "started_at": "2026-05-19T15:32:48.041499+00:00", "ended_at": "2026-05-19T15:32:55.151416+00:00", "prompt_metrics": {"chars": 10425, "bytes_utf8": 10425, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 322, "bytes_utf8": 322, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15190, "cached_input_tokens": 12032, "output_tokens": 216, "reasoning_output_tokens": 138}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"clock_speed\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nGROUP BY \\\"clock_speed\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the provided grouped-count template with group_col bound to \\\"clock_speed\\\" to show subgroup size distribution across clock_speed categories.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3f5366457294d226da23dfa2425337b20b8452f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_d08baac91786f59a", + "api_calls": 0, + "input_tokens": 15190, + "cached_input_tokens": 12032, + "output_tokens": 216, + "total_tokens": 15406, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7109.88, + "sql_execution_elapsed_ms_total": 1.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9092ccafd00dbd11b457d8546d1e172dbc828925 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/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=fc, measure_col=m_dep. +Result preview: [{"fc": "0", "total_measure": 228.4}, {"fc": "1", "total_measure": 131.5}, {"fc": "2", "total_measure": 87.7}, {"fc": "3", "total_measure": 86.8}, {"fc": "5", "total_measure": 72.6}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d949d46a32db5a3910f5eac95562e18fded157fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_d3cbeaf13573896a +-- problem_id: v2p_m10_7ab13905f5d19631 +-- realization_mode: agent +-- source_kind: agent +SELECT "fc", SUM(CAST("m_dep" AS REAL)) AS total_measure +FROM "m10" +GROUP BY "fc" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7007c6c23bd8bf974b0b27ea10a357fbc0607936 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/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 \"fc\", SUM(CAST(\"m_dep\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"fc\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"fc\\\", SUM(CAST(\\\"m_dep\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"fc\", \"total_measure\"], \"rows\": [{\"fc\": \"0\", \"total_measure\": 228.4}, {\"fc\": \"1\", \"total_measure\": 131.5}, {\"fc\": \"2\", \"total_measure\": 87.7}, {\"fc\": \"3\", \"total_measure\": 86.8}, {\"fc\": \"5\", \"total_measure\": 72.6}, {\"fc\": \"4\", \"total_measure\": 72.4}, {\"fc\": \"6\", \"total_measure\": 60.2}, {\"fc\": \"7\", \"total_measure\": 45.8}, {\"fc\": \"8\", \"total_measure\": 40.9}, {\"fc\": \"9\", \"total_measure\": 37.0}, {\"fc\": \"10\", \"total_measure\": 29.8}, {\"fc\": \"11\", \"total_measure\": 26.5}, {\"fc\": \"13\", \"total_measure\": 22.5}, {\"fc\": \"12\", \"total_measure\": 22.3}, {\"fc\": \"16\", \"total_measure\": 10.6}, {\"fc\": \"14\", \"total_measure\": 10.3}, {\"fc\": \"15\", \"total_measure\": 10.2}, {\"fc\": \"18\", \"total_measure\": 5.2}, {\"fc\": \"17\", \"total_measure\": 2.5}, {\"fc\": \"19\", \"total_measure\": 0.3}], \"row_count_returned\": 20, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.93}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..974a799041e117e920190fdb8eb04150e0a1505c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:29:20.237623+00:00", + "ended_at": "2026-05-19T15:29:31.395668+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_d3cbeaf13573896a", + "problem_id": "v2p_m10_7ab13905f5d19631", + "dataset_id": "m10", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=fc, measure_col=m_dep.", + "bindings": { + "group_col": "fc", + "measure_col": "m_dep", + "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": 0.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=3" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_d3cbeaf13573896a.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_d3cbeaf13573896a", + "api_calls": 0, + "input_tokens": 15214, + "cached_input_tokens": 12032, + "output_tokens": 498, + "total_tokens": 15712, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11149.53, + "sql_execution_elapsed_ms_total": 2.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ad5fa10cbf1a61d6371193e3beb6bea7420f31b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:31.389860+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": 11149.53, "started_at": "2026-05-19T15:29:20.238684+00:00", "ended_at": "2026-05-19T15:29:31.388247+00:00", "prompt_metrics": {"chars": 10490, "bytes_utf8": 10490, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 377, "bytes_utf8": 377, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15214, "cached_input_tokens": 12032, "output_tokens": 498, "reasoning_output_tokens": 395}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"fc\\\", SUM(CAST(\\\"m_dep\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned Grouped Numeric Sum template with \\\"fc\\\" as the grouping column and \\\"m_dep\\\" as the measure. Cast \\\"m_dep\\\" to REAL because the schema snapshot stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8ef8e1e2ec787911f64ccde0d3bc50a4c79bed38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_d3cbeaf13573896a", + "api_calls": 0, + "input_tokens": 15214, + "cached_input_tokens": 12032, + "output_tokens": 498, + "total_tokens": 15712, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11149.53, + "sql_execution_elapsed_ms_total": 2.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..37fb99a45cf29cab4805dcbefc980cf7e72f21c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/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=sc_w, measure_col=sc_h. +Result preview: [{"sc_w": "18", "px_width": "1195", "total_measure": 19.0, "share_within_group": 12.5}, {"sc_w": "18", "px_width": "1469", "total_measure": 19.0, "share_within_group": 12.5}, {"sc_w": "18", "px_width": "1477", "total_measure": 19.0, "share_within_group": 12.5}, {"sc_w": "18", "px_width": "1496", "total_measure": 19.0, "share_within_group": 12.5}, {"sc_w": "18", "px_width": "1809", "total_measure": 19.0, "share_within_group": 12.5}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..105e3eba66139df7aa669fc21766fb8188c70c6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_d3eef8059b654aa2 +-- problem_id: v2p_m10_7841b3972b522a9c +-- realization_mode: agent +-- source_kind: agent +SELECT + "sc_w", + "px_width", + SUM(CAST("sc_h" AS REAL)) AS total_measure, + SUM(CAST("sc_h" AS REAL)) * 100.0 / SUM(SUM(CAST("sc_h" AS REAL))) OVER (PARTITION BY "sc_w") AS share_within_group +FROM "m10" +GROUP BY "sc_w", "px_width" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..85f3a2eafb9e30f88b1bdb3392312185118743f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/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 \"sc_w\",\n \"px_width\",\n SUM(CAST(\"sc_h\" AS REAL)) AS total_measure,\n SUM(CAST(\"sc_h\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"sc_h\" AS REAL))) OVER (PARTITION BY \"sc_w\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"sc_w\", \"px_width\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"sc_w\\\",\\n \\\"px_width\\\",\\n SUM(CAST(\\\"sc_h\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"sc_h\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"sc_h\\\" AS REAL))) OVER (PARTITION BY \\\"sc_w\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"sc_w\\\", \\\"px_width\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"sc_w\", \"px_width\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"sc_w\": \"18\", \"px_width\": \"1195\", \"total_measure\": 19.0, \"share_within_group\": 12.5}, {\"sc_w\": \"18\", \"px_width\": \"1469\", \"total_measure\": 19.0, \"share_within_group\": 12.5}, {\"sc_w\": \"18\", \"px_width\": \"1477\", \"total_measure\": 19.0, \"share_within_group\": 12.5}, {\"sc_w\": \"18\", \"px_width\": \"1496\", \"total_measure\": 19.0, \"share_within_group\": 12.5}, {\"sc_w\": \"18\", \"px_width\": \"1809\", \"total_measure\": 19.0, \"share_within_group\": 12.5}, {\"sc_w\": \"18\", \"px_width\": \"726\", \"total_measure\": 19.0, \"share_within_group\": 12.5}, {\"sc_w\": \"18\", \"px_width\": \"807\", \"total_measure\": 19.0, \"share_within_group\": 12.5}, {\"sc_w\": \"18\", \"px_width\": \"982\", \"total_measure\": 19.0, \"share_within_group\": 12.5}, {\"sc_w\": \"17\", \"px_width\": \"1042\", \"total_measure\": 19.0, \"share_within_group\": 5.3977272727272725}, {\"sc_w\": \"17\", \"px_width\": \"1046\", \"total_measure\": 19.0, \"share_within_group\": 5.3977272727272725}, {\"sc_w\": \"17\", \"px_width\": \"1299\", \"total_measure\": 19.0, \"share_within_group\": 5.3977272727272725}, {\"sc_w\": \"17\", \"px_width\": \"1364\", \"total_measure\": 19.0, \"share_within_group\": 5.3977272727272725}, {\"sc_w\": \"17\", \"px_width\": \"1463\", \"total_measure\": 19.0, \"share_within_group\": 5.3977272727272725}, {\"sc_w\": \"17\", \"px_width\": \"1613\", \"total_measure\": 19.0, \"share_within_group\": 5.3977272727272725}, {\"sc_w\": \"17\", \"px_width\": \"1846\", \"total_measure\": 19.0, \"share_within_group\": 5.3977272727272725}, {\"sc_w\": \"17\", \"px_width\": \"1990\", \"total_measure\": 19.0, \"share_within_group\": 5.3977272727272725}, {\"sc_w\": \"17\", \"px_width\": \"642\", \"total_measure\": 19.0, \"share_within_group\": 5.3977272727272725}, {\"sc_w\": \"17\", \"px_width\": \"986\", \"total_measure\": 19.0, \"share_within_group\": 5.3977272727272725}, {\"sc_w\": \"17\", \"px_width\": \"1131\", \"total_measure\": 18.0, \"share_within_group\": 5.113636363636363}, {\"sc_w\": \"17\", \"px_width\": \"1460\", \"total_measure\": 18.0, \"share_within_group\": 5.113636363636363}, {\"sc_w\": \"17\", \"px_width\": \"1523\", \"total_measure\": 18.0, \"share_within_group\": 5.113636363636363}, {\"sc_w\": \"17\", \"px_width\": \"1570\", \"total_measure\": 18.0, \"share_within_group\": 5.113636363636363}, {\"sc_w\": \"17\", \"px_width\": \"1684\", \"total_measure\": 18.0, \"share_within_group\": 5.113636363636363}, {\"sc_w\": \"17\", \"px_width\": \"1800\", \"total_measure\": 18.0, \"share_within_group\": 5.113636363636363}, {\"sc_w\": \"17\", \"px_width\": \"1963\", \"total_measure\": 18.0, \"share_within_group\": 5.113636363636363}, {\"sc_w\": \"17\", \"px_width\": \"583\", \"total_measure\": 18.0, \"share_within_group\": 5.113636363636363}, {\"sc_w\": \"17\", \"px_width\": \"970\", \"total_measure\": 18.0, \"share_within_group\": 5.113636363636363}, {\"sc_w\": \"16\", \"px_width\": \"1226\", \"total_measure\": 19.0, \"share_within_group\": 3.732809430255403}, {\"sc_w\": \"16\", \"px_width\": \"1318\", \"total_measure\": 19.0, \"share_within_group\": 3.732809430255403}, {\"sc_w\": \"16\", \"px_width\": \"1345\", \"total_measure\": 19.0, \"share_within_group\": 3.732809430255403}, {\"sc_w\": \"16\", \"px_width\": \"1638\", \"total_measure\": 19.0, \"share_within_group\": 3.732809430255403}, {\"sc_w\": \"16\", \"px_width\": \"1899\", \"total_measure\": 19.0, \"share_within_group\": 3.732809430255403}, {\"sc_w\": \"16\", \"px_width\": \"1301\", \"total_measure\": 18.0, \"share_within_group\": 3.536345776031434}, {\"sc_w\": \"16\", \"px_width\": \"1442\", \"total_measure\": 18.0, \"share_within_group\": 3.536345776031434}, {\"sc_w\": \"16\", \"px_width\": \"1645\", \"total_measure\": 18.0, \"share_within_group\": 3.536345776031434}, {\"sc_w\": \"16\", \"px_width\": \"1651\", \"total_measure\": 18.0, \"share_within_group\": 3.536345776031434}, {\"sc_w\": \"16\", \"px_width\": \"1798\", \"total_measure\": 18.0, \"share_within_group\": 3.536345776031434}, {\"sc_w\": \"16\", \"px_width\": \"828\", \"total_measure\": 18.0, \"share_within_group\": 3.536345776031434}, {\"sc_w\": \"15\", \"px_width\": \"1052\", \"total_measure\": 19.0, \"share_within_group\": 3.5250463821892395}, {\"sc_w\": \"15\", \"px_width\": \"1055\", \"total_measure\": 19.0, \"share_within_group\": 3.5250463821892395}, {\"sc_w\": \"15\", \"px_width\": \"1247\", \"total_measure\": 19.0, \"share_within_group\": 3.5250463821892395}, {\"sc_w\": \"15\", \"px_width\": \"1414\", \"total_measure\": 19.0, \"share_within_group\": 3.5250463821892395}, {\"sc_w\": \"15\", \"px_width\": \"1478\", \"total_measure\": 19.0, \"share_within_group\": 3.5250463821892395}, {\"sc_w\": \"15\", \"px_width\": \"853\", \"total_measure\": 19.0, \"share_within_group\": 3.5250463821892395}, {\"sc_w\": \"14\", \"px_width\": \"1010\", \"total_measure\": 19.0, \"share_within_group\": 3.4111310592459607}, {\"sc_w\": \"14\", \"px_width\": \"1915\", \"total_measure\": 19.0, \"share_within_group\": 3.4111310592459607}, {\"sc_w\": \"14\", \"px_width\": \"1952\", \"total_measure\": 19.0, \"share_within_group\": 3.4111310592459607}, {\"sc_w\": \"14\", \"px_width\": \"902\", \"total_measure\": 19.0, \"share_within_group\": 3.4111310592459607}, {\"sc_w\": \"16\", \"px_width\": \"1028\", \"total_measure\": 17.0, \"share_within_group\": 3.3398821218074657}, {\"sc_w\": \"16\", \"px_width\": \"1232\", \"total_measure\": 17.0, \"share_within_group\": 3.3398821218074657}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 15.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4af32575dcf252dcc5365f3e4aa422dd8caa9181 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:33:33.150836+00:00", + "ended_at": "2026-05-19T15:33:52.507107+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_d3eef8059b654aa2", + "problem_id": "v2p_m10_7841b3972b522a9c", + "dataset_id": "m10", + "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=sc_w, measure_col=sc_h.", + "bindings": { + "group_col": "sc_w", + "measure_col": "sc_h", + "item_col": "px_width", + "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": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=24" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_d3eef8059b654aa2.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_d3eef8059b654aa2", + "api_calls": 0, + "input_tokens": 15334, + "cached_input_tokens": 12032, + "output_tokens": 548, + "total_tokens": 15882, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19332.91, + "sql_execution_elapsed_ms_total": 15.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..eb6310365d84113d960a5c2f7d861a1f3a44363d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:52.488562+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": 19332.91, "started_at": "2026-05-19T15:33:33.153953+00:00", "ended_at": "2026-05-19T15:33:52.486908+00:00", "prompt_metrics": {"chars": 10904, "bytes_utf8": 10904, "lines": 350, "estimated_tokens": null}, "response_metrics": {"chars": 568, "bytes_utf8": 568, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15334, "cached_input_tokens": 12032, "output_tokens": 548, "reasoning_output_tokens": 375}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"sc_w\\\",\\n \\\"px_width\\\",\\n SUM(CAST(\\\"sc_h\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"sc_h\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"sc_h\\\" AS REAL))) OVER (PARTITION BY \\\"sc_w\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"sc_w\\\", \\\"px_width\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided Within-Group Share of Total template with group_col=\\\"sc_w\\\", item_col=\\\"px_width\\\", and measure_col=\\\"sc_h\\\". Cast \\\"sc_h\\\" to REAL because the schema snapshot stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1f07ef5bae583284ee8e757d9028b9713126b7e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_d3eef8059b654aa2", + "api_calls": 0, + "input_tokens": 15334, + "cached_input_tokens": 12032, + "output_tokens": 548, + "total_tokens": 15882, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19332.91, + "sql_execution_elapsed_ms_total": 15.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3eef8059b654aa2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d477f30d48ca9f48/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d477f30d48ca9f48/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e181a9f31cde1d71b059eae037f4b07ce84f288 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d477f30d48ca9f48/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"battery_power": "1589", "support": 6, "avg_response": 1.6500000000000001}, {"battery_power": "618", "support": 6, "avg_response": 1.25}, {"battery_power": "1872", "support": 6, "avg_response": 1.0999999999999999}, {"battery_power": "1083", "support": 5, "avg_response": 2.04}, {"battery_power": "1310", "support": 5, "avg_response": 1.86}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d477f30d48ca9f48/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d477f30d48ca9f48/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..04b7f32c38d66b1b836810e07c151421836aefe8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d477f30d48ca9f48/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_d477f30d48ca9f48 +-- problem_id: v2p_m10_ef36d879857a915a +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "battery_power", + COUNT(*) AS support, + AVG("clock_speed") AS avg_response +FROM "m10" +GROUP BY "battery_power" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d477f30d48ca9f48/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d477f30d48ca9f48/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a31a7a5ff5864468f6261751777f9f6c144cf22e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d477f30d48ca9f48/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\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_m10_d477f30d48ca9f48\n-- problem_id: v2p_m10_ef36d879857a915a\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"battery_power\",\n COUNT(*) AS support,\n AVG(\"clock_speed\") AS avg_response\nFROM \"m10\"\nGROUP BY \"battery_power\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\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_m10_d477f30d48ca9f48\\n-- problem_id: v2p_m10_ef36d879857a915a\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"battery_power\\\",\\n COUNT(*) AS support,\\n AVG(\\\"clock_speed\\\") AS avg_response\\nFROM \\\"m10\\\"\\nGROUP BY \\\"battery_power\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"battery_power\", \"support\", \"avg_response\"], \"rows\": [{\"battery_power\": \"1589\", \"support\": 6, \"avg_response\": 1.6500000000000001}, {\"battery_power\": \"618\", \"support\": 6, \"avg_response\": 1.25}, {\"battery_power\": \"1872\", \"support\": 6, \"avg_response\": 1.0999999999999999}, {\"battery_power\": \"1083\", \"support\": 5, \"avg_response\": 2.04}, {\"battery_power\": \"1310\", \"support\": 5, \"avg_response\": 1.86}, {\"battery_power\": \"1414\", \"support\": 5, \"avg_response\": 1.7600000000000002}, {\"battery_power\": \"1063\", \"support\": 5, \"avg_response\": 1.7}, {\"battery_power\": \"1807\", \"support\": 5, \"avg_response\": 1.6600000000000001}, {\"battery_power\": \"772\", \"support\": 5, \"avg_response\": 1.6600000000000001}, {\"battery_power\": \"1949\", \"support\": 5, \"avg_response\": 1.52}, {\"battery_power\": \"504\", \"support\": 5, \"avg_response\": 1.52}, {\"battery_power\": \"1715\", \"support\": 5, \"avg_response\": 1.46}, {\"battery_power\": \"1068\", \"support\": 5, \"avg_response\": 1.44}, {\"battery_power\": \"1379\", \"support\": 5, \"avg_response\": 1.2600000000000002}, {\"battery_power\": \"1330\", \"support\": 5, \"avg_response\": 1.12}, {\"battery_power\": \"832\", \"support\": 5, \"avg_response\": 0.8800000000000001}, {\"battery_power\": \"1512\", \"support\": 5, \"avg_response\": 0.8400000000000001}, {\"battery_power\": \"1413\", \"support\": 5, \"avg_response\": 0.76}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.37}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d477f30d48ca9f48/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d477f30d48ca9f48/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..63d00edb7c4d9f98e4aa60a1920cc685f5546249 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d477f30d48ca9f48/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.638974+00:00", + "ended_at": "2026-05-19T16:08:44.640980+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_d477f30d48ca9f48", + "problem_id": "v2p_m10_ef36d879857a915a", + "dataset_id": "m10", + "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=clock_speed, key_col=battery_power.", + "bindings": { + "key_col": "battery_power", + "measure_col": "clock_speed", + "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=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_d477f30d48ca9f48.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d477f30d48ca9f48/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d477f30d48ca9f48/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d477f30d48ca9f48/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..85be738e55d76ba66473f7ef344b5c5c89b062d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/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=blue, measure_col=fc. +Result preview: [{"blue": "0", "mobile_wt": "185", "total_measure": 105.0, "share_within_group": 2.421028360617939}, {"blue": "1", "mobile_wt": "117", "total_measure": 87.0, "share_within_group": 2.0317608594114898}, {"blue": "1", "mobile_wt": "145", "total_measure": 82.0, "share_within_group": 1.914992993928071}, {"blue": "1", "mobile_wt": "193", "total_measure": 82.0, "share_within_group": 1.914992993928071}, {"blue": "1", "mobile_wt": "150", "total_measure": 76.0, "share_within_group": 1.7748715553479681}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4b1e3c54b1f12ae4eff830310eac1151eed9e0ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_d6de0783288ba760 +-- problem_id: v2p_m10_6261c6348b6f9544 +-- realization_mode: agent +-- source_kind: agent +SELECT "blue", "mobile_wt", + SUM(CAST("fc" AS REAL)) AS total_measure, + SUM(CAST("fc" AS REAL)) * 100.0 / SUM(SUM(CAST("fc" AS REAL))) OVER (PARTITION BY "blue") AS share_within_group +FROM "m10" +GROUP BY "blue", "mobile_wt" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..18dcf54e054d9eee0e62d9bb32090e5f90cf6702 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/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 \"blue\", \"mobile_wt\",\n SUM(CAST(\"fc\" AS REAL)) AS total_measure,\n SUM(CAST(\"fc\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"fc\" AS REAL))) OVER (PARTITION BY \"blue\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"blue\", \"mobile_wt\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"blue\\\", \\\"mobile_wt\\\",\\n SUM(CAST(\\\"fc\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"fc\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"fc\\\" AS REAL))) OVER (PARTITION BY \\\"blue\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"blue\\\", \\\"mobile_wt\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"blue\", \"mobile_wt\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"blue\": \"0\", \"mobile_wt\": \"185\", \"total_measure\": 105.0, \"share_within_group\": 2.421028360617939}, {\"blue\": \"1\", \"mobile_wt\": \"117\", \"total_measure\": 87.0, \"share_within_group\": 2.0317608594114898}, {\"blue\": \"1\", \"mobile_wt\": \"145\", \"total_measure\": 82.0, \"share_within_group\": 1.914992993928071}, {\"blue\": \"1\", \"mobile_wt\": \"193\", \"total_measure\": 82.0, \"share_within_group\": 1.914992993928071}, {\"blue\": \"1\", \"mobile_wt\": \"150\", \"total_measure\": 76.0, \"share_within_group\": 1.7748715553479681}, {\"blue\": \"1\", \"mobile_wt\": \"170\", \"total_measure\": 76.0, \"share_within_group\": 1.7748715553479681}, {\"blue\": \"0\", \"mobile_wt\": \"187\", \"total_measure\": 73.0, \"share_within_group\": 1.6831911459534241}, {\"blue\": \"0\", \"mobile_wt\": \"196\", \"total_measure\": 73.0, \"share_within_group\": 1.6831911459534241}, {\"blue\": \"0\", \"mobile_wt\": \"81\", \"total_measure\": 69.0, \"share_within_group\": 1.5909614941203596}, {\"blue\": \"1\", \"mobile_wt\": \"166\", \"total_measure\": 67.0, \"share_within_group\": 1.5646893974778142}, {\"blue\": \"1\", \"mobile_wt\": \"182\", \"total_measure\": 67.0, \"share_within_group\": 1.5646893974778142}, {\"blue\": \"0\", \"mobile_wt\": \"151\", \"total_measure\": 67.0, \"share_within_group\": 1.5448466682038275}, {\"blue\": \"1\", \"mobile_wt\": \"131\", \"total_measure\": 66.0, \"share_within_group\": 1.5413358243811304}, {\"blue\": \"0\", \"mobile_wt\": \"146\", \"total_measure\": 66.0, \"share_within_group\": 1.5217892552455614}, {\"blue\": \"0\", \"mobile_wt\": \"89\", \"total_measure\": 66.0, \"share_within_group\": 1.5217892552455614}, {\"blue\": \"1\", \"mobile_wt\": \"196\", \"total_measure\": 64.0, \"share_within_group\": 1.4946286781877627}, {\"blue\": \"1\", \"mobile_wt\": \"109\", \"total_measure\": 63.0, \"share_within_group\": 1.4712751050910788}, {\"blue\": \"1\", \"mobile_wt\": \"148\", \"total_measure\": 63.0, \"share_within_group\": 1.4712751050910788}, {\"blue\": \"1\", \"mobile_wt\": \"160\", \"total_measure\": 63.0, \"share_within_group\": 1.4712751050910788}, {\"blue\": \"0\", \"mobile_wt\": \"131\", \"total_measure\": 63.0, \"share_within_group\": 1.4526170163707632}, {\"blue\": \"0\", \"mobile_wt\": \"132\", \"total_measure\": 63.0, \"share_within_group\": 1.4526170163707632}, {\"blue\": \"0\", \"mobile_wt\": \"177\", \"total_measure\": 63.0, \"share_within_group\": 1.4526170163707632}, {\"blue\": \"0\", \"mobile_wt\": \"111\", \"total_measure\": 61.0, \"share_within_group\": 1.406502190454231}, {\"blue\": \"0\", \"mobile_wt\": \"80\", \"total_measure\": 61.0, \"share_within_group\": 1.406502190454231}, {\"blue\": \"1\", \"mobile_wt\": \"83\", \"total_measure\": 60.0, \"share_within_group\": 1.4012143858010275}, {\"blue\": \"0\", \"mobile_wt\": \"178\", \"total_measure\": 60.0, \"share_within_group\": 1.383444777495965}, {\"blue\": \"1\", \"mobile_wt\": \"114\", \"total_measure\": 59.0, \"share_within_group\": 1.3778608127043437}, {\"blue\": \"0\", \"mobile_wt\": \"142\", \"total_measure\": 59.0, \"share_within_group\": 1.360387364537699}, {\"blue\": \"0\", \"mobile_wt\": \"199\", \"total_measure\": 59.0, \"share_within_group\": 1.360387364537699}, {\"blue\": \"1\", \"mobile_wt\": \"121\", \"total_measure\": 58.0, \"share_within_group\": 1.35450723960766}, {\"blue\": \"0\", \"mobile_wt\": \"153\", \"total_measure\": 58.0, \"share_within_group\": 1.3373299515794328}, {\"blue\": \"1\", \"mobile_wt\": \"113\", \"total_measure\": 57.0, \"share_within_group\": 1.3311536665109762}, {\"blue\": \"0\", \"mobile_wt\": \"159\", \"total_measure\": 57.0, \"share_within_group\": 1.3142725386211667}, {\"blue\": \"1\", \"mobile_wt\": \"80\", \"total_measure\": 55.0, \"share_within_group\": 1.2844465203176085}, {\"blue\": \"0\", \"mobile_wt\": \"105\", \"total_measure\": 55.0, \"share_within_group\": 1.2681577127046346}, {\"blue\": \"1\", \"mobile_wt\": \"169\", \"total_measure\": 54.0, \"share_within_group\": 1.261092947220925}, {\"blue\": \"0\", \"mobile_wt\": \"84\", \"total_measure\": 54.0, \"share_within_group\": 1.2451002997463685}, {\"blue\": \"1\", \"mobile_wt\": \"101\", \"total_measure\": 53.0, \"share_within_group\": 1.237739374124241}, {\"blue\": \"1\", \"mobile_wt\": \"134\", \"total_measure\": 53.0, \"share_within_group\": 1.237739374124241}, {\"blue\": \"1\", \"mobile_wt\": \"157\", \"total_measure\": 53.0, \"share_within_group\": 1.237739374124241}, {\"blue\": \"1\", \"mobile_wt\": \"198\", \"total_measure\": 53.0, \"share_within_group\": 1.237739374124241}, {\"blue\": \"0\", \"mobile_wt\": \"114\", \"total_measure\": 53.0, \"share_within_group\": 1.2220428867881024}, {\"blue\": \"1\", \"mobile_wt\": \"162\", \"total_measure\": 52.0, \"share_within_group\": 1.2143858010275572}, {\"blue\": \"1\", \"mobile_wt\": \"172\", \"total_measure\": 52.0, \"share_within_group\": 1.2143858010275572}, {\"blue\": \"0\", \"mobile_wt\": \"188\", \"total_measure\": 52.0, \"share_within_group\": 1.1989854738298362}, {\"blue\": \"0\", \"mobile_wt\": \"113\", \"total_measure\": 50.0, \"share_within_group\": 1.1528706479133042}, {\"blue\": \"0\", \"mobile_wt\": \"91\", \"total_measure\": 50.0, \"share_within_group\": 1.1528706479133042}, {\"blue\": \"1\", \"mobile_wt\": \"189\", \"total_measure\": 49.0, \"share_within_group\": 1.144325081737506}, {\"blue\": \"1\", \"mobile_wt\": \"199\", \"total_measure\": 49.0, \"share_within_group\": 1.144325081737506}, {\"blue\": \"0\", \"mobile_wt\": \"123\", \"total_measure\": 49.0, \"share_within_group\": 1.129813234955038}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.42}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b53f4158060a0030ee614631672c756b1b893f0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:36:44.435234+00:00", + "ended_at": "2026-05-19T15:36:53.673600+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_d6de0783288ba760", + "problem_id": "v2p_m10_6261c6348b6f9544", + "dataset_id": "m10", + "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=blue, measure_col=fc.", + "bindings": { + "group_col": "blue", + "measure_col": "fc", + "item_col": "mobile_wt", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=30" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_d6de0783288ba760.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_d6de0783288ba760", + "api_calls": 0, + "input_tokens": 15333, + "cached_input_tokens": 12032, + "output_tokens": 350, + "total_tokens": 15683, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9227.11, + "sql_execution_elapsed_ms_total": 5.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0b2fe4e482c0e323612631cb47c7d1bd4d1b46a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:53.665307+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": 9227.11, "started_at": "2026-05-19T15:36:44.436599+00:00", "ended_at": "2026-05-19T15:36:53.663742+00:00", "prompt_metrics": {"chars": 10900, "bytes_utf8": 10900, "lines": 350, "estimated_tokens": null}, "response_metrics": {"chars": 551, "bytes_utf8": 551, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15333, "cached_input_tokens": 12032, "output_tokens": 350, "reasoning_output_tokens": 190}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"blue\\\", \\\"mobile_wt\\\",\\n SUM(CAST(\\\"fc\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"fc\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"fc\\\" AS REAL))) OVER (PARTITION BY \\\"blue\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"blue\\\", \\\"mobile_wt\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned Within-Group Share of Total template with group_col=\\\"blue\\\", item_col=\\\"mobile_wt\\\", and measure_col=\\\"fc\\\". CAST to REAL is used because the schema stores values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e3a80c9cbce996eb1e4761b2695f1b41ddce2b85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_d6de0783288ba760", + "api_calls": 0, + "input_tokens": 15333, + "cached_input_tokens": 12032, + "output_tokens": 350, + "total_tokens": 15683, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9227.11, + "sql_execution_elapsed_ms_total": 5.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d765f1169c46fd6a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d765f1169c46fd6a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc468daf5345f70299ea343a589a440a9cc4d499 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d765f1169c46fd6a/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "1", "support": 1523, "support_share": 0.7615, "cumulative_support": 1523}, {"value_label": "0", "support": 477, "support_share": 0.2385, "cumulative_support": 2000}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d765f1169c46fd6a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d765f1169c46fd6a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7a4bdc7fa40cbee86301ff252308d7ac3caa2fbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d765f1169c46fd6a/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_d765f1169c46fd6a +-- problem_id: v2p_m10_809db421f7b49bc1 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "three_g" AS value_label, COUNT(*) AS support + FROM "m10" + GROUP BY "three_g" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d765f1169c46fd6a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d765f1169c46fd6a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1b9b9f83454755e2ce2f282c283eb02d4f30a79f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d765f1169c46fd6a/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m10_d765f1169c46fd6a\n-- problem_id: v2p_m10_809db421f7b49bc1\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"three_g\" AS value_label, COUNT(*) AS support\n FROM \"m10\"\n GROUP BY \"three_g\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m10_d765f1169c46fd6a\\n-- problem_id: v2p_m10_809db421f7b49bc1\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"three_g\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m10\\\"\\n GROUP BY \\\"three_g\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"1\", \"support\": 1523, \"support_share\": 0.7615, \"cumulative_support\": 1523}, {\"value_label\": \"0\", \"support\": 477, \"support_share\": 0.2385, \"cumulative_support\": 2000}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.03}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d765f1169c46fd6a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d765f1169c46fd6a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dd4beb5d02aa788c73bcb88c113d618df9788866 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d765f1169c46fd6a/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.607499+00:00", + "ended_at": "2026-05-19T16:08:44.609411+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_d765f1169c46fd6a", + "problem_id": "v2p_m10_809db421f7b49bc1", + "dataset_id": "m10", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=three_g.", + "bindings": { + "group_col": "three_g" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_d765f1169c46fd6a.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d765f1169c46fd6a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d765f1169c46fd6a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d765f1169c46fd6a/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c412c7ade4fa8c9a1303f5d79d83a23b25504a37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/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=four_g, group_col_2=n_cores. +Result preview: [{"four_g": "1", "n_cores": "8", "row_count": 133}, {"four_g": "0", "n_cores": "7", "row_count": 132}, {"four_g": "1", "n_cores": "7", "row_count": 127}, {"four_g": "0", "n_cores": "8", "row_count": 123}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..cd376c52d398ead3da500f4a6919d72bb2157196 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_dc1e7d9dc1770941 +-- problem_id: v2p_m10_b0467668a0fd7c57 +-- realization_mode: agent +-- source_kind: agent +SELECT "four_g", "n_cores", COUNT(*) AS row_count +FROM "m10" +WHERE CAST("n_cores" AS REAL) >= 7.0 +GROUP BY "four_g", "n_cores" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6d2faf499727a783f09c0f8a9848983fb216a84f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/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 \"four_g\", \"n_cores\", COUNT(*) AS row_count\nFROM \"m10\"\nWHERE CAST(\"n_cores\" AS REAL) >= 7.0\nGROUP BY \"four_g\", \"n_cores\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"four_g\\\", \\\"n_cores\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"n_cores\\\" AS REAL) >= 7.0\\nGROUP BY \\\"four_g\\\", \\\"n_cores\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"four_g\", \"n_cores\", \"row_count\"], \"rows\": [{\"four_g\": \"1\", \"n_cores\": \"8\", \"row_count\": 133}, {\"four_g\": \"0\", \"n_cores\": \"7\", \"row_count\": 132}, {\"four_g\": \"1\", \"n_cores\": \"7\", \"row_count\": 127}, {\"four_g\": \"0\", \"n_cores\": \"8\", \"row_count\": 123}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.13}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..45860421c5005f1926e54dda2f95e3459ec44c6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:41:27.890060+00:00", + "ended_at": "2026-05-19T15:41:42.427359+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_dc1e7d9dc1770941", + "problem_id": "v2p_m10_b0467668a0fd7c57", + "dataset_id": "m10", + "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=four_g, group_col_2=n_cores.", + "bindings": { + "group_col": "four_g", + "group_col_2": "n_cores", + "predicate_col": "n_cores", + "predicate_op": ">=", + "predicate_value": 7.0, + "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": 3064.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "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=4", + "sql_variant_index=1/1", + "binding_index=51" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_dc1e7d9dc1770941.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_dc1e7d9dc1770941", + "api_calls": 0, + "input_tokens": 15315, + "cached_input_tokens": 14720, + "output_tokens": 347, + "total_tokens": 15662, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14532.36, + "sql_execution_elapsed_ms_total": 1.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4c268992e90dd44b264ac10c77ef43837c9a7183 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:42.424604+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": 14532.36, "started_at": "2026-05-19T15:41:27.891127+00:00", "ended_at": "2026-05-19T15:41:42.423521+00:00", "prompt_metrics": {"chars": 10814, "bytes_utf8": 10814, "lines": 352, "estimated_tokens": null}, "response_metrics": {"chars": 453, "bytes_utf8": 453, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15315, "cached_input_tokens": 14720, "output_tokens": 347, "reasoning_output_tokens": 213}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"four_g\\\", \\\"n_cores\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"n_cores\\\" AS REAL) >= 7.0\\nGROUP BY \\\"four_g\\\", \\\"n_cores\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the specified filtered two-dimensional group count template with group_col=\\\"four_g\\\", group_col_2=\\\"n_cores\\\", and predicate on \\\"n_cores\\\" >= 7.0. Applied CAST to REAL because the schema stores columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ca470fe5682051914c9875f501123b73e40fc33c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_dc1e7d9dc1770941", + "api_calls": 0, + "input_tokens": 15315, + "cached_input_tokens": 14720, + "output_tokens": 347, + "total_tokens": 15662, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14532.36, + "sql_execution_elapsed_ms_total": 1.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..be1a34d8fe20f6786f8f637017e1aa8a600cc9f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/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=m_dep, measure_col=n_cores. +Result preview: [{"m_dep": "0.1", "total_measure": 1469}, {"m_dep": "0.2", "total_measure": 954}, {"m_dep": "0.3", "total_measure": 923}, {"m_dep": "0.8", "total_measure": 920}, {"m_dep": "0.5", "total_measure": 916}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..64690767ada4b56058606437b574816d670cd665 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_dcbe7d5f9bfe3ca6 +-- problem_id: v2p_m10_7e3b4d8df243380b +-- realization_mode: agent +-- source_kind: agent +SELECT "m_dep", SUM(CAST("n_cores" AS NUMERIC)) AS "total_measure" +FROM "m10" +GROUP BY "m_dep" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..43f80c79244e9d96beb922998bdfb618498cb0a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/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 \"m_dep\", SUM(CAST(\"n_cores\" AS NUMERIC)) AS \"total_measure\"\nFROM \"m10\"\nGROUP BY \"m_dep\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"m_dep\\\", SUM(CAST(\\\"n_cores\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"m_dep\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"m_dep\", \"total_measure\"], \"rows\": [{\"m_dep\": \"0.1\", \"total_measure\": 1469}, {\"m_dep\": \"0.2\", \"total_measure\": 954}, {\"m_dep\": \"0.3\", \"total_measure\": 923}, {\"m_dep\": \"0.8\", \"total_measure\": 920}, {\"m_dep\": \"0.5\", \"total_measure\": 916}, {\"m_dep\": \"0.7\", \"total_measure\": 895}, {\"m_dep\": \"0.6\", \"total_measure\": 872}, {\"m_dep\": \"0.9\", \"total_measure\": 860}, {\"m_dep\": \"0.4\", \"total_measure\": 721}, {\"m_dep\": \"1.0\", \"total_measure\": 511}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.3}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fe13f14e3885050d7af71b8801cf36380c457344 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:30:07.598575+00:00", + "ended_at": "2026-05-19T15:30:20.223770+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_dcbe7d5f9bfe3ca6", + "problem_id": "v2p_m10_7e3b4d8df243380b", + "dataset_id": "m10", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=m_dep, measure_col=n_cores.", + "bindings": { + "group_col": "m_dep", + "measure_col": "n_cores", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=5" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_dcbe7d5f9bfe3ca6.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_dcbe7d5f9bfe3ca6", + "api_calls": 0, + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 587, + "total_tokens": 15804, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12620.9, + "sql_execution_elapsed_ms_total": 1.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a67bff815cf28ff386ef0b03c8dcd8a619dcdfb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:20.221277+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": 12620.9, "started_at": "2026-05-19T15:30:07.599556+00:00", "ended_at": "2026-05-19T15:30:20.220480+00:00", "prompt_metrics": {"chars": 10500, "bytes_utf8": 10500, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 369, "bytes_utf8": 369, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15217, "cached_input_tokens": 12032, "output_tokens": 587, "reasoning_output_tokens": 477}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"m_dep\\\", SUM(CAST(\\\"n_cores\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"m_dep\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the provided grouped-sum template with group_col=\\\"m_dep\\\" and measure_col=\\\"n_cores\\\". \\\"n_cores\\\" is cast to NUMERIC because the SQLite schema stores columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..094e7a621e4c6c92ca3643748b12e1c650b6a177 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_dcbe7d5f9bfe3ca6", + "api_calls": 0, + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 587, + "total_tokens": 15804, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12620.9, + "sql_execution_elapsed_ms_total": 1.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..418262d5e2c057230379dab3038d6123c1ffb020 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/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=dual_sim, measure_col=fc. +Result preview: [{"dual_sim": "0", "total_measure": 4354.0}, {"dual_sim": "1", "total_measure": 4265.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..944a007b033e6c3144cf3cf114f02908cad3af86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_dce3b514bafa72da +-- problem_id: v2p_m10_78c6b36bb79797a1 +-- realization_mode: agent +-- source_kind: agent +SELECT "dual_sim", SUM(CAST("fc" AS REAL)) AS total_measure +FROM "m10" +GROUP BY "dual_sim" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c6dc447835f6b90263712ef6c6ca03db3f18fec9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/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 \"dual_sim\", SUM(CAST(\"fc\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"dual_sim\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"dual_sim\\\", SUM(CAST(\\\"fc\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"dual_sim\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"dual_sim\", \"total_measure\"], \"rows\": [{\"dual_sim\": \"0\", \"total_measure\": 4354.0}, {\"dual_sim\": \"1\", \"total_measure\": 4265.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.24}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7f9b5846c59fb5775986192a70302ab72d206ee8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:29:12.168254+00:00", + "ended_at": "2026-05-19T15:29:20.237054+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_dce3b514bafa72da", + "problem_id": "v2p_m10_78c6b36bb79797a1", + "dataset_id": "m10", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=dual_sim, measure_col=fc.", + "bindings": { + "group_col": "dual_sim", + "measure_col": "fc", + "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": 5.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=2" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_dce3b514bafa72da.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_dce3b514bafa72da", + "api_calls": 0, + "input_tokens": 15215, + "cached_input_tokens": 12032, + "output_tokens": 249, + "total_tokens": 15464, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8064.08, + "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_b/m10/artifacts/v2q_m10_dce3b514bafa72da/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1aab01bfdccdeef32d63b1c313cf9065f311db84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:20.234470+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": 8064.08, "started_at": "2026-05-19T15:29:12.169385+00:00", "ended_at": "2026-05-19T15:29:20.233500+00:00", "prompt_metrics": {"chars": 10498, "bytes_utf8": 10498, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 360, "bytes_utf8": 360, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15215, "cached_input_tokens": 12032, "output_tokens": 249, "reasoning_output_tokens": 152}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"dual_sim\\\", SUM(CAST(\\\"fc\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"dual_sim\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"dual_sim\\\" and measure_col=\\\"fc\\\". Cast \\\"fc\\\" from TEXT to REAL for SQLite-compatible numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5909bacd50e7f0a0992ba6c943b81482f39e4d39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dce3b514bafa72da/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_dce3b514bafa72da", + "api_calls": 0, + "input_tokens": 15215, + "cached_input_tokens": 12032, + "output_tokens": 249, + "total_tokens": 15464, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8064.08, + "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_b/m10/artifacts/v2q_m10_dce3b514bafa72da/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ddfeb8b5de34eb45/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ddfeb8b5de34eb45/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..976a00e27184bf1ce217de893fc306c005447add --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ddfeb8b5de34eb45/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "17", "support": 193, "support_share": 0.0965, "support_rank": 1}, {"value_label": "12", "support": 157, "support_share": 0.0785, "support_rank": 2}, {"value_label": "7", "support": 151, "support_share": 0.0755, "support_rank": 3}, {"value_label": "14", "support": 143, "support_share": 0.0715, "support_rank": 4}, {"value_label": "16", "support": 143, "support_share": 0.0715, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ddfeb8b5de34eb45/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ddfeb8b5de34eb45/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..434b139814bcf443bdcb2827e2787026c7462a73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ddfeb8b5de34eb45/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_ddfeb8b5de34eb45 +-- problem_id: v2p_m10_506cd3d4e4a94f59 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "sc_h" AS value_label, COUNT(*) AS support + FROM "m10" + GROUP BY "sc_h" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ddfeb8b5de34eb45/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ddfeb8b5de34eb45/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..857909d1e4f8314474dac97b2fad7e167d2e4624 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ddfeb8b5de34eb45/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\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_m10_ddfeb8b5de34eb45\n-- problem_id: v2p_m10_506cd3d4e4a94f59\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"sc_h\" AS value_label, COUNT(*) AS support\n FROM \"m10\"\n GROUP BY \"sc_h\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\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_m10_ddfeb8b5de34eb45\\n-- problem_id: v2p_m10_506cd3d4e4a94f59\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"sc_h\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m10\\\"\\n GROUP BY \\\"sc_h\\\"\\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\": \"17\", \"support\": 193, \"support_share\": 0.0965, \"support_rank\": 1}, {\"value_label\": \"12\", \"support\": 157, \"support_share\": 0.0785, \"support_rank\": 2}, {\"value_label\": \"7\", \"support\": 151, \"support_share\": 0.0755, \"support_rank\": 3}, {\"value_label\": \"14\", \"support\": 143, \"support_share\": 0.0715, \"support_rank\": 4}, {\"value_label\": \"16\", \"support\": 143, \"support_share\": 0.0715, \"support_rank\": 5}, {\"value_label\": \"15\", \"support\": 135, \"support_share\": 0.0675, \"support_rank\": 6}, {\"value_label\": \"13\", \"support\": 131, \"support_share\": 0.0655, \"support_rank\": 7}, {\"value_label\": \"11\", \"support\": 126, \"support_share\": 0.063, \"support_rank\": 8}, {\"value_label\": \"10\", \"support\": 125, \"support_share\": 0.0625, \"support_rank\": 9}, {\"value_label\": \"19\", \"support\": 124, \"support_share\": 0.062, \"support_rank\": 10}, {\"value_label\": \"9\", \"support\": 124, \"support_share\": 0.062, \"support_rank\": 11}, {\"value_label\": \"18\", \"support\": 120, \"support_share\": 0.06, \"support_rank\": 12}, {\"value_label\": \"8\", \"support\": 117, \"support_share\": 0.0585, \"support_rank\": 13}, {\"value_label\": \"6\", \"support\": 114, \"support_share\": 0.057, \"support_rank\": 14}, {\"value_label\": \"5\", \"support\": 97, \"support_share\": 0.0485, \"support_rank\": 15}], \"row_count_returned\": 15, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.97}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ddfeb8b5de34eb45/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ddfeb8b5de34eb45/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..482b201a7bde2cdeb241a883620db3556aca1960 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ddfeb8b5de34eb45/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.629354+00:00", + "ended_at": "2026-05-19T16:08:44.630933+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_ddfeb8b5de34eb45", + "problem_id": "v2p_m10_506cd3d4e4a94f59", + "dataset_id": "m10", + "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=sc_h.", + "bindings": { + "group_col": "sc_h" + }, + "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=8", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_ddfeb8b5de34eb45.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ddfeb8b5de34eb45/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ddfeb8b5de34eb45/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ddfeb8b5de34eb45/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e2037775c9be91dc/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e2037775c9be91dc/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b29d83ae5e0ba5269675f1bdbef3dcd0c3b11f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e2037775c9be91dc/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0.1", "support": 320, "support_share": 0.16, "cumulative_support": 320}, {"value_label": "0.2", "support": 213, "support_share": 0.1065, "cumulative_support": 533}, {"value_label": "0.8", "support": 208, "support_share": 0.104, "cumulative_support": 741}, {"value_label": "0.5", "support": 205, "support_share": 0.1025, "cumulative_support": 946}, {"value_label": "0.7", "support": 200, "support_share": 0.1, "cumulative_support": 1146}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e2037775c9be91dc/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e2037775c9be91dc/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..210143f4d37d0dc08db24c94daa4fd677ac3609a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e2037775c9be91dc/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_e2037775c9be91dc +-- problem_id: v2p_m10_f6f2655ad5bed3f7 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "m_dep" AS value_label, COUNT(*) AS support + FROM "m10" + GROUP BY "m_dep" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e2037775c9be91dc/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e2037775c9be91dc/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..88b4393085bc04cd400d4c6b2e254fc967d8b36e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e2037775c9be91dc/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m10_e2037775c9be91dc\n-- problem_id: v2p_m10_f6f2655ad5bed3f7\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"m_dep\" AS value_label, COUNT(*) AS support\n FROM \"m10\"\n GROUP BY \"m_dep\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m10_e2037775c9be91dc\\n-- problem_id: v2p_m10_f6f2655ad5bed3f7\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"m_dep\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m10\\\"\\n GROUP BY \\\"m_dep\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0.1\", \"support\": 320, \"support_share\": 0.16, \"cumulative_support\": 320}, {\"value_label\": \"0.2\", \"support\": 213, \"support_share\": 0.1065, \"cumulative_support\": 533}, {\"value_label\": \"0.8\", \"support\": 208, \"support_share\": 0.104, \"cumulative_support\": 741}, {\"value_label\": \"0.5\", \"support\": 205, \"support_share\": 0.1025, \"cumulative_support\": 946}, {\"value_label\": \"0.7\", \"support\": 200, \"support_share\": 0.1, \"cumulative_support\": 1146}, {\"value_label\": \"0.3\", \"support\": 199, \"support_share\": 0.0995, \"cumulative_support\": 1345}, {\"value_label\": \"0.9\", \"support\": 195, \"support_share\": 0.0975, \"cumulative_support\": 1540}, {\"value_label\": \"0.6\", \"support\": 186, \"support_share\": 0.093, \"cumulative_support\": 1726}, {\"value_label\": \"0.4\", \"support\": 168, \"support_share\": 0.084, \"cumulative_support\": 1894}, {\"value_label\": \"1.0\", \"support\": 106, \"support_share\": 0.053, \"cumulative_support\": 2000}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.18}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e2037775c9be91dc/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e2037775c9be91dc/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bd70407f9f4a12064545a4adbccd54dacdb72f55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e2037775c9be91dc/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.594391+00:00", + "ended_at": "2026-05-19T16:08:44.596373+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_e2037775c9be91dc", + "problem_id": "v2p_m10_f6f2655ad5bed3f7", + "dataset_id": "m10", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=m_dep.", + "bindings": { + "group_col": "m_dep" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_e2037775c9be91dc.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e2037775c9be91dc/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e2037775c9be91dc/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e2037775c9be91dc/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e30f0eed15b4d038/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e30f0eed15b4d038/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d2bf2809ffc6b5922c0fe641d38abc81be2c146 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e30f0eed15b4d038/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"px_height": "347", "support": 7, "avg_response": 0.31428571428571433}, {"px_height": "371", "support": 6, "avg_response": 0.6166666666666667}, {"px_height": "179", "support": 6, "avg_response": 0.6}, {"px_height": "275", "support": 6, "avg_response": 0.5666666666666667}, {"px_height": "356", "support": 5, "avg_response": 0.74}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e30f0eed15b4d038/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e30f0eed15b4d038/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..377b74e1f6bc5b402b1cb09f2dffdc9144e1640e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e30f0eed15b4d038/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_e30f0eed15b4d038 +-- problem_id: v2p_m10_2c1170b5d9fbcd76 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "px_height", + COUNT(*) AS support, + AVG("m_dep") AS avg_response +FROM "m10" +GROUP BY "px_height" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e30f0eed15b4d038/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e30f0eed15b4d038/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6eefa4c8e049b5d3b86fce60cd02fef978101234 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e30f0eed15b4d038/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\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_m10_e30f0eed15b4d038\n-- problem_id: v2p_m10_2c1170b5d9fbcd76\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"px_height\",\n COUNT(*) AS support,\n AVG(\"m_dep\") AS avg_response\nFROM \"m10\"\nGROUP BY \"px_height\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\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_m10_e30f0eed15b4d038\\n-- problem_id: v2p_m10_2c1170b5d9fbcd76\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"px_height\\\",\\n COUNT(*) AS support,\\n AVG(\\\"m_dep\\\") AS avg_response\\nFROM \\\"m10\\\"\\nGROUP BY \\\"px_height\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"px_height\", \"support\", \"avg_response\"], \"rows\": [{\"px_height\": \"347\", \"support\": 7, \"avg_response\": 0.31428571428571433}, {\"px_height\": \"371\", \"support\": 6, \"avg_response\": 0.6166666666666667}, {\"px_height\": \"179\", \"support\": 6, \"avg_response\": 0.6}, {\"px_height\": \"275\", \"support\": 6, \"avg_response\": 0.5666666666666667}, {\"px_height\": \"356\", \"support\": 5, \"avg_response\": 0.74}, {\"px_height\": \"42\", \"support\": 5, \"avg_response\": 0.72}, {\"px_height\": \"327\", \"support\": 5, \"avg_response\": 0.6799999999999999}, {\"px_height\": \"398\", \"support\": 5, \"avg_response\": 0.62}, {\"px_height\": \"322\", \"support\": 5, \"avg_response\": 0.58}, {\"px_height\": \"293\", \"support\": 5, \"avg_response\": 0.52}, {\"px_height\": \"447\", \"support\": 5, \"avg_response\": 0.52}, {\"px_height\": \"730\", \"support\": 5, \"avg_response\": 0.52}, {\"px_height\": \"674\", \"support\": 5, \"avg_response\": 0.5}, {\"px_height\": \"211\", \"support\": 5, \"avg_response\": 0.48}, {\"px_height\": \"168\", \"support\": 5, \"avg_response\": 0.45999999999999996}, {\"px_height\": \"88\", \"support\": 5, \"avg_response\": 0.45999999999999996}, {\"px_height\": \"286\", \"support\": 5, \"avg_response\": 0.4}, {\"px_height\": \"56\", \"support\": 5, \"avg_response\": 0.38}, {\"px_height\": \"667\", \"support\": 5, \"avg_response\": 0.38}, {\"px_height\": \"526\", \"support\": 5, \"avg_response\": 0.32}, {\"px_height\": \"649\", \"support\": 5, \"avg_response\": 0.27999999999999997}], \"row_count_returned\": 21, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.41}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e30f0eed15b4d038/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e30f0eed15b4d038/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ea3d8ffc09004fed3b13b225dbdd3773a34b5791 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e30f0eed15b4d038/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.660000+00:00", + "ended_at": "2026-05-19T16:08:44.662011+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_e30f0eed15b4d038", + "problem_id": "v2p_m10_2c1170b5d9fbcd76", + "dataset_id": "m10", + "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=m_dep, key_col=px_height.", + "bindings": { + "key_col": "px_height", + "measure_col": "m_dep", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=10", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_e30f0eed15b4d038.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e30f0eed15b4d038/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e30f0eed15b4d038/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e30f0eed15b4d038/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e3993a603f332422/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e3993a603f332422/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4c9681b8049e3e69287cd4fbb8419c57b10e4f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e3993a603f332422/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_b/m10/artifacts/v2q_m10_e3993a603f332422/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e3993a603f332422/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..52fad08ba54d1d2e2e62abc8347e91247a7c2055 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e3993a603f332422/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_e3993a603f332422 +-- problem_id: v2p_m10_fac1517dc426537b +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "ram", + COUNT(*) AS support, + AVG("clock_speed") AS avg_response +FROM "m10" +GROUP BY "ram" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e3993a603f332422/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e3993a603f332422/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d9b85e767b870cee0194ba26578fea70f7ef7b4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e3993a603f332422/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\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_m10_e3993a603f332422\n-- problem_id: v2p_m10_fac1517dc426537b\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"ram\",\n COUNT(*) AS support,\n AVG(\"clock_speed\") AS avg_response\nFROM \"m10\"\nGROUP BY \"ram\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\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_m10_e3993a603f332422\\n-- problem_id: v2p_m10_fac1517dc426537b\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"ram\\\",\\n COUNT(*) AS support,\\n AVG(\\\"clock_speed\\\") AS avg_response\\nFROM \\\"m10\\\"\\nGROUP BY \\\"ram\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"ram\", \"support\", \"avg_response\"], \"rows\": [], \"row_count_returned\": 0, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.37}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e3993a603f332422/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e3993a603f332422/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9b6263dd464d8e3ca365d7e1f43b9c0836c4835e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e3993a603f332422/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.664855+00:00", + "ended_at": "2026-05-19T16:08:44.666764+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_e3993a603f332422", + "problem_id": "v2p_m10_fac1517dc426537b", + "dataset_id": "m10", + "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=clock_speed, key_col=ram.", + "bindings": { + "key_col": "ram", + "measure_col": "clock_speed", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_e3993a603f332422.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e3993a603f332422/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e3993a603f332422/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e3993a603f332422/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..98abffb943bf8534477808ec3e4e5ec9fe812db2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:04.688274+00:00", + "ended_at": "2026-05-19T16:07:08.023127+00:00", + "elapsed_ms": 3334.81, + "returncode": 1, + "prompt_metrics": { + "chars": 10581, + "bytes_utf8": 10581, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4856a68caaa44605d39b6d7c893be627d09cdc3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:09.024915+00:00", + "ended_at": "2026-05-19T16:07:12.207403+00:00", + "elapsed_ms": 3182.46, + "returncode": 1, + "prompt_metrics": { + "chars": 10581, + "bytes_utf8": 10581, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0ef8acfbcebfd23f403b298790911b745251bb18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=blue, measure_col=ram.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "blue", + "measure_col": "ram", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2682.04, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0ef8acfbcebfd23f403b298790911b745251bb18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=blue, measure_col=ram.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "blue", + "measure_col": "ram", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2682.04, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..78d2c38c9615017b53f959b90b395a53234ffbad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-a3ea-74d0-9147-7c2b5fad43de"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..32469100ea9192584f769b9600d46a9acb0ad8db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-a3ea-74d0-9147-7c2b5fad43de"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1374234e114af89db77a82addff948d8c7f80db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-b4da-75b1-aad7-78a27b3e189b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca941bea99dff1d78ebece865ddba6b4efbbc083 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-b4da-75b1-aad7-78a27b3e189b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_eba7f9694a7790f4/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0d20d0fea629f5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0d20d0fea629f5/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec793dd8ee8d5c12a56b2c47eef0e7caac9f7318 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0d20d0fea629f5/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 1010, "support_share": 0.505, "support_rank": 1}, {"value_label": "1", "support": 990, "support_share": 0.495, "support_rank": 2}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0d20d0fea629f5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0d20d0fea629f5/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b386c117f10d08c3ea68fbf04df24aaa72486321 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0d20d0fea629f5/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_ee0d20d0fea629f5 +-- problem_id: v2p_m10_7f36c95515a1777a +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "blue" AS value_label, COUNT(*) AS support + FROM "m10" + GROUP BY "blue" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0d20d0fea629f5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0d20d0fea629f5/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0ccfb32eca79be3de646846f54277b4dd60a32f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0d20d0fea629f5/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m10_ee0d20d0fea629f5\n-- problem_id: v2p_m10_7f36c95515a1777a\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"blue\" AS value_label, COUNT(*) AS support\n FROM \"m10\"\n GROUP BY \"blue\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m10_ee0d20d0fea629f5\\n-- problem_id: v2p_m10_7f36c95515a1777a\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"blue\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m10\\\"\\n GROUP BY \\\"blue\\\"\\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\": 1010, \"support_share\": 0.505, \"support_rank\": 1}, {\"value_label\": \"1\", \"support\": 990, \"support_share\": 0.495, \"support_rank\": 2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.93}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0d20d0fea629f5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0d20d0fea629f5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b04fb94bb9471b6e93f4a4fdd222be1bfbad8262 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0d20d0fea629f5/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.614755+00:00", + "ended_at": "2026-05-19T16:08:44.616326+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_ee0d20d0fea629f5", + "problem_id": "v2p_m10_7f36c95515a1777a", + "dataset_id": "m10", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=blue.", + "bindings": { + "group_col": "blue" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_ee0d20d0fea629f5.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0d20d0fea629f5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0d20d0fea629f5/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0d20d0fea629f5/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a7a21c475da49db3b6a4e81cf384e04f21f4cf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/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=dual_sim, measure_col=fc. +Result preview: [{"dual_sim": "0", "total_measure": 4354}, {"dual_sim": "1", "total_measure": 4265}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..666c30180e019dc3b2fafc40b1075111b2e4e1dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_ee0f1046b84da85c +-- problem_id: v2p_m10_5c144a29508c9786 +-- realization_mode: agent +-- source_kind: agent +SELECT "dual_sim", SUM(CAST("fc" AS NUMERIC)) AS "total_measure" +FROM "m10" +GROUP BY "dual_sim" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9fa530bc4f8ef2abdb65434e28b6c117ea76e091 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/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 \"dual_sim\", SUM(CAST(\"fc\" AS NUMERIC)) AS \"total_measure\"\nFROM \"m10\"\nGROUP BY \"dual_sim\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"dual_sim\\\", SUM(CAST(\\\"fc\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"dual_sim\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"dual_sim\", \"total_measure\"], \"rows\": [{\"dual_sim\": \"0\", \"total_measure\": 4354}, {\"dual_sim\": \"1\", \"total_measure\": 4265}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.13}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1e835bf5588de50cff8e8553f2c559771f9abfda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T15:29:03.769289+00:00", + "ended_at": "2026-05-19T15:29:12.167714+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_ee0f1046b84da85c", + "problem_id": "v2p_m10_5c144a29508c9786", + "dataset_id": "m10", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_conditional_contrast", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=dual_sim, measure_col=fc.", + "bindings": { + "group_col": "dual_sim", + "measure_col": "fc", + "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": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=2" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_ee0f1046b84da85c.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ee0f1046b84da85c", + "api_calls": 0, + "input_tokens": 15215, + "cached_input_tokens": 12032, + "output_tokens": 242, + "total_tokens": 15457, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8394.1, + "sql_execution_elapsed_ms_total": 1.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0f7e0d8eae3155dfb2291d8904e4aefb3c4a0913 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:12.165284+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": 8394.1, "started_at": "2026-05-19T15:29:03.770252+00:00", "ended_at": "2026-05-19T15:29:12.164385+00:00", "prompt_metrics": {"chars": 10497, "bytes_utf8": 10497, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 371, "bytes_utf8": 371, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15215, "cached_input_tokens": 12032, "output_tokens": 242, "reasoning_output_tokens": 138}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"dual_sim\\\", SUM(CAST(\\\"fc\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"dual_sim\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"dual_sim\\\" and measure_col=\\\"fc\\\". Cast \\\"fc\\\" to NUMERIC because the SQLite schema stores columns as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..aff9469961ad50a28d7168d5c054bd55af6a4fd4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ee0f1046b84da85c", + "api_calls": 0, + "input_tokens": 15215, + "cached_input_tokens": 12032, + "output_tokens": 242, + "total_tokens": 15457, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8394.1, + "sql_execution_elapsed_ms_total": 1.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff9fe254115e46121dadb552291ceec04da7e911 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/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=pc. +Result preview: [{"pc": "5", "support": 59}, {"pc": "11", "support": 79}, {"pc": "18", "support": 82}, {"pc": "19", "support": 83}, {"pc": "13", "support": 85}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3b6d4a0ed01d7eab7641364f31e5fa532e575af6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_ee2a4188703e68fe +-- problem_id: v2p_m10_05a336db9e52dc75 +-- realization_mode: agent +-- source_kind: agent +SELECT + "pc", + COUNT(*) AS "support" +FROM "m10" +GROUP BY "pc" +ORDER BY "support" ASC, "pc" ASC +LIMIT 17; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f87c2c389fd8336eac4a3d185c4e54a2c2c4129c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/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 \"pc\",\n COUNT(*) AS \"support\"\nFROM \"m10\"\nGROUP BY \"pc\"\nORDER BY \"support\" ASC, \"pc\" ASC\nLIMIT 17;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"pc\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"pc\\\"\\nORDER BY \\\"support\\\" ASC, \\\"pc\\\" ASC\\nLIMIT 17;\", \"columns\": [\"pc\", \"support\"], \"rows\": [{\"pc\": \"5\", \"support\": 59}, {\"pc\": \"11\", \"support\": 79}, {\"pc\": \"18\", \"support\": 82}, {\"pc\": \"19\", \"support\": 83}, {\"pc\": \"13\", \"support\": 85}, {\"pc\": \"16\", \"support\": 88}, {\"pc\": \"8\", \"support\": 89}, {\"pc\": \"12\", \"support\": 90}, {\"pc\": \"15\", \"support\": 92}, {\"pc\": \"3\", \"support\": 93}, {\"pc\": \"4\", \"support\": 95}, {\"pc\": \"6\", \"support\": 95}, {\"pc\": \"17\", \"support\": 99}, {\"pc\": \"2\", \"support\": 99}, {\"pc\": \"0\", \"support\": 101}, {\"pc\": \"1\", \"support\": 104}, {\"pc\": \"14\", \"support\": 104}], \"row_count_returned\": 17, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.13}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e1f6875155a0d3cdcd1334017c105daecf5c8547 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:05:59.445954+00:00", + "ended_at": "2026-05-19T16:06:14.070252+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_ee2a4188703e68fe", + "problem_id": "v2p_m10_05a336db9e52dc75", + "dataset_id": "m10", + "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=pc.", + "bindings": { + "group_col": "pc", + "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": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=127" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_ee2a4188703e68fe.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ee2a4188703e68fe", + "api_calls": 0, + "input_tokens": 15225, + "cached_input_tokens": 12032, + "output_tokens": 353, + "total_tokens": 15578, + "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": 13617.35, + "sql_execution_elapsed_ms_total": 1.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2f8c18480a8f2762130ff1b7d23085aa7364c2a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:02.685113+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": 3236.62, "started_at": "2026-05-19T16:05:59.447150+00:00", "ended_at": "2026-05-19T16:06:02.683815+00:00", "prompt_metrics": {"chars": 10488, "bytes_utf8": 10488, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-a52b-78f0-8792-83bbf53df39b\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:14.067880+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": 10380.73, "started_at": "2026-05-19T16:06:03.686387+00:00", "ended_at": "2026-05-19T16:06:14.067151+00:00", "prompt_metrics": {"chars": 10488, "bytes_utf8": 10488, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 298, "bytes_utf8": 298, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15225, "cached_input_tokens": 12032, "output_tokens": 353, "reasoning_output_tokens": 259}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"pc\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"pc\\\"\\nORDER BY \\\"support\\\" ASC, \\\"pc\\\" ASC\\nLIMIT 17;\",\"notes\":\"Applies the Low-Support Group Count template with group_col bound to \\\"pc\\\" and top_k set to 17.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fefc10f8c2faf831c2852b13064019d92dc0343d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ee2a4188703e68fe", + "api_calls": 0, + "input_tokens": 15225, + "cached_input_tokens": 12032, + "output_tokens": 353, + "total_tokens": 15578, + "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": 13617.35, + "sql_execution_elapsed_ms_total": 1.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3b592a602f13b95ce63aecaef84eecdc2cdcce36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=price_range, condition_col=three_g. +Result preview: [{"price_range": "0", "condition_rate": 0.254}, {"price_range": "1", "condition_rate": 0.244}, {"price_range": "3", "condition_rate": 0.23}, {"price_range": "2", "condition_rate": 0.226}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..274d674231bce6f4f93e26ee758f6e0c492867f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_ef1b226b0ee72a0f +-- problem_id: v2p_m10_c1dab5a06dac312c +-- realization_mode: agent +-- source_kind: agent +SELECT "price_range", + AVG(CASE WHEN "three_g" = '0' THEN 1 ELSE 0 END) AS condition_rate +FROM "m10" +GROUP BY "price_range" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..308a1137902182f4054774a13d04d6c667787530 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate\nSELECT \"price_range\",\n AVG(CASE WHEN \"three_g\" = '0' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m10\"\nGROUP BY \"price_range\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"price_range\\\",\\n AVG(CASE WHEN \\\"three_g\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"price_range\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"price_range\", \"condition_rate\"], \"rows\": [{\"price_range\": \"0\", \"condition_rate\": 0.254}, {\"price_range\": \"1\", \"condition_rate\": 0.244}, {\"price_range\": \"3\", \"condition_rate\": 0.23}, {\"price_range\": \"2\", \"condition_rate\": 0.226}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.73}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f83efa2e36a2f3078d31ed2389457c763cb1d944 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:02:05.259625+00:00", + "ended_at": "2026-05-19T16:02:15.253735+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_ef1b226b0ee72a0f", + "problem_id": "v2p_m10_c1dab5a06dac312c", + "dataset_id": "m10", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=price_range, condition_col=three_g.", + "bindings": { + "group_col": "price_range", + "condition_col": "three_g", + "condition_value": "0", + "positive_value": "1", + "negative_value": "0", + "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": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=104" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_ef1b226b0ee72a0f.sql", + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ef1b226b0ee72a0f", + "api_calls": 0, + "input_tokens": 15278, + "cached_input_tokens": 12032, + "output_tokens": 331, + "total_tokens": 15609, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9988.69, + "sql_execution_elapsed_ms_total": 1.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6dcdc1995310ef688d40a7ee8e11ee7a3ed83780 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:02:15.250511+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": 9988.69, "started_at": "2026-05-19T16:02:05.260785+00:00", "ended_at": "2026-05-19T16:02:15.249501+00:00", "prompt_metrics": {"chars": 10761, "bytes_utf8": 10761, "lines": 351, "estimated_tokens": null}, "response_metrics": {"chars": 421, "bytes_utf8": 421, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15278, "cached_input_tokens": 12032, "output_tokens": 331, "reasoning_output_tokens": 218}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"price_range\\\",\\n AVG(CASE WHEN \\\"three_g\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"price_range\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applies the grouped condition rate template with group_col=\\\"price_range\\\" and condition_col=\\\"three_g\\\", measuring the share of rows where three_g = '0' within each price_range group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..85fe104e13eb5ebc410bde20ab52e8bd886b6094 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ef1b226b0ee72a0f", + "api_calls": 0, + "input_tokens": 15278, + "cached_input_tokens": 12032, + "output_tokens": 331, + "total_tokens": 15609, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9988.69, + "sql_execution_elapsed_ms_total": 1.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef4effa3c0ec85a1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef4effa3c0ec85a1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5cfc224700e366adfc7afc4fa39461b61b998ab7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef4effa3c0ec85a1/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 1010, "support_share": 0.505, "cumulative_support": 1010}, {"value_label": "1", "support": 990, "support_share": 0.495, "cumulative_support": 2000}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef4effa3c0ec85a1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef4effa3c0ec85a1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a76d489849fae0b133a282dad2e1892d88e74fde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef4effa3c0ec85a1/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_b +-- sql_source_dataset_id: m10 +-- 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_m10_ef4effa3c0ec85a1 +-- problem_id: v2p_m10_729dfacd0f52731e +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "blue" AS value_label, COUNT(*) AS support + FROM "m10" + GROUP BY "blue" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef4effa3c0ec85a1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef4effa3c0ec85a1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e6e5f502ec6c744b8d9ec64c2d3b496c95b3e361 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef4effa3c0ec85a1/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_b\n-- sql_source_dataset_id: m10\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m10_ef4effa3c0ec85a1\n-- problem_id: v2p_m10_729dfacd0f52731e\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"blue\" AS value_label, COUNT(*) AS support\n FROM \"m10\"\n GROUP BY \"blue\"\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_b\\n-- sql_source_dataset_id: m10\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m10_ef4effa3c0ec85a1\\n-- problem_id: v2p_m10_729dfacd0f52731e\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"blue\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m10\\\"\\n GROUP BY \\\"blue\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"0\", \"support\": 1010, \"support_share\": 0.505, \"cumulative_support\": 1010}, {\"value_label\": \"1\", \"support\": 990, \"support_share\": 0.495, \"cumulative_support\": 2000}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef4effa3c0ec85a1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef4effa3c0ec85a1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..75c596f12025f5b43945d8292fa534373bf13df4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef4effa3c0ec85a1/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:44.582426+00:00", + "ended_at": "2026-05-19T16:08:44.585651+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_ef4effa3c0ec85a1", + "problem_id": "v2p_m10_729dfacd0f52731e", + "dataset_id": "m10", + "template_id": "tpl_cardinality_distinct_share_profile", + "template_name": "Cardinality Distinct Share Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "support_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Distinct Share Profile to probe support_rank_profile_consistency with semantic role ranked_signal_view. Focus on group_col=blue.", + "bindings": { + "group_col": "blue" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/sql/v2q_m10_ef4effa3c0ec85a1.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef4effa3c0ec85a1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef4effa3c0ec85a1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef4effa3c0ec85a1/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0c9f4685deffbae4acaa43a1235c0d132d9b8bd9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:03:24.854401+00:00", + "ended_at": "2026-05-19T16:03:32.694707+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_f436dba4fa34b3da", + "problem_id": "v2p_m10_81256ba58490f137", + "dataset_id": "m10", + "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=mobile_wt.", + "bindings": { + "measure_col": "mobile_wt", + "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": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=116" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d85ec9aef47b077e248ec2fac62a14e6ba15dba4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:03:28.786214+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": 3930.1, "started_at": "2026-05-19T16:03:24.855355+00:00", "ended_at": "2026-05-19T16:03:28.785473+00:00", "prompt_metrics": {"chars": 10450, "bytes_utf8": 10450, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-4938-7812-aa9f-d59ff01eaae9\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:03:32.694499+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": 2905.47, "started_at": "2026-05-19T16:03:29.787614+00:00", "ended_at": "2026-05-19T16:03:32.693114+00:00", "prompt_metrics": {"chars": 10450, "bytes_utf8": 10450, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-5c80-7310-86c8-22ac47b0a1ae\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8e6a642a647c09b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8e6a642a647c09b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..535aad09a5f9ccf2f20aa3f07ef9f3a35216a31e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8e6a642a647c09b/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:08:14.480815+00:00", + "ended_at": "2026-05-19T16:08:23.593352+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_f8e6a642a647c09b", + "problem_id": "v2p_m10_bc90cf550a1add8d", + "dataset_id": "m10", + "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=four_g, measure_col=price_range.", + "bindings": { + "group_col": "four_g", + "measure_col": "price_range", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=139" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8e6a642a647c09b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8e6a642a647c09b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..11421ced8ab8e45681800de6ece7e678fdc211f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8e6a642a647c09b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:17.943260+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": 3460.3, "started_at": "2026-05-19T16:08:14.482194+00:00", "ended_at": "2026-05-19T16:08:17.942515+00:00", "prompt_metrics": {"chars": 10593, "bytes_utf8": 10593, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-b490-7dc2-b66d-fd28da7be641\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:23.593255+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": 4648.26, "started_at": "2026-05-19T16:08:18.944172+00:00", "ended_at": "2026-05-19T16:08:23.592464+00:00", "prompt_metrics": {"chars": 10593, "bytes_utf8": 10593, "lines": 348, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-c607-7dc1-b9f5-392cec54bdc6\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bdcad3431ebea4f0b18e795d2d42252678ab640a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11069, "bytes_utf8": 11069, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 672, "bytes_utf8": 672, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15355, "cached_input_tokens": 14720, "output_tokens": 466, "reasoning_output_tokens": 272}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..597af509ed597c2e610e4886f5c9ca38e88952d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_fc9e4f871c2e068d", + "api_calls": 0, + "input_tokens": 15355, + "cached_input_tokens": 14720, + "output_tokens": 466, + "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": 10100.14, + "sql_execution_elapsed_ms_total": 1.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..764f689d1383fd6012f98ce1c444740f58dd1bba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:00.849268+00:00", + "ended_at": "2026-05-19T15:48:10.949438+00:00", + "elapsed_ms": 10100.14, + "prompt_metrics": { + "chars": 11069, + "bytes_utf8": 11069, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1091, + "bytes_utf8": 1091, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 672, + "bytes_utf8": 672, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15355, + "cached_input_tokens": 14720, + "output_tokens": 466, + "reasoning_output_tokens": 272 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..49dac17e848bae10c8dc4255b896d7701a8c17aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=dual_sim, measure_col=px_height.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "dual_sim", + "measure_col": "px_height", + "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": 947.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..31b8331bde913d922a1343238d3a75d0531bcadf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-3033-7120-8b9c-8fad83fc481c"} +{"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 \\\"dual_sim\\\", SUM(CAST(\\\"px_height\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m10\\\"\\n GROUP BY \\\"dual_sim\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"dual_sim\\\", 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=\\\"dual_sim\\\" and measure_col=\\\"px_height\\\". Cast \\\"px_height\\\" to REAL because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15355,"cached_input_tokens":14720,"output_tokens":466,"reasoning_output_tokens":272}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..296e71e487c2692d2f2e0c99d62c78ca56dd5293 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"dual_sim\", SUM(CAST(\"px_height\" AS REAL)) AS \"group_value\"\n FROM \"m10\"\n GROUP BY \"dual_sim\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"dual_sim\", 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=\"dual_sim\" and measure_col=\"px_height\". Cast \"px_height\" to REAL because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fc9e4f871c2e068d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6be835a02bd7a1511980ecb9d2cbf552ffaaabc1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_b", + "dataset_id": "m10", + "started_at": "2026-05-19T16:03:48.906464+00:00", + "ended_at": "2026-05-19T16:03:57.395947+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m10_fe2bceb8704aa1cf", + "problem_id": "v2p_m10_8be00dcb06e9362c", + "dataset_id": "m10", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=clock_speed.", + "bindings": { + "group_col": "clock_speed", + "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": 3064.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=121" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..055a5883b8ab06a2bf998baea0783ba2cbce4937 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:03:51.763257+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": 2854.26, "started_at": "2026-05-19T16:03:48.907712+00:00", "ended_at": "2026-05-19T16:03:51.762039+00:00", "prompt_metrics": {"chars": 10507, "bytes_utf8": 10507, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-a75b-7d93-9333-bda6a46fd9a0\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:03:57.395822+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": 4629.96, "started_at": "2026-05-19T16:03:52.764922+00:00", "ended_at": "2026-05-19T16:03:57.394930+00:00", "prompt_metrics": {"chars": 10507, "bytes_utf8": 10507, "lines": 346, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fa-b663-72c2-82c8-f8ad4e2e038c\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..41b045e381b8768b810749e5a41f72c643c00b3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:21.299766+00:00", + "ended_at": "2026-05-19T16:06:24.690361+00:00", + "elapsed_ms": 3390.57, + "returncode": 1, + "prompt_metrics": { + "chars": 10591, + "bytes_utf8": 10591, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3ed6c438f9f326d68f0a99e3571b60fa43fa2362 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:25.693145+00:00", + "ended_at": "2026-05-19T16:06:28.807764+00:00", + "elapsed_ms": 3114.57, + "returncode": 1, + "prompt_metrics": { + "chars": 10591, + "bytes_utf8": 10591, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3bcae80ef6156ff6f5c1acd6020c87e4d2f75d57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=touch_screen, measure_col=pc.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "touch_screen", + "measure_col": "pc", + "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": 13.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3bcae80ef6156ff6f5c1acd6020c87e4d2f75d57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=touch_screen, measure_col=pc.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "touch_screen", + "measure_col": "pc", + "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": 13.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d24da3395aadd8537b1853b448ac95bfc54c227 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-fad3-7ef1-be5e-3ae8ad8b9e63"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..080b7cbe56635092068aa32522ec23375dfdcf45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-fad3-7ef1-be5e-3ae8ad8b9e63"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..564f6c7881bc911f8ad164f9755c7ec0ab0e730f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-0ba5-7d43-84dd-871d39e054f1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd8402eeec4831a87a31af59aeae52e4862001c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-0ba5-7d43-84dd-871d39e054f1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fed3d423af793cde/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391