diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6df75073fc9ea6dce3af375d2838267e1852c8c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/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=children, measure_col=bmi. +Result preview: [{"children": "0", "group_value": 36325.41}, {"children": "1", "group_value": 20634.26}, {"children": "2", "group_value": 15393.76}, {"children": "3", "group_value": 9907.92}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..cbf208d5993af75a78b2c935533525083ec4f298 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m4_000ca3051527f46d +-- problem_id: v2p_m4_d5b26a255d89f278 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "children", SUM(CAST("bmi" AS REAL)) AS group_value + FROM "m4" + GROUP BY "children" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."children", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..51e7e189f3f9695a342577feac346f5b07a46905 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"children\", SUM(CAST(\"bmi\" AS REAL)) AS group_value\n FROM \"m4\"\n GROUP BY \"children\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"children\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"children\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"children\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"children\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\", \"columns\": [\"children\", \"group_value\"], \"rows\": [{\"children\": \"0\", \"group_value\": 36325.41}, {\"children\": \"1\", \"group_value\": 20634.26}, {\"children\": \"2\", \"group_value\": 15393.76}, {\"children\": \"3\", \"group_value\": 9907.92}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.44}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8abbaab9e4ec6a5ff5b7fd084a3b92babebb43a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:41:43.369064+00:00", + "ended_at": "2026-05-19T15:41:56.598424+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_000ca3051527f46d", + "problem_id": "v2p_m4_d5b26a255d89f278", + "dataset_id": "m4", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=children, measure_col=bmi.", + "bindings": { + "group_col": "children", + "measure_col": "bmi", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=73" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_000ca3051527f46d.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_000ca3051527f46d", + "api_calls": 0, + "input_tokens": 13808, + "cached_input_tokens": 12672, + "output_tokens": 499, + "total_tokens": 14307, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13222.37, + "sql_execution_elapsed_ms_total": 2.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9d1c1aaeaaf0bfc83f976f644ef33f72999e8876 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:56.594229+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13222.37, "started_at": "2026-05-19T15:41:43.370699+00:00", "ended_at": "2026-05-19T15:41:56.593108+00:00", "prompt_metrics": {"chars": 5850, "bytes_utf8": 5850, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 611, "bytes_utf8": 611, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13808, "cached_input_tokens": 12672, "output_tokens": 499, "reasoning_output_tokens": 336}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"children\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"children\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"children\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the planned Relative-to-Total Extreme Threshold template with group_col=\\\"children\\\" and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" from TEXT to REAL for SQLite numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7e47bc0a34cfd3dc850d2f1dc27c19ed12fc4251 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_000ca3051527f46d", + "api_calls": 0, + "input_tokens": 13808, + "cached_input_tokens": 12672, + "output_tokens": 499, + "total_tokens": 14307, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13222.37, + "sql_execution_elapsed_ms_total": 2.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_000ca3051527f46d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9313858991755696562c856b18e5798989eb91aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=sex, group_col_2=smoker. +Result preview: [{"sex": "male", "smoker": "yes", "row_count": 312}, {"sex": "female", "smoker": "yes", "row_count": 214}, {"sex": "female", "smoker": "no", "row_count": 86}, {"sex": "male", "smoker": "no", "row_count": 82}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..dac26731dec2f66ab188609f0583c4a738263a81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m4_0094e2309060cdf8 +-- problem_id: v2p_m4_81c28703029afd50 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "smoker", COUNT(*) AS "row_count" +FROM "m4" +WHERE CAST("charges" AS REAL) >= 16577.7795 +GROUP BY "sex", "smoker" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dbd468bcccf97ef56fbf98a3775835d9e1fe0813 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"sex\", \"smoker\", COUNT(*) AS \"row_count\"\nFROM \"m4\"\nWHERE CAST(\"charges\" AS REAL) >= 16577.7795\nGROUP BY \"sex\", \"smoker\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"sex\\\", \\\"smoker\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m4\\\"\\nWHERE CAST(\\\"charges\\\" AS REAL) >= 16577.7795\\nGROUP BY \\\"sex\\\", \\\"smoker\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"sex\", \"smoker\", \"row_count\"], \"rows\": [{\"sex\": \"male\", \"smoker\": \"yes\", \"row_count\": 312}, {\"sex\": \"female\", \"smoker\": \"yes\", \"row_count\": 214}, {\"sex\": \"female\", \"smoker\": \"no\", \"row_count\": 86}, {\"sex\": \"male\", \"smoker\": \"no\", \"row_count\": 82}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.6}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4c8e9eacb14817f5f8cae9b6c8430db948dac5ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:39:28.108969+00:00", + "ended_at": "2026-05-19T15:39:46.229462+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_0094e2309060cdf8", + "problem_id": "v2p_m4_81c28703029afd50", + "dataset_id": "m4", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=sex, group_col_2=smoker.", + "bindings": { + "group_col": "sex", + "group_col_2": "smoker", + "predicate_col": "charges", + "predicate_op": ">=", + "predicate_value": 16577.7795, + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=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_d/m4/sql/v2q_m4_0094e2309060cdf8.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_0094e2309060cdf8", + "api_calls": 0, + "input_tokens": 13767, + "cached_input_tokens": 12032, + "output_tokens": 479, + "total_tokens": 14246, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18114.93, + "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_d/m4/artifacts/v2q_m4_0094e2309060cdf8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3377827620eed371ac5891e269dd4257e4046d02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:46.226356+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18114.93, "started_at": "2026-05-19T15:39:28.110186+00:00", "ended_at": "2026-05-19T15:39:46.225149+00:00", "prompt_metrics": {"chars": 5606, "bytes_utf8": 5606, "lines": 184, "estimated_tokens": null}, "response_metrics": {"chars": 467, "bytes_utf8": 467, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13767, "cached_input_tokens": 12032, "output_tokens": 479, "reasoning_output_tokens": 348}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"sex\\\", \\\"smoker\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m4\\\"\\nWHERE CAST(\\\"charges\\\" AS REAL) >= 16577.7795\\nGROUP BY \\\"sex\\\", \\\"smoker\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with group_col=\\\"sex\\\", group_col_2=\\\"smoker\\\", and predicate on \\\"charges\\\". CAST(\\\"charges\\\" AS REAL) is used because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..efa44e41dd6bea883f1c7cc3dcb06f687eabdd75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0094e2309060cdf8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_0094e2309060cdf8", + "api_calls": 0, + "input_tokens": 13767, + "cached_input_tokens": 12032, + "output_tokens": 479, + "total_tokens": 14246, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18114.93, + "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_d/m4/artifacts/v2q_m4_0094e2309060cdf8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7ed0c629a225fb6260cda62121d27c819f3f28a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/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=sex, condition_col=charges. +Result preview: [{"sex": "male", "condition_ratio": 1.0}, {"sex": "female", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a990d38b3741f406992e8a9b5ed37d5b83ae94eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m4_00dbb372c27adbbd +-- problem_id: v2p_m4_97df06abb89e02a4 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "sex", + SUM(CASE WHEN CAST("charges" AS REAL) = 10096.97 THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN CAST("charges" AS REAL) = 10602.385 THEN 1 ELSE 0 END) AS denominator_count + FROM "m4" + GROUP BY "sex" +) +SELECT "sex", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a2256784bc0ef18a79dad4147cbdc8b160a60c8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/query_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 \"sex\",\n SUM(CASE WHEN CAST(\"charges\" AS REAL) = 10096.97 THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN CAST(\"charges\" AS REAL) = 10602.385 THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m4\"\n GROUP BY \"sex\"\n)\nSELECT \"sex\",\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 \\\"sex\\\",\\n SUM(CASE WHEN CAST(\\\"charges\\\" AS REAL) = 10096.97 THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN CAST(\\\"charges\\\" AS REAL) = 10602.385 THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"sex\\\"\\n)\\nSELECT \\\"sex\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"sex\", \"condition_ratio\"], \"rows\": [{\"sex\": \"male\", \"condition_ratio\": 1.0}, {\"sex\": \"female\", \"condition_ratio\": null}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.11}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..008c7c8a4ec64d6fba2bdf81ccf5ca78d420309e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:37:30.880341+00:00", + "ended_at": "2026-05-19T15:37:43.063171+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_00dbb372c27adbbd", + "problem_id": "v2p_m4_97df06abb89e02a4", + "dataset_id": "m4", + "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=sex, condition_col=charges.", + "bindings": { + "group_col": "sex", + "condition_col": "charges", + "condition_value": "10096.97", + "positive_value": "10096.97", + "negative_value": "10602.385", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "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_d/m4/sql/v2q_m4_00dbb372c27adbbd.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_00dbb372c27adbbd", + "api_calls": 0, + "input_tokens": 13887, + "cached_input_tokens": 12672, + "output_tokens": 619, + "total_tokens": 14506, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12172.08, + "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_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8c1cdb36c0dcce67661e047697c4a8871371e65e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:43.055285+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12172.08, "started_at": "2026-05-19T15:37:30.881619+00:00", "ended_at": "2026-05-19T15:37:43.053734+00:00", "prompt_metrics": {"chars": 6121, "bytes_utf8": 6121, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 756, "bytes_utf8": 756, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13887, "cached_input_tokens": 12672, "output_tokens": 619, "reasoning_output_tokens": 419}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"sex\\\",\\n SUM(CASE WHEN CAST(\\\"charges\\\" AS REAL) = 10096.97 THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN CAST(\\\"charges\\\" AS REAL) = 10602.385 THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"sex\\\"\\n)\\nSELECT \\\"sex\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Used the required grouped ratio template with group_col bound to \\\"sex\\\" and condition_col bound to \\\"charges\\\". Since \\\"charges\\\" is stored as TEXT in the schema snapshot, the query casts it to REAL before comparing to the provided bound values.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96226821e9c391ce753dd8e9c44858398731df3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_00dbb372c27adbbd", + "api_calls": 0, + "input_tokens": 13887, + "cached_input_tokens": 12672, + "output_tokens": 619, + "total_tokens": 14506, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12172.08, + "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_d/m4/artifacts/v2q_m4_00dbb372c27adbbd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7a521b01ed2818226d4433e718899bc61c91ed5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=children. +Result preview: [{"children": "5", "support": 42}, {"children": "4", "support": 52}, {"children": "3", "support": 324}, {"children": "2", "support": 496}, {"children": "1", "support": 672}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d8afe4cadb9599a912e5ff51b582def5ccf8edff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m4_01f603f86184ebe4 +-- problem_id: v2p_m4_9b6d0cb30745abad +-- realization_mode: agent +-- source_kind: agent +SELECT + "children", + COUNT(*) AS support +FROM "m4" +GROUP BY "children" +ORDER BY support ASC, "children" +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..06f9190dd81e9bd73678c67d87af16a25ef9cc92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/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 \"children\",\n COUNT(*) AS support\nFROM \"m4\"\nGROUP BY \"children\"\nORDER BY support ASC, \"children\"\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"children\\\",\\n COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY support ASC, \\\"children\\\"\\nLIMIT 16;\", \"columns\": [\"children\", \"support\"], \"rows\": [{\"children\": \"5\", \"support\": 42}, {\"children\": \"4\", \"support\": 52}, {\"children\": \"3\", \"support\": 324}, {\"children\": \"2\", \"support\": 496}, {\"children\": \"1\", \"support\": 672}, {\"children\": \"0\", \"support\": 1186}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.32}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6cc69912af9be81358a6c33bde25d9109c0db3e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:57:27.279730+00:00", + "ended_at": "2026-05-19T15:57:39.157188+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_01f603f86184ebe4", + "problem_id": "v2p_m4_9b6d0cb30745abad", + "dataset_id": "m4", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=children.", + "bindings": { + "group_col": "children", + "top_k": 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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=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_d/m4/sql/v2q_m4_01f603f86184ebe4.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_01f603f86184ebe4", + "api_calls": 0, + "input_tokens": 13681, + "cached_input_tokens": 12672, + "output_tokens": 229, + "total_tokens": 13910, + "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": 10870.5, + "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_d/m4/artifacts/v2q_m4_01f603f86184ebe4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f27f13620ddf630e0dfc0650b7b58ccf49ec8270 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:57:30.566906+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3285.15, "started_at": "2026-05-19T15:57:27.280583+00:00", "ended_at": "2026-05-19T15:57:30.565763+00:00", "prompt_metrics": {"chars": 5296, "bytes_utf8": 5296, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-d476-76e0-a4db-d5a8d821e650\"}\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": "2026-05-19T15:57:39.154500+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": 7585.35, "started_at": "2026-05-19T15:57:31.568360+00:00", "ended_at": "2026-05-19T15:57:39.153752+00:00", "prompt_metrics": {"chars": 5296, "bytes_utf8": 5296, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 306, "bytes_utf8": 306, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13681, "cached_input_tokens": 12672, "output_tokens": 229, "reasoning_output_tokens": 141}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"children\\\",\\n COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY support ASC, \\\"children\\\"\\nLIMIT 16;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"children\\\" and top_k set to 16.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..39860e377b93a85e3b30b7cf7866259c660d9d48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_01f603f86184ebe4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_01f603f86184ebe4", + "api_calls": 0, + "input_tokens": 13681, + "cached_input_tokens": 12672, + "output_tokens": 229, + "total_tokens": 13910, + "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": 10870.5, + "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_d/m4/artifacts/v2q_m4_01f603f86184ebe4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_021ef09f39511857/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_021ef09f39511857/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..db04f0035671c2dd0352ed75d0af6b3195bdb664 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_021ef09f39511857/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:57:12.412115+00:00", + "ended_at": "2026-05-19T15:57:19.696545+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_021ef09f39511857", + "problem_id": "v2p_m4_2b35e7cc37563578", + "dataset_id": "m4", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=sex.", + "bindings": { + "group_col": "sex", + "top_k": 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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=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", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_021ef09f39511857/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_021ef09f39511857/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..37e8d451e3f5367802136dae309e119fb6363a67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_021ef09f39511857/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:57:15.202273+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": 2788.5, "started_at": "2026-05-19T15:57:12.412876+00:00", "ended_at": "2026-05-19T15:57:15.201402+00:00", "prompt_metrics": {"chars": 5285, "bytes_utf8": 5285, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-9a55-7202-813e-178958d66ddc\"}\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": "2026-05-19T15:57:19.696459+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": 3492.12, "started_at": "2026-05-19T15:57:16.203587+00:00", "ended_at": "2026-05-19T15:57:19.695755+00:00", "prompt_metrics": {"chars": 5285, "bytes_utf8": 5285, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-a93a-74d1-8bf5-67576cbe1e39\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8edeadd45ee313772c3ab6dd5cffccfec32a514 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/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=smoker, measure_col=children. +Result preview: [{"smoker": "no", "group_value": 2424.0}, {"smoker": "yes", "group_value": 630.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5da83b99b513a7aa2fac4513e1d4e6daa5bc8b0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m4_03309d2c0c31ef62 +-- problem_id: v2p_m4_c2836abb4af685eb +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT "smoker", SUM(CAST("children" AS REAL)) AS "group_value" + FROM "m4" + GROUP BY "smoker" +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT g."smoker", g."group_value" +FROM "grouped" AS g +CROSS JOIN "total" AS t +WHERE g."group_value" > t."total_value" * 0.05 +ORDER BY g."group_value" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cb1d893b606f2c82b122d9294af8771f3d00e463 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"smoker\", SUM(CAST(\"children\" AS REAL)) AS \"group_value\"\n FROM \"m4\"\n GROUP BY \"smoker\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"smoker\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"smoker\\\", SUM(CAST(\\\"children\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m4\\\"\\n GROUP BY \\\"smoker\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"smoker\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"smoker\", \"group_value\"], \"rows\": [{\"smoker\": \"no\", \"group_value\": 2424.0}, {\"smoker\": \"yes\", \"group_value\": 630.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.05}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..85d99f4a2470282f9209b8fb5d3fdb7b196a199e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:42:23.517055+00:00", + "ended_at": "2026-05-19T15:42:39.381215+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_03309d2c0c31ef62", + "problem_id": "v2p_m4_c2836abb4af685eb", + "dataset_id": "m4", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=smoker, measure_col=children.", + "bindings": { + "group_col": "smoker", + "measure_col": "children", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=74" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_03309d2c0c31ef62.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_03309d2c0c31ef62", + "api_calls": 0, + "input_tokens": 13809, + "cached_input_tokens": 12672, + "output_tokens": 552, + "total_tokens": 14361, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15855.23, + "sql_execution_elapsed_ms_total": 3.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c4ff1e2b45a0bcb15397b517a4ff5530eb15ffa1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:39.375235+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15855.23, "started_at": "2026-05-19T15:42:23.518358+00:00", "ended_at": "2026-05-19T15:42:39.373628+00:00", "prompt_metrics": {"chars": 5856, "bytes_utf8": 5856, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 653, "bytes_utf8": 653, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13809, "cached_input_tokens": 12672, "output_tokens": 552, "reasoning_output_tokens": 363}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"smoker\\\", SUM(CAST(\\\"children\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m4\\\"\\n GROUP BY \\\"smoker\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"smoker\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the requested template with group_col=\\\"smoker\\\" and measure_col=\\\"children\\\". CAST(\\\"children\\\" AS REAL) is used because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0c699fd737e495864921a6f8a7d930bbdb5376ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_03309d2c0c31ef62", + "api_calls": 0, + "input_tokens": 13809, + "cached_input_tokens": 12672, + "output_tokens": 552, + "total_tokens": 14361, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15855.23, + "sql_execution_elapsed_ms_total": 3.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_03309d2c0c31ef62/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..109b870fedc58325c28298ddfbd75b6db3350074 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=region, condition_col=region. +Result preview: [{"region": "southeast", "condition_rate": 1.0}, {"region": "southwest", "condition_rate": 0.0}, {"region": "northwest", "condition_rate": 0.0}, {"region": "northeast", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..64dd931b94f409842175d08be13027dd5ae44317 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m4_070f61326664844d +-- problem_id: v2p_m4_305da64bec96af8b +-- realization_mode: agent +-- source_kind: agent +SELECT + "region", + AVG(CASE WHEN "region" = 'southeast' THEN 1 ELSE 0 END) AS condition_rate +FROM "m4" +GROUP BY "region" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a4080cea4e14e54e496e05de9d539f3395a717dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/query_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 \"region\",\n AVG(CASE WHEN \"region\" = 'southeast' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m4\"\nGROUP BY \"region\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"region\\\",\\n AVG(CASE WHEN \\\"region\\\" = 'southeast' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"region\", \"condition_rate\"], \"rows\": [{\"region\": \"southeast\", \"condition_rate\": 1.0}, {\"region\": \"southwest\", \"condition_rate\": 0.0}, {\"region\": \"northwest\", \"condition_rate\": 0.0}, {\"region\": \"northeast\", \"condition_rate\": 0.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.3}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b5d93e61546733674237d7e3c662334f8c0fabaa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:54:20.221027+00:00", + "ended_at": "2026-05-19T15:54:31.618934+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_070f61326664844d", + "problem_id": "v2p_m4_305da64bec96af8b", + "dataset_id": "m4", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=region, condition_col=region.", + "bindings": { + "group_col": "region", + "condition_col": "region", + "condition_value": "southeast", + "positive_value": "southeast", + "negative_value": "southwest", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=99" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_070f61326664844d.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_070f61326664844d", + "api_calls": 0, + "input_tokens": 13735, + "cached_input_tokens": 12672, + "output_tokens": 370, + "total_tokens": 14105, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11392.39, + "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_d/m4/artifacts/v2q_m4_070f61326664844d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d50a780eebca5eb50945e72cb5ca08af2d9feb99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:54:31.615902+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11392.39, "started_at": "2026-05-19T15:54:20.222746+00:00", "ended_at": "2026-05-19T15:54:31.615164+00:00", "prompt_metrics": {"chars": 5556, "bytes_utf8": 5556, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 516, "bytes_utf8": 516, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13735, "cached_input_tokens": 12672, "output_tokens": 370, "reasoning_output_tokens": 238}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT\\n \\\"region\\\",\\n AVG(CASE WHEN \\\"region\\\" = 'southeast' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col and condition_col both bound to \\\"region\\\" and condition_value set to 'southeast'. Because the grouping column matches the condition column, the resulting rate is 1 for the southeast group and 0 for all other regions.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f986d2a1d8b2dbf23e3352ea48e2dd2a3a9bd543 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_070f61326664844d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_070f61326664844d", + "api_calls": 0, + "input_tokens": 13735, + "cached_input_tokens": 12672, + "output_tokens": 370, + "total_tokens": 14105, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11392.39, + "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_d/m4/artifacts/v2q_m4_070f61326664844d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..775698166d3718320db5548278727562a8d653ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=sex, group_col_2=children. +Result preview: [{"sex": "female", "children": "0", "row_count": 146}, {"sex": "male", "children": "0", "row_count": 122}, {"sex": "male", "children": "1", "row_count": 84}, {"sex": "male", "children": "2", "row_count": 70}, {"sex": "female", "children": "1", "row_count": 66}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..adbc067dd09a500706f44608389b8334dfe7a4ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m4_0a083dc9d3769bf4 +-- problem_id: v2p_m4_595fe9fddf790104 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "children", COUNT(*) AS row_count +FROM "m4" +WHERE "region" = 'northwest' +GROUP BY "sex", "children" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8df7f55835335f09861fb7209d5f6dfbf1b7a770 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"sex\", \"children\", COUNT(*) AS row_count\nFROM \"m4\"\nWHERE \"region\" = 'northwest'\nGROUP BY \"sex\", \"children\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"sex\\\", \\\"children\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nWHERE \\\"region\\\" = 'northwest'\\nGROUP BY \\\"sex\\\", \\\"children\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"sex\", \"children\", \"row_count\"], \"rows\": [{\"sex\": \"female\", \"children\": \"0\", \"row_count\": 146}, {\"sex\": \"male\", \"children\": \"0\", \"row_count\": 122}, {\"sex\": \"male\", \"children\": \"1\", \"row_count\": 84}, {\"sex\": \"male\", \"children\": \"2\", \"row_count\": 70}, {\"sex\": \"female\", \"children\": \"1\", \"row_count\": 66}, {\"sex\": \"female\", \"children\": \"2\", \"row_count\": 64}, {\"sex\": \"female\", \"children\": \"3\", \"row_count\": 54}, {\"sex\": \"male\", \"children\": \"3\", \"row_count\": 42}, {\"sex\": \"male\", \"children\": \"4\", \"row_count\": 8}, {\"sex\": \"female\", \"children\": \"4\", \"row_count\": 4}, {\"sex\": \"female\", \"children\": \"5\", \"row_count\": 4}], \"row_count_returned\": 11, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.55}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0133c8ca0a8af72e54eec8fafa7e98d1a25b79b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:39:19.381999+00:00", + "ended_at": "2026-05-19T15:39:28.107957+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_0a083dc9d3769bf4", + "problem_id": "v2p_m4_595fe9fddf790104", + "dataset_id": "m4", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=sex, group_col_2=children.", + "bindings": { + "group_col": "sex", + "group_col_2": "children", + "predicate_col": "region", + "predicate_op": "=", + "predicate_value": "northwest", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=54" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_0a083dc9d3769bf4.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_0a083dc9d3769bf4", + "api_calls": 0, + "input_tokens": 13761, + "cached_input_tokens": 12672, + "output_tokens": 317, + "total_tokens": 14078, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8720.35, + "sql_execution_elapsed_ms_total": 1.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bd5184ac41445c68c7fea2a8c37893a88aca72a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:28.104450+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8720.35, "started_at": "2026-05-19T15:39:19.382932+00:00", "ended_at": "2026-05-19T15:39:28.103306+00:00", "prompt_metrics": {"chars": 5609, "bytes_utf8": 5609, "lines": 184, "estimated_tokens": null}, "response_metrics": {"chars": 370, "bytes_utf8": 370, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13761, "cached_input_tokens": 12672, "output_tokens": 317, "reasoning_output_tokens": 215}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"sex\\\", \\\"children\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nWHERE \\\"region\\\" = 'northwest'\\nGROUP BY \\\"sex\\\", \\\"children\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applies the specified filtered two-dimensional group count template with \\\"sex\\\" and \\\"children\\\", filtered to rows where \\\"region\\\" = 'northwest'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..149a4989ab00e71e2ee4bcd10621b4cf096017fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_0a083dc9d3769bf4", + "api_calls": 0, + "input_tokens": 13761, + "cached_input_tokens": 12672, + "output_tokens": 317, + "total_tokens": 14078, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8720.35, + "sql_execution_elapsed_ms_total": 1.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_0a083dc9d3769bf4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f626b3c592084d95afc3eea0b47e810259a81b4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:19.697811+00:00", + "ended_at": "2026-05-19T15:57:22.934139+00:00", + "elapsed_ms": 3236.3, + "returncode": 1, + "prompt_metrics": { + "chars": 5294, + "bytes_utf8": 5294, + "lines": 178, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..288daa820de38f5299f4d120a5277299700c6094 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:23.936646+00:00", + "ended_at": "2026-05-19T15:57:27.278569+00:00", + "elapsed_ms": 3341.88, + "returncode": 1, + "prompt_metrics": { + "chars": 5294, + "bytes_utf8": 5294, + "lines": 178, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fde7f6450e17311e6cffccb60d10469f48b35c34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=children.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "children", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fde7f6450e17311e6cffccb60d10469f48b35c34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=children.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "children", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3b3f6690fd94ab6f801c45c28d6f81df4e96ed5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-b6c3-74c2-8711-bed179233b2d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7d5b48e6c3e4668a8e37c96b00831cb3416d588a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-b6c3-74c2-8711-bed179233b2d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..80e337528f65b6119784f0f7d276d22ac7254952 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-c783-7eb2-98d5-c8a124f00308"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5b8ad936e7d997f1449963493dd071f06c23a0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-c783-7eb2-98d5-c8a124f00308"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1b0b303667d09b4b59c09525f39f7f5105f49034 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:57:19.696898+00:00", + "ended_at": "2026-05-19T15:57:27.279361+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_18c2f3443ede9a55", + "problem_id": "v2p_m4_54fff09e0057b5ca", + "dataset_id": "m4", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "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=children.", + "bindings": { + "group_col": "children", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "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_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..01ee92eea8c4f0dc7979801761d590923f60787e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_18c2f3443ede9a55/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:57:22.934825+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": 3236.3, "started_at": "2026-05-19T15:57:19.697811+00:00", "ended_at": "2026-05-19T15:57:22.934139+00:00", "prompt_metrics": {"chars": 5294, "bytes_utf8": 5294, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-b6c3-74c2-8711-bed179233b2d\"}\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": "2026-05-19T15:57:27.279276+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": 3341.88, "started_at": "2026-05-19T15:57:23.936646+00:00", "ended_at": "2026-05-19T15:57:27.278569+00:00", "prompt_metrics": {"chars": 5294, "bytes_utf8": 5294, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-c783-7eb2-98d5-c8a124f00308\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c199203dd57befcf3329277ccac42d67f23cfcb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6110, "bytes_utf8": 6110, "lines": 183, "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": 753, "bytes_utf8": 753, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13878, "cached_input_tokens": 12032, "output_tokens": 617, "reasoning_output_tokens": 428}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3fb35efa762ab111d7864890b31f94f70159f5b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_19b4cad6368ea6c2", + "api_calls": 0, + "input_tokens": 13878, + "cached_input_tokens": 12032, + "output_tokens": 617, + "total_tokens": 14495, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18234.15, + "sql_execution_elapsed_ms_total": 1.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6a5120fc3393e0294264e0304a4b9601c0c0b5f3 --- 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12032, + "output_tokens": 617, + "reasoning_output_tokens": 428 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d5f4fe814f6b1b8b01d0fd0e3bc79258b630096 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,183 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=children, condition_col=children.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "children", + "condition_col": "children", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e84412c267ed67660efb59d4d8f1912960262c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-d369-7be3-9608-b1d461ad48ea"} +{"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 \\\"children\\\",\\n SUM(CASE WHEN \\\"children\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"children\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"children\\\"\\n)\\nSELECT \\\"children\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the required template with group_col and condition_col both bound to \\\"children\\\". Because the grouping column and condition column are the same, each group only contributes to one side of the ratio, so most groups will yield NULL due to a zero denominator.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13878,"cached_input_tokens":12032,"output_tokens":617,"reasoning_output_tokens":428}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..65fefb415d4a86ebe85161554d4bd8e1cf896779 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"children\",\n SUM(CASE WHEN \"children\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"children\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m4\"\n GROUP BY \"children\"\n)\nSELECT \"children\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Applied the required template with group_col and condition_col both bound to \"children\". Because the grouping column and condition column are the same, each group only contributes to one side of the ratio, so most groups will yield NULL due to a zero denominator."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..092ca106bee219a33984f042a3c80d141e75d841 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/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=children, condition_col=children. +Result preview: [{"children": "1", "condition_ratio": 0.0}, {"children": "0", "condition_ratio": null}, {"children": "2", "condition_ratio": null}, {"children": "3", "condition_ratio": null}, {"children": "4", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..55f6fcd977baabbcddd15231a7d4ad8aa43d836f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m4_19b4cad6368ea6c2 +-- problem_id: v2p_m4_3cbc73d522167114 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "children", + SUM(CASE WHEN "children" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "children" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "m4" + GROUP BY "children" +) +SELECT "children", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..eb4c31a866293814bb88a109a843bb5be85ca11b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/query_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 \"children\",\n SUM(CASE WHEN \"children\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"children\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m4\"\n GROUP BY \"children\"\n)\nSELECT \"children\",\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 \\\"children\\\",\\n SUM(CASE WHEN \\\"children\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"children\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"children\\\"\\n)\\nSELECT \\\"children\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"children\", \"condition_ratio\"], \"rows\": [{\"children\": \"1\", \"condition_ratio\": 0.0}, {\"children\": \"0\", \"condition_ratio\": null}, {\"children\": \"2\", \"condition_ratio\": null}, {\"children\": \"3\", \"condition_ratio\": null}, {\"children\": \"4\", \"condition_ratio\": null}, {\"children\": \"5\", \"condition_ratio\": null}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.37}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..58860a32a0ea89628356bc38b4fa14709e3874ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:36:41.811241+00:00", + "ended_at": "2026-05-19T15:37:00.049603+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_19b4cad6368ea6c2", + "problem_id": "v2p_m4_3cbc73d522167114", + "dataset_id": "m4", + "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=children, condition_col=children.", + "bindings": { + "group_col": "children", + "condition_col": "children", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=37" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_19b4cad6368ea6c2.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_19b4cad6368ea6c2", + "api_calls": 0, + "input_tokens": 13878, + "cached_input_tokens": 12032, + "output_tokens": 617, + "total_tokens": 14495, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18234.15, + "sql_execution_elapsed_ms_total": 1.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c025af619fc9ef78eea1004a73b7adf756b7394a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:00.046888+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18234.15, "started_at": "2026-05-19T15:36:41.812005+00:00", "ended_at": "2026-05-19T15:37:00.046173+00:00", "prompt_metrics": {"chars": 6110, "bytes_utf8": 6110, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 753, "bytes_utf8": 753, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13878, "cached_input_tokens": 12032, "output_tokens": 617, "reasoning_output_tokens": 428}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"children\\\",\\n SUM(CASE WHEN \\\"children\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"children\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"children\\\"\\n)\\nSELECT \\\"children\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the required template with group_col and condition_col both bound to \\\"children\\\". Because the grouping column and condition column are the same, each group only contributes to one side of the ratio, so most groups will yield NULL due to a zero denominator.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b5bcbe8d1248ed37d6987002aee42775c7ac9c0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_19b4cad6368ea6c2", + "api_calls": 0, + "input_tokens": 13878, + "cached_input_tokens": 12032, + "output_tokens": 617, + "total_tokens": 14495, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18234.15, + "sql_execution_elapsed_ms_total": 1.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_19b4cad6368ea6c2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e339ea750d027981456462a9cf59f36d7453848 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age. +Result preview: [{"age": 64.0}, {"age": 64.0}, {"age": 64.0}, {"age": 64.0}, {"age": 64.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..cd6b5f4142a85ac5dbf2453d58403ebc2d16b4a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m4_1c2953c35217b257 +-- problem_id: v2p_m4_d1e4505b07f38c65 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("age" AS REAL) AS "age", + NTILE(10) OVER (ORDER BY CAST("age" AS REAL) DESC) AS tail_bucket + FROM "m4" +) +SELECT "age" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY "age" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..20fa64535193243df9cb5380ce74cbcab28f853d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"age\" AS REAL) AS \"age\",\n NTILE(10) OVER (ORDER BY CAST(\"age\" AS REAL) DESC) AS tail_bucket\n FROM \"m4\"\n)\nSELECT \"age\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY \"age\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"age\\\" AS REAL) AS \\\"age\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"age\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m4\\\"\\n)\\nSELECT \\\"age\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY \\\"age\\\" DESC;\", \"columns\": [\"age\"], \"rows\": [{\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 63.0}, {\"age\": 63.0}, {\"age\": 63.0}, {\"age\": 63.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.32}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3493e9fccdc48c4c2bafcc76c0a791939c5d6095 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:41:08.325119+00:00", + "ended_at": "2026-05-19T15:41:20.174281+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_1c2953c35217b257", + "problem_id": "v2p_m4_d1e4505b07f38c65", + "dataset_id": "m4", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age.", + "bindings": { + "measure_col": "age", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "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_d/m4/sql/v2q_m4_1c2953c35217b257.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_1c2953c35217b257", + "api_calls": 0, + "input_tokens": 13724, + "cached_input_tokens": 12032, + "output_tokens": 523, + "total_tokens": 14247, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11834.92, + "sql_execution_elapsed_ms_total": 9.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a0ccf44ee935076af3df7be0180c39f0135583c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:20.162249+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11834.92, "started_at": "2026-05-19T15:41:08.325830+00:00", "ended_at": "2026-05-19T15:41:20.160779+00:00", "prompt_metrics": {"chars": 5465, "bytes_utf8": 5465, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 499, "bytes_utf8": 499, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13724, "cached_input_tokens": 12032, "output_tokens": 523, "reasoning_output_tokens": 384}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"age\\\" AS REAL) AS \\\"age\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"age\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m4\\\"\\n)\\nSELECT \\\"age\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY \\\"age\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to age and num_tiles=10. Cast \\\"age\\\" from TEXT to REAL so SQLite ranks the oldest ages numerically rather than lexicographically.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3946429db8c0911aba01dba076fb32b9379e207d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_1c2953c35217b257", + "api_calls": 0, + "input_tokens": 13724, + "cached_input_tokens": 12032, + "output_tokens": 523, + "total_tokens": 14247, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11834.92, + "sql_execution_elapsed_ms_total": 9.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1c2953c35217b257/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1d318b1df0537907/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1d318b1df0537907/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..530acf316b66594d82f36345daa774c982cfe25f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1d318b1df0537907/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "male", "support": 1406, "support_share": 0.5072150072150072, "support_rank": 1}, {"value_label": "female", "support": 1366, "support_share": 0.49278499278499277, "support_rank": 2}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1d318b1df0537907/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1d318b1df0537907/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2afdc984316f30ff3b509b049bece16677bf105b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1d318b1df0537907/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m4_1d318b1df0537907 +-- problem_id: v2p_m4_dac09e28d79ea14f +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "sex" AS value_label, COUNT(*) AS support + FROM "m4" + GROUP BY "sex" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1d318b1df0537907/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1d318b1df0537907/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3ffb96279935de6e6cde37358b92df85e43c38ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1d318b1df0537907/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: m4\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m4_1d318b1df0537907\n-- problem_id: v2p_m4_dac09e28d79ea14f\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"sex\" AS value_label, COUNT(*) AS support\n FROM \"m4\"\n GROUP BY \"sex\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: m4\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m4_1d318b1df0537907\\n-- problem_id: v2p_m4_dac09e28d79ea14f\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"sex\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m4\\\"\\n GROUP BY \\\"sex\\\"\\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\": \"male\", \"support\": 1406, \"support_share\": 0.5072150072150072, \"support_rank\": 1}, {\"value_label\": \"female\", \"support\": 1366, \"support_share\": 0.49278499278499277, \"support_rank\": 2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.77}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1d318b1df0537907/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1d318b1df0537907/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3447bb00c32562403f873ffe16f06270e8ee9bc2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1d318b1df0537907/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:40.737943+00:00", + "ended_at": "2026-05-19T16:01:40.740779+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_1d318b1df0537907", + "problem_id": "v2p_m4_dac09e28d79ea14f", + "dataset_id": "m4", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "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=sex.", + "bindings": { + "group_col": "sex" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_1d318b1df0537907.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1d318b1df0537907/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1d318b1df0537907/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1d318b1df0537907/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1f730533602efff3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1f730533602efff3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4c9681b8049e3e69287cd4fbb8419c57b10e4f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1f730533602efff3/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": []} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1f730533602efff3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1f730533602efff3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f964e5a21f33e196b6ba7ed5987b726e1f0bb631 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1f730533602efff3/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m4_1f730533602efff3 +-- problem_id: v2p_m4_6ece87a8b17d0766 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "charges", + COUNT(*) AS support, + AVG("age") AS avg_response +FROM "m4" +GROUP BY "charges" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1f730533602efff3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1f730533602efff3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c79514bb197ed8c63897b594d8e0ebbd55d24f41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1f730533602efff3/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: m4\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m4_1f730533602efff3\n-- problem_id: v2p_m4_6ece87a8b17d0766\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"charges\",\n COUNT(*) AS support,\n AVG(\"age\") AS avg_response\nFROM \"m4\"\nGROUP BY \"charges\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: m4\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m4_1f730533602efff3\\n-- problem_id: v2p_m4_6ece87a8b17d0766\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"charges\\\",\\n COUNT(*) AS support,\\n AVG(\\\"age\\\") AS avg_response\\nFROM \\\"m4\\\"\\nGROUP BY \\\"charges\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"charges\", \"support\", \"avg_response\"], \"rows\": [], \"row_count_returned\": 0, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.68}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1f730533602efff3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1f730533602efff3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e26078758951de725f205d9c72789f0488e8aa0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1f730533602efff3/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:40.763904+00:00", + "ended_at": "2026-05-19T16:01:40.766132+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_1f730533602efff3", + "problem_id": "v2p_m4_6ece87a8b17d0766", + "dataset_id": "m4", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=age, key_col=charges.", + "bindings": { + "key_col": "charges", + "measure_col": "age", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=5", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_1f730533602efff3.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1f730533602efff3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1f730533602efff3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_1f730533602efff3/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..249a3db8e994e4a846e359002a472269bbdca30d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/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=sex, measure_col=bmi. +Result preview: [{"sex": "male", "avg_measure": 30.960633001422476}, {"sex": "female", "avg_measure": 30.434472913616396}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ccb3e71636f04811666d468f56435e1fed590b21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_m4_205d1e1eed534dc2 +-- problem_id: v2p_m4_a0f97272ff3243b9 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "sex", + AVG(CAST("bmi" AS REAL)) OVER (PARTITION BY "sex") AS avg_measure +FROM "m4" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..93b7a9c29787bed2bdf7b8ec99cef645d835df4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"sex\",\n AVG(CAST(\"bmi\" AS REAL)) OVER (PARTITION BY \"sex\") AS avg_measure\nFROM \"m4\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"sex\\\",\\n AVG(CAST(\\\"bmi\\\" AS REAL)) OVER (PARTITION BY \\\"sex\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"sex\", \"avg_measure\"], \"rows\": [{\"sex\": \"male\", \"avg_measure\": 30.960633001422476}, {\"sex\": \"female\", \"avg_measure\": 30.434472913616396}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 12.57}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c2a0ef65bbecf357421de6131bd396320970cc01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:00:40.298290+00:00", + "ended_at": "2026-05-19T16:00:48.755958+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_205d1e1eed534dc2", + "problem_id": "v2p_m4_a0f97272ff3243b9", + "dataset_id": "m4", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=sex, measure_col=bmi.", + "bindings": { + "group_col": "sex", + "measure_col": "bmi", + "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": 33.11, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT 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_d/m4/sql/v2q_m4_205d1e1eed534dc2.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_205d1e1eed534dc2", + "api_calls": 0, + "input_tokens": 13681, + "cached_input_tokens": 12032, + "output_tokens": 238, + "total_tokens": 13919, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8438.85, + "sql_execution_elapsed_ms_total": 12.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..95329f4cd17e3f710df9c9feb9d676eb63be23c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:00:48.740288+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8438.85, "started_at": "2026-05-19T16:00:40.299840+00:00", "ended_at": "2026-05-19T16:00:48.738730+00:00", "prompt_metrics": {"chars": 5370, "bytes_utf8": 5370, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 382, "bytes_utf8": 382, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13681, "cached_input_tokens": 12032, "output_tokens": 238, "reasoning_output_tokens": 135}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"sex\\\",\\n AVG(CAST(\\\"bmi\\\" AS REAL)) OVER (PARTITION BY \\\"sex\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Used the planned Window Partition Average template with group_col=\\\"sex\\\" and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" from TEXT to REAL so SQLite computes the average numerically.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0bef386af4d3979522f9ff6bd4378037c874c678 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_205d1e1eed534dc2", + "api_calls": 0, + "input_tokens": 13681, + "cached_input_tokens": 12032, + "output_tokens": 238, + "total_tokens": 13919, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8438.85, + "sql_execution_elapsed_ms_total": 12.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_205d1e1eed534dc2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..62f83f031ec8546c11f9e2f0189be29c97857f73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/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=smoker, measure_col=age. +Result preview: [{"smoker": "no", "bmi": 32.3, "total_measure": 1206.0, "share_within_group": 1.3906826568265682}, {"smoker": "yes", "bmi": 28.31, "total_measure": 290.0, "share_within_group": 1.3368983957219251}, {"smoker": "yes", "bmi": 38.06, "total_measure": 276.0, "share_within_group": 1.2723584731698323}, {"smoker": "yes", "bmi": 23.655, "total_measure": 270.0, "share_within_group": 1.2446985063617924}, {"smoker": "yes", "bmi": 36.96, "total_measure": 256.0, "share_within_group": 1.1801585838096995}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b48dd2247fdd9d1429482fe3030f4e4a1fa98dbf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m4_2364459d64059e66 +-- problem_id: v2p_m4_23d71220e42226c5 +-- realization_mode: agent +-- source_kind: agent +SELECT + "smoker", + CAST("bmi" AS REAL) AS "bmi", + SUM(CAST("age" AS REAL)) AS total_measure, + SUM(CAST("age" AS REAL)) * 100.0 / SUM(SUM(CAST("age" AS REAL))) OVER (PARTITION BY "smoker") AS share_within_group +FROM "m4" +GROUP BY "smoker", CAST("bmi" AS REAL) +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..04bbf21e429b6f4accb10752792ca10fa40614c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/query_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 \"smoker\",\n CAST(\"bmi\" AS REAL) AS \"bmi\",\n SUM(CAST(\"age\" AS REAL)) AS total_measure,\n SUM(CAST(\"age\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"age\" AS REAL))) OVER (PARTITION BY \"smoker\") AS share_within_group\nFROM \"m4\"\nGROUP BY \"smoker\", CAST(\"bmi\" AS REAL)\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"smoker\\\",\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"bmi\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"age\\\" AS REAL))) OVER (PARTITION BY \\\"smoker\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\", CAST(\\\"bmi\\\" AS REAL)\\nORDER BY share_within_group DESC;\", \"columns\": [\"smoker\", \"bmi\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"smoker\": \"no\", \"bmi\": 32.3, \"total_measure\": 1206.0, \"share_within_group\": 1.3906826568265682}, {\"smoker\": \"yes\", \"bmi\": 28.31, \"total_measure\": 290.0, \"share_within_group\": 1.3368983957219251}, {\"smoker\": \"yes\", \"bmi\": 38.06, \"total_measure\": 276.0, \"share_within_group\": 1.2723584731698323}, {\"smoker\": \"yes\", \"bmi\": 23.655, \"total_measure\": 270.0, \"share_within_group\": 1.2446985063617924}, {\"smoker\": \"yes\", \"bmi\": 36.96, \"total_measure\": 256.0, \"share_within_group\": 1.1801585838096995}, {\"smoker\": \"yes\", \"bmi\": 36.08, \"total_measure\": 242.0, \"share_within_group\": 1.1156186612576064}, {\"smoker\": \"yes\", \"bmi\": 33.63, \"total_measure\": 240.0, \"share_within_group\": 1.1063986723215933}, {\"smoker\": \"yes\", \"bmi\": 22.895, \"total_measure\": 238.0, \"share_within_group\": 1.09717868338558}, {\"smoker\": \"yes\", \"bmi\": 26.695, \"total_measure\": 236.0, \"share_within_group\": 1.0879586944495667}, {\"smoker\": \"yes\", \"bmi\": 42.13, \"total_measure\": 222.0, \"share_within_group\": 1.0234187718974737}, {\"smoker\": \"yes\", \"bmi\": 35.53, \"total_measure\": 218.0, \"share_within_group\": 1.004978794025447}, {\"smoker\": \"yes\", \"bmi\": 26.885, \"total_measure\": 214.0, \"share_within_group\": 0.9865388161534207}, {\"smoker\": \"yes\", \"bmi\": 31.35, \"total_measure\": 208.0, \"share_within_group\": 0.9588788493453808}, {\"smoker\": \"yes\", \"bmi\": 41.8, \"total_measure\": 208.0, \"share_within_group\": 0.9588788493453808}, {\"smoker\": \"yes\", \"bmi\": 24.42, \"total_measure\": 206.0, \"share_within_group\": 0.9496588604093675}, {\"smoker\": \"yes\", \"bmi\": 40.565, \"total_measure\": 204.0, \"share_within_group\": 0.9404388714733543}, {\"smoker\": \"yes\", \"bmi\": 35.3, \"total_measure\": 198.0, \"share_within_group\": 0.9127789046653144}, {\"smoker\": \"yes\", \"bmi\": 27.74, \"total_measure\": 196.0, \"share_within_group\": 0.9035589157293011}, {\"smoker\": \"yes\", \"bmi\": 22.99, \"total_measure\": 188.0, \"share_within_group\": 0.866678959985248}, {\"smoker\": \"yes\", \"bmi\": 34.96, \"total_measure\": 188.0, \"share_within_group\": 0.866678959985248}, {\"smoker\": \"yes\", \"bmi\": 36.3, \"total_measure\": 184.0, \"share_within_group\": 0.8482389821132215}, {\"smoker\": \"yes\", \"bmi\": 28.025, \"total_measure\": 182.0, \"share_within_group\": 0.8390189931772082}, {\"smoker\": \"yes\", \"bmi\": 30.495, \"total_measure\": 182.0, \"share_within_group\": 0.8390189931772082}, {\"smoker\": \"yes\", \"bmi\": 35.2, \"total_measure\": 182.0, \"share_within_group\": 0.8390189931772082}, {\"smoker\": \"yes\", \"bmi\": 29.81, \"total_measure\": 176.0, \"share_within_group\": 0.8113590263691683}, {\"smoker\": \"yes\", \"bmi\": 30.8, \"total_measure\": 176.0, \"share_within_group\": 0.8113590263691683}, {\"smoker\": \"yes\", \"bmi\": 34.105, \"total_measure\": 176.0, \"share_within_group\": 0.8113590263691683}, {\"smoker\": \"yes\", \"bmi\": 34.2, \"total_measure\": 174.0, \"share_within_group\": 0.8021390374331551}, {\"smoker\": \"yes\", \"bmi\": 25.3, \"total_measure\": 172.0, \"share_within_group\": 0.7929190484971418}, {\"smoker\": \"yes\", \"bmi\": 24.795, \"total_measure\": 168.0, \"share_within_group\": 0.7744790706251152}, {\"smoker\": \"yes\", \"bmi\": 29.83, \"total_measure\": 166.0, \"share_within_group\": 0.765259081689102}, {\"smoker\": \"no\", \"bmi\": 27.5, \"total_measure\": 656.0, \"share_within_group\": 0.7564575645756457}, {\"smoker\": \"yes\", \"bmi\": 29.07, \"total_measure\": 160.0, \"share_within_group\": 0.7375991148810621}, {\"smoker\": \"yes\", \"bmi\": 32.775, \"total_measure\": 160.0, \"share_within_group\": 0.7375991148810621}, {\"smoker\": \"yes\", \"bmi\": 30.78, \"total_measure\": 156.0, \"share_within_group\": 0.7191591370090356}, {\"smoker\": \"yes\", \"bmi\": 24.13, \"total_measure\": 154.0, \"share_within_group\": 0.7099391480730223}, {\"smoker\": \"yes\", \"bmi\": 36.955, \"total_measure\": 154.0, \"share_within_group\": 0.7099391480730223}, {\"smoker\": \"no\", \"bmi\": 25.46, \"total_measure\": 614.0, \"share_within_group\": 0.7080258302583026}, {\"smoker\": \"yes\", \"bmi\": 30.685, \"total_measure\": 150.0, \"share_within_group\": 0.6914991702009957}, {\"smoker\": \"yes\", \"bmi\": 38.39, \"total_measure\": 150.0, \"share_within_group\": 0.6914991702009957}, {\"smoker\": \"yes\", \"bmi\": 35.75, \"total_measure\": 148.0, \"share_within_group\": 0.6822791812649824}, {\"smoker\": \"no\", \"bmi\": 25.8, \"total_measure\": 582.0, \"share_within_group\": 0.6711254612546126}, {\"smoker\": \"yes\", \"bmi\": 28.12, \"total_measure\": 144.0, \"share_within_group\": 0.6638392033929559}, {\"smoker\": \"no\", \"bmi\": 24.32, \"total_measure\": 570.0, \"share_within_group\": 0.6572878228782287}, {\"smoker\": \"yes\", \"bmi\": 20.045, \"total_measure\": 140.0, \"share_within_group\": 0.6453992255209293}, {\"smoker\": \"yes\", \"bmi\": 27.36, \"total_measure\": 140.0, \"share_within_group\": 0.6453992255209293}, {\"smoker\": \"yes\", \"bmi\": 30.2, \"total_measure\": 138.0, \"share_within_group\": 0.6361792365849162}, {\"smoker\": \"no\", \"bmi\": 28.88, \"total_measure\": 546.0, \"share_within_group\": 0.6296125461254612}, {\"smoker\": \"no\", \"bmi\": 30.8, \"total_measure\": 538.0, \"share_within_group\": 0.6203874538745388}, {\"smoker\": \"yes\", \"bmi\": 33.11, \"total_measure\": 134.0, \"share_within_group\": 0.6177392587128896}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.35}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..279fb98a6c5a560908dcac6d5b0d4473ee9ebb60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:34:59.986176+00:00", + "ended_at": "2026-05-19T15:35:15.299817+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_2364459d64059e66", + "problem_id": "v2p_m4_23d71220e42226c5", + "dataset_id": "m4", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=smoker, measure_col=age.", + "bindings": { + "group_col": "smoker", + "measure_col": "age", + "item_col": "bmi", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=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_d/m4/sql/v2q_m4_2364459d64059e66.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_2364459d64059e66", + "api_calls": 0, + "input_tokens": 13790, + "cached_input_tokens": 12032, + "output_tokens": 604, + "total_tokens": 14394, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15299.19, + "sql_execution_elapsed_ms_total": 9.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b354f0392e4e7ba536e416dbd8ee1eb487ff1891 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:15.287563+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15299.19, "started_at": "2026-05-19T15:34:59.986942+00:00", "ended_at": "2026-05-19T15:35:15.286167+00:00", "prompt_metrics": {"chars": 5695, "bytes_utf8": 5695, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 657, "bytes_utf8": 657, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13790, "cached_input_tokens": 12032, "output_tokens": 604, "reasoning_output_tokens": 410}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"smoker\\\",\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"bmi\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"age\\\" AS REAL))) OVER (PARTITION BY \\\"smoker\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\", CAST(\\\"bmi\\\" AS REAL)\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"smoker\\\", item_col=\\\"bmi\\\", and measure_col=\\\"age\\\". Since the schema stores numeric fields as TEXT, the query casts \\\"age\\\" and \\\"bmi\\\" to REAL for SQLite-compatible aggregation and grouping.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5c3c04da027fce7aea69b31e5820a73bc8c67c96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_2364459d64059e66", + "api_calls": 0, + "input_tokens": 13790, + "cached_input_tokens": 12032, + "output_tokens": 604, + "total_tokens": 14394, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15299.19, + "sql_execution_elapsed_ms_total": 9.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2364459d64059e66/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..38c318876242675ce7f5d07e906d34a7398afb0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=children, measure_col=bmi. +Result preview: [{"children": "0", "total_measure": 36325.41}, {"children": "1", "total_measure": 20634.26}, {"children": "2", "total_measure": 15393.76}, {"children": "3", "total_measure": 9907.92}, {"children": "4", "total_measure": 1628.36}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b558ef24a2d6a35ca762dc69ab485e858372e64f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m4_267c6a327393f16a +-- problem_id: v2p_m4_53754ca3e96c112b +-- realization_mode: agent +-- source_kind: agent +SELECT "children", SUM(CAST("bmi" AS REAL)) AS total_measure +FROM "m4" +GROUP BY "children" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..783dc45f7b8be929adf79cf31d9c4c7db25eef2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"children\", SUM(CAST(\"bmi\" AS REAL)) AS total_measure\nFROM \"m4\"\nGROUP BY \"children\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"children\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"children\", \"total_measure\"], \"rows\": [{\"children\": \"0\", \"total_measure\": 36325.41}, {\"children\": \"1\", \"total_measure\": 20634.26}, {\"children\": \"2\", \"total_measure\": 15393.76}, {\"children\": \"3\", \"total_measure\": 9907.92}, {\"children\": \"4\", \"total_measure\": 1628.36}, {\"children\": \"5\", \"total_measure\": 1214.43}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.34}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6a5912521f5781a1419204dcc34cf21b508678e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:28:43.642085+00:00", + "ended_at": "2026-05-19T15:28:52.165960+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_267c6a327393f16a", + "problem_id": "v2p_m4_53754ca3e96c112b", + "dataset_id": "m4", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_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=children, measure_col=bmi.", + "bindings": { + "group_col": "children", + "measure_col": "bmi", + "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": 33.11, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=1" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_267c6a327393f16a.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_267c6a327393f16a", + "api_calls": 0, + "input_tokens": 13670, + "cached_input_tokens": 12032, + "output_tokens": 309, + "total_tokens": 13979, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8515.38, + "sql_execution_elapsed_ms_total": 3.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e0d4e7a9bdc06dc41155ff461d37a0df8b98c531 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:52.159858+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8515.38, "started_at": "2026-05-19T15:28:43.642855+00:00", "ended_at": "2026-05-19T15:28:52.158267+00:00", "prompt_metrics": {"chars": 5297, "bytes_utf8": 5297, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 377, "bytes_utf8": 377, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13670, "cached_input_tokens": 12032, "output_tokens": 309, "reasoning_output_tokens": 206}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"children\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned Grouped Numeric Sum template with group_col=\\\"children\\\" and measure_col=\\\"bmi\\\". CAST(\\\"bmi\\\" AS REAL) is applied because the schema stores numeric fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e842982a2b88a8bc35af4ef77fb6142559d342bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_267c6a327393f16a", + "api_calls": 0, + "input_tokens": 13670, + "cached_input_tokens": 12032, + "output_tokens": 309, + "total_tokens": 13979, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8515.38, + "sql_execution_elapsed_ms_total": 3.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_267c6a327393f16a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_27199dfc029f4a21/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_27199dfc029f4a21/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..414c732dd9b6ff217210fdad9847e69f026ea51e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_27199dfc029f4a21/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "southeast", "support": 766, "support_share": 0.2763347763347763, "support_rank": 1}, {"value_label": "southwest", "support": 684, "support_share": 0.24675324675324675, "support_rank": 2}, {"value_label": "northwest", "support": 664, "support_share": 0.23953823953823955, "support_rank": 3}, {"value_label": "northeast", "support": 658, "support_share": 0.23737373737373738, "support_rank": 4}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_27199dfc029f4a21/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_27199dfc029f4a21/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8094fc3e04d381c79db66c88a92ba36a7b431bcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_27199dfc029f4a21/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m4_27199dfc029f4a21 +-- problem_id: v2p_m4_a41bb0ced785db4a +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "region" AS value_label, COUNT(*) AS support + FROM "m4" + GROUP BY "region" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_27199dfc029f4a21/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_27199dfc029f4a21/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..992d9323e9fb766b5d47ffd0e36d720ee17344d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_27199dfc029f4a21/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: m4\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m4_27199dfc029f4a21\n-- problem_id: v2p_m4_a41bb0ced785db4a\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"region\" AS value_label, COUNT(*) AS support\n FROM \"m4\"\n GROUP BY \"region\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: m4\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m4_27199dfc029f4a21\\n-- problem_id: v2p_m4_a41bb0ced785db4a\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"region\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m4\\\"\\n GROUP BY \\\"region\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"southeast\", \"support\": 766, \"support_share\": 0.2763347763347763, \"support_rank\": 1}, {\"value_label\": \"southwest\", \"support\": 684, \"support_share\": 0.24675324675324675, \"support_rank\": 2}, {\"value_label\": \"northwest\", \"support\": 664, \"support_share\": 0.23953823953823955, \"support_rank\": 3}, {\"value_label\": \"northeast\", \"support\": 658, \"support_share\": 0.23737373737373738, \"support_rank\": 4}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.47}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_27199dfc029f4a21/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_27199dfc029f4a21/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f52b891c5f79a4eb8cbcd7e1ac5a3a38e35b5923 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_27199dfc029f4a21/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:40.748391+00:00", + "ended_at": "2026-05-19T16:01:40.750656+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_27199dfc029f4a21", + "problem_id": "v2p_m4_a41bb0ced785db4a", + "dataset_id": "m4", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "value_imbalance_profile", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template Cardinality Support Rank Profile to probe support_rank_profile_consistency with semantic role count_distribution. Focus on group_col=region.", + "bindings": { + "group_col": "region" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_27199dfc029f4a21.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_27199dfc029f4a21/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_27199dfc029f4a21/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_27199dfc029f4a21/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..073f8e7c965a522ac27a576bfca84645a895901c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/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=children, measure_col=children. +Result preview: [{"children": "5", "age": "39", "total_measure": 50.0, "share_within_group": 23.80952380952381}, {"children": "4", "age": "48", "total_measure": 24.0, "share_within_group": 11.538461538461538}, {"children": "5", "age": "20", "total_measure": 20.0, "share_within_group": 9.523809523809524}, {"children": "5", "age": "28", "total_measure": 20.0, "share_within_group": 9.523809523809524}, {"children": "5", "age": "33", "total_measure": 20.0, "share_within_group": 9.523809523809524}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..be8186331b91f5ab92891b4759c57a75fe1c1db5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m4_2893c1508c7e2375 +-- problem_id: v2p_m4_fd77de915bdfd09c +-- realization_mode: agent +-- source_kind: agent +SELECT + "children", + "age", + SUM(CAST("children" AS REAL)) AS total_measure, + SUM(CAST("children" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("children" AS REAL))) OVER (PARTITION BY "children"), 0) AS share_within_group +FROM "m4" +GROUP BY "children", "age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..84d9965fe64c042790bb3cd352dc848e42339ba1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/query_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 \"children\",\n \"age\",\n SUM(CAST(\"children\" AS REAL)) AS total_measure,\n SUM(CAST(\"children\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\"children\" AS REAL))) OVER (PARTITION BY \"children\"), 0) AS share_within_group\nFROM \"m4\"\nGROUP BY \"children\", \"age\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"children\\\",\\n \\\"age\\\",\\n SUM(CAST(\\\"children\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"children\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"children\\\" AS REAL))) OVER (PARTITION BY \\\"children\\\"), 0) AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"children\", \"age\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"children\": \"5\", \"age\": \"39\", \"total_measure\": 50.0, \"share_within_group\": 23.80952380952381}, {\"children\": \"4\", \"age\": \"48\", \"total_measure\": 24.0, \"share_within_group\": 11.538461538461538}, {\"children\": \"5\", \"age\": \"20\", \"total_measure\": 20.0, \"share_within_group\": 9.523809523809524}, {\"children\": \"5\", \"age\": \"28\", \"total_measure\": 20.0, \"share_within_group\": 9.523809523809524}, {\"children\": \"5\", \"age\": \"33\", \"total_measure\": 20.0, \"share_within_group\": 9.523809523809524}, {\"children\": \"5\", \"age\": \"46\", \"total_measure\": 20.0, \"share_within_group\": 9.523809523809524}, {\"children\": \"4\", \"age\": \"25\", \"total_measure\": 16.0, \"share_within_group\": 7.6923076923076925}, {\"children\": \"4\", \"age\": \"33\", \"total_measure\": 16.0, \"share_within_group\": 7.6923076923076925}, {\"children\": \"4\", \"age\": \"40\", \"total_measure\": 16.0, \"share_within_group\": 7.6923076923076925}, {\"children\": \"3\", \"age\": \"54\", \"total_measure\": 54.0, \"share_within_group\": 5.555555555555555}, {\"children\": \"1\", \"age\": \"47\", \"total_measure\": 36.0, \"share_within_group\": 5.357142857142857}, {\"children\": \"3\", \"age\": \"30\", \"total_measure\": 48.0, \"share_within_group\": 4.938271604938271}, {\"children\": \"5\", \"age\": \"19\", \"total_measure\": 10.0, \"share_within_group\": 4.761904761904762}, {\"children\": \"5\", \"age\": \"25\", \"total_measure\": 10.0, \"share_within_group\": 4.761904761904762}, {\"children\": \"5\", \"age\": \"31\", \"total_measure\": 10.0, \"share_within_group\": 4.761904761904762}, {\"children\": \"5\", \"age\": \"41\", \"total_measure\": 10.0, \"share_within_group\": 4.761904761904762}, {\"children\": \"5\", \"age\": \"43\", \"total_measure\": 10.0, \"share_within_group\": 4.761904761904762}, {\"children\": \"5\", \"age\": \"45\", \"total_measure\": 10.0, \"share_within_group\": 4.761904761904762}, {\"children\": \"5\", \"age\": \"49\", \"total_measure\": 10.0, \"share_within_group\": 4.761904761904762}, {\"children\": \"5\", \"age\": \"52\", \"total_measure\": 10.0, \"share_within_group\": 4.761904761904762}, {\"children\": \"2\", \"age\": \"44\", \"total_measure\": 44.0, \"share_within_group\": 4.435483870967742}, {\"children\": \"2\", \"age\": \"45\", \"total_measure\": 44.0, \"share_within_group\": 4.435483870967742}, {\"children\": \"1\", \"age\": \"19\", \"total_measure\": 26.0, \"share_within_group\": 3.869047619047619}, {\"children\": \"1\", \"age\": \"41\", \"total_measure\": 26.0, \"share_within_group\": 3.869047619047619}, {\"children\": \"4\", \"age\": \"18\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"21\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"24\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"26\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"29\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"32\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"35\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"36\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"37\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"39\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"47\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"49\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"50\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"51\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"56\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"57\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"4\", \"age\": \"61\", \"total_measure\": 8.0, \"share_within_group\": 3.8461538461538463}, {\"children\": \"3\", \"age\": \"22\", \"total_measure\": 36.0, \"share_within_group\": 3.7037037037037037}, {\"children\": \"3\", \"age\": \"46\", \"total_measure\": 36.0, \"share_within_group\": 3.7037037037037037}, {\"children\": \"3\", \"age\": \"52\", \"total_measure\": 36.0, \"share_within_group\": 3.7037037037037037}, {\"children\": \"3\", \"age\": \"53\", \"total_measure\": 36.0, \"share_within_group\": 3.7037037037037037}, {\"children\": \"3\", \"age\": \"59\", \"total_measure\": 36.0, \"share_within_group\": 3.7037037037037037}, {\"children\": \"2\", \"age\": \"29\", \"total_measure\": 36.0, \"share_within_group\": 3.629032258064516}, {\"children\": \"2\", \"age\": \"37\", \"total_measure\": 36.0, \"share_within_group\": 3.629032258064516}, {\"children\": \"2\", \"age\": \"43\", \"total_measure\": 36.0, \"share_within_group\": 3.629032258064516}, {\"children\": \"2\", \"age\": \"52\", \"total_measure\": 36.0, \"share_within_group\": 3.629032258064516}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 5.76}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5e5ed0f8e8a55c8778b7d6adb50b8c378a644367 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:34:24.327411+00:00", + "ended_at": "2026-05-19T15:34:41.400906+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_2893c1508c7e2375", + "problem_id": "v2p_m4_fd77de915bdfd09c", + "dataset_id": "m4", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=children, measure_col=children.", + "bindings": { + "group_col": "children", + "measure_col": "children", + "item_col": "age", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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=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_d/m4/sql/v2q_m4_2893c1508c7e2375.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_2893c1508c7e2375", + "api_calls": 0, + "input_tokens": 13786, + "cached_input_tokens": 12032, + "output_tokens": 841, + "total_tokens": 14627, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17061.29, + "sql_execution_elapsed_ms_total": 5.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9427412e8a70b2ed4dd59644235ea0d5241e5df0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:41.391843+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17061.29, "started_at": "2026-05-19T15:34:24.329127+00:00", "ended_at": "2026-05-19T15:34:41.390461+00:00", "prompt_metrics": {"chars": 5703, "bytes_utf8": 5703, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 610, "bytes_utf8": 610, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13786, "cached_input_tokens": 12032, "output_tokens": 841, "reasoning_output_tokens": 670}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"children\\\",\\n \\\"age\\\",\\n SUM(CAST(\\\"children\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"children\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"children\\\" AS REAL))) OVER (PARTITION BY \\\"children\\\"), 0) AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the provided template with group_col=\\\"children\\\", item_col=\\\"age\\\", and measure_col=\\\"children\\\". CAST is applied because the schema stores numeric fields as TEXT, and NULLIF avoids division-by-zero for children=0 groups.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..640bd169b8124f4a16295a65747f15a6bb4db789 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_2893c1508c7e2375", + "api_calls": 0, + "input_tokens": 13786, + "cached_input_tokens": 12032, + "output_tokens": 841, + "total_tokens": 14627, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17061.29, + "sql_execution_elapsed_ms_total": 5.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2893c1508c7e2375/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eb096f3fe1a98917e9bd1ce2f6a3546c265350c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:50.187491+00:00", + "ended_at": "2026-05-19T15:56:53.637294+00:00", + "elapsed_ms": 3449.78, + "returncode": 1, + "prompt_metrics": { + "chars": 5231, + "bytes_utf8": 5231, + "lines": 178, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c01fbc1b9ffb1bba35807eac12480dec027eaea6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:54.639507+00:00", + "ended_at": "2026-05-19T15:56:58.530279+00:00", + "elapsed_ms": 3890.72, + "returncode": 1, + "prompt_metrics": { + "chars": 5231, + "bytes_utf8": 5231, + "lines": 178, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d331b85e28dd5e516e5af1b4d2748493c304cc75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "age", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d331b85e28dd5e516e5af1b4d2748493c304cc75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "age", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c28d08edfdd61da4a409477e7537d52d2eaa579d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-43a3-7b70-bb89-ee8ae7875807"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3041ce58c774a4660fae3e60fbf2b4391b7b628 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-43a3-7b70-bb89-ee8ae7875807"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c679fb643a8e231cc1a7aaed237daa29f2c5d2fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-5504-7a02-8c13-f21418567fbc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5270086e8f442fcd7a7a3927f03d743ccb8b9257 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-5504-7a02-8c13-f21418567fbc"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a17c6d8ac0a2dbc5136eec3356574e464949cda6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:56:50.186284+00:00", + "ended_at": "2026-05-19T15:56:58.531141+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_29dd2441e1b07f11", + "problem_id": "v2p_m4_6e8d9506de86ff24", + "dataset_id": "m4", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age.", + "bindings": { + "measure_col": "age", + "top_k": 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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/1", + "binding_index=114" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3332df9ff9441f8254d24703469bdcee1a8d71c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_29dd2441e1b07f11/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:56:53.638039+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": 3449.78, "started_at": "2026-05-19T15:56:50.187491+00:00", "ended_at": "2026-05-19T15:56:53.637294+00:00", "prompt_metrics": {"chars": 5231, "bytes_utf8": 5231, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-43a3-7b70-bb89-ee8ae7875807\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:56:58.531048+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": 3890.72, "started_at": "2026-05-19T15:56:54.639507+00:00", "ended_at": "2026-05-19T15:56:58.530279+00:00", "prompt_metrics": {"chars": 5231, "bytes_utf8": 5231, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-5504-7a02-8c13-f21418567fbc\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..48f8b64353d0647a91c2445cb75bdf612444764a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=sex, measure_col=bmi. +Result preview: [{"sex": "female", "charges": "8569.8618", "total_measure": 181.28, "share_within_group": 0.43604710598027735}, {"sex": "male", "charges": "2927.0647", "total_measure": 186.12, "share_within_group": 0.427560810601266}, {"sex": "female", "charges": "3238.4357", "total_measure": 168.52, "share_within_group": 0.40535446987972384}, {"sex": "male", "charges": "39611.7577", "total_measure": 168.52, "share_within_group": 0.38712952827490515}, {"sex": "male", "charges": "47269.854", "total_measure": 167.2, "share_within_group": 0.3840971821004281}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..841ce4eda6c08dde0218ced0187965e7ffe090e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m4_2a3d2b83ed92691f +-- problem_id: v2p_m4_6c37a3be89989bab +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "charges", + SUM(CAST("bmi" AS REAL)) AS total_measure, + SUM(CAST("bmi" AS REAL)) * 100.0 / SUM(SUM(CAST("bmi" AS REAL))) OVER (PARTITION BY "sex") AS share_within_group +FROM "m4" +GROUP BY "sex", "charges" +ORDER BY share_within_group DESC +LIMIT 18; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3a2b8e3948cc6f04b55993084b77c54bd0a80b74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"sex\", \"charges\",\n SUM(CAST(\"bmi\" AS REAL)) AS total_measure,\n SUM(CAST(\"bmi\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"bmi\" AS REAL))) OVER (PARTITION BY \"sex\") AS share_within_group\nFROM \"m4\"\nGROUP BY \"sex\", \"charges\"\nORDER BY share_within_group DESC\nLIMIT 18;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"sex\\\", \\\"charges\\\",\\n SUM(CAST(\\\"bmi\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"bmi\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"bmi\\\" AS REAL))) OVER (PARTITION BY \\\"sex\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\", \\\"charges\\\"\\nORDER BY share_within_group DESC\\nLIMIT 18;\", \"columns\": [\"sex\", \"charges\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"sex\": \"female\", \"charges\": \"8569.8618\", \"total_measure\": 181.28, \"share_within_group\": 0.43604710598027735}, {\"sex\": \"male\", \"charges\": \"2927.0647\", \"total_measure\": 186.12, \"share_within_group\": 0.427560810601266}, {\"sex\": \"female\", \"charges\": \"3238.4357\", \"total_measure\": 168.52, \"share_within_group\": 0.40535446987972384}, {\"sex\": \"male\", \"charges\": \"39611.7577\", \"total_measure\": 168.52, \"share_within_group\": 0.38712952827490515}, {\"sex\": \"male\", \"charges\": \"47269.854\", \"total_measure\": 167.2, \"share_within_group\": 0.3840971821004281}, {\"sex\": \"female\", \"charges\": \"11090.7178\", \"total_measure\": 159.28, \"share_within_group\": 0.38312876787587474}, {\"sex\": \"female\", \"charges\": \"1633.9618\", \"total_measure\": 159.28, \"share_within_group\": 0.38312876787587474}, {\"sex\": \"female\", \"charges\": \"13470.8044\", \"total_measure\": 156.64, \"share_within_group\": 0.3767785673033464}, {\"sex\": \"male\", \"charges\": \"10602.385\", \"total_measure\": 161.2, \"share_within_group\": 0.37031379039825957}, {\"sex\": \"female\", \"charges\": \"12495.29085\", \"total_measure\": 143.26, \"share_within_group\": 0.34459459621985067}, {\"sex\": \"male\", \"charges\": \"4673.3922\", \"total_measure\": 148.72, \"share_within_group\": 0.3416443356577492}, {\"sex\": \"male\", \"charges\": \"8798.593\", \"total_measure\": 148.0, \"share_within_group\": 0.339990328653489}, {\"sex\": \"female\", \"charges\": \"7348.142\", \"total_measure\": 141.2, \"share_within_group\": 0.33963951547007476}, {\"sex\": \"male\", \"charges\": \"49577.6624\", \"total_measure\": 147.84, \"share_within_group\": 0.33962277154143117}, {\"sex\": \"female\", \"charges\": \"2020.177\", \"total_measure\": 138.4, \"share_within_group\": 0.3329044542567872}, {\"sex\": \"male\", \"charges\": \"42211.1382\", \"total_measure\": 144.32, \"share_within_group\": 0.33153651507615894}, {\"sex\": \"female\", \"charges\": \"3987.926\", \"total_measure\": 136.8, \"share_within_group\": 0.32905584784919434}, {\"sex\": \"male\", \"charges\": \"36837.467\", \"total_measure\": 141.2, \"share_within_group\": 0.32436915139103134}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 13.4}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a51259304d37f541d4b437a5ea87d3836bb3c1d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:34:00.381125+00:00", + "ended_at": "2026-05-19T15:34:24.326116+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_2a3d2b83ed92691f", + "problem_id": "v2p_m4_6c37a3be89989bab", + "dataset_id": "m4", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=sex, measure_col=bmi.", + "bindings": { + "group_col": "sex", + "measure_col": "bmi", + "item_col": "charges", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 33.11, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "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=2/2", + "binding_index=28" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2a3d2b83ed92691f.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_2a3d2b83ed92691f", + "api_calls": 0, + "input_tokens": 13787, + "cached_input_tokens": 12032, + "output_tokens": 1209, + "total_tokens": 14996, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23926.04, + "sql_execution_elapsed_ms_total": 13.4, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..be37874d7b0c511e6a114b361751547076c09f38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:24.309494+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 23926.04, "started_at": "2026-05-19T15:34:00.381840+00:00", "ended_at": "2026-05-19T15:34:24.307906+00:00", "prompt_metrics": {"chars": 5691, "bytes_utf8": 5691, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 602, "bytes_utf8": 602, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13787, "cached_input_tokens": 12032, "output_tokens": 1209, "reasoning_output_tokens": 1034}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"sex\\\", \\\"charges\\\",\\n SUM(CAST(\\\"bmi\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"bmi\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"bmi\\\" AS REAL))) OVER (PARTITION BY \\\"sex\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\", \\\"charges\\\"\\nORDER BY share_within_group DESC\\nLIMIT 18;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"sex\\\", item_col=\\\"charges\\\", and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" to REAL because the schema stores numeric fields as TEXT. Added LIMIT 18 from the provided top_k binding.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7db04102db70082200e73559dee78a79535008cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_2a3d2b83ed92691f", + "api_calls": 0, + "input_tokens": 13787, + "cached_input_tokens": 12032, + "output_tokens": 1209, + "total_tokens": 14996, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23926.04, + "sql_execution_elapsed_ms_total": 13.4, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2a3d2b83ed92691f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..42d2e9920fcba9e0131ddc4970436d67938b03e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=children, condition_col=children. +Result preview: [{"children": "0", "condition_rate": 1.0}, {"children": "5", "condition_rate": 0.0}, {"children": "4", "condition_rate": 0.0}, {"children": "3", "condition_rate": 0.0}, {"children": "2", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5c0573d6fad75cd6295ccb3197b60c93abd21764 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m4_2b502b48e8d5e802 +-- problem_id: v2p_m4_80c5fb731eebfc6d +-- realization_mode: agent +-- source_kind: agent +SELECT "children", + AVG(CASE WHEN "children" = '0' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m4" +GROUP BY "children" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c678871a7235c7083c75dba5fbac0962cab033f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_condition_rate.\nSELECT \"children\",\n AVG(CASE WHEN \"children\" = '0' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m4\"\nGROUP BY \"children\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate.\\nSELECT \\\"children\\\",\\n AVG(CASE WHEN \\\"children\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"children\", \"condition_rate\"], \"rows\": [{\"children\": \"0\", \"condition_rate\": 1.0}, {\"children\": \"5\", \"condition_rate\": 0.0}, {\"children\": \"4\", \"condition_rate\": 0.0}, {\"children\": \"3\", \"condition_rate\": 0.0}, {\"children\": \"2\", \"condition_rate\": 0.0}, {\"children\": \"1\", \"condition_rate\": 0.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.59}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f566066a44bcfb2e4d08e4321e949ddbac3f9adb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:53:32.565532+00:00", + "ended_at": "2026-05-19T15:53:47.111193+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_2b502b48e8d5e802", + "problem_id": "v2p_m4_80c5fb731eebfc6d", + "dataset_id": "m4", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=children, condition_col=children.", + "bindings": { + "group_col": "children", + "condition_col": "children", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=97" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_2b502b48e8d5e802.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_2b502b48e8d5e802", + "api_calls": 0, + "input_tokens": 13730, + "cached_input_tokens": 12672, + "output_tokens": 426, + "total_tokens": 14156, + "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": 13536.77, + "sql_execution_elapsed_ms_total": 1.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..01aa0ef24f801a0bc7b8cda0588ff709d94da81a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:53:35.897518+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": 3329.6, "started_at": "2026-05-19T15:53:32.566670+00:00", "ended_at": "2026-05-19T15:53:35.896304+00:00", "prompt_metrics": {"chars": 5541, "bytes_utf8": 5541, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f1-3fb4-7ee3-8b14-c684654e15ae\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:53:47.107517+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": 10207.17, "started_at": "2026-05-19T15:53:36.898964+00:00", "ended_at": "2026-05-19T15:53:47.106250+00:00", "prompt_metrics": {"chars": 5541, "bytes_utf8": 5541, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 510, "bytes_utf8": 510, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13730, "cached_input_tokens": 12672, "output_tokens": 426, "reasoning_output_tokens": 294}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate.\\nSELECT \\\"children\\\",\\n AVG(CASE WHEN \\\"children\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col and condition_col both bound to \\\"children\\\" and condition_value fixed to '0'. Because the grouping column matches the condition column, the resulting rate is 1 for group '0' and 0 for all other groups.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e0c1d517732fd8ab4a067a6405fccd3b8e7457d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_2b502b48e8d5e802", + "api_calls": 0, + "input_tokens": 13730, + "cached_input_tokens": 12672, + "output_tokens": 426, + "total_tokens": 14156, + "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": 13536.77, + "sql_execution_elapsed_ms_total": 1.59, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b502b48e8d5e802/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b6fe1b4cccc5837/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b6fe1b4cccc5837/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..46d2501fecf962f98ca7e565848b7cffb967b8f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b6fe1b4cccc5837/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "no", "support": 2208, "support_share": 0.7965367965367965, "cumulative_support": 2208}, {"value_label": "yes", "support": 564, "support_share": 0.20346320346320346, "cumulative_support": 2772}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b6fe1b4cccc5837/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b6fe1b4cccc5837/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6d530fbefc350744efea3f4f3beae569b7858bc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b6fe1b4cccc5837/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m4_2b6fe1b4cccc5837 +-- problem_id: v2p_m4_1b8cf5fe2901c4e2 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "smoker" AS value_label, COUNT(*) AS support + FROM "m4" + GROUP BY "smoker" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b6fe1b4cccc5837/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b6fe1b4cccc5837/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4bd8b4947fc5b74bd3bc42a60fbfd9d72330a44b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b6fe1b4cccc5837/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: m4\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m4_2b6fe1b4cccc5837\n-- problem_id: v2p_m4_1b8cf5fe2901c4e2\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"smoker\" AS value_label, COUNT(*) AS support\n FROM \"m4\"\n GROUP BY \"smoker\"\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_d\\n-- sql_source_dataset_id: m4\\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_m4_2b6fe1b4cccc5837\\n-- problem_id: v2p_m4_1b8cf5fe2901c4e2\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"smoker\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m4\\\"\\n GROUP BY \\\"smoker\\\"\\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\": \"no\", \"support\": 2208, \"support_share\": 0.7965367965367965, \"cumulative_support\": 2208}, {\"value_label\": \"yes\", \"support\": 564, \"support_share\": 0.20346320346320346, \"cumulative_support\": 2772}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.86}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b6fe1b4cccc5837/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b6fe1b4cccc5837/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..74ddb180723459c46332b4ce0ade81dfe87dc0e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b6fe1b4cccc5837/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:40.730017+00:00", + "ended_at": "2026-05-19T16:01:40.732955+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_2b6fe1b4cccc5837", + "problem_id": "v2p_m4_1b8cf5fe2901c4e2", + "dataset_id": "m4", + "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=smoker.", + "bindings": { + "group_col": "smoker" + }, + "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_d/m4/sql/v2q_m4_2b6fe1b4cccc5837.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b6fe1b4cccc5837/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b6fe1b4cccc5837/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2b6fe1b4cccc5837/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e23f9c9a0ef152ed2d93c42754b15d52be044fbc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=children, measure_col=children. +Result preview: [{"children": "2", "total_measure": 992.0}, {"children": "3", "total_measure": 972.0}, {"children": "1", "total_measure": 672.0}, {"children": "5", "total_measure": 210.0}, {"children": "4", "total_measure": 208.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e41f082099a7d8d6805fa071a413b302ae4d8cf3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m4_2ba36a5febbfa62c +-- problem_id: v2p_m4_b782fc65f7f630d7 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", SUM(CAST("children" AS REAL)) AS total_measure +FROM "m4" +GROUP BY "children" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..12dbd7b318fb9445e0818af76442eec34a80a9a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"children\", SUM(CAST(\"children\" AS REAL)) AS total_measure\nFROM \"m4\"\nGROUP BY \"children\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"children\\\", SUM(CAST(\\\"children\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"children\", \"total_measure\"], \"rows\": [{\"children\": \"2\", \"total_measure\": 992.0}, {\"children\": \"3\", \"total_measure\": 972.0}, {\"children\": \"1\", \"total_measure\": 672.0}, {\"children\": \"5\", \"total_measure\": 210.0}, {\"children\": \"4\", \"total_measure\": 208.0}, {\"children\": \"0\", \"total_measure\": 0.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.82}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c168e2c0fddf1180149ac78ea53ef8283cbfc077 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:30:07.205749+00:00", + "ended_at": "2026-05-19T15:30:15.836377+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_2ba36a5febbfa62c", + "problem_id": "v2p_m4_b782fc65f7f630d7", + "dataset_id": "m4", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_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=children, measure_col=children.", + "bindings": { + "group_col": "children", + "measure_col": "children", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, 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_d/m4/sql/v2q_m4_2ba36a5febbfa62c.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_2ba36a5febbfa62c", + "api_calls": 0, + "input_tokens": 13669, + "cached_input_tokens": 12032, + "output_tokens": 249, + "total_tokens": 13918, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8621.98, + "sql_execution_elapsed_ms_total": 2.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e9770cf75da6cd356fcba706e3c7f75570f5a201 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:15.830925+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8621.98, "started_at": "2026-05-19T15:30:07.207380+00:00", "ended_at": "2026-05-19T15:30:15.829403+00:00", "prompt_metrics": {"chars": 5305, "bytes_utf8": 5305, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 365, "bytes_utf8": 365, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13669, "cached_input_tokens": 12032, "output_tokens": 249, "reasoning_output_tokens": 155}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"children\\\", SUM(CAST(\\\"children\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the provided grouped numeric sum template with group_col=\\\"children\\\" and measure_col=\\\"children\\\". Casted \\\"children\\\" to REAL because the schema stores values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..053ca985f58aa027339e15c3dd0e3d7e551379de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_2ba36a5febbfa62c", + "api_calls": 0, + "input_tokens": 13669, + "cached_input_tokens": 12032, + "output_tokens": 249, + "total_tokens": 13918, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8621.98, + "sql_execution_elapsed_ms_total": 2.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2ba36a5febbfa62c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1413097a7e90512533eba594ae66133a7f4987d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5371, "bytes_utf8": 5371, "lines": 180, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 375, "bytes_utf8": 375, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13679, "cached_input_tokens": 12032, "output_tokens": 273, "reasoning_output_tokens": 173}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..43f5b8f9259b771a50fc12600cb184a86576d1c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_2bcab51108420bd2", + "api_calls": 0, + "input_tokens": 13679, + "cached_input_tokens": 12032, + "output_tokens": 273, + "total_tokens": 13952, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8717.08, + "sql_execution_elapsed_ms_total": 7.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2fe957245faf858855cf83bad0c5d193f1ec7394 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:12.683485+00:00", + "ended_at": "2026-05-19T16:00:21.400607+00:00", + "elapsed_ms": 8717.08, + "prompt_metrics": { + "chars": 5371, + "bytes_utf8": 5371, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 734, + "bytes_utf8": 734, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 375, + "bytes_utf8": 375, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13679, + "cached_input_tokens": 12032, + "output_tokens": 273, + "reasoning_output_tokens": 173 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6dbf61d67729293f7209860b3233aa90b4e49439 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=region, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "region", + "measure_col": "age", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c845fff87c6948fed04e07d8a017aeabcf70bfa3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-5aa9-7503-a755-9549ffc289f1"} +{"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 \\\"region\\\",\\n AVG(CAST(\\\"age\\\" AS REAL)) OVER (PARTITION BY \\\"region\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"region\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" from TEXT to REAL for a SQLite-safe numeric average.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13679,"cached_input_tokens":12032,"output_tokens":273,"reasoning_output_tokens":173}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..558cc627ed9821859205713479b0bed1585685fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n \"region\",\n AVG(CAST(\"age\" AS REAL)) OVER (PARTITION BY \"region\") AS avg_measure\nFROM \"m4\"\nORDER BY avg_measure DESC;","notes":"Applied the Window Partition Average template with group_col=\"region\" and measure_col=\"age\". Cast \"age\" from TEXT to REAL for a SQLite-safe numeric average."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_2bcab51108420bd2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f44e4adc4d5c77eff4ca4322c72e524748f6d33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/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=smoker, measure_col=age. +Result preview: [{"smoker": "no", "group_value": 86720.0}, {"smoker": "yes", "group_value": 21692.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5d2865120adbb19a1d60fd9cfddf4f2b4035913a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/generated_sql.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m4_308d83232796899f +-- problem_id: v2p_m4_a86209cab9dd6d28 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "smoker", SUM(CAST("age" AS REAL)) AS group_value + FROM "m4" + WHERE "smoker" IS NOT NULL AND "age" IS NOT NULL + GROUP BY "smoker" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."smoker", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..94ef0438f5f95b1557215e037c8449e18dc48441 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"smoker\", SUM(CAST(\"age\" AS REAL)) AS group_value\n FROM \"m4\"\n WHERE \"smoker\" IS NOT NULL AND \"age\" IS NOT NULL\n GROUP BY \"smoker\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"smoker\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"smoker\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n WHERE \\\"smoker\\\" IS NOT NULL AND \\\"age\\\" IS NOT NULL\\n GROUP BY \\\"smoker\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"smoker\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\", \"columns\": [\"smoker\", \"group_value\"], \"rows\": [{\"smoker\": \"no\", \"group_value\": 86720.0}, {\"smoker\": \"yes\", \"group_value\": 21692.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.1}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d8c70b51e1bd4eb235f1333e62a242f7647954b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:44:18.248914+00:00", + "ended_at": "2026-05-19T15:44:32.102064+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_308d83232796899f", + "problem_id": "v2p_m4_a86209cab9dd6d28", + "dataset_id": "m4", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=smoker, measure_col=age.", + "bindings": { + "group_col": "smoker", + "measure_col": "age", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "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=2/2", + "binding_index=78" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_308d83232796899f.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_308d83232796899f", + "api_calls": 0, + "input_tokens": 13809, + "cached_input_tokens": 12032, + "output_tokens": 705, + "total_tokens": 14514, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13844.66, + "sql_execution_elapsed_ms_total": 3.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ed7bf9a38dbb5d5407f356b8490293f98b7a06f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:32.096013+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13844.66, "started_at": "2026-05-19T15:44:18.249714+00:00", "ended_at": "2026-05-19T15:44:32.094405+00:00", "prompt_metrics": {"chars": 5847, "bytes_utf8": 5847, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 704, "bytes_utf8": 704, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13809, "cached_input_tokens": 12032, "output_tokens": 705, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"smoker\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n WHERE \\\"smoker\\\" IS NOT NULL AND \\\"age\\\" IS NOT NULL\\n GROUP BY \\\"smoker\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"smoker\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"smoker\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" from TEXT to REAL for numeric aggregation and filtered NULLs for a stable grouped view.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..583e1d1e986fad5605bb34cb0acb3bfc555b96b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_308d83232796899f", + "api_calls": 0, + "input_tokens": 13809, + "cached_input_tokens": 12032, + "output_tokens": 705, + "total_tokens": 14514, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13844.66, + "sql_execution_elapsed_ms_total": 3.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_308d83232796899f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fbc3c88b485913bd03f1bb83604d187cfbadf112 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/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=children, measure_col=bmi. +Result preview: [{"children": "2", "percentile_measure": 42.68}, {"children": "5", "percentile_measure": 42.4}, {"children": "1", "percentile_measure": 42.13}, {"children": "4", "percentile_measure": 41.23}, {"children": "3", "percentile_measure": 40.565}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d367d95eaa88969ef8812113d44b159e3467a179 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/generated_sql.sql @@ -0,0 +1,71 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m4_3256f418dff20ea2 +-- problem_id: v2p_m4_8c27d002d7ff3fa6 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "children", + CAST("bmi" AS REAL) AS "bmi_value", + ROW_NUMBER() OVER ( + PARTITION BY "children" + ORDER BY CAST("bmi" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "children" + ) AS "cnt" + FROM "m4" + WHERE "children" IS NOT NULL + AND TRIM("children") <> '' + AND "bmi" IS NOT NULL + AND TRIM("bmi") <> '' +), +"pos" AS ( + SELECT + "children", + MAX("cnt") AS "cnt", + MAX(1.0 + 0.95 * ("cnt" - 1)) AS "pos" + FROM "ordered" + GROUP BY "children" + HAVING MAX("cnt") >= 5 +), +"bounds" AS ( + SELECT + "children", + "pos", + CAST("pos" AS INTEGER) AS "lower_rn", + CASE + WHEN "pos" = CAST("pos" AS INTEGER) THEN CAST("pos" AS INTEGER) + ELSE CAST("pos" AS INTEGER) + 1 + END AS "upper_rn" + FROM "pos" +) +SELECT + "bounds"."children" AS "children", + CASE + WHEN "bounds"."lower_rn" = "bounds"."upper_rn" THEN + MAX(CASE WHEN "ordered"."rn" = "bounds"."lower_rn" THEN "ordered"."bmi_value" END) + ELSE + MAX(CASE WHEN "ordered"."rn" = "bounds"."lower_rn" THEN "ordered"."bmi_value" END) + + ("bounds"."pos" - "bounds"."lower_rn") * ( + MAX(CASE WHEN "ordered"."rn" = "bounds"."upper_rn" THEN "ordered"."bmi_value" END) - + MAX(CASE WHEN "ordered"."rn" = "bounds"."lower_rn" THEN "ordered"."bmi_value" END) + ) + END AS "percentile_measure" +FROM "bounds" +JOIN "ordered" + ON "ordered"."children" = "bounds"."children" +GROUP BY + "bounds"."children", + "bounds"."pos", + "bounds"."lower_rn", + "bounds"."upper_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1516df69b3237d4a3fdcb47ebe6eebe337d877ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/query_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 \"children\",\n CAST(\"bmi\" AS REAL) AS \"bmi_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"children\"\n ORDER BY CAST(\"bmi\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"children\"\n ) AS \"cnt\"\n FROM \"m4\"\n WHERE \"children\" IS NOT NULL\n AND TRIM(\"children\") <> ''\n AND \"bmi\" IS NOT NULL\n AND TRIM(\"bmi\") <> ''\n),\n\"pos\" AS (\n SELECT\n \"children\",\n MAX(\"cnt\") AS \"cnt\",\n MAX(1.0 + 0.95 * (\"cnt\" - 1)) AS \"pos\"\n FROM \"ordered\"\n GROUP BY \"children\"\n HAVING MAX(\"cnt\") >= 5\n),\n\"bounds\" AS (\n SELECT\n \"children\",\n \"pos\",\n CAST(\"pos\" AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN \"pos\" = CAST(\"pos\" AS INTEGER) THEN CAST(\"pos\" AS INTEGER)\n ELSE CAST(\"pos\" AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"pos\"\n)\nSELECT\n \"bounds\".\"children\" AS \"children\",\n CASE\n WHEN \"bounds\".\"lower_rn\" = \"bounds\".\"upper_rn\" THEN\n MAX(CASE WHEN \"ordered\".\"rn\" = \"bounds\".\"lower_rn\" THEN \"ordered\".\"bmi_value\" END)\n ELSE\n MAX(CASE WHEN \"ordered\".\"rn\" = \"bounds\".\"lower_rn\" THEN \"ordered\".\"bmi_value\" END) +\n (\"bounds\".\"pos\" - \"bounds\".\"lower_rn\") * (\n MAX(CASE WHEN \"ordered\".\"rn\" = \"bounds\".\"upper_rn\" THEN \"ordered\".\"bmi_value\" END) -\n MAX(CASE WHEN \"ordered\".\"rn\" = \"bounds\".\"lower_rn\" THEN \"ordered\".\"bmi_value\" END)\n )\n END AS \"percentile_measure\"\nFROM \"bounds\"\nJOIN \"ordered\"\n ON \"ordered\".\"children\" = \"bounds\".\"children\"\nGROUP BY\n \"bounds\".\"children\",\n \"bounds\".\"pos\",\n \"bounds\".\"lower_rn\",\n \"bounds\".\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"children\\\",\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"bmi_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"children\\\"\\n ORDER BY CAST(\\\"bmi\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"children\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"children\\\" IS NOT NULL\\n AND TRIM(\\\"children\\\") <> ''\\n AND \\\"bmi\\\" IS NOT NULL\\n AND TRIM(\\\"bmi\\\") <> ''\\n),\\n\\\"pos\\\" AS (\\n SELECT\\n \\\"children\\\",\\n MAX(\\\"cnt\\\") AS \\\"cnt\\\",\\n MAX(1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"children\\\"\\n HAVING MAX(\\\"cnt\\\") >= 5\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"children\\\",\\n \\\"pos\\\",\\n CAST(\\\"pos\\\" AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN \\\"pos\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN CAST(\\\"pos\\\" AS INTEGER)\\n ELSE CAST(\\\"pos\\\" AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"pos\\\"\\n)\\nSELECT\\n \\\"bounds\\\".\\\"children\\\" AS \\\"children\\\",\\n CASE\\n WHEN \\\"bounds\\\".\\\"lower_rn\\\" = \\\"bounds\\\".\\\"upper_rn\\\" THEN\\n MAX(CASE WHEN \\\"ordered\\\".\\\"rn\\\" = \\\"bounds\\\".\\\"lower_rn\\\" THEN \\\"ordered\\\".\\\"bmi_value\\\" END)\\n ELSE\\n MAX(CASE WHEN \\\"ordered\\\".\\\"rn\\\" = \\\"bounds\\\".\\\"lower_rn\\\" THEN \\\"ordered\\\".\\\"bmi_value\\\" END) +\\n (\\\"bounds\\\".\\\"pos\\\" - \\\"bounds\\\".\\\"lower_rn\\\") * (\\n MAX(CASE WHEN \\\"ordered\\\".\\\"rn\\\" = \\\"bounds\\\".\\\"upper_rn\\\" THEN \\\"ordered\\\".\\\"bmi_value\\\" END) -\\n MAX(CASE WHEN \\\"ordered\\\".\\\"rn\\\" = \\\"bounds\\\".\\\"lower_rn\\\" THEN \\\"ordered\\\".\\\"bmi_value\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nJOIN \\\"ordered\\\"\\n ON \\\"ordered\\\".\\\"children\\\" = \\\"bounds\\\".\\\"children\\\"\\nGROUP BY\\n \\\"bounds\\\".\\\"children\\\",\\n \\\"bounds\\\".\\\"pos\\\",\\n \\\"bounds\\\".\\\"lower_rn\\\",\\n \\\"bounds\\\".\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"children\", \"percentile_measure\"], \"rows\": [{\"children\": \"2\", \"percentile_measure\": 42.68}, {\"children\": \"5\", \"percentile_measure\": 42.4}, {\"children\": \"1\", \"percentile_measure\": 42.13}, {\"children\": \"4\", \"percentile_measure\": 41.23}, {\"children\": \"3\", \"percentile_measure\": 40.565}, {\"children\": \"0\", \"percentile_measure\": 40.445}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 24.53}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6cd0067e80e885969359315481bcd04777cb1e68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:46:47.457426+00:00", + "ended_at": "2026-05-19T15:47:44.423252+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_3256f418dff20ea2", + "problem_id": "v2p_m4_8c27d002d7ff3fa6", + "dataset_id": "m4", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=children, measure_col=bmi.", + "bindings": { + "group_col": "children", + "measure_col": "bmi", + "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": 33.11, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=85" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_3256f418dff20ea2.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_3256f418dff20ea2", + "api_calls": 0, + "input_tokens": 13708, + "cached_input_tokens": 12032, + "output_tokens": 3088, + "total_tokens": 16796, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 56929.6, + "sql_execution_elapsed_ms_total": 24.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3b6df6526294bea30f5c5a5bd814d43207d7b8ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:44.394157+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 56929.6, "started_at": "2026-05-19T15:46:47.458617+00:00", "ended_at": "2026-05-19T15:47:44.388368+00:00", "prompt_metrics": {"chars": 5476, "bytes_utf8": 5476, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 2078, "bytes_utf8": 2078, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13708, "cached_input_tokens": 12032, "output_tokens": 3088, "reasoning_output_tokens": 2435}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"children\\\",\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"bmi_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"children\\\"\\n ORDER BY CAST(\\\"bmi\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"children\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"children\\\" IS NOT NULL\\n AND TRIM(\\\"children\\\") <> ''\\n AND \\\"bmi\\\" IS NOT NULL\\n AND TRIM(\\\"bmi\\\") <> ''\\n),\\n\\\"pos\\\" AS (\\n SELECT\\n \\\"children\\\",\\n MAX(\\\"cnt\\\") AS \\\"cnt\\\",\\n MAX(1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"children\\\"\\n HAVING MAX(\\\"cnt\\\") >= 5\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"children\\\",\\n \\\"pos\\\",\\n CAST(\\\"pos\\\" AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN \\\"pos\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN CAST(\\\"pos\\\" AS INTEGER)\\n ELSE CAST(\\\"pos\\\" AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"pos\\\"\\n)\\nSELECT\\n \\\"bounds\\\".\\\"children\\\" AS \\\"ch"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4ad8e95e3aa9789c8e31a5b0804fdb97ea182d49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_3256f418dff20ea2", + "api_calls": 0, + "input_tokens": 13708, + "cached_input_tokens": 12032, + "output_tokens": 3088, + "total_tokens": 16796, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 56929.6, + "sql_execution_elapsed_ms_total": 24.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3256f418dff20ea2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7089dccd63ac3571cae392d017a914da95ea3b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=region, measure_col=age. +Result preview: [{"region": "southeast", "total_measure": 29692}, {"region": "southwest", "total_measure": 26948}, {"region": "northwest", "total_measure": 25950}, {"region": "northeast", "total_measure": 25822}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5b87c8a5c1f63cccf1239e662f0f85d81cf998b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m4_32a1bcfa006f7825 +-- problem_id: v2p_m4_ae6684f357400499 +-- realization_mode: agent +-- source_kind: agent +SELECT "region", SUM(CAST("age" AS NUMERIC)) AS total_measure +FROM "m4" +GROUP BY "region" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c0c67a05fd2e4de99bc85f2ed1cc2106a834bdf1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"region\", SUM(CAST(\"age\" AS NUMERIC)) AS total_measure\nFROM \"m4\"\nGROUP BY \"region\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"region\\\", SUM(CAST(\\\"age\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"region\", \"total_measure\"], \"rows\": [{\"region\": \"southeast\", \"total_measure\": 29692}, {\"region\": \"southwest\", \"total_measure\": 26948}, {\"region\": \"northwest\", \"total_measure\": 25950}, {\"region\": \"northeast\", \"total_measure\": 25822}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.38}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..352959dede3d1df36ef285bb71ce94bef73a9500 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:29:11.129647+00:00", + "ended_at": "2026-05-19T15:29:19.634928+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_32a1bcfa006f7825", + "problem_id": "v2p_m4_ae6684f357400499", + "dataset_id": "m4", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=region, measure_col=age.", + "bindings": { + "group_col": "region", + "measure_col": "age", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, 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_d/m4/sql/v2q_m4_32a1bcfa006f7825.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_32a1bcfa006f7825", + "api_calls": 0, + "input_tokens": 13669, + "cached_input_tokens": 12288, + "output_tokens": 321, + "total_tokens": 13990, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8500.15, + "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_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3787a84f72fd9daadd836ed779dd1095281b9378 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:19.632344+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8500.15, "started_at": "2026-05-19T15:29:11.131355+00:00", "ended_at": "2026-05-19T15:29:19.631541+00:00", "prompt_metrics": {"chars": 5289, "bytes_utf8": 5289, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 341, "bytes_utf8": 341, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13669, "cached_input_tokens": 12288, "output_tokens": 321, "reasoning_output_tokens": 227}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"region\\\", SUM(CAST(\\\"age\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"region\\\" and measure_col=\\\"age\\\". CAST is used because the schema stores \\\"age\\\" as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7108bc97f8bc07999c705bfd0bc6fe785a6158b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_32a1bcfa006f7825", + "api_calls": 0, + "input_tokens": 13669, + "cached_input_tokens": 12288, + "output_tokens": 321, + "total_tokens": 13990, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8500.15, + "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_d/m4/artifacts/v2q_m4_32a1bcfa006f7825/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..67aabcff02e7b07e27125c27ecaf553555a7db4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/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=smoker, measure_col=age. +Result preview: [{"smoker": "no", "total_measure": 86720.0}, {"smoker": "yes", "total_measure": 21692.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..691a0e19311914a1a255d565b3c91262906c1ac8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m4_32b0b8bd71fa00a3 +-- problem_id: v2p_m4_0349b3fd77b39e80 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", SUM(CAST("age" AS REAL)) AS total_measure +FROM "m4" +GROUP BY "smoker" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5d9c60556583a45e95775da06280a7663727f823 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/query_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 \"smoker\", SUM(CAST(\"age\" AS REAL)) AS total_measure\nFROM \"m4\"\nGROUP BY \"smoker\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"smoker\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"smoker\", \"total_measure\"], \"rows\": [{\"smoker\": \"no\", \"total_measure\": 86720.0}, {\"smoker\": \"yes\", \"total_measure\": 21692.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.39}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e9ad786e17deb1c4547401e52ae3b5fb139fe257 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:30:24.495953+00:00", + "ended_at": "2026-05-19T15:30:32.418208+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_32b0b8bd71fa00a3", + "problem_id": "v2p_m4_0349b3fd77b39e80", + "dataset_id": "m4", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=smoker, measure_col=age.", + "bindings": { + "group_col": "smoker", + "measure_col": "age", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=6" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_32b0b8bd71fa00a3.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_32b0b8bd71fa00a3", + "api_calls": 0, + "input_tokens": 13671, + "cached_input_tokens": 12032, + "output_tokens": 242, + "total_tokens": 13913, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7917.83, + "sql_execution_elapsed_ms_total": 1.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7add9f883da6d7397f09bebf5ba0c00b27af3d1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:32.415388+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7917.83, "started_at": "2026-05-19T15:30:24.496662+00:00", "ended_at": "2026-05-19T15:30:32.414520+00:00", "prompt_metrics": {"chars": 5291, "bytes_utf8": 5291, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 358, "bytes_utf8": 358, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13671, "cached_input_tokens": 12032, "output_tokens": 242, "reasoning_output_tokens": 143}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"smoker\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col=\\\"smoker\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" from TEXT to REAL so SQLite performs numeric summation correctly.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2cc38a04ea20ae45cf4ff727c378f0c6fe56466f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_32b0b8bd71fa00a3", + "api_calls": 0, + "input_tokens": 13671, + "cached_input_tokens": 12032, + "output_tokens": 242, + "total_tokens": 13913, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7917.83, + "sql_execution_elapsed_ms_total": 1.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_32b0b8bd71fa00a3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..753e88033505194d61aad8b83252ba150fa708a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5464, "bytes_utf8": 5464, "lines": 180, "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": 1809, "bytes_utf8": 1809, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13708, "cached_input_tokens": 12672, "output_tokens": 2662, "reasoning_output_tokens": 1997}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..728de03c49ae1c0fb32c3d8b6f08197ffb09df3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_33e02da3bd18ff40", + "api_calls": 0, + "input_tokens": 13708, + "cached_input_tokens": 12672, + "output_tokens": 2662, + "total_tokens": 16370, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 37903.46, + "sql_execution_elapsed_ms_total": 16.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9769b87d27eee430bfe5114111fbf1b7239c4fe2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:12.825659+00:00", + "ended_at": "2026-05-19T15:50:50.729142+00:00", + "elapsed_ms": 37903.46, + "prompt_metrics": { + "chars": 5464, + "bytes_utf8": 5464, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2483, + "bytes_utf8": 2483, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1809, + "bytes_utf8": 1809, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13708, + "cached_input_tokens": 12672, + "output_tokens": 2662, + "reasoning_output_tokens": 1997 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd65888af22fd273dd593162cf66d7cf393c094a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=sex, measure_col=bmi.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "sex", + "measure_col": "bmi", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 33.11, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f0e342f5f26b12bc01207b377662746a8f0665dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-3367-74a3-994c-5b05d82501e6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"sex\\\",\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"bmi_value\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"sex\\\" IS NOT NULL\\n AND TRIM(\\\"sex\\\") <> ''\\n AND \\\"bmi\\\" IS NOT NULL\\n AND TRIM(\\\"bmi\\\") <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"sex\\\",\\n \\\"bmi_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"sex\\\"\\n ORDER BY \\\"bmi_value\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"sex\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"sex\\\",\\n ((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS \\\"pos\\\",\\n CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN ((0.9 * (\\\"cnt\\\" - 1)) + 1.0) = CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n THEN CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n ELSE CAST(((0.9 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n \\\"p\\\".\\\"sex\\\",\\n CASE\\n WHEN \\\"p\\\".\\\"lo_rn\\\" = \\\"p\\\".\\\"hi_rn\\\" THEN \\\"lo\\\".\\\"bmi_value\\\"\\n ELSE \\\"lo\\\".\\\"bmi_value\\\" + ((\\\"p\\\".\\\"pos\\\" - \\\"p\\\".\\\"lo_rn\\\") * (\\\"hi\\\".\\\"bmi_value\\\" - \\\"lo\\\".\\\"bmi_value\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"positions\\\" AS \\\"p\\\"\\nJOIN \\\"ranked\\\" AS \\\"lo\\\"\\n ON \\\"lo\\\".\\\"sex\\\" = \\\"p\\\".\\\"sex\\\"\\n AND \\\"lo\\\".\\\"rn\\\" = \\\"p\\\".\\\"lo_rn\\\"\\nJOIN \\\"ranked\\\" AS \\\"hi\\\"\\n ON \\\"hi\\\".\\\"sex\\\" = \\\"p\\\".\\\"sex\\\"\\n AND \\\"hi\\\".\\\"rn\\\" = \\\"p\\\".\\\"hi_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Implements tpl_grouped_percentile_point for group_col=sex and measure_col=bmi. Since SQLite lacks PERCENTILE_CONT, the query emulates the 0.9 percentile with ordered-row interpolation, casts \\\"bmi\\\" from TEXT to REAL, filters null/blank values, and keeps only groups with at least 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13708,"cached_input_tokens":12672,"output_tokens":2662,"reasoning_output_tokens":1997}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f55fc3b1a2b446515f7d74064e7a78999dd751cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"sex\",\n CAST(\"bmi\" AS REAL) AS \"bmi_value\"\n FROM \"m4\"\n WHERE \"sex\" IS NOT NULL\n AND TRIM(\"sex\") <> ''\n AND \"bmi\" IS NOT NULL\n AND TRIM(\"bmi\") <> ''\n),\n\"ranked\" AS (\n SELECT\n \"sex\",\n \"bmi_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"sex\"\n ORDER BY \"bmi_value\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"sex\"\n ) AS \"cnt\"\n FROM \"base\"\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"sex\",\n ((0.9 * (\"cnt\" - 1)) + 1.0) AS \"pos\",\n CAST(((0.9 * (\"cnt\" - 1)) + 1.0) AS INTEGER) AS \"lo_rn\",\n CASE\n WHEN ((0.9 * (\"cnt\" - 1)) + 1.0) = CAST(((0.9 * (\"cnt\" - 1)) + 1.0) AS INTEGER)\n THEN CAST(((0.9 * (\"cnt\" - 1)) + 1.0) AS INTEGER)\n ELSE CAST(((0.9 * (\"cnt\" - 1)) + 1.0) AS INTEGER) + 1\n END AS \"hi_rn\"\n FROM \"ranked\"\n WHERE \"cnt\" >= 5\n)\nSELECT\n \"p\".\"sex\",\n CASE\n WHEN \"p\".\"lo_rn\" = \"p\".\"hi_rn\" THEN \"lo\".\"bmi_value\"\n ELSE \"lo\".\"bmi_value\" + ((\"p\".\"pos\" - \"p\".\"lo_rn\") * (\"hi\".\"bmi_value\" - \"lo\".\"bmi_value\"))\n END AS \"percentile_measure\"\nFROM \"positions\" AS \"p\"\nJOIN \"ranked\" AS \"lo\"\n ON \"lo\".\"sex\" = \"p\".\"sex\"\n AND \"lo\".\"rn\" = \"p\".\"lo_rn\"\nJOIN \"ranked\" AS \"hi\"\n ON \"hi\".\"sex\" = \"p\".\"sex\"\n AND \"hi\".\"rn\" = \"p\".\"hi_rn\"\nORDER BY \"percentile_measure\" DESC;","notes":"Implements tpl_grouped_percentile_point for group_col=sex and measure_col=bmi. Since SQLite lacks PERCENTILE_CONT, the query emulates the 0.9 percentile with ordered-row interpolation, casts \"bmi\" from TEXT to REAL, filters null/blank values, and keeps only groups with at least 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_33e02da3bd18ff40/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3422b7dafce43ccf/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3422b7dafce43ccf/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..79af5f52908a47e0260455ca97484a2bb0c02745 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3422b7dafce43ccf/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "southeast", "support": 766, "support_share": 0.2763347763347763, "cumulative_support": 766}, {"value_label": "southwest", "support": 684, "support_share": 0.24675324675324675, "cumulative_support": 1450}, {"value_label": "northwest", "support": 664, "support_share": 0.23953823953823955, "cumulative_support": 2114}, {"value_label": "northeast", "support": 658, "support_share": 0.23737373737373738, "cumulative_support": 2772}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3422b7dafce43ccf/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3422b7dafce43ccf/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d4da81b2bda09095620277e037000e68eb613ae1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3422b7dafce43ccf/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m4_3422b7dafce43ccf +-- problem_id: v2p_m4_fb7b0be06ccbf6b2 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "region" AS value_label, COUNT(*) AS support + FROM "m4" + GROUP BY "region" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3422b7dafce43ccf/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3422b7dafce43ccf/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..703d73d38793243d377ba73b1dcf9c2efe965dbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3422b7dafce43ccf/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: m4\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m4_3422b7dafce43ccf\n-- problem_id: v2p_m4_fb7b0be06ccbf6b2\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"region\" AS value_label, COUNT(*) AS support\n FROM \"m4\"\n GROUP BY \"region\"\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_d\\n-- sql_source_dataset_id: m4\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m4_3422b7dafce43ccf\\n-- problem_id: v2p_m4_fb7b0be06ccbf6b2\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"region\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m4\\\"\\n GROUP BY \\\"region\\\"\\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\": \"southeast\", \"support\": 766, \"support_share\": 0.2763347763347763, \"cumulative_support\": 766}, {\"value_label\": \"southwest\", \"support\": 684, \"support_share\": 0.24675324675324675, \"cumulative_support\": 1450}, {\"value_label\": \"northwest\", \"support\": 664, \"support_share\": 0.23953823953823955, \"cumulative_support\": 2114}, {\"value_label\": \"northeast\", \"support\": 658, \"support_share\": 0.23737373737373738, \"cumulative_support\": 2772}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.1}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3422b7dafce43ccf/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3422b7dafce43ccf/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..05d5aea31f24f74ea3b1d1ba187f6b540f335b55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3422b7dafce43ccf/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:40.733842+00:00", + "ended_at": "2026-05-19T16:01:40.737092+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_3422b7dafce43ccf", + "problem_id": "v2p_m4_fb7b0be06ccbf6b2", + "dataset_id": "m4", + "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=region.", + "bindings": { + "group_col": "region" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), 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=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_3422b7dafce43ccf.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3422b7dafce43ccf/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3422b7dafce43ccf/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_3422b7dafce43ccf/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e339ea750d027981456462a9cf59f36d7453848 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age. +Result preview: [{"age": 64.0}, {"age": 64.0}, {"age": 64.0}, {"age": 64.0}, {"age": 64.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3361d3242307f199fd00562a913d722a9740d87b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m4_358845fde268be0e +-- problem_id: v2p_m4_47365ccc4a104f1c +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("age" AS REAL) AS "age", + NTILE(10) OVER (ORDER BY CAST("age" AS REAL) DESC) AS "tail_bucket" + FROM "m4" +) +SELECT "age" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY "age" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..adba091f5cc4dde14e350b2a122f9299e7da1f11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"age\" AS REAL) AS \"age\",\n NTILE(10) OVER (ORDER BY CAST(\"age\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m4\"\n)\nSELECT \"age\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"age\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"age\\\" AS REAL) AS \\\"age\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"age\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m4\\\"\\n)\\nSELECT \\\"age\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"age\\\" DESC;\", \"columns\": [\"age\"], \"rows\": [{\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 63.0}, {\"age\": 63.0}, {\"age\": 63.0}, {\"age\": 63.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.48}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d4c06679e3bd8ad0274b5642f746e54793ba52cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:40:23.727816+00:00", + "ended_at": "2026-05-19T15:40:33.925967+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_358845fde268be0e", + "problem_id": "v2p_m4_47365ccc4a104f1c", + "dataset_id": "m4", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age.", + "bindings": { + "measure_col": "age", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=63" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_358845fde268be0e.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_358845fde268be0e", + "api_calls": 0, + "input_tokens": 13724, + "cached_input_tokens": 12032, + "output_tokens": 446, + "total_tokens": 14170, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10189.63, + "sql_execution_elapsed_ms_total": 4.48, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7587271189ad90b39e24f08d8f343b957f2f3067 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:33.919082+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10189.63, "started_at": "2026-05-19T15:40:23.728590+00:00", "ended_at": "2026-05-19T15:40:33.918245+00:00", "prompt_metrics": {"chars": 5464, "bytes_utf8": 5464, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 536, "bytes_utf8": 536, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13724, "cached_input_tokens": 12032, "output_tokens": 446, "reasoning_output_tokens": 296}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"age\\\" AS REAL) AS \\\"age\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"age\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m4\\\"\\n)\\nSELECT \\\"age\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"age\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"age\\\" and num_tiles=10. Cast \\\"age\\\" to REAL because the SQLite schema stores it as TEXT, ensuring correct numeric ordering for the top decile tail slice.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ddff5413814748cdb189a06bad2d2f49c9134cf6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_358845fde268be0e", + "api_calls": 0, + "input_tokens": 13724, + "cached_input_tokens": 12032, + "output_tokens": 446, + "total_tokens": 14170, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10189.63, + "sql_execution_elapsed_ms_total": 4.48, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_358845fde268be0e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e994dab0954b9ccf6c2577f8d80cb2dd306ef95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=children, measure_col=bmi. +Result preview: [{"children": "0", "group_value": 36325.41}, {"children": "1", "group_value": 20634.26}, {"children": "2", "group_value": 15393.76}, {"children": "3", "group_value": 9907.92}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3e098027042e6cdde895298280e17574f3101041 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/generated_sql.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m4_37c94d5f53989dd3 +-- problem_id: v2p_m4_1cafbbceaac5481b +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "children", SUM(CAST("bmi" AS REAL)) AS group_value + FROM "m4" + WHERE "bmi" IS NOT NULL AND "bmi" <> '' + GROUP BY "children" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."children", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dbef11d9598deb85620af31c3e67161f814e4d8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"children\", SUM(CAST(\"bmi\" AS REAL)) AS group_value\n FROM \"m4\"\n WHERE \"bmi\" IS NOT NULL AND \"bmi\" <> ''\n GROUP BY \"children\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"children\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"children\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n WHERE \\\"bmi\\\" IS NOT NULL AND \\\"bmi\\\" <> ''\\n GROUP BY \\\"children\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"children\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\", \"columns\": [\"children\", \"group_value\"], \"rows\": [{\"children\": \"0\", \"group_value\": 36325.41}, {\"children\": \"1\", \"group_value\": 20634.26}, {\"children\": \"2\", \"group_value\": 15393.76}, {\"children\": \"3\", \"group_value\": 9907.92}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f99f8beb1f7c09319996c33fbddc5a15606ada72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:41:56.599183+00:00", + "ended_at": "2026-05-19T15:42:13.179792+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_37c94d5f53989dd3", + "problem_id": "v2p_m4_1cafbbceaac5481b", + "dataset_id": "m4", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=children, measure_col=bmi.", + "bindings": { + "group_col": "children", + "measure_col": "bmi", + "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": 33.11, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=73" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_37c94d5f53989dd3.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_37c94d5f53989dd3", + "api_calls": 0, + "input_tokens": 13806, + "cached_input_tokens": 12672, + "output_tokens": 608, + "total_tokens": 14414, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16571.52, + "sql_execution_elapsed_ms_total": 3.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a39b85350f1a1ce58d11410c68d3c3d91b297395 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:13.173075+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16571.52, "started_at": "2026-05-19T15:41:56.599955+00:00", "ended_at": "2026-05-19T15:42:13.171507+00:00", "prompt_metrics": {"chars": 5851, "bytes_utf8": 5851, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 648, "bytes_utf8": 648, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13806, "cached_input_tokens": 12672, "output_tokens": 608, "reasoning_output_tokens": 428}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"children\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n WHERE \\\"bmi\\\" IS NOT NULL AND \\\"bmi\\\" <> ''\\n GROUP BY \\\"children\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"children\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the required Relative-to-Total Extreme Threshold template with group_col=\\\"children\\\" and measure_col=\\\"bmi\\\". Casts \\\"bmi\\\" from TEXT to REAL for aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..42fdba8c78a8d1b467c4978a93f6b85e1ece790d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_37c94d5f53989dd3", + "api_calls": 0, + "input_tokens": 13806, + "cached_input_tokens": 12672, + "output_tokens": 608, + "total_tokens": 14414, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16571.52, + "sql_execution_elapsed_ms_total": 3.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_37c94d5f53989dd3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f3e7809dff1a6b52fa6fb36d61587a6e46e401b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/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=smoker. +Result preview: [{"smoker": "no", "row_count": 2208}, {"smoker": "yes", "row_count": 564}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..682e1141b81a1bfa838cf18ccfbc92cf5541fe24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m4_38ac3554a1298c99 +-- problem_id: v2p_m4_09f2c93de3e55a47 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", COUNT(*) AS row_count +FROM "m4" +GROUP BY "smoker" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..48227024488d8cf6091196f5f3fbf7d9ed2ae7b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/query_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 \"smoker\", COUNT(*) AS row_count\nFROM \"m4\"\nGROUP BY \"smoker\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"smoker\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"smoker\", \"row_count\"], \"rows\": [{\"smoker\": \"no\", \"row_count\": 2208}, {\"smoker\": \"yes\", \"row_count\": 564}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1b893a52a1c08dfb7df235f5a5af0947da67e329 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:31:27.701463+00:00", + "ended_at": "2026-05-19T15:31:45.439773+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_38ac3554a1298c99", + "problem_id": "v2p_m4_09f2c93de3e55a47", + "dataset_id": "m4", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=smoker.", + "bindings": { + "group_col": "smoker", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "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_d/m4/sql/v2q_m4_38ac3554a1298c99.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_38ac3554a1298c99", + "api_calls": 0, + "input_tokens": 13646, + "cached_input_tokens": 12672, + "output_tokens": 191, + "total_tokens": 13837, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17730.6, + "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_d/m4/artifacts/v2q_m4_38ac3554a1298c99/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..83bb4f86da1b3166935eeb7b1b7a4940ba10ff3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:45.434880+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17730.6, "started_at": "2026-05-19T15:31:27.702672+00:00", "ended_at": "2026-05-19T15:31:45.433310+00:00", "prompt_metrics": {"chars": 5210, "bytes_utf8": 5210, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13646, "cached_input_tokens": 12672, "output_tokens": 191, "reasoning_output_tokens": 111}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"smoker\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the provided Grouped Count by Category template with group_col bound to \\\"smoker\\\" on the single table \\\"m4\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..82a36b4469a38a5a248a87d4efcff931b174434d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_38ac3554a1298c99/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_38ac3554a1298c99", + "api_calls": 0, + "input_tokens": 13646, + "cached_input_tokens": 12672, + "output_tokens": 191, + "total_tokens": 13837, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17730.6, + "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_d/m4/artifacts/v2q_m4_38ac3554a1298c99/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3ac23a41c95c9df58b2da100f4742879a3cb1763 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5371, "bytes_utf8": 5371, "lines": 180, "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": 5371, "bytes_utf8": 5371, "lines": 180, "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": 357, "bytes_utf8": 357, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13682, "cached_input_tokens": 12032, "output_tokens": 239, "reasoning_output_tokens": 141}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7b5193a1129d67c36ddd58ef03b2fc4433061b94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_410a404cf6b5ee0a", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12032, + "output_tokens": 239, + "total_tokens": 13921, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10244.13, + "sql_execution_elapsed_ms_total": 12.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3eb184583da00fc52fb844d49653d4c609442b55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:29.033074+00:00", + "ended_at": "2026-05-19T16:00:32.271846+00:00", + "elapsed_ms": 3238.75, + "returncode": 1, + "prompt_metrics": { + "chars": 5371, + "bytes_utf8": 5371, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4956798e22565958a5e04c49b4fb762679b71d13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/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": "2026-05-19T16:00:33.274016+00:00", + "ended_at": "2026-05-19T16:00:40.279449+00:00", + "elapsed_ms": 7005.38, + "prompt_metrics": { + "chars": 5371, + "bytes_utf8": 5371, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 715, + "bytes_utf8": 715, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 357, + "bytes_utf8": 357, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13682, + "cached_input_tokens": 12032, + "output_tokens": 239, + "reasoning_output_tokens": 141 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..646013bcd2d5ba88a065a5bb08438d0642bf6484 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=sex, measure_col=bmi.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "sex", + "measure_col": "bmi", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..646013bcd2d5ba88a065a5bb08438d0642bf6484 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=sex, measure_col=bmi.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "sex", + "measure_col": "bmi", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0dac1a9fbe470d0db871f818e27cb803e750e9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-9a7c-74c3-a1fc-03575759df91"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..386313e5323d07a2b18dbcb21f17360933c06b0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-9a7c-74c3-a1fc-03575759df91"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f26ebc523e79c521d29337f77965aeeb4e0ae47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-ab0d-7332-a742-c8f7bf1203ba"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"sex\\\",\\n AVG(CAST(\\\"bmi\\\" AS REAL)) OVER (PARTITION BY \\\"sex\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"sex\\\" and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" from TEXT to REAL for SQLite aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13682,"cached_input_tokens":12032,"output_tokens":239,"reasoning_output_tokens":141}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..368bf6cd47a09d8a477f1e0973c6151f38e9e1ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"sex\",\n AVG(CAST(\"bmi\" AS REAL)) OVER (PARTITION BY \"sex\") AS avg_measure\nFROM \"m4\"\nORDER BY avg_measure DESC;","notes":"Applied the Window Partition Average template with group_col=\"sex\" and measure_col=\"bmi\". Cast \"bmi\" from TEXT to REAL for SQLite aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_410a404cf6b5ee0a/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..33aa5bf7b8c42e112ca120b07992819cde73c2c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/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=smoker, condition_col=children. +Result preview: [{"smoker": "no", "condition_rate": 0.4311594202898551}, {"smoker": "yes", "condition_rate": 0.4148936170212766}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9c0ffe23eae95c4e7a0129ea9b67d297a532724a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m4_419c4c695e6eb0ef +-- problem_id: v2p_m4_e53e6c66c27f1be5 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", + AVG(CASE WHEN "children" = '0' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m4" +GROUP BY "smoker" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0369e7384619173b06e45f103b8fd94a5db71587 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/query_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 \"smoker\",\n AVG(CASE WHEN \"children\" = '0' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m4\"\nGROUP BY \"smoker\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"smoker\\\",\\n AVG(CASE WHEN \\\"children\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"smoker\", \"condition_rate\"], \"rows\": [{\"smoker\": \"no\", \"condition_rate\": 0.4311594202898551}, {\"smoker\": \"yes\", \"condition_rate\": 0.4148936170212766}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.72}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..83811d7ed2d745e90ad26f3f0a8997eac36a8ff5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:55:17.087382+00:00", + "ended_at": "2026-05-19T15:55:25.874761+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_419c4c695e6eb0ef", + "problem_id": "v2p_m4_e53e6c66c27f1be5", + "dataset_id": "m4", + "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=smoker, condition_col=children.", + "bindings": { + "group_col": "smoker", + "condition_col": "children", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "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_d/m4/sql/v2q_m4_419c4c695e6eb0ef.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_419c4c695e6eb0ef", + "api_calls": 0, + "input_tokens": 13733, + "cached_input_tokens": 12032, + "output_tokens": 352, + "total_tokens": 14085, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8779.58, + "sql_execution_elapsed_ms_total": 2.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b4606ef62622a3de67b3dd12780a9aa0ab424df0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:55:25.869370+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8779.58, "started_at": "2026-05-19T15:55:17.088207+00:00", "ended_at": "2026-05-19T15:55:25.867821+00:00", "prompt_metrics": {"chars": 5550, "bytes_utf8": 5550, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 438, "bytes_utf8": 438, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13733, "cached_input_tokens": 12032, "output_tokens": 352, "reasoning_output_tokens": 234}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"smoker\\\",\\n AVG(CASE WHEN \\\"children\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col=\\\"smoker\\\" and condition_col=\\\"children\\\", measuring the within-group proportion of rows where children equals '0' (stored as TEXT in this schema).\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f9d96dfacf206b6fd7200edca99fb4a366637cca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_419c4c695e6eb0ef", + "api_calls": 0, + "input_tokens": 13733, + "cached_input_tokens": 12032, + "output_tokens": 352, + "total_tokens": 14085, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8779.58, + "sql_execution_elapsed_ms_total": 2.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_419c4c695e6eb0ef/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..094e21f5ddda4cddaedc3d9d3ae1b70074d18ea4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/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=sex. +Result preview: [{"sex": "female", "support": 1366}, {"sex": "male", "support": 1406}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..88a0be0ff13a028b429000cce61b5c3ad4d7e17e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m4_42d3582f1fabd11d +-- problem_id: v2p_m4_75d6438511964028 +-- realization_mode: agent +-- source_kind: agent +SELECT + "sex", + COUNT(*) AS support +FROM "m4" +GROUP BY "sex" +ORDER BY support ASC, "sex" +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..58c6d02fda1370d5437dbacfbf96ff1fc65d6801 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/query_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 \"sex\",\n COUNT(*) AS support\nFROM \"m4\"\nGROUP BY \"sex\"\nORDER BY support ASC, \"sex\"\nLIMIT 14;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2.\\nSELECT\\n \\\"sex\\\",\\n COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY support ASC, \\\"sex\\\"\\nLIMIT 14;\", \"columns\": [\"sex\", \"support\"], \"rows\": [{\"sex\": \"female\", \"support\": 1366}, {\"sex\": \"male\", \"support\": 1406}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.09}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..77b739233997672762b7807067a5183cf16d8244 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:58:16.986743+00:00", + "ended_at": "2026-05-19T15:58:24.412090+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_42d3582f1fabd11d", + "problem_id": "v2p_m4_75d6438511964028", + "dataset_id": "m4", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=sex.", + "bindings": { + "group_col": "sex", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=124" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_42d3582f1fabd11d.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_42d3582f1fabd11d", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12672, + "output_tokens": 223, + "total_tokens": 13905, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7418.03, + "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_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2f1e5030efd0d6f2e5e1d42a763d7d182ea5cf29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:58:24.407281+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7418.03, "started_at": "2026-05-19T15:58:16.987869+00:00", "ended_at": "2026-05-19T15:58:24.405928+00:00", "prompt_metrics": {"chars": 5284, "bytes_utf8": 5284, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 310, "bytes_utf8": 310, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13682, "cached_input_tokens": 12672, "output_tokens": 223, "reasoning_output_tokens": 128}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2.\\nSELECT\\n \\\"sex\\\",\\n COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY support ASC, \\\"sex\\\"\\nLIMIT 14;\",\"notes\":\"Applied the Low-Support Group Count template with group_col bound to \\\"sex\\\" and top_k=14 on the single table \\\"m4\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..914ca9af4ee1fadd5fb8aaa2014c90547b12e460 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_42d3582f1fabd11d", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12672, + "output_tokens": 223, + "total_tokens": 13905, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7418.03, + "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_d/m4/artifacts/v2q_m4_42d3582f1fabd11d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..463fcdb475fcee7e3a6bb9602833ba284d3f4b54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/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=sex, measure_col=bmi. +Result preview: [{"sex": "male", "total_measure": 43530.65}, {"sex": "female", "total_measure": 41573.49}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..34c2c909db60d3e8af8adf18dc7fbc4f2da1e0a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m4_466079ec16179176 +-- problem_id: v2p_m4_1a58e3bcce2e79d2 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", SUM(CAST("bmi" AS REAL)) AS total_measure +FROM "m4" +GROUP BY "sex" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..56813317200c3a386c65314668ce373687aee1be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/query_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 \"sex\", SUM(CAST(\"bmi\" AS REAL)) AS total_measure\nFROM \"m4\"\nGROUP BY \"sex\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"sex\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"sex\", \"total_measure\"], \"rows\": [{\"sex\": \"male\", \"total_measure\": 43530.65}, {\"sex\": \"female\", \"total_measure\": 41573.49}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.91}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..286910eca17d9c1d35ea6a0022efafe436800ca3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:29:29.867342+00:00", + "ended_at": "2026-05-19T15:29:37.664756+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_466079ec16179176", + "problem_id": "v2p_m4_1a58e3bcce2e79d2", + "dataset_id": "m4", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sex, measure_col=bmi.", + "bindings": { + "group_col": "sex", + "measure_col": "bmi", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=4" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_466079ec16179176.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_466079ec16179176", + "api_calls": 0, + "input_tokens": 13670, + "cached_input_tokens": 12032, + "output_tokens": 278, + "total_tokens": 13948, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7791.76, + "sql_execution_elapsed_ms_total": 1.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..30d93cd317e41fa89fd297ee43d02b88d46dfdd8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:37.661179+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7791.76, "started_at": "2026-05-19T15:29:29.868127+00:00", "ended_at": "2026-05-19T15:29:37.659915+00:00", "prompt_metrics": {"chars": 5285, "bytes_utf8": 5285, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 339, "bytes_utf8": 339, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13670, "cached_input_tokens": 12032, "output_tokens": 278, "reasoning_output_tokens": 181}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"sex\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"sex\\\" and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" from TEXT to REAL for numeric aggregation in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..50cd872414d250ad4a022b978c8c025a68cf2365 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_466079ec16179176", + "api_calls": 0, + "input_tokens": 13670, + "cached_input_tokens": 12032, + "output_tokens": 278, + "total_tokens": 13948, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7791.76, + "sql_execution_elapsed_ms_total": 1.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_466079ec16179176/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..80ce18e937bd439f987119ca19a01ccbf22dae42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi. +Result preview: [{"empirical_cdf_at_threshold": 0.7503607503607503}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9cab2d74aa37096566871a01730c40dcb56780e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_m4_46e8a167bb24d5d8 +-- problem_id: v2p_m4_3f97f3aad1849352 +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("bmi" AS REAL) <= 34.77 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m4"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2ea4831f3cc01ad9ea99c77f18befc67bfa2bde3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/query_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(\"bmi\" AS REAL) <= 34.77 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m4\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"bmi\\\" AS REAL) <= 34.77 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m4\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.7503607503607503}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.79}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..62d4938258bbb414f439b944a83a5d3c027dcd53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:56:28.956972+00:00", + "ended_at": "2026-05-19T15:56:42.107510+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_46e8a167bb24d5d8", + "problem_id": "v2p_m4_3f97f3aad1849352", + "dataset_id": "m4", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi.", + "bindings": { + "measure_col": "bmi", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=112" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_46e8a167bb24d5d8.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_46e8a167bb24d5d8", + "api_calls": 0, + "input_tokens": 13661, + "cached_input_tokens": 12672, + "output_tokens": 607, + "total_tokens": 14268, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13146.99, + "sql_execution_elapsed_ms_total": 0.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b2bdef94264e382c0be8a47eea1f2c8e1b8bb448 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:42.105554+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13146.99, "started_at": "2026-05-19T15:56:28.957773+00:00", "ended_at": "2026-05-19T15:56:42.104789+00:00", "prompt_metrics": {"chars": 5232, "bytes_utf8": 5232, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 383, "bytes_utf8": 383, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13661, "cached_input_tokens": 12672, "output_tokens": 607, "reasoning_output_tokens": 494}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"bmi\\\" AS REAL) <= 34.77 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m4\\\";\",\"notes\":\"Applied the provided Threshold Rarity CDF template with measure_col bound to \\\"bmi\\\" and measure_threshold fixed at 34.77. CAST(\\\"bmi\\\" AS REAL) is used because the schema stores numeric values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3dd6853d7fe3051c9cb01e3e325f1316217d5bd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_46e8a167bb24d5d8", + "api_calls": 0, + "input_tokens": 13661, + "cached_input_tokens": 12672, + "output_tokens": 607, + "total_tokens": 14268, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13146.99, + "sql_execution_elapsed_ms_total": 0.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_46e8a167bb24d5d8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9a010830426275685e0bd6061901ffed3714fc8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5847, "bytes_utf8": 5847, "lines": 180, "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": 620, "bytes_utf8": 620, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13806, "cached_input_tokens": 12672, "output_tokens": 457, "reasoning_output_tokens": 274}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7344a85303bdee0b9d2b43742b291c788388d93a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_480f865f77a09619", + "api_calls": 0, + "input_tokens": 13806, + "cached_input_tokens": 12672, + "output_tokens": 457, + "total_tokens": 14263, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14350.01, + "sql_execution_elapsed_ms_total": 3.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a393480a62934ae0c3ab07d3881b905240a0cbfb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/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": "2026-05-19T15:44:42.582314+00:00", + "ended_at": "2026-05-19T15:44:56.932355+00:00", + "elapsed_ms": 14350.01, + "prompt_metrics": { + "chars": 5847, + "bytes_utf8": 5847, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1372, + "bytes_utf8": 1372, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 620, + "bytes_utf8": 620, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13806, + "cached_input_tokens": 12672, + "output_tokens": 457, + "reasoning_output_tokens": 274 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..866992827e08ec6183ebc726b34456a6ffe523ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=region, measure_col=bmi.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "region", + "measure_col": "bmi", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 33.11, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6e8a5437200494b36bbb27787d71a256953f617 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e9-297d-7821-bb16-2adee81aac72"} +{"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 14441. Please try again in 433ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"region\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m4\\\"\\n GROUP BY \\\"region\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"region\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the required template with group_col=\\\"region\\\" and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" from TEXT to REAL for SQLite numeric aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13806,"cached_input_tokens":12672,"output_tokens":457,"reasoning_output_tokens":274}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..016636ea1654bbe78880ca1cbfa0f5eab37f19b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"region\", SUM(CAST(\"bmi\" AS REAL)) AS \"group_value\"\n FROM \"m4\"\n GROUP BY \"region\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"region\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Applied the required template with group_col=\"region\" and measure_col=\"bmi\". Cast \"bmi\" from TEXT to REAL for SQLite numeric aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_480f865f77a09619/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4878fb5b796bdc08d6c8b00da1603651a4b9277a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/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=sex, condition_col=sex. +Result preview: [{"sex": "female", "condition_rate": 1.0}, {"sex": "male", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..af5d8bcda9f8407e2d3bde61ef14ba2319db057c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m4_4a26f509c6c2d9f5 +-- problem_id: v2p_m4_70577e186f962e07 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", + AVG(CASE WHEN "sex" = 'female' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m4" +GROUP BY "sex" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2f875eca31ee398f5550e3ab4935cd64de725332 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/query_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 \"sex\",\n AVG(CASE WHEN \"sex\" = 'female' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m4\"\nGROUP BY \"sex\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sex\\\",\\n AVG(CASE WHEN \\\"sex\\\" = 'female' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"sex\", \"condition_rate\"], \"rows\": [{\"sex\": \"female\", \"condition_rate\": 1.0}, {\"sex\": \"male\", \"condition_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.25}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f3e5f0ce52557c77193b7dc8413d4ab851e2c09c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:53:19.927409+00:00", + "ended_at": "2026-05-19T15:53:32.564944+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_4a26f509c6c2d9f5", + "problem_id": "v2p_m4_70577e186f962e07", + "dataset_id": "m4", + "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=sex, condition_col=sex.", + "bindings": { + "group_col": "sex", + "condition_col": "sex", + "condition_value": "female", + "positive_value": "male", + "negative_value": "female", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "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_d/m4/sql/v2q_m4_4a26f509c6c2d9f5.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_4a26f509c6c2d9f5", + "api_calls": 0, + "input_tokens": 13730, + "cached_input_tokens": 12672, + "output_tokens": 407, + "total_tokens": 14137, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12632.31, + "sql_execution_elapsed_ms_total": 1.25, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..580012505df687d46f035344106e0292d8dc94f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:53:32.562217+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12632.31, "started_at": "2026-05-19T15:53:19.929075+00:00", "ended_at": "2026-05-19T15:53:32.561430+00:00", "prompt_metrics": {"chars": 5544, "bytes_utf8": 5544, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 430, "bytes_utf8": 430, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13730, "cached_input_tokens": 12672, "output_tokens": 407, "reasoning_output_tokens": 294}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sex\\\",\\n AVG(CASE WHEN \\\"sex\\\" = 'female' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the requested Grouped Condition Rate template with both group_col and condition_col bound to \\\"sex\\\" and condition_value set to 'female'. This produces a deterministic within-group rate by sex.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..798977a1b3fceefb63e959510b5f623eaf6208bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_4a26f509c6c2d9f5", + "api_calls": 0, + "input_tokens": 13730, + "cached_input_tokens": 12672, + "output_tokens": 407, + "total_tokens": 14137, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12632.31, + "sql_execution_elapsed_ms_total": 1.25, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4a26f509c6c2d9f5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3120947fd48fca48c7f3fa2eb93136c8fc1f8131 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=region, measure_col=age. +Result preview: [{"region": "southeast", "group_value": 29692.0}, {"region": "southwest", "group_value": 26948.0}, {"region": "northwest", "group_value": 25950.0}, {"region": "northeast", "group_value": 25822.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2647e5af44193ce5729858c0582ca6e02161f941 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m4_4bc15b2fb3865d11 +-- problem_id: v2p_m4_48f6f0defba7ea05 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "region", SUM(CAST("age" AS REAL)) AS group_value + FROM "m4" + GROUP BY "region" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."region", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..08af52f78f9c51ab600f0a90789661825ecdbf41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"region\", SUM(CAST(\"age\" AS REAL)) AS group_value\n FROM \"m4\"\n GROUP BY \"region\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"region\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"region\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"region\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"region\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\", \"columns\": [\"region\", \"group_value\"], \"rows\": [{\"region\": \"southeast\", \"group_value\": 29692.0}, {\"region\": \"southwest\", \"group_value\": 26948.0}, {\"region\": \"northwest\", \"group_value\": 25950.0}, {\"region\": \"northeast\", \"group_value\": 25822.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.33}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d3ce5d918ac929242f475f5aaa4f12976a83d836 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:42:53.835785+00:00", + "ended_at": "2026-05-19T15:43:07.311422+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_4bc15b2fb3865d11", + "problem_id": "v2p_m4_48f6f0defba7ea05", + "dataset_id": "m4", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=region, measure_col=age.", + "bindings": { + "group_col": "region", + "measure_col": "age", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=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_d/m4/sql/v2q_m4_4bc15b2fb3865d11.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_4bc15b2fb3865d11", + "api_calls": 0, + "input_tokens": 13805, + "cached_input_tokens": 12672, + "output_tokens": 404, + "total_tokens": 14209, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13466.16, + "sql_execution_elapsed_ms_total": 3.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e58b03ed23744f1f76e57d3b3c9c4fc76dbaff3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:07.305278+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13466.16, "started_at": "2026-05-19T15:42:53.837497+00:00", "ended_at": "2026-05-19T15:43:07.303701+00:00", "prompt_metrics": {"chars": 5846, "bytes_utf8": 5846, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 614, "bytes_utf8": 614, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13805, "cached_input_tokens": 12672, "output_tokens": 404, "reasoning_output_tokens": 241}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"region\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"region\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"region\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the provided Relative-to-Total Extreme Threshold template with group_col=\\\"region\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" from TEXT to REAL so SUM is SQLite-compatible and numeric.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a53f36c604c8253c4269e0929b2fb67223ed8b22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_4bc15b2fb3865d11", + "api_calls": 0, + "input_tokens": 13805, + "cached_input_tokens": 12672, + "output_tokens": 404, + "total_tokens": 14209, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13466.16, + "sql_execution_elapsed_ms_total": 3.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4bc15b2fb3865d11/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bba37b96de71e1e972d8d46d5e546db9bd422bda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5375, "bytes_utf8": 5375, "lines": 180, "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": 5375, "bytes_utf8": 5375, "lines": 180, "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": 391, "bytes_utf8": 391, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13682, "cached_input_tokens": 12032, "output_tokens": 258, "reasoning_output_tokens": 156}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..40c7694ba7658cd491937a424800d1c572e8e621 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_4e02c7edd524b3ac", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12032, + "output_tokens": 258, + "total_tokens": 13940, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11585.65, + "sql_execution_elapsed_ms_total": 4.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4601ecace22c36a47d877c1789b0ceb093525268 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:28.124731+00:00", + "ended_at": "2026-05-19T16:01:31.260337+00:00", + "elapsed_ms": 3135.57, + "returncode": 1, + "prompt_metrics": { + "chars": 5375, + "bytes_utf8": 5375, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..263101d4943f6bee6741e61a1373f5c52bda26eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:32.262250+00:00", + "ended_at": "2026-05-19T16:01:40.712369+00:00", + "elapsed_ms": 8450.08, + "prompt_metrics": { + "chars": 5375, + "bytes_utf8": 5375, + "lines": 180, + "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": 391, + "bytes_utf8": 391, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13682, + "cached_input_tokens": 12032, + "output_tokens": 258, + "reasoning_output_tokens": 156 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4583bb8f6e5cc21f48e0ea2cededc53b875f780b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=smoker, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "smoker", + "measure_col": "age", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..4583bb8f6e5cc21f48e0ea2cededc53b875f780b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=smoker, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "smoker", + "measure_col": "age", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d4edf0636b8fc54899d17e3921373446b2b6635 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-8147-7232-8119-f1f70faa4054"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f7fccb123b92be0d517917e3352ebad9aa77f09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-8147-7232-8119-f1f70faa4054"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a43178646451e7179bae8ae1b98cf4da6bc0b23f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-916f-7d91-b804-f337dc249c94"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"smoker\\\",\\n AVG(CAST(\\\"age\\\" AS REAL)) OVER (PARTITION BY \\\"smoker\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the provided Window Partition Average template with group_col=\\\"smoker\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" to REAL because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13682,"cached_input_tokens":12032,"output_tokens":258,"reasoning_output_tokens":156}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..8dabde8e87c44695bff8e03e8b7e078c52c0afeb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"smoker\",\n AVG(CAST(\"age\" AS REAL)) OVER (PARTITION BY \"smoker\") AS avg_measure\nFROM \"m4\"\nORDER BY avg_measure DESC;","notes":"Applied the provided Window Partition Average template with group_col=\"smoker\" and measure_col=\"age\". Cast \"age\" to REAL because the schema stores numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e02c7edd524b3ac/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1c301f4bffe43f17c491542156b723d99c4019c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5859, "bytes_utf8": 5859, "lines": 180, "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": 611, "bytes_utf8": 611, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13805, "cached_input_tokens": 12672, "output_tokens": 462, "reasoning_output_tokens": 303}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..68bf72a1a478a4687582fc959968839aafa748b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_4e766c6556cb1d51", + "api_calls": 0, + "input_tokens": 13805, + "cached_input_tokens": 12672, + "output_tokens": 462, + "total_tokens": 14267, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12204.98, + "sql_execution_elapsed_ms_total": 1.52, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..87f7491865ff0bef340c566afe1819877f3328b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:53.027235+00:00", + "ended_at": "2026-05-19T15:44:05.232252+00:00", + "elapsed_ms": 12204.98, + "prompt_metrics": { + "chars": 5859, + "bytes_utf8": 5859, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 982, + "bytes_utf8": 982, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 611, + "bytes_utf8": 611, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13805, + "cached_input_tokens": 12672, + "output_tokens": 462, + "reasoning_output_tokens": 303 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0607c2c57d06d4a45410b55514aa8b66e34779f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=children, measure_col=children.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "children", + "measure_col": "children", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b426b6e751f1dfb255f2e67d3d0979e6dc95cf1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-67c2-7341-a7e8-35970de2a06d"} +{"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 \\\"children\\\", SUM(CAST(\\\"children\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"children\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"children\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the required template with group_col=\\\"children\\\" and measure_col=\\\"children\\\". Casts \\\"children\\\" to REAL because the schema stores numeric fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13805,"cached_input_tokens":12672,"output_tokens":462,"reasoning_output_tokens":303}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8acea4323c6a6a5a6e55437e8f64813b678675b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"children\", SUM(CAST(\"children\" AS REAL)) AS group_value\n FROM \"m4\"\n GROUP BY \"children\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"children\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Uses the required template with group_col=\"children\" and measure_col=\"children\". Casts \"children\" to REAL because the schema stores numeric fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e766c6556cb1d51/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ba3be29414237a577b00fd90a3dd82a46a1d0b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/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=smoker, measure_col=children. +Result preview: [{"smoker": "yes", "age": "43", "total_measure": 36.0, "share_within_group": 5.714285714285714}, {"smoker": "yes", "age": "30", "total_measure": 34.0, "share_within_group": 5.396825396825397}, {"smoker": "yes", "age": "47", "total_measure": 30.0, "share_within_group": 4.761904761904762}, {"smoker": "yes", "age": "52", "total_measure": 26.0, "share_within_group": 4.126984126984127}, {"smoker": "no", "age": "39", "total_measure": 98.0, "share_within_group": 4.042904290429043}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..12eecfc12cef946301a3e95c1e065d8b34b35065 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m4_4e79caaf9658165d +-- problem_id: v2p_m4_e53928af633f4077 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", "age", + SUM(CAST("children" AS REAL)) AS total_measure, + SUM(CAST("children" AS REAL)) * 100.0 / SUM(SUM(CAST("children" AS REAL))) OVER (PARTITION BY "smoker") AS share_within_group +FROM "m4" +GROUP BY "smoker", "age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..278fcd99121a8de02541bb4c34951ec9630793b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"smoker\", \"age\",\n SUM(CAST(\"children\" AS REAL)) AS total_measure,\n SUM(CAST(\"children\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"children\" AS REAL))) OVER (PARTITION BY \"smoker\") AS share_within_group\nFROM \"m4\"\nGROUP BY \"smoker\", \"age\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"smoker\\\", \\\"age\\\",\\n SUM(CAST(\\\"children\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"children\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"children\\\" AS REAL))) OVER (PARTITION BY \\\"smoker\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"smoker\", \"age\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"smoker\": \"yes\", \"age\": \"43\", \"total_measure\": 36.0, \"share_within_group\": 5.714285714285714}, {\"smoker\": \"yes\", \"age\": \"30\", \"total_measure\": 34.0, \"share_within_group\": 5.396825396825397}, {\"smoker\": \"yes\", \"age\": \"47\", \"total_measure\": 30.0, \"share_within_group\": 4.761904761904762}, {\"smoker\": \"yes\", \"age\": \"52\", \"total_measure\": 26.0, \"share_within_group\": 4.126984126984127}, {\"smoker\": \"no\", \"age\": \"39\", \"total_measure\": 98.0, \"share_within_group\": 4.042904290429043}, {\"smoker\": \"yes\", \"age\": \"39\", \"total_measure\": 24.0, \"share_within_group\": 3.8095238095238093}, {\"smoker\": \"no\", \"age\": \"46\", \"total_measure\": 88.0, \"share_within_group\": 3.6303630363036303}, {\"smoker\": \"yes\", \"age\": \"37\", \"total_measure\": 22.0, \"share_within_group\": 3.492063492063492}, {\"smoker\": \"no\", \"age\": \"45\", \"total_measure\": 82.0, \"share_within_group\": 3.382838283828383}, {\"smoker\": \"no\", \"age\": \"33\", \"total_measure\": 80.0, \"share_within_group\": 3.3003300330033003}, {\"smoker\": \"yes\", \"age\": \"22\", \"total_measure\": 20.0, \"share_within_group\": 3.1746031746031744}, {\"smoker\": \"yes\", \"age\": \"51\", \"total_measure\": 20.0, \"share_within_group\": 3.1746031746031744}, {\"smoker\": \"no\", \"age\": \"28\", \"total_measure\": 74.0, \"share_within_group\": 3.052805280528053}, {\"smoker\": \"no\", \"age\": \"40\", \"total_measure\": 72.0, \"share_within_group\": 2.9702970297029703}, {\"smoker\": \"no\", \"age\": \"41\", \"total_measure\": 70.0, \"share_within_group\": 2.887788778877888}, {\"smoker\": \"no\", \"age\": \"49\", \"total_measure\": 70.0, \"share_within_group\": 2.887788778877888}, {\"smoker\": \"yes\", \"age\": \"23\", \"total_measure\": 18.0, \"share_within_group\": 2.857142857142857}, {\"smoker\": \"yes\", \"age\": \"31\", \"total_measure\": 18.0, \"share_within_group\": 2.857142857142857}, {\"smoker\": \"yes\", \"age\": \"32\", \"total_measure\": 18.0, \"share_within_group\": 2.857142857142857}, {\"smoker\": \"yes\", \"age\": \"35\", \"total_measure\": 18.0, \"share_within_group\": 2.857142857142857}, {\"smoker\": \"yes\", \"age\": \"36\", \"total_measure\": 18.0, \"share_within_group\": 2.857142857142857}, {\"smoker\": \"yes\", \"age\": \"54\", \"total_measure\": 18.0, \"share_within_group\": 2.857142857142857}, {\"smoker\": \"no\", \"age\": \"38\", \"total_measure\": 68.0, \"share_within_group\": 2.8052805280528053}, {\"smoker\": \"no\", \"age\": \"50\", \"total_measure\": 68.0, \"share_within_group\": 2.8052805280528053}, {\"smoker\": \"no\", \"age\": \"54\", \"total_measure\": 68.0, \"share_within_group\": 2.8052805280528053}, {\"smoker\": \"no\", \"age\": \"35\", \"total_measure\": 66.0, \"share_within_group\": 2.722772277227723}, {\"smoker\": \"no\", \"age\": \"52\", \"total_measure\": 66.0, \"share_within_group\": 2.722772277227723}, {\"smoker\": \"no\", \"age\": \"48\", \"total_measure\": 64.0, \"share_within_group\": 2.6402640264026402}, {\"smoker\": \"yes\", \"age\": \"18\", \"total_measure\": 16.0, \"share_within_group\": 2.5396825396825395}, {\"smoker\": \"yes\", \"age\": \"42\", \"total_measure\": 16.0, \"share_within_group\": 2.5396825396825395}, {\"smoker\": \"yes\", \"age\": \"46\", \"total_measure\": 16.0, \"share_within_group\": 2.5396825396825395}, {\"smoker\": \"no\", \"age\": \"25\", \"total_measure\": 60.0, \"share_within_group\": 2.4752475247524752}, {\"smoker\": \"no\", \"age\": \"29\", \"total_measure\": 60.0, \"share_within_group\": 2.4752475247524752}, {\"smoker\": \"no\", \"age\": \"37\", \"total_measure\": 60.0, \"share_within_group\": 2.4752475247524752}, {\"smoker\": \"no\", \"age\": \"19\", \"total_measure\": 58.0, \"share_within_group\": 2.392739273927393}, {\"smoker\": \"no\", \"age\": \"26\", \"total_measure\": 58.0, \"share_within_group\": 2.392739273927393}, {\"smoker\": \"no\", \"age\": \"31\", \"total_measure\": 58.0, \"share_within_group\": 2.392739273927393}, {\"smoker\": \"no\", \"age\": \"44\", \"total_measure\": 58.0, \"share_within_group\": 2.392739273927393}, {\"smoker\": \"no\", \"age\": \"53\", \"total_measure\": 56.0, \"share_within_group\": 2.31023102310231}, {\"smoker\": \"no\", \"age\": \"32\", \"total_measure\": 54.0, \"share_within_group\": 2.227722772277228}, {\"smoker\": \"no\", \"age\": \"47\", \"total_measure\": 54.0, \"share_within_group\": 2.227722772277228}, {\"smoker\": \"yes\", \"age\": \"20\", \"total_measure\": 14.0, \"share_within_group\": 2.2222222222222223}, {\"smoker\": \"yes\", \"age\": \"25\", \"total_measure\": 14.0, \"share_within_group\": 2.2222222222222223}, {\"smoker\": \"yes\", \"age\": \"40\", \"total_measure\": 14.0, \"share_within_group\": 2.2222222222222223}, {\"smoker\": \"yes\", \"age\": \"49\", \"total_measure\": 14.0, \"share_within_group\": 2.2222222222222223}, {\"smoker\": \"yes\", \"age\": \"53\", \"total_measure\": 14.0, \"share_within_group\": 2.2222222222222223}, {\"smoker\": \"yes\", \"age\": \"64\", \"total_measure\": 14.0, \"share_within_group\": 2.2222222222222223}, {\"smoker\": \"no\", \"age\": \"18\", \"total_measure\": 52.0, \"share_within_group\": 2.145214521452145}, {\"smoker\": \"no\", \"age\": \"43\", \"total_measure\": 52.0, \"share_within_group\": 2.145214521452145}, {\"smoker\": \"no\", \"age\": \"30\", \"total_measure\": 50.0, \"share_within_group\": 2.062706270627063}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 2.91}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..da0e3e1b3e00da45e560deda331d50b368239798 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:33:01.181452+00:00", + "ended_at": "2026-05-19T15:33:11.865875+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_4e79caaf9658165d", + "problem_id": "v2p_m4_e53928af633f4077", + "dataset_id": "m4", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=smoker, measure_col=children.", + "bindings": { + "group_col": "smoker", + "measure_col": "children", + "item_col": "age", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=26" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_4e79caaf9658165d.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_4e79caaf9658165d", + "api_calls": 0, + "input_tokens": 13788, + "cached_input_tokens": 12032, + "output_tokens": 465, + "total_tokens": 14253, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10677.17, + "sql_execution_elapsed_ms_total": 2.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2a7ee1341c686c913e45dec7552179f492c9b94b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:11.861517+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10677.17, "started_at": "2026-05-19T15:33:01.183523+00:00", "ended_at": "2026-05-19T15:33:11.860734+00:00", "prompt_metrics": {"chars": 5701, "bytes_utf8": 5701, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 565, "bytes_utf8": 565, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13788, "cached_input_tokens": 12032, "output_tokens": 465, "reasoning_output_tokens": 308}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"smoker\\\", \\\"age\\\",\\n SUM(CAST(\\\"children\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"children\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"children\\\" AS REAL))) OVER (PARTITION BY \\\"smoker\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided Within-Group Share of Total template with group_col=\\\"smoker\\\", item_col=\\\"age\\\", and measure_col=\\\"children\\\". CAST is applied because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..16e49892257c15cf7d6853d7296c3a21f40285f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_4e79caaf9658165d", + "api_calls": 0, + "input_tokens": 13788, + "cached_input_tokens": 12032, + "output_tokens": 465, + "total_tokens": 14253, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10677.17, + "sql_execution_elapsed_ms_total": 2.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_4e79caaf9658165d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..39f6960b97450cd8d09f51dd183a89e3e6304f44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=smoker. +Result preview: [{"smoker": "yes", "support": 564}, {"smoker": "no", "support": 2208}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..40057dd947489b6af89882dd5eda27901e61e31a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m4_5038a21866608518 +-- problem_id: v2p_m4_03030989a365d109 +-- realization_mode: agent +-- source_kind: agent +SELECT + "smoker", + COUNT(*) AS support +FROM "m4" +GROUP BY "smoker" +ORDER BY support ASC, "smoker" +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d94436b19d1ef802d04602f25a52597bc442287c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"smoker\",\n COUNT(*) AS support\nFROM \"m4\"\nGROUP BY \"smoker\"\nORDER BY support ASC, \"smoker\"\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"smoker\\\",\\n COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY support ASC, \\\"smoker\\\"\\nLIMIT 16;\", \"columns\": [\"smoker\", \"support\"], \"rows\": [{\"smoker\": \"yes\", \"support\": 564}, {\"smoker\": \"no\", \"support\": 2208}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..46c0894108f9ecf7ab35279ffccea49db7b0458a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:58:57.182118+00:00", + "ended_at": "2026-05-19T15:59:06.126652+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_5038a21866608518", + "problem_id": "v2p_m4_03030989a365d109", + "dataset_id": "m4", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=smoker.", + "bindings": { + "group_col": "smoker", + "top_k": 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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=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_d/m4/sql/v2q_m4_5038a21866608518.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_5038a21866608518", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12672, + "output_tokens": 205, + "total_tokens": 13887, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8940.85, + "sql_execution_elapsed_ms_total": 1.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..35cab7367fcca994c7b1af8301966e7b824e808d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:06.124414+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8940.85, "started_at": "2026-05-19T15:58:57.182818+00:00", "ended_at": "2026-05-19T15:59:06.123691+00:00", "prompt_metrics": {"chars": 5291, "bytes_utf8": 5291, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 321, "bytes_utf8": 321, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13682, "cached_input_tokens": 12672, "output_tokens": 205, "reasoning_output_tokens": 107}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"smoker\\\",\\n COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY support ASC, \\\"smoker\\\"\\nLIMIT 16;\",\"notes\":\"Applied the Low-Support Group Count template with group_col bound to \\\"smoker\\\" and top_k=16 on the single table \\\"m4\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..472cee665ab27730b7f3372f0ca4a4560bf2d510 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_5038a21866608518", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12672, + "output_tokens": 205, + "total_tokens": 13887, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8940.85, + "sql_execution_elapsed_ms_total": 1.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5038a21866608518/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2df86ddf0e2a1572093da5477ee7ad42e76b1d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/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=sex, condition_col=charges. +Result preview: [{"sex": "male", "condition_rate": 0.002844950213371266}, {"sex": "female", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d311d583a7cf618e1a5a1e6d13a6e5bf56f912e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m4_537ae759cba96261 +-- problem_id: v2p_m4_ec76294962da4d3a +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", + AVG(CASE WHEN "charges" = '10096.97' THEN 1 ELSE 0 END) AS condition_rate +FROM "m4" +GROUP BY "sex" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..50f44e8b163bd17c20da0e14493baf2e225aa234 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/query_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 \"sex\",\n AVG(CASE WHEN \"charges\" = '10096.97' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m4\"\nGROUP BY \"sex\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sex\\\",\\n AVG(CASE WHEN \\\"charges\\\" = '10096.97' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"sex\", \"condition_rate\"], \"rows\": [{\"sex\": \"male\", \"condition_rate\": 0.002844950213371266}, {\"sex\": \"female\", \"condition_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.74}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fcfb7f1f4d5d6194d3c382040075478643bf2eb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:54:39.138310+00:00", + "ended_at": "2026-05-19T15:54:47.406627+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_537ae759cba96261", + "problem_id": "v2p_m4_ec76294962da4d3a", + "dataset_id": "m4", + "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=sex, condition_col=charges.", + "bindings": { + "group_col": "sex", + "condition_col": "charges", + "condition_value": "10096.97", + "positive_value": "10096.97", + "negative_value": "10602.385", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=100" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_537ae759cba96261.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_537ae759cba96261", + "api_calls": 0, + "input_tokens": 13740, + "cached_input_tokens": 12672, + "output_tokens": 316, + "total_tokens": 14056, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8261.8, + "sql_execution_elapsed_ms_total": 1.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b9c630d935417d6f8b290a2d16f36fb0907e172a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:54:47.402777+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8261.8, "started_at": "2026-05-19T15:54:39.139524+00:00", "ended_at": "2026-05-19T15:54:47.401355+00:00", "prompt_metrics": {"chars": 5565, "bytes_utf8": 5565, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 387, "bytes_utf8": 387, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13740, "cached_input_tokens": 12672, "output_tokens": 316, "reasoning_output_tokens": 212}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sex\\\",\\n AVG(CASE WHEN \\\"charges\\\" = '10096.97' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col=\\\"sex\\\" and condition_col=\\\"charges\\\", using the bound condition_value as an equality check.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6c64458ef13290739a120bdc80d804aaac7a0d22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_537ae759cba96261", + "api_calls": 0, + "input_tokens": 13740, + "cached_input_tokens": 12672, + "output_tokens": 316, + "total_tokens": 14056, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8261.8, + "sql_execution_elapsed_ms_total": 1.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_537ae759cba96261/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4eb71a4c1bba8432e475760f25370933de2a450a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/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=region. +Result preview: [{"region": "northeast", "support": 658}, {"region": "northwest", "support": 664}, {"region": "southwest", "support": 684}, {"region": "southeast", "support": 766}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..79abb346378880c2422e4a1bbe1e6024ec2973d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m4_54a519f48536f778 +-- problem_id: v2p_m4_24c2b18c46d509e9 +-- realization_mode: agent +-- source_kind: agent +SELECT + "region", + COUNT(*) AS support +FROM "m4" +GROUP BY "region" +ORDER BY support ASC, "region" +LIMIT 13; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..72c55775d538311556677c8948d7e5801ced9bfb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/query_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 \"region\",\n COUNT(*) AS support\nFROM \"m4\"\nGROUP BY \"region\"\nORDER BY support ASC, \"region\"\nLIMIT 13;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"region\\\",\\n COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY support ASC, \\\"region\\\"\\nLIMIT 13;\", \"columns\": [\"region\", \"support\"], \"rows\": [{\"region\": \"northeast\", \"support\": 658}, {\"region\": \"northwest\", \"support\": 664}, {\"region\": \"southwest\", \"support\": 684}, {\"region\": \"southeast\", \"support\": 766}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.57}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9bca423291126980242a2873e64ef084b6134139 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:58:01.067337+00:00", + "ended_at": "2026-05-19T15:58:09.397275+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_54a519f48536f778", + "problem_id": "v2p_m4_24c2b18c46d509e9", + "dataset_id": "m4", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "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=region.", + "bindings": { + "group_col": "region", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=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_d/m4/sql/v2q_m4_54a519f48536f778.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_54a519f48536f778", + "api_calls": 0, + "input_tokens": 13679, + "cached_input_tokens": 12672, + "output_tokens": 166, + "total_tokens": 13845, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8323.79, + "sql_execution_elapsed_ms_total": 1.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..30e93fd75e46c1e69907ccdd70f4d07e05766e2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:58:09.393808+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8323.79, "started_at": "2026-05-19T15:58:01.069008+00:00", "ended_at": "2026-05-19T15:58:09.392836+00:00", "prompt_metrics": {"chars": 5289, "bytes_utf8": 5289, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 305, "bytes_utf8": 305, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13679, "cached_input_tokens": 12672, "output_tokens": 166, "reasoning_output_tokens": 79}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"region\\\",\\n COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY support ASC, \\\"region\\\"\\nLIMIT 13;\",\"notes\":\"Uses the provided Low-Support Group Count template with group_col bound to region and top_k bound to 13.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2b0171e6e5bbbd575455a5a3e42676886ea104a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_54a519f48536f778", + "api_calls": 0, + "input_tokens": 13679, + "cached_input_tokens": 12672, + "output_tokens": 166, + "total_tokens": 13845, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8323.79, + "sql_execution_elapsed_ms_total": 1.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_54a519f48536f778/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..83e6b15f688b360539eefb8d294063bb1f103b9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/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=smoker, measure_col=children. +Result preview: [{"smoker": "no", "total_measure": 2424}, {"smoker": "yes", "total_measure": 630}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6817242139e620dd57e68e946174af1ca8112ee3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m4_5557885644aaef52 +-- problem_id: v2p_m4_01430b664bcd7b2d +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", SUM(CAST("children" AS NUMERIC)) AS total_measure +FROM "m4" +GROUP BY "smoker" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..128bcce9a5f7a55369b65b8e5d89f7700e58fece --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/query_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 \"smoker\", SUM(CAST(\"children\" AS NUMERIC)) AS total_measure\nFROM \"m4\"\nGROUP BY \"smoker\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum.\\nSELECT \\\"smoker\\\", SUM(CAST(\\\"children\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"smoker\", \"total_measure\"], \"rows\": [{\"smoker\": \"no\", \"total_measure\": 2424}, {\"smoker\": \"yes\", \"total_measure\": 630}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.53}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..da0700890b3fac2c60a9d814b08a9070da5e88e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:28:52.167219+00:00", + "ended_at": "2026-05-19T15:29:03.005252+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_5557885644aaef52", + "problem_id": "v2p_m4_01430b664bcd7b2d", + "dataset_id": "m4", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_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=smoker, measure_col=children.", + "bindings": { + "group_col": "smoker", + "measure_col": "children", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "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_d/m4/sql/v2q_m4_5557885644aaef52.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_5557885644aaef52", + "api_calls": 0, + "input_tokens": 13671, + "cached_input_tokens": 12032, + "output_tokens": 336, + "total_tokens": 14007, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10829.58, + "sql_execution_elapsed_ms_total": 2.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fc0d4b1dd36e644d73500e7f569e6b29192457e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:02.999970+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10829.58, "started_at": "2026-05-19T15:28:52.168935+00:00", "ended_at": "2026-05-19T15:29:02.998557+00:00", "prompt_metrics": {"chars": 5299, "bytes_utf8": 5299, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 360, "bytes_utf8": 360, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13671, "cached_input_tokens": 12032, "output_tokens": 336, "reasoning_output_tokens": 237}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum.\\nSELECT \\\"smoker\\\", SUM(CAST(\\\"children\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the provided grouped numeric sum template with group_col=\\\"smoker\\\" and measure_col=\\\"children\\\". Cast \\\"children\\\" to NUMERIC because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1ffbd58b9e07ab409aa07886351aeaf1ee342fa1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_5557885644aaef52", + "api_calls": 0, + "input_tokens": 13671, + "cached_input_tokens": 12032, + "output_tokens": 336, + "total_tokens": 14007, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10829.58, + "sql_execution_elapsed_ms_total": 2.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5557885644aaef52/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e5025f1c3a6716a6e16f23c4c3c99edc096b40d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=children. +Result preview: [{"empirical_cdf_at_threshold": 0.8492063492063492}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..14d2551b5c4b23ecb4143ba9e804379b5aa87b74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/generated_sql.sql @@ -0,0 +1,15 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_threshold_rarity_cdf +-- query_record_id: v2q_m4_569d9d5212cdb55e +-- problem_id: v2p_m4_6a26a94d58e4726e +-- realization_mode: agent +-- source_kind: agent +SELECT AVG(CASE WHEN CAST("children" AS REAL) <= 2.0 THEN 1 ELSE 0 END) AS "empirical_cdf_at_threshold" +FROM "m4"; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5aff875159120a1e0a9030643cde792c1d9d8b0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"children\" AS REAL) <= 2.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m4\";", "result": "{\"query\": \"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"children\\\" AS REAL) <= 2.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m4\\\";\", \"columns\": [\"empirical_cdf_at_threshold\"], \"rows\": [{\"empirical_cdf_at_threshold\": 0.8492063492063492}], \"row_count_returned\": 1, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.42}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..873db1b9f2ac4275b39984564c86fb64a76f0c78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:56:13.045781+00:00", + "ended_at": "2026-05-19T15:56:20.383713+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_569d9d5212cdb55e", + "problem_id": "v2p_m4_6a26a94d58e4726e", + "dataset_id": "m4", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=children.", + "bindings": { + "measure_col": "children", + "top_k": 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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=110" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_569d9d5212cdb55e.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_569d9d5212cdb55e", + "api_calls": 0, + "input_tokens": 13660, + "cached_input_tokens": 12032, + "output_tokens": 224, + "total_tokens": 13884, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7331.08, + "sql_execution_elapsed_ms_total": 1.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..55fcdbc1cf6c8095a4d11ad09d09f7e28f08621b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_569d9d5212cdb55e", + "api_calls": 0, + "input_tokens": 13660, + "cached_input_tokens": 12032, + "output_tokens": 224, + "total_tokens": 13884, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7331.08, + "sql_execution_elapsed_ms_total": 1.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_569d9d5212cdb55e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..83e6b15f688b360539eefb8d294063bb1f103b9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/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=smoker, measure_col=children. +Result preview: [{"smoker": "no", "total_measure": 2424}, {"smoker": "yes", "total_measure": 630}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3dc4b7f017d88cac24d28e2c5aa99da291553fed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m4_584cc2e6e5cfdf31 +-- problem_id: v2p_m4_ce6397272892cf4f +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", SUM(CAST("children" AS INTEGER)) AS total_measure +FROM "m4" +GROUP BY "smoker" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ab98598df08fb4be63ecb48633c5a1c1e791f281 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/query_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 \"smoker\", SUM(CAST(\"children\" AS INTEGER)) AS total_measure\nFROM \"m4\"\nGROUP BY \"smoker\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"smoker\\\", SUM(CAST(\\\"children\\\" AS INTEGER)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"smoker\", \"total_measure\"], \"rows\": [{\"smoker\": \"no\", \"total_measure\": 2424}, {\"smoker\": \"yes\", \"total_measure\": 630}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.61}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..76a09d072031ed02551a57f8cf152d95b31edad6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:29:03.006337+00:00", + "ended_at": "2026-05-19T15:29:11.128433+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_584cc2e6e5cfdf31", + "problem_id": "v2p_m4_ce6397272892cf4f", + "dataset_id": "m4", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_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=smoker, measure_col=children.", + "bindings": { + "group_col": "smoker", + "measure_col": "children", + "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": 1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=2" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_584cc2e6e5cfdf31.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_584cc2e6e5cfdf31", + "api_calls": 0, + "input_tokens": 13671, + "cached_input_tokens": 12032, + "output_tokens": 238, + "total_tokens": 13909, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8113.49, + "sql_execution_elapsed_ms_total": 2.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..50fda5c946b6e7fc821f04495581241bdad4dda2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:11.122881+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8113.49, "started_at": "2026-05-19T15:29:03.007851+00:00", "ended_at": "2026-05-19T15:29:11.121384+00:00", "prompt_metrics": {"chars": 5300, "bytes_utf8": 5300, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 374, "bytes_utf8": 374, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13671, "cached_input_tokens": 12032, "output_tokens": 238, "reasoning_output_tokens": 141}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"smoker\\\", SUM(CAST(\\\"children\\\" AS INTEGER)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required grouped numeric sum template with group_col=\\\"smoker\\\" and measure_col=\\\"children\\\". Cast \\\"children\\\" from TEXT to INTEGER for correct numeric aggregation in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7ac9670884cff17ff66f808608a02e7da7096aa0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_584cc2e6e5cfdf31", + "api_calls": 0, + "input_tokens": 13671, + "cached_input_tokens": 12032, + "output_tokens": 238, + "total_tokens": 13909, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8113.49, + "sql_execution_elapsed_ms_total": 2.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_584cc2e6e5cfdf31/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..037743a0dfe14464b09c8460824f9c75452f0ea4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=sex, group_col_2=region. +Result preview: [{"sex": "male", "region": "southeast", "row_count": 402}, {"sex": "male", "region": "southwest", "row_count": 344}, {"sex": "male", "region": "northeast", "row_count": 334}, {"sex": "male", "region": "northwest", "row_count": 326}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5217dd41a17ca984f9b9713cf7b1b1a4706701fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m4_5852f2d4fb7a839c +-- problem_id: v2p_m4_2280095990c53adf +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "region", COUNT(*) AS "row_count" +FROM "m4" +WHERE "sex" = 'male' +GROUP BY "sex", "region" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d9846aa7339c458a35760236b491b97203cb2a72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"sex\", \"region\", COUNT(*) AS \"row_count\"\nFROM \"m4\"\nWHERE \"sex\" = 'male'\nGROUP BY \"sex\", \"region\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"sex\\\", \\\"region\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m4\\\"\\nWHERE \\\"sex\\\" = 'male'\\nGROUP BY \\\"sex\\\", \\\"region\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"sex\", \"region\", \"row_count\"], \"rows\": [{\"sex\": \"male\", \"region\": \"southeast\", \"row_count\": 402}, {\"sex\": \"male\", \"region\": \"southwest\", \"row_count\": 344}, {\"sex\": \"male\", \"region\": \"northeast\", \"row_count\": 334}, {\"sex\": \"male\", \"region\": \"northwest\", \"row_count\": 326}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e0ae0d5703350e7033a3505dab6a64f44d4ea49b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:38:41.622407+00:00", + "ended_at": "2026-05-19T15:38:50.219559+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_5852f2d4fb7a839c", + "problem_id": "v2p_m4_2280095990c53adf", + "dataset_id": "m4", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=sex, group_col_2=region.", + "bindings": { + "group_col": "sex", + "group_col_2": "region", + "predicate_col": "sex", + "predicate_op": "=", + "predicate_value": "male", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=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_d/m4/sql/v2q_m4_5852f2d4fb7a839c.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_5852f2d4fb7a839c", + "api_calls": 0, + "input_tokens": 13760, + "cached_input_tokens": 12032, + "output_tokens": 328, + "total_tokens": 14088, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8591.41, + "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_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5861fbcc3208eb638a5946fb019b1937211cfc18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:50.216965+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8591.41, "started_at": "2026-05-19T15:38:41.624010+00:00", "ended_at": "2026-05-19T15:38:50.215454+00:00", "prompt_metrics": {"chars": 5596, "bytes_utf8": 5596, "lines": 184, "estimated_tokens": null}, "response_metrics": {"chars": 349, "bytes_utf8": 349, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13760, "cached_input_tokens": 12032, "output_tokens": 328, "reasoning_output_tokens": 225}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"sex\\\", \\\"region\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m4\\\"\\nWHERE \\\"sex\\\" = 'male'\\nGROUP BY \\\"sex\\\", \\\"region\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the specified filtered two-dimensional group count template with group_col=sex, group_col_2=region, and predicate sex='male'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..43acb6214332786f887b23f754ac653408496891 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_5852f2d4fb7a839c", + "api_calls": 0, + "input_tokens": 13760, + "cached_input_tokens": 12032, + "output_tokens": 328, + "total_tokens": 14088, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8591.41, + "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_d/m4/artifacts/v2q_m4_5852f2d4fb7a839c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0003ac7f256055b8d781c1c1e0bebcf094c363d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/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=region, condition_col=smoker. +Result preview: [{"region": "southeast", "condition_rate": 0.2506527415143603}, {"region": "northeast", "condition_rate": 0.2066869300911854}, {"region": "northwest", "condition_rate": 0.17771084337349397}, {"region": "southwest", "condition_rate": 0.17251461988304093}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b8cd738d9113e7c1d2a89d2f410b99ef8360331d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m4_5adeb8c354bd3e36 +-- problem_id: v2p_m4_253b4f4ff1aa78fa +-- realization_mode: agent +-- source_kind: agent +SELECT "region", + AVG(CASE WHEN "smoker" = 'yes' THEN 1.0 ELSE 0.0 END) AS "condition_rate" +FROM "m4" +GROUP BY "region" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1c391d0596f18775a42b1b6729e93a9237adaf69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/query_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 \"region\",\n AVG(CASE WHEN \"smoker\" = 'yes' THEN 1.0 ELSE 0.0 END) AS \"condition_rate\"\nFROM \"m4\"\nGROUP BY \"region\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"region\\\",\\n AVG(CASE WHEN \\\"smoker\\\" = 'yes' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"region\", \"condition_rate\"], \"rows\": [{\"region\": \"southeast\", \"condition_rate\": 0.2506527415143603}, {\"region\": \"northeast\", \"condition_rate\": 0.2066869300911854}, {\"region\": \"northwest\", \"condition_rate\": 0.17771084337349397}, {\"region\": \"southwest\", \"condition_rate\": 0.17251461988304093}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.43}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..93225c61aa73381bd5e38bf9ecbff6b1e7a31259 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:55:46.593909+00:00", + "ended_at": "2026-05-19T15:55:58.352774+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_5adeb8c354bd3e36", + "problem_id": "v2p_m4_253b4f4ff1aa78fa", + "dataset_id": "m4", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "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=region, condition_col=smoker.", + "bindings": { + "group_col": "region", + "condition_col": "smoker", + "condition_value": "yes", + "positive_value": "no", + "negative_value": "yes", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=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_d/m4/sql/v2q_m4_5adeb8c354bd3e36.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_5adeb8c354bd3e36", + "api_calls": 0, + "input_tokens": 13733, + "cached_input_tokens": 12672, + "output_tokens": 454, + "total_tokens": 14187, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11754.34, + "sql_execution_elapsed_ms_total": 1.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1f43518c9e24d217b5dce760252de5d273228214 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:55:58.350001+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11754.34, "started_at": "2026-05-19T15:55:46.594880+00:00", "ended_at": "2026-05-19T15:55:58.349245+00:00", "prompt_metrics": {"chars": 5545, "bytes_utf8": 5545, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 346, "bytes_utf8": 346, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13733, "cached_input_tokens": 12672, "output_tokens": 454, "reasoning_output_tokens": 354}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"region\\\",\\n AVG(CASE WHEN \\\"smoker\\\" = 'yes' THEN 1.0 ELSE 0.0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Computes the within-region proportion of rows where smoker='yes' using the grouped condition-rate template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fb984c53da50be75ecff0ca59ea5ce468b18dcee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_5adeb8c354bd3e36", + "api_calls": 0, + "input_tokens": 13733, + "cached_input_tokens": 12672, + "output_tokens": 454, + "total_tokens": 14187, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11754.34, + "sql_execution_elapsed_ms_total": 1.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5adeb8c354bd3e36/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..799b812264ffd9b7ae88e70fd047199b9b020482 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5465, "bytes_utf8": 5465, "lines": 178, "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": 477, "bytes_utf8": 477, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13724, "cached_input_tokens": 12032, "output_tokens": 490, "reasoning_output_tokens": 354}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3444a9f488a5148d78dd5afd816ff543dbfbe322 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_5b8498a385fc40ad", + "api_calls": 0, + "input_tokens": 13724, + "cached_input_tokens": 12032, + "output_tokens": 490, + "total_tokens": 14214, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14709.48, + "sql_execution_elapsed_ms_total": 9.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7119939408a1844860337e0872010fd42c8dba99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/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": "2026-05-19T15:39:46.231548+00:00", + "ended_at": "2026-05-19T15:40:00.941064+00:00", + "elapsed_ms": 14709.48, + "prompt_metrics": { + "chars": 5465, + "bytes_utf8": 5465, + "lines": 178, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 844, + "bytes_utf8": 844, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 477, + "bytes_utf8": 477, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13724, + "cached_input_tokens": 12032, + "output_tokens": 490, + "reasoning_output_tokens": 354 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..68dfba72e3862fda41c320dbcc0af9130ed73924 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "age", + "top_k": 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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..21e6441c5274b03d01319debbb662542d9c8b99d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"age\" AS REAL) AS \"age\",\n NTILE(10) OVER (ORDER BY CAST(\"age\" AS REAL) DESC) AS tail_bucket\n FROM \"m4\"\n)\nSELECT \"age\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY \"age\" DESC;","notes":"Used the provided Quantile Tail Slice template with measure_col bound to \"age\" and num_tiles=10. \"age\" 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_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e339ea750d027981456462a9cf59f36d7453848 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age. +Result preview: [{"age": 64.0}, {"age": 64.0}, {"age": 64.0}, {"age": 64.0}, {"age": 64.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..be53e2c1909af7aeb8858480c470817bfec3ee1f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m4_5b8498a385fc40ad +-- problem_id: v2p_m4_726bae56d7769d4b +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("age" AS REAL) AS "age", + NTILE(10) OVER (ORDER BY CAST("age" AS REAL) DESC) AS tail_bucket + FROM "m4" +) +SELECT "age" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY "age" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..534f2d6b1a3cbea603026515df9052f9138f6305 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"age\" AS REAL) AS \"age\",\n NTILE(10) OVER (ORDER BY CAST(\"age\" AS REAL) DESC) AS tail_bucket\n FROM \"m4\"\n)\nSELECT \"age\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY \"age\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"age\\\" AS REAL) AS \\\"age\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"age\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m4\\\"\\n)\\nSELECT \\\"age\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY \\\"age\\\" DESC;\", \"columns\": [\"age\"], \"rows\": [{\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 64.0}, {\"age\": 63.0}, {\"age\": 63.0}, {\"age\": 63.0}, {\"age\": 63.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 9.67}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7b4d1e40756a8fbd978c89d32abb88ff0e40b2cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:39:46.230120+00:00", + "ended_at": "2026-05-19T15:40:00.955036+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_5b8498a385fc40ad", + "problem_id": "v2p_m4_726bae56d7769d4b", + "dataset_id": "m4", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age.", + "bindings": { + "measure_col": "age", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "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_d/m4/sql/v2q_m4_5b8498a385fc40ad.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_5b8498a385fc40ad", + "api_calls": 0, + "input_tokens": 13724, + "cached_input_tokens": 12032, + "output_tokens": 490, + "total_tokens": 14214, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14709.48, + "sql_execution_elapsed_ms_total": 9.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e060e5596b6c486bc67e76d5be8034d5c4e8a36c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:00.942556+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14709.48, "started_at": "2026-05-19T15:39:46.231548+00:00", "ended_at": "2026-05-19T15:40:00.941064+00:00", "prompt_metrics": {"chars": 5465, "bytes_utf8": 5465, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 477, "bytes_utf8": 477, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13724, "cached_input_tokens": 12032, "output_tokens": 490, "reasoning_output_tokens": 354}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"age\\\" AS REAL) AS \\\"age\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"age\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m4\\\"\\n)\\nSELECT \\\"age\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY \\\"age\\\" DESC;\",\"notes\":\"Used the provided Quantile Tail Slice template with measure_col bound to \\\"age\\\" and num_tiles=10. \\\"age\\\" is cast to REAL because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3e25c6daa8916b794a0f7bc9c1367e6335def181 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_5b8498a385fc40ad", + "api_calls": 0, + "input_tokens": 13724, + "cached_input_tokens": 12032, + "output_tokens": 490, + "total_tokens": 14214, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14709.48, + "sql_execution_elapsed_ms_total": 9.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_5b8498a385fc40ad/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cbd805acae524f90176ec03a6018501e484c601f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5549, "bytes_utf8": 5549, "lines": 183, "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": 5549, "bytes_utf8": 5549, "lines": 183, "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": 479, "bytes_utf8": 479, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13735, "cached_input_tokens": 12672, "output_tokens": 289, "reasoning_output_tokens": 167}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d4ab02e834a80c5c26770bc431f56ba801d9f978 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_6217c6c66c28cf54", + "api_calls": 0, + "input_tokens": 13735, + "cached_input_tokens": 12672, + "output_tokens": 289, + "total_tokens": 14024, + "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": 10813.64, + "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_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..292581e16cc8fb7e9056daf49a7ae4eee386d6d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:00.471980+00:00", + "ended_at": "2026-05-19T15:54:03.620387+00:00", + "elapsed_ms": 3148.35, + "returncode": 1, + "prompt_metrics": { + "chars": 5549, + "bytes_utf8": 5549, + "lines": 183, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f72d58a761c3e2c6562bee222524c53e6a2f0ad6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:04.622367+00:00", + "ended_at": "2026-05-19T15:54:12.287745+00:00", + "elapsed_ms": 7665.29, + "prompt_metrics": { + "chars": 5549, + "bytes_utf8": 5549, + "lines": 183, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 834, + "bytes_utf8": 834, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 479, + "bytes_utf8": 479, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13735, + "cached_input_tokens": 12672, + "output_tokens": 289, + "reasoning_output_tokens": 167 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d678777c75a0bc6833c49a83773a6ff5a638bdf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,183 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=smoker, condition_col=smoker.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "smoker", + "condition_col": "smoker", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d678777c75a0bc6833c49a83773a6ff5a638bdf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,183 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=smoker, condition_col=smoker.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "smoker", + "condition_col": "smoker", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c3a9556939f07f23d540c99739c23322ac2a72f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-aca7-7f83-b0cd-b81c7d29a247"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b0522c33958e4d97d36970d1daabaf80345e312a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-aca7-7f83-b0cd-b81c7d29a247"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3195f9bb129fba05be197be0f6d1b0ad8d337fc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-bce6-76d1-9975-45ba7ef63c7c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"smoker\\\",\\n AVG(CASE WHEN \\\"smoker\\\" = 'no' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col=\\\"smoker\\\" and condition_col=\\\"smoker\\\" using condition_value='no'. Because the grouping column and condition column are the same, the resulting rate is deterministic within each group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13735,"cached_input_tokens":12672,"output_tokens":289,"reasoning_output_tokens":167}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..049a361c85d3746ba6e1439ca6b742a5840c1233 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"smoker\",\n AVG(CASE WHEN \"smoker\" = 'no' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m4\"\nGROUP BY \"smoker\"\nORDER BY condition_rate DESC;","notes":"Applied the provided Grouped Condition Rate template with group_col=\"smoker\" and condition_col=\"smoker\" using condition_value='no'. Because the grouping column and condition column are the same, the resulting rate is deterministic within each group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3a39743d987df1748db58d221d9916b25bbd69bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/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=smoker, condition_col=smoker. +Result preview: [{"smoker": "no", "condition_rate": 1.0}, {"smoker": "yes", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b535303fc158b74c5387437a22c69263e25fa3e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m4_6217c6c66c28cf54 +-- problem_id: v2p_m4_70c485b3ff2e0212 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", + AVG(CASE WHEN "smoker" = 'no' THEN 1 ELSE 0 END) AS condition_rate +FROM "m4" +GROUP BY "smoker" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9bde39c36a189801a29a6db4d9bc102dec77ea32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/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 \"smoker\",\n AVG(CASE WHEN \"smoker\" = 'no' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m4\"\nGROUP BY \"smoker\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"smoker\\\",\\n AVG(CASE WHEN \\\"smoker\\\" = 'no' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"smoker\", \"condition_rate\"], \"rows\": [{\"smoker\": \"no\", \"condition_rate\": 1.0}, {\"smoker\": \"yes\", \"condition_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.44}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8fa3ddce76a6784c66cd1bef7ab7e8b610920156 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:54:00.469945+00:00", + "ended_at": "2026-05-19T15:54:12.291867+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_6217c6c66c28cf54", + "problem_id": "v2p_m4_70c485b3ff2e0212", + "dataset_id": "m4", + "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=smoker, condition_col=smoker.", + "bindings": { + "group_col": "smoker", + "condition_col": "smoker", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/2", + "binding_index=98" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_6217c6c66c28cf54.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_6217c6c66c28cf54", + "api_calls": 0, + "input_tokens": 13735, + "cached_input_tokens": 12672, + "output_tokens": 289, + "total_tokens": 14024, + "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": 10813.64, + "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_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c1ed39073747db4041bc4e6d79a9276b3048ecab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:54:03.621090+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": 3148.35, "started_at": "2026-05-19T15:54:00.471980+00:00", "ended_at": "2026-05-19T15:54:03.620387+00:00", "prompt_metrics": {"chars": 5549, "bytes_utf8": 5549, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f1-aca7-7f83-b0cd-b81c7d29a247\"}\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": "2026-05-19T15:54:12.288817+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": 7665.29, "started_at": "2026-05-19T15:54:04.622367+00:00", "ended_at": "2026-05-19T15:54:12.287745+00:00", "prompt_metrics": {"chars": 5549, "bytes_utf8": 5549, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 479, "bytes_utf8": 479, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13735, "cached_input_tokens": 12672, "output_tokens": 289, "reasoning_output_tokens": 167}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"smoker\\\",\\n AVG(CASE WHEN \\\"smoker\\\" = 'no' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the provided Grouped Condition Rate template with group_col=\\\"smoker\\\" and condition_col=\\\"smoker\\\" using condition_value='no'. Because the grouping column and condition column are the same, the resulting rate is deterministic within each group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bb7cc1b3984e9cf7d0a45e2613d57008962307d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_6217c6c66c28cf54", + "api_calls": 0, + "input_tokens": 13735, + "cached_input_tokens": 12672, + "output_tokens": 289, + "total_tokens": 14024, + "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": 10813.64, + "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_d/m4/artifacts/v2q_m4_6217c6c66c28cf54/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..74359342a971610345493e66213eb1ec602f49f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=sex, measure_col=bmi. +Result preview: [{"sex": "male", "group_value": 43530.65}, {"sex": "female", "group_value": 41573.49}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0978bb62fd57d1efb3feca2e7c837874dbc1fa9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m4_647edd7ef31083a1 +-- problem_id: v2p_m4_8729d64e0b80bded +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "sex", SUM(CAST("bmi" AS REAL)) AS group_value + FROM "m4" + GROUP BY "sex" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."sex", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..01714d91844c54f9cbd711ce62e7bf985390443a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"sex\", SUM(CAST(\"bmi\" AS REAL)) AS group_value\n FROM \"m4\"\n GROUP BY \"sex\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"sex\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"sex\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"sex\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"sex\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\", \"columns\": [\"sex\", \"group_value\"], \"rows\": [{\"sex\": \"male\", \"group_value\": 43530.65}, {\"sex\": \"female\", \"group_value\": 41573.49}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.5}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..216ee8a6df6a4b4ac9e887ea869bdda24a91364c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:43:07.312672+00:00", + "ended_at": "2026-05-19T15:43:25.051447+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_647edd7ef31083a1", + "problem_id": "v2p_m4_8729d64e0b80bded", + "dataset_id": "m4", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=sex, measure_col=bmi.", + "bindings": { + "group_col": "sex", + "measure_col": "bmi", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "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_d/m4/sql/v2q_m4_647edd7ef31083a1.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_647edd7ef31083a1", + "api_calls": 0, + "input_tokens": 13806, + "cached_input_tokens": 12672, + "output_tokens": 470, + "total_tokens": 14276, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17733.08, + "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_d/m4/artifacts/v2q_m4_647edd7ef31083a1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5318725ca1a6cb141fc8e84edc7196745538cd33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:25.048627+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17733.08, "started_at": "2026-05-19T15:43:07.314714+00:00", "ended_at": "2026-05-19T15:43:25.047835+00:00", "prompt_metrics": {"chars": 5839, "bytes_utf8": 5839, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 582, "bytes_utf8": 582, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13806, "cached_input_tokens": 12672, "output_tokens": 470, "reasoning_output_tokens": 307}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"sex\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"sex\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"sex\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the Relative-to-Total Extreme Threshold template with group_col=\\\"sex\\\" and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9609260066e045e52d54ee14e27e4d304200b9ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_647edd7ef31083a1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_647edd7ef31083a1", + "api_calls": 0, + "input_tokens": 13806, + "cached_input_tokens": 12672, + "output_tokens": 470, + "total_tokens": 14276, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17733.08, + "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_d/m4/artifacts/v2q_m4_647edd7ef31083a1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1db75bc4759cd808ccf24ae94300fd1c5c5571a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=sex. +Result preview: [{"sex": "male", "row_count": 1406}, {"sex": "female", "row_count": 1366}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e32b56a56c08575ace19b4f86b46a377fd1e97c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m4_663bf9918255e925 +-- problem_id: v2p_m4_ee16dfc13c2e1db2 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", COUNT(*) AS row_count +FROM "m4" +GROUP BY "sex" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8088c524d302294734599a4dc55c6113421d4462 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_clickbench_group_count\nSELECT \"sex\", COUNT(*) AS row_count\nFROM \"m4\"\nGROUP BY \"sex\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"sex\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"sex\", \"row_count\"], \"rows\": [{\"sex\": \"male\", \"row_count\": 1406}, {\"sex\": \"female\", \"row_count\": 1366}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.13}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0d57751eb79635753e6c4c00275ef172b1797589 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:31:11.221464+00:00", + "ended_at": "2026-05-19T15:31:18.619061+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_663bf9918255e925", + "problem_id": "v2p_m4_ee16dfc13c2e1db2", + "dataset_id": "m4", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=sex.", + "bindings": { + "group_col": "sex", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "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_d/m4/sql/v2q_m4_663bf9918255e925.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_663bf9918255e925", + "api_calls": 0, + "input_tokens": 13644, + "cached_input_tokens": 12032, + "output_tokens": 215, + "total_tokens": 13859, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7393.6, + "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_d/m4/artifacts/v2q_m4_663bf9918255e925/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f547489dc86a037b0672496ee6ae7a76073f8295 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:18.616763+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7393.6, "started_at": "2026-05-19T15:31:11.222436+00:00", "ended_at": "2026-05-19T15:31:18.616060+00:00", "prompt_metrics": {"chars": 5205, "bytes_utf8": 5205, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 274, "bytes_utf8": 274, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13644, "cached_input_tokens": 12032, "output_tokens": 215, "reasoning_output_tokens": 138}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"sex\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided Grouped Count by Category template with group_col bound to \\\"sex\\\" on the single table \\\"m4\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d4382f47cfab99000c8203f4020b193b5f9473f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_663bf9918255e925/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_663bf9918255e925", + "api_calls": 0, + "input_tokens": 13644, + "cached_input_tokens": 12032, + "output_tokens": 215, + "total_tokens": 13859, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7393.6, + "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_d/m4/artifacts/v2q_m4_663bf9918255e925/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..95141f6687df766649173ec8f0129c3ed81b6aaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/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=sex, measure_col=bmi. +Result preview: [{"sex": "male", "percentile_measure": 41.47}, {"sex": "female", "percentile_measure": 40.565}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0d47d3e5bfb967ce9091581ac3005865301319d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/generated_sql.sql @@ -0,0 +1,56 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m4_6993f95ebc78a83a +-- problem_id: v2p_m4_8b50d5fe0047d330 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "sex" AS "group_col", + CAST("bmi" AS REAL) AS "measure", + ROW_NUMBER() OVER ( + PARTITION BY "sex" + ORDER BY CAST("bmi" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "sex") AS "n" + FROM "m4" + WHERE "sex" IS NOT NULL + AND "bmi" IS NOT NULL +), +"positions" AS ( + SELECT DISTINCT + "group_col", + "n", + (1.0 + ("n" - 1) * 0.95) AS "pos", + CAST((1.0 + ("n" - 1) * 0.95) AS INTEGER) AS "lo", + CAST((1.0 + ("n" - 1) * 0.95) AS INTEGER) + + CASE + WHEN (1.0 + ("n" - 1) * 0.95) > CAST((1.0 + ("n" - 1) * 0.95) AS INTEGER) THEN 1 + ELSE 0 + END AS "hi" + FROM "ordered" +) +SELECT + "p"."group_col" AS "sex", + CASE + WHEN "p"."lo" = "p"."hi" THEN + MAX(CASE WHEN "o"."rn" = "p"."lo" THEN "o"."measure" END) + ELSE + MAX(CASE WHEN "o"."rn" = "p"."lo" THEN "o"."measure" END) + + ("p"."pos" - "p"."lo") * ( + MAX(CASE WHEN "o"."rn" = "p"."hi" THEN "o"."measure" END) - + MAX(CASE WHEN "o"."rn" = "p"."lo" THEN "o"."measure" END) + ) + END AS "percentile_measure" +FROM "positions" AS "p" +JOIN "ordered" AS "o" + ON "o"."group_col" = "p"."group_col" +GROUP BY "p"."group_col", "p"."n", "p"."pos", "p"."lo", "p"."hi" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ba518e7087fa35b68a11a31b5b3607796a25c7fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/query_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 \"sex\" AS \"group_col\",\n CAST(\"bmi\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"sex\"\n ORDER BY CAST(\"bmi\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"sex\") AS \"n\"\n FROM \"m4\"\n WHERE \"sex\" IS NOT NULL\n AND \"bmi\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"group_col\",\n \"n\",\n (1.0 + (\"n\" - 1) * 0.95) AS \"pos\",\n CAST((1.0 + (\"n\" - 1) * 0.95) AS INTEGER) AS \"lo\",\n CAST((1.0 + (\"n\" - 1) * 0.95) AS INTEGER) +\n CASE\n WHEN (1.0 + (\"n\" - 1) * 0.95) > CAST((1.0 + (\"n\" - 1) * 0.95) AS INTEGER) THEN 1\n ELSE 0\n END AS \"hi\"\n FROM \"ordered\"\n)\nSELECT\n \"p\".\"group_col\" AS \"sex\",\n CASE\n WHEN \"p\".\"lo\" = \"p\".\"hi\" THEN\n MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"lo\" THEN \"o\".\"measure\" END)\n ELSE\n MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"lo\" THEN \"o\".\"measure\" END) +\n (\"p\".\"pos\" - \"p\".\"lo\") * (\n MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"hi\" THEN \"o\".\"measure\" END) -\n MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"lo\" THEN \"o\".\"measure\" END)\n )\n END AS \"percentile_measure\"\nFROM \"positions\" AS \"p\"\nJOIN \"ordered\" AS \"o\"\n ON \"o\".\"group_col\" = \"p\".\"group_col\"\nGROUP BY \"p\".\"group_col\", \"p\".\"n\", \"p\".\"pos\", \"p\".\"lo\", \"p\".\"hi\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"sex\\\" AS \\\"group_col\\\",\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"sex\\\"\\n ORDER BY CAST(\\\"bmi\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"sex\\\") AS \\\"n\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"sex\\\" IS NOT NULL\\n AND \\\"bmi\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n \\\"n\\\",\\n (1.0 + (\\\"n\\\" - 1) * 0.95) AS \\\"pos\\\",\\n CAST((1.0 + (\\\"n\\\" - 1) * 0.95) AS INTEGER) AS \\\"lo\\\",\\n CAST((1.0 + (\\\"n\\\" - 1) * 0.95) AS INTEGER) +\\n CASE\\n WHEN (1.0 + (\\\"n\\\" - 1) * 0.95) > CAST((1.0 + (\\\"n\\\" - 1) * 0.95) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"hi\\\"\\n FROM \\\"ordered\\\"\\n)\\nSELECT\\n \\\"p\\\".\\\"group_col\\\" AS \\\"sex\\\",\\n CASE\\n WHEN \\\"p\\\".\\\"lo\\\" = \\\"p\\\".\\\"hi\\\" THEN\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"lo\\\" THEN \\\"o\\\".\\\"measure\\\" END)\\n ELSE\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"lo\\\" THEN \\\"o\\\".\\\"measure\\\" END) +\\n (\\\"p\\\".\\\"pos\\\" - \\\"p\\\".\\\"lo\\\") * (\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"hi\\\" THEN \\\"o\\\".\\\"measure\\\" END) -\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"lo\\\" THEN \\\"o\\\".\\\"measure\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"positions\\\" AS \\\"p\\\"\\nJOIN \\\"ordered\\\" AS \\\"o\\\"\\n ON \\\"o\\\".\\\"group_col\\\" = \\\"p\\\".\\\"group_col\\\"\\nGROUP BY \\\"p\\\".\\\"group_col\\\", \\\"p\\\".\\\"n\\\", \\\"p\\\".\\\"pos\\\", \\\"p\\\".\\\"lo\\\", \\\"p\\\".\\\"hi\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"sex\", \"percentile_measure\"], \"rows\": [{\"sex\": \"male\", \"percentile_measure\": 41.47}, {\"sex\": \"female\", \"percentile_measure\": 40.565}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 11.89}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5a82c58d360a0b24d1c21fbadaedbd7a01397858 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:49:39.366955+00:00", + "ended_at": "2026-05-19T15:50:12.824261+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_6993f95ebc78a83a", + "problem_id": "v2p_m4_8b50d5fe0047d330", + "dataset_id": "m4", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=sex, measure_col=bmi.", + "bindings": { + "group_col": "sex", + "measure_col": "bmi", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=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_d/m4/sql/v2q_m4_6993f95ebc78a83a.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_6993f95ebc78a83a", + "api_calls": 0, + "input_tokens": 13708, + "cached_input_tokens": 12032, + "output_tokens": 2310, + "total_tokens": 16018, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 33441.46, + "sql_execution_elapsed_ms_total": 11.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..75d64935244681f83847b318d22830dfb628ecbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:12.810475+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 33441.46, "started_at": "2026-05-19T15:49:39.367930+00:00", "ended_at": "2026-05-19T15:50:12.809428+00:00", "prompt_metrics": {"chars": 5464, "bytes_utf8": 5464, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 1808, "bytes_utf8": 1808, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13708, "cached_input_tokens": 12032, "output_tokens": 2310, "reasoning_output_tokens": 1679}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"sex\\\" AS \\\"group_col\\\",\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"sex\\\"\\n ORDER BY CAST(\\\"bmi\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"sex\\\") AS \\\"n\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"sex\\\" IS NOT NULL\\n AND \\\"bmi\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n \\\"n\\\",\\n (1.0 + (\\\"n\\\" - 1) * 0.95) AS \\\"pos\\\",\\n CAST((1.0 + (\\\"n\\\" - 1) * 0.95) AS INTEGER) AS \\\"lo\\\",\\n CAST((1.0 + (\\\"n\\\" - 1) * 0.95) AS INTEGER) +\\n CASE\\n WHEN (1.0 + (\\\"n\\\" - 1) * 0.95) > CAST((1.0 + (\\\"n\\\" - 1) * 0.95) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"hi\\\"\\n FROM \\\"ordered\\\"\\n)\\nSELECT\\n \\\"p\\\".\\\"group_col\\\" AS \\\"sex\\\",\\n CASE\\n WHEN \\\"p\\\".\\\"lo\\\" = \\\"p\\\".\\\"hi\\\" THEN\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"lo\\\" THEN \\\"o\\\".\\\"measure\\\" END)\\n ELSE\\n MAX(CASE WHEN \\\"o\\\".\\\"r"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..44bb383d3d5f717f90483eb26548af972c4757d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_6993f95ebc78a83a", + "api_calls": 0, + "input_tokens": 13708, + "cached_input_tokens": 12032, + "output_tokens": 2310, + "total_tokens": 16018, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 33441.46, + "sql_execution_elapsed_ms_total": 11.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6993f95ebc78a83a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bcf9a758eef4d6f5fa4cdf038ff32ffb2ac2f95b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/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=smoker, group_col_2=region. +Result preview: [{"smoker": "yes", "region": "southeast", "row_count": 192}, {"smoker": "yes", "region": "northeast", "row_count": 136}, {"smoker": "yes", "region": "northwest", "row_count": 118}, {"smoker": "yes", "region": "southwest", "row_count": 118}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9990f625c7b6c3f5783f1f258916608e40aa8220 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m4_69a17486e46af910 +-- problem_id: v2p_m4_d7959f50dae29074 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", "region", COUNT(*) AS row_count +FROM "m4" +WHERE "smoker" = 'yes' +GROUP BY "smoker", "region" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b19e04cb1f561913546906fd83acbf592f584e6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/query_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 \"smoker\", \"region\", COUNT(*) AS row_count\nFROM \"m4\"\nWHERE \"smoker\" = 'yes'\nGROUP BY \"smoker\", \"region\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"smoker\\\", \\\"region\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nWHERE \\\"smoker\\\" = 'yes'\\nGROUP BY \\\"smoker\\\", \\\"region\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"smoker\", \"region\", \"row_count\"], \"rows\": [{\"smoker\": \"yes\", \"region\": \"southeast\", \"row_count\": 192}, {\"smoker\": \"yes\", \"region\": \"northeast\", \"row_count\": 136}, {\"smoker\": \"yes\", \"region\": \"northwest\", \"row_count\": 118}, {\"smoker\": \"yes\", \"region\": \"southwest\", \"row_count\": 118}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 0.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b5ec72d25602b07e03800ef66c826e3575c593b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:39:11.949841+00:00", + "ended_at": "2026-05-19T15:39:19.381404+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_69a17486e46af910", + "problem_id": "v2p_m4_d7959f50dae29074", + "dataset_id": "m4", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=smoker, group_col_2=region.", + "bindings": { + "group_col": "smoker", + "group_col_2": "region", + "predicate_col": "smoker", + "predicate_op": "=", + "predicate_value": "yes", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=53" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_69a17486e46af910.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_69a17486e46af910", + "api_calls": 0, + "input_tokens": 13763, + "cached_input_tokens": 12672, + "output_tokens": 245, + "total_tokens": 14008, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7427.92, + "sql_execution_elapsed_ms_total": 0.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e3abedfb30e42e31ab63de82871a689efd68f560 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:19.379307+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7427.92, "started_at": "2026-05-19T15:39:11.950568+00:00", "ended_at": "2026-05-19T15:39:19.378513+00:00", "prompt_metrics": {"chars": 5603, "bytes_utf8": 5603, "lines": 184, "estimated_tokens": null}, "response_metrics": {"chars": 364, "bytes_utf8": 364, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13763, "cached_input_tokens": 12672, "output_tokens": 245, "reasoning_output_tokens": 142}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"smoker\\\", \\\"region\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nWHERE \\\"smoker\\\" = 'yes'\\nGROUP BY \\\"smoker\\\", \\\"region\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided filtered two-dimensional group count template with group_col=\\\"smoker\\\", group_col_2=\\\"region\\\", and predicate smoker='yes'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c1f8106cff7a42a4fbfcfee13e14e4b75415be5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_69a17486e46af910", + "api_calls": 0, + "input_tokens": 13763, + "cached_input_tokens": 12672, + "output_tokens": 245, + "total_tokens": 14008, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7427.92, + "sql_execution_elapsed_ms_total": 0.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69a17486e46af910/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c2851f6aea61baebe3f3f945dd5aedb06ba35c34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/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=region, measure_col=bmi. +Result preview: [{"region": "southeast", "percentile_measure": 44.77}, {"region": "northeast", "percentile_measure": 39.805}, {"region": "southwest", "percentile_measure": 39.7}, {"region": "northwest", "percentile_measure": 37.41575}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2f81656ef9d695b99c8d344a671eaa3ee71b8a89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/generated_sql.sql @@ -0,0 +1,65 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m4_69f3a06d368a3e6b +-- problem_id: v2p_m4_46653c2e515d61dc +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "region", + CAST("bmi" AS REAL) AS "bmi_value", + ROW_NUMBER() OVER ( + PARTITION BY "region" + ORDER BY CAST("bmi" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "region" + ) AS "cnt" + FROM "m4" + WHERE "region" IS NOT NULL + AND "bmi" IS NOT NULL +), +"params" AS ( + SELECT DISTINCT + "region", + (1.0 + 0.95 * ("cnt" - 1)) AS "target_pos", + CAST((1.0 + 0.95 * ("cnt" - 1)) AS INT) AS "lower_rn", + CASE + WHEN (1.0 + 0.95 * ("cnt" - 1)) = CAST((1.0 + 0.95 * ("cnt" - 1)) AS INT) + THEN CAST((1.0 + 0.95 * ("cnt" - 1)) AS INT) + ELSE CAST((1.0 + 0.95 * ("cnt" - 1)) AS INT) + 1 + END AS "upper_rn" + FROM "ordered" +), +"bounds" AS ( + SELECT + p."region", + p."target_pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN o."rn" = p."lower_rn" THEN o."bmi_value" END) AS "lower_value", + MAX(CASE WHEN o."rn" = p."upper_rn" THEN o."bmi_value" END) AS "upper_value" + FROM "params" AS p + JOIN "ordered" AS o + ON o."region" = p."region" + GROUP BY + p."region", + p."target_pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "region", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_value" + ELSE "lower_value" + ("target_pos" - "lower_rn") * ("upper_value" - "lower_value") + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4723ed1f3de97a1375992524da1d3b235cd90eaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/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 \"ordered\" AS (\n SELECT\n \"region\",\n CAST(\"bmi\" AS REAL) AS \"bmi_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"region\"\n ORDER BY CAST(\"bmi\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"region\"\n ) AS \"cnt\"\n FROM \"m4\"\n WHERE \"region\" IS NOT NULL\n AND \"bmi\" IS NOT NULL\n),\n\"params\" AS (\n SELECT DISTINCT\n \"region\",\n (1.0 + 0.95 * (\"cnt\" - 1)) AS \"target_pos\",\n CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INT) AS \"lower_rn\",\n CASE\n WHEN (1.0 + 0.95 * (\"cnt\" - 1)) = CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INT)\n THEN CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INT)\n ELSE CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INT) + 1\n END AS \"upper_rn\"\n FROM \"ordered\"\n),\n\"bounds\" AS (\n SELECT\n p.\"region\",\n p.\"target_pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"bmi_value\" END) AS \"lower_value\",\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"bmi_value\" END) AS \"upper_value\"\n FROM \"params\" AS p\n JOIN \"ordered\" AS o\n ON o.\"region\" = p.\"region\"\n GROUP BY\n p.\"region\",\n p.\"target_pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"region\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"target_pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"region\\\",\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"bmi_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"region\\\"\\n ORDER BY CAST(\\\"bmi\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"region\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"region\\\" IS NOT NULL\\n AND \\\"bmi\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"region\\\",\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"target_pos\\\",\\n CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INT) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + 0.95 * (\\\"cnt\\\" - 1)) = CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INT)\\n THEN CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INT)\\n ELSE CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INT) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"region\\\",\\n p.\\\"target_pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"bmi_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"bmi_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"params\\\" AS p\\n JOIN \\\"ordered\\\" AS o\\n ON o.\\\"region\\\" = p.\\\"region\\\"\\n GROUP BY\\n p.\\\"region\\\",\\n p.\\\"target_pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"region\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"target_pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"region\", \"percentile_measure\"], \"rows\": [{\"region\": \"southeast\", \"percentile_measure\": 44.77}, {\"region\": \"northeast\", \"percentile_measure\": 39.805}, {\"region\": \"southwest\", \"percentile_measure\": 39.7}, {\"region\": \"northwest\", \"percentile_measure\": 37.41575}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 23.78}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fc64acd44ee9039629c073597a3937f0181c3f31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:52:17.501784+00:00", + "ended_at": "2026-05-19T15:53:06.865964+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_69f3a06d368a3e6b", + "problem_id": "v2p_m4_46653c2e515d61dc", + "dataset_id": "m4", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=region, measure_col=bmi.", + "bindings": { + "group_col": "region", + "measure_col": "bmi", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 33.11, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=91" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_69f3a06d368a3e6b.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_69f3a06d368a3e6b", + "api_calls": 0, + "input_tokens": 13708, + "cached_input_tokens": 12672, + "output_tokens": 3511, + "total_tokens": 17219, + "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": 48332.73, + "sql_execution_elapsed_ms_total": 23.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6c6ef776c851edf15c3a1d2d87c26becf887eb60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:52:20.410829+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": 2907.21, "started_at": "2026-05-19T15:52:17.502863+00:00", "ended_at": "2026-05-19T15:52:20.410105+00:00", "prompt_metrics": {"chars": 5472, "bytes_utf8": 5472, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f0-1a6e-7502-aa97-bce175c462bc\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:53:06.839302+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": 45425.52, "started_at": "2026-05-19T15:52:21.411981+00:00", "ended_at": "2026-05-19T15:53:06.837571+00:00", "prompt_metrics": {"chars": 5472, "bytes_utf8": 5472, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 1840, "bytes_utf8": 1840, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13708, "cached_input_tokens": 12672, "output_tokens": 3511, "reasoning_output_tokens": 2885}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"region\\\",\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"bmi_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"region\\\"\\n ORDER BY CAST(\\\"bmi\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"region\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"region\\\" IS NOT NULL\\n AND \\\"bmi\\\" IS NOT NULL\\n),\\n\\\"params\\\" AS (\\n SELECT DISTINCT\\n \\\"region\\\",\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"target_pos\\\",\\n CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INT) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + 0.95 * (\\\"cnt\\\" - 1)) = CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INT)\\n THEN CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INT)\\n ELSE CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INT) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"region\\\",\\n p.\\\"target_pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..da47484d750bd1cceaa2aeb925eb20e63a5dcaee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_69f3a06d368a3e6b", + "api_calls": 0, + "input_tokens": 13708, + "cached_input_tokens": 12672, + "output_tokens": 3511, + "total_tokens": 17219, + "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": 48332.73, + "sql_execution_elapsed_ms_total": 23.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_69f3a06d368a3e6b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fd7abebfe9fcbed47966f13dea8af8908cf36ad7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:12.293729+00:00", + "ended_at": "2026-05-19T15:54:15.865605+00:00", + "elapsed_ms": 3571.85, + "returncode": 1, + "prompt_metrics": { + "chars": 5547, + "bytes_utf8": 5547, + "lines": 183, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b78e3db807168753047b27829248436c24cf64e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:16.867674+00:00", + "ended_at": "2026-05-19T15:54:20.219234+00:00", + "elapsed_ms": 3351.51, + "returncode": 1, + "prompt_metrics": { + "chars": 5547, + "bytes_utf8": 5547, + "lines": 183, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..04f7919f0eb082dd0bff18849d442b281e80937a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,183 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=smoker, condition_col=smoker.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "smoker", + "condition_col": "smoker", + "condition_value": "yes", + "positive_value": "no", + "negative_value": "yes", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..04f7919f0eb082dd0bff18849d442b281e80937a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,183 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=smoker, condition_col=smoker.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "smoker", + "condition_col": "smoker", + "condition_value": "yes", + "positive_value": "no", + "negative_value": "yes", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6255c26fc82bbae52b4f14ae8c8353df34bdbaa5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-dabb-7712-ae5d-8681da537344"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5760f5782b7ddd09266a7fc973b28a5e39f15f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-dabb-7712-ae5d-8681da537344"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..84fa75a7adfd146aa5837a9bc06a73e148d356de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-eca0-75b2-a165-7fc2ab3ad692"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa2f90ce75dbb0e5350b154a64f42b47a84ad57e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-eca0-75b2-a165-7fc2ab3ad692"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2ba32ea7f54cdc49226c84ad95b95772da2469a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:54:12.292684+00:00", + "ended_at": "2026-05-19T15:54:20.220387+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_6b1f6feee5c1976a", + "problem_id": "v2p_m4_694319c894a67539", + "dataset_id": "m4", + "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=smoker, condition_col=smoker.", + "bindings": { + "group_col": "smoker", + "condition_col": "smoker", + "condition_value": "yes", + "positive_value": "no", + "negative_value": "yes", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=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", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cea0febd07fe7e4282e138b500b38a7ed042c9b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6b1f6feee5c1976a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:54:15.866335+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": 3571.85, "started_at": "2026-05-19T15:54:12.293729+00:00", "ended_at": "2026-05-19T15:54:15.865605+00:00", "prompt_metrics": {"chars": 5547, "bytes_utf8": 5547, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f1-dabb-7712-ae5d-8681da537344\"}\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": "2026-05-19T15:54:20.220222+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": 3351.51, "started_at": "2026-05-19T15:54:16.867674+00:00", "ended_at": "2026-05-19T15:54:20.219234+00:00", "prompt_metrics": {"chars": 5547, "bytes_utf8": 5547, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f1-eca0-75b2-a165-7fc2ab3ad692\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..13d4b5997b4d4f40d6e239c40962a136993adab4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5540, "bytes_utf8": 5540, "lines": 183, "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": 5540, "bytes_utf8": 5540, "lines": 183, "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": 349, "bytes_utf8": 349, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13730, "cached_input_tokens": 12672, "output_tokens": 343, "reasoning_output_tokens": 252}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f574a2ac82bac841b4f83826f78695da86ae154a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_6cd91329cb03aaf2", + "api_calls": 0, + "input_tokens": 13730, + "cached_input_tokens": 12672, + "output_tokens": 343, + "total_tokens": 14073, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12661.8, + "sql_execution_elapsed_ms_total": 1.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6a002f00b6077a113fe8e048242872e5fa83564b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:56.297403+00:00", + "ended_at": "2026-05-19T15:54:59.575356+00:00", + "elapsed_ms": 3277.92, + "returncode": 1, + "prompt_metrics": { + "chars": 5540, + "bytes_utf8": 5540, + "lines": 183, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ad8cf70986b8a6c3bf5fc31a58ed54a4f23ffaf8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:00.577796+00:00", + "ended_at": "2026-05-19T15:55:09.961727+00:00", + "elapsed_ms": 9383.88, + "prompt_metrics": { + "chars": 5540, + "bytes_utf8": 5540, + "lines": 183, + "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": 349, + "bytes_utf8": 349, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13730, + "cached_input_tokens": 12672, + "output_tokens": 343, + "reasoning_output_tokens": 252 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..707677b9a176806deeafea34aadc34901402bdb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,183 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=children, condition_col=sex.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "children", + "condition_col": "sex", + "condition_value": "male", + "positive_value": "male", + "negative_value": "female", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..707677b9a176806deeafea34aadc34901402bdb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,183 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=children, condition_col=sex.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "children", + "condition_col": "sex", + "condition_value": "male", + "positive_value": "male", + "negative_value": "female", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c093f6c2beae0d65601c99149d1cc7f4372b662 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-86c8-7000-b2e6-43dbfcd049a7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..58f56d127384798002a8abf58112920e7bcc6e45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-86c8-7000-b2e6-43dbfcd049a7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9879dbe0fb6cc7f0151415cee2edfcbdfda2bef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-977b-7921-b667-f744f35ba78c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"children\\\",\\n AVG(CASE WHEN \\\"sex\\\" = 'male' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Computes the proportion of male profiles within each children group using the requested Grouped Condition Rate template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13730,"cached_input_tokens":12672,"output_tokens":343,"reasoning_output_tokens":252}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..79295b504bf37bff9a4cdb326783f77346406b58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"children\",\n AVG(CASE WHEN \"sex\" = 'male' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m4\"\nGROUP BY \"children\"\nORDER BY condition_rate DESC;","notes":"Computes the proportion of male profiles within each children group using the requested Grouped Condition Rate template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cd91329cb03aaf2/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..060b35bdf178a6ad22bb2fb1443904ba23226771 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=children, measure_col=children. +Result preview: [{"children": "5", "avg_measure": 5.0}, {"children": "4", "avg_measure": 4.0}, {"children": "3", "avg_measure": 3.0}, {"children": "2", "avg_measure": 2.0}, {"children": "1", "avg_measure": 1.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b3f4305a3a3f14f8c0e48020beddc4fef6d3af80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_m4_6cfb995361e0c4c7 +-- problem_id: v2p_m4_4b6524f4c7876141 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "children", + AVG(CAST("children" AS REAL)) OVER (PARTITION BY "children") AS avg_measure +FROM "m4" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..325ce762f35ba96c776d1a6e380fbf04f6a2c529 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/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 \"children\",\n AVG(CAST(\"children\" AS REAL)) OVER (PARTITION BY \"children\") AS avg_measure\nFROM \"m4\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"children\\\",\\n AVG(CAST(\\\"children\\\" AS REAL)) OVER (PARTITION BY \\\"children\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"children\", \"avg_measure\"], \"rows\": [{\"children\": \"5\", \"avg_measure\": 5.0}, {\"children\": \"4\", \"avg_measure\": 4.0}, {\"children\": \"3\", \"avg_measure\": 3.0}, {\"children\": \"2\", \"avg_measure\": 2.0}, {\"children\": \"1\", \"avg_measure\": 1.0}, {\"children\": \"0\", \"avg_measure\": 0.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.6}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..07c33b149ca0265fd2f87464447d855fa10fa40b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:00:48.756719+00:00", + "ended_at": "2026-05-19T16:01:02.233945+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_6cfb995361e0c4c7", + "problem_id": "v2p_m4_4b6524f4c7876141", + "dataset_id": "m4", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=children, measure_col=children.", + "bindings": { + "group_col": "children", + "measure_col": "children", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=137" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_6cfb995361e0c4c7.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_6cfb995361e0c4c7", + "api_calls": 0, + "input_tokens": 13679, + "cached_input_tokens": 12032, + "output_tokens": 340, + "total_tokens": 14019, + "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": 12459.72, + "sql_execution_elapsed_ms_total": 10.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c0f0f755f7c29076c5a0308b6e1ce6be1872d686 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:00:51.960532+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": 3202.11, "started_at": "2026-05-19T16:00:48.757629+00:00", "ended_at": "2026-05-19T16:00:51.959762+00:00", "prompt_metrics": {"chars": 5384, "bytes_utf8": 5384, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f7-e768-7023-b1fe-a5fee935a25c\"}\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": "2026-05-19T16:01:02.220599+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": 9257.61, "started_at": "2026-05-19T16:00:52.961307+00:00", "ended_at": "2026-05-19T16:01:02.218954+00:00", "prompt_metrics": {"chars": 5384, "bytes_utf8": 5384, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 417, "bytes_utf8": 417, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13679, "cached_input_tokens": 12032, "output_tokens": 340, "reasoning_output_tokens": 238}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"children\\\",\\n AVG(CAST(\\\"children\\\" AS REAL)) OVER (PARTITION BY \\\"children\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"children\\\" and measure_col=\\\"children\\\". Casted \\\"children\\\" from TEXT to REAL so AVG is SQLite-compatible on the schema provided.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..92f24d9e39a39e75df51c6532d2c87e9fa370c5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_6cfb995361e0c4c7", + "api_calls": 0, + "input_tokens": 13679, + "cached_input_tokens": 12032, + "output_tokens": 340, + "total_tokens": 14019, + "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": 12459.72, + "sql_execution_elapsed_ms_total": 10.6, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6cfb995361e0c4c7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec3b84252230101850a1c463301c9dffad171090 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/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=children. +Result preview: [{"children": "0", "row_count": 1186}, {"children": "1", "row_count": 672}, {"children": "2", "row_count": 496}, {"children": "3", "row_count": 324}, {"children": "4", "row_count": 52}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fe67c4a6f3bef538b8ab538b404d44d3bf653d60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m4_6ec76ab4ed3dfbed +-- problem_id: v2p_m4_9fa6f39230538efc +-- realization_mode: agent +-- source_kind: agent +SELECT "children", COUNT(*) AS row_count +FROM "m4" +GROUP BY "children" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..89f87734eb4c13d3247be0727c471b075657d001 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/query_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 \"children\", COUNT(*) AS row_count\nFROM \"m4\"\nGROUP BY \"children\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"children\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"children\", \"row_count\"], \"rows\": [{\"children\": \"0\", \"row_count\": 1186}, {\"children\": \"1\", \"row_count\": 672}, {\"children\": \"2\", \"row_count\": 496}, {\"children\": \"3\", \"row_count\": 324}, {\"children\": \"4\", \"row_count\": 52}, {\"children\": \"5\", \"row_count\": 42}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.0}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6a933a987cfac7e5e11129e2670706d22e051d02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:30:42.275853+00:00", + "ended_at": "2026-05-19T15:30:49.977779+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_6ec76ab4ed3dfbed", + "problem_id": "v2p_m4_9fa6f39230538efc", + "dataset_id": "m4", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=children.", + "bindings": { + "group_col": "children", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=13" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_6ec76ab4ed3dfbed.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_6ec76ab4ed3dfbed", + "api_calls": 0, + "input_tokens": 13644, + "cached_input_tokens": 12672, + "output_tokens": 208, + "total_tokens": 13852, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7695.98, + "sql_execution_elapsed_ms_total": 2.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e74f1b1f02030ca26bd8ed47f4155f676fa339b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:49.974360+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7695.98, "started_at": "2026-05-19T15:30:42.277575+00:00", "ended_at": "2026-05-19T15:30:49.973588+00:00", "prompt_metrics": {"chars": 5214, "bytes_utf8": 5214, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 286, "bytes_utf8": 286, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13644, "cached_input_tokens": 12672, "output_tokens": 208, "reasoning_output_tokens": 131}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"children\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the provided Grouped Count by Category template with group_col bound to \\\"children\\\" on the single table \\\"m4\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..98226558ad8210c35d29d5ae01bad3eb4aaeae97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_6ec76ab4ed3dfbed", + "api_calls": 0, + "input_tokens": 13644, + "cached_input_tokens": 12672, + "output_tokens": 208, + "total_tokens": 13852, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7695.98, + "sql_execution_elapsed_ms_total": 2.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_6ec76ab4ed3dfbed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..91ab6d6994203e88695083c7579bba178f052cbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/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=sex, measure_col=age. +Result preview: [{"sex": "female", "percentile_measure": 62.0}, {"sex": "male", "percentile_measure": 61.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..15044dc83be76ee7be57820a0a499762ab393a7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/generated_sql.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m4_703b40fd1214fa2e +-- problem_id: v2p_m4_7d725242358bbc7f +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "sex" AS "group_col", + CAST("age" AS REAL) AS "measure_col", + CUME_DIST() OVER ( + PARTITION BY "sex" + ORDER BY CAST("age" AS REAL) + ) AS "cum_dist" + FROM "m4" + WHERE "sex" IS NOT NULL + AND "age" IS NOT NULL +) +SELECT + "group_col" AS "sex", + MIN("measure_col") AS "percentile_measure" +FROM "ranked" +WHERE "cum_dist" >= 0.95 +GROUP BY "group_col" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d35f462bc6375f8f4229178bc10cc9c17c6fd12e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/query_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 \"sex\" AS \"group_col\",\n CAST(\"age\" AS REAL) AS \"measure_col\",\n CUME_DIST() OVER (\n PARTITION BY \"sex\"\n ORDER BY CAST(\"age\" AS REAL)\n ) AS \"cum_dist\"\n FROM \"m4\"\n WHERE \"sex\" IS NOT NULL\n AND \"age\" IS NOT NULL\n)\nSELECT\n \"group_col\" AS \"sex\",\n MIN(\"measure_col\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cum_dist\" >= 0.95\nGROUP BY \"group_col\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"sex\\\" AS \\\"group_col\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"measure_col\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"sex\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"cum_dist\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"sex\\\" IS NOT NULL\\n AND \\\"age\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"sex\\\",\\n MIN(\\\"measure_col\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cum_dist\\\" >= 0.95\\nGROUP BY \\\"group_col\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"sex\", \"percentile_measure\"], \"rows\": [{\"sex\": \"female\", \"percentile_measure\": 62.0}, {\"sex\": \"male\", \"percentile_measure\": 61.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 4.33}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..51df9c90ab42322ba2abbcb27ee2bb251e54eaea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:44:56.939879+00:00", + "ended_at": "2026-05-19T15:45:11.887929+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_703b40fd1214fa2e", + "problem_id": "v2p_m4_7d725242358bbc7f", + "dataset_id": "m4", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=sex, measure_col=age.", + "bindings": { + "group_col": "sex", + "measure_col": "age", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=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_d/m4/sql/v2q_m4_703b40fd1214fa2e.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_703b40fd1214fa2e", + "api_calls": 0, + "input_tokens": 13707, + "cached_input_tokens": 12672, + "output_tokens": 738, + "total_tokens": 14445, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14940.36, + "sql_execution_elapsed_ms_total": 4.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a5d1cd0ab9f2115c647be4cc286998da0aca94f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:11.882320+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14940.36, "started_at": "2026-05-19T15:44:56.941111+00:00", "ended_at": "2026-05-19T15:45:11.881505+00:00", "prompt_metrics": {"chars": 5463, "bytes_utf8": 5463, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 749, "bytes_utf8": 749, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13707, "cached_input_tokens": 12672, "output_tokens": 738, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"sex\\\" AS \\\"group_col\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"measure_col\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"sex\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"cum_dist\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"sex\\\" IS NOT NULL\\n AND \\\"age\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"sex\\\",\\n MIN(\\\"measure_col\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cum_dist\\\" >= 0.95\\nGROUP BY \\\"group_col\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite has no PERCENTILE_CONT, so this uses CUME_DIST() and returns the smallest age in each sex group whose cumulative distribution reaches or exceeds 0.95, with age cast from TEXT to REAL.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ac4797e50b103f29d494ea79203e9e870f00e5ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_703b40fd1214fa2e", + "api_calls": 0, + "input_tokens": 13707, + "cached_input_tokens": 12672, + "output_tokens": 738, + "total_tokens": 14445, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14940.36, + "sql_execution_elapsed_ms_total": 4.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_703b40fd1214fa2e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..4fef0f2e668880b03cc03f759ad339c95caffd55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/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=children, condition_col=sex. +Result preview: [{"children": "4", "condition_ratio": 1.3636363636363635}, {"children": "5", "condition_ratio": 1.3333333333333333}, {"children": "1", "condition_ratio": 1.0613496932515338}, {"children": "2", "condition_ratio": 1.0327868852459017}, {"children": "3", "condition_ratio": 1.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a0a4429313a7799fc9ddb75c6af7013628c85e91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m4_712d9db0092bc950 +-- problem_id: v2p_m4_2c7085b37f159235 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "children", + SUM(CASE WHEN "sex" = 'male' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "sex" = 'female' THEN 1 ELSE 0 END) AS denominator_count + FROM "m4" + GROUP BY "children" +) +SELECT "children", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..53785dc6d89e98d80c16328ec1c68ae66d376c0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/query_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 \"children\",\n SUM(CASE WHEN \"sex\" = 'male' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"sex\" = 'female' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m4\"\n GROUP BY \"children\"\n)\nSELECT \"children\",\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 \\\"children\\\",\\n SUM(CASE WHEN \\\"sex\\\" = 'male' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"sex\\\" = 'female' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"children\\\"\\n)\\nSELECT \\\"children\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"children\", \"condition_ratio\"], \"rows\": [{\"children\": \"4\", \"condition_ratio\": 1.3636363636363635}, {\"children\": \"5\", \"condition_ratio\": 1.3333333333333333}, {\"children\": \"1\", \"condition_ratio\": 1.0613496932515338}, {\"children\": \"2\", \"condition_ratio\": 1.0327868852459017}, {\"children\": \"3\", \"condition_ratio\": 1.0}, {\"children\": \"0\", \"condition_ratio\": 0.9966329966329966}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.76}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9b0fb8820fbece7ac667176a6cb990951134f695 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:37:43.064392+00:00", + "ended_at": "2026-05-19T15:37:57.861370+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_712d9db0092bc950", + "problem_id": "v2p_m4_2c7085b37f159235", + "dataset_id": "m4", + "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=children, condition_col=sex.", + "bindings": { + "group_col": "children", + "condition_col": "sex", + "condition_value": "male", + "positive_value": "male", + "negative_value": "female", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=41" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_712d9db0092bc950.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_712d9db0092bc950", + "api_calls": 0, + "input_tokens": 13878, + "cached_input_tokens": 12672, + "output_tokens": 548, + "total_tokens": 14426, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14790.81, + "sql_execution_elapsed_ms_total": 1.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..38c6e337cee2128c9c11691d38f663a2b45ffe31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:57.858136+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14790.81, "started_at": "2026-05-19T15:37:43.066373+00:00", "ended_at": "2026-05-19T15:37:57.857224+00:00", "prompt_metrics": {"chars": 6109, "bytes_utf8": 6109, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 686, "bytes_utf8": 686, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13878, "cached_input_tokens": 12672, "output_tokens": 548, "reasoning_output_tokens": 371}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"children\\\",\\n SUM(CASE WHEN \\\"sex\\\" = 'male' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"sex\\\" = 'female' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"children\\\"\\n)\\nSELECT \\\"children\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"children\\\" and condition_col=\\\"sex\\\", computing the male-to-female ratio per children group. NULLIF prevents division-by-zero for groups without female rows.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..870bf04a360f95c2821a06d4ec4c844a0019b8b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_712d9db0092bc950", + "api_calls": 0, + "input_tokens": 13878, + "cached_input_tokens": 12672, + "output_tokens": 548, + "total_tokens": 14426, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14790.81, + "sql_execution_elapsed_ms_total": 1.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_712d9db0092bc950/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..51dbbbf562ba6a0dded0b159ea84aa7da6eddc93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/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=children, group_col_2=smoker. +Result preview: [{"children": "0", "smoker": "no", "row_count": 244}, {"children": "1", "smoker": "no", "row_count": 126}, {"children": "2", "smoker": "no", "row_count": 96}, {"children": "0", "smoker": "yes", "row_count": 60}, {"children": "3", "smoker": "no", "row_count": 56}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d47789bfc72f714bbb75dab60fd3d2fdc3230de5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m4_729cdd5723269d9a +-- problem_id: v2p_m4_9f339284582c3e38 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", "smoker", COUNT(*) AS row_count +FROM "m4" +WHERE CAST("bmi" AS REAL) >= 34.77 +GROUP BY "children", "smoker" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..57f030613878d3dca7511045bf29c1a60f493aee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/query_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 \"children\", \"smoker\", COUNT(*) AS row_count\nFROM \"m4\"\nWHERE CAST(\"bmi\" AS REAL) >= 34.77\nGROUP BY \"children\", \"smoker\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"children\\\", \\\"smoker\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nWHERE CAST(\\\"bmi\\\" AS REAL) >= 34.77\\nGROUP BY \\\"children\\\", \\\"smoker\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"children\", \"smoker\", \"row_count\"], \"rows\": [{\"children\": \"0\", \"smoker\": \"no\", \"row_count\": 244}, {\"children\": \"1\", \"smoker\": \"no\", \"row_count\": 126}, {\"children\": \"2\", \"smoker\": \"no\", \"row_count\": 96}, {\"children\": \"0\", \"smoker\": \"yes\", \"row_count\": 60}, {\"children\": \"3\", \"smoker\": \"no\", \"row_count\": 56}, {\"children\": \"2\", \"smoker\": \"yes\", \"row_count\": 46}, {\"children\": \"1\", \"smoker\": \"yes\", \"row_count\": 38}, {\"children\": \"3\", \"smoker\": \"yes\", \"row_count\": 18}, {\"children\": \"4\", \"smoker\": \"no\", \"row_count\": 8}, {\"children\": \"5\", \"smoker\": \"no\", \"row_count\": 6}], \"row_count_returned\": 10, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.35}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0c3352192d5610e029aeaefa1ff0fa3c43d9d702 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:38:50.220140+00:00", + "ended_at": "2026-05-19T15:38:59.526352+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_729cdd5723269d9a", + "problem_id": "v2p_m4_9f339284582c3e38", + "dataset_id": "m4", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=children, group_col_2=smoker.", + "bindings": { + "group_col": "children", + "group_col_2": "smoker", + "predicate_col": "bmi", + "predicate_op": ">=", + "predicate_value": 34.77, + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "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_d/m4/sql/v2q_m4_729cdd5723269d9a.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_729cdd5723269d9a", + "api_calls": 0, + "input_tokens": 13766, + "cached_input_tokens": 12032, + "output_tokens": 362, + "total_tokens": 14128, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9301.67, + "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_d/m4/artifacts/v2q_m4_729cdd5723269d9a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f86a09e30c41a873bb7f76fa20d3a51431f7a66f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:59.523704+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9301.67, "started_at": "2026-05-19T15:38:50.221099+00:00", "ended_at": "2026-05-19T15:38:59.522801+00:00", "prompt_metrics": {"chars": 5606, "bytes_utf8": 5606, "lines": 184, "estimated_tokens": null}, "response_metrics": {"chars": 456, "bytes_utf8": 456, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13766, "cached_input_tokens": 12032, "output_tokens": 362, "reasoning_output_tokens": 232}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"children\\\", \\\"smoker\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nWHERE CAST(\\\"bmi\\\" AS REAL) >= 34.77\\nGROUP BY \\\"children\\\", \\\"smoker\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the planned filtered two-dimensional group count template with group_col=\\\"children\\\", group_col_2=\\\"smoker\\\", and predicate on \\\"bmi\\\" >= 34.77. Cast \\\"bmi\\\" to REAL because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c39132af39e087e551bf6606076a075211e8607c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_729cdd5723269d9a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_729cdd5723269d9a", + "api_calls": 0, + "input_tokens": 13766, + "cached_input_tokens": 12032, + "output_tokens": 362, + "total_tokens": 14128, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9301.67, + "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_d/m4/artifacts/v2q_m4_729cdd5723269d9a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..05fa922e863c24e4aac37978ef56e768eccb7b59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/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=sex, measure_col=children. +Result preview: [{"sex": "female", "age": "39", "total_measure": 86.0, "share_within_group": 5.818673883626523}, {"sex": "male", "age": "46", "total_measure": 66.0, "share_within_group": 4.187817258883249}, {"sex": "female", "age": "54", "total_measure": 56.0, "share_within_group": 3.7889039242219216}, {"sex": "female", "age": "49", "total_measure": 52.0, "share_within_group": 3.5182679296346415}, {"sex": "male", "age": "33", "total_measure": 54.0, "share_within_group": 3.4263959390862944}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d5119cedb81dee1a9da735e8ee54667917418e89 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m4_7415cb9880b8f215 +-- problem_id: v2p_m4_edf472f5ccf59964 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "age", + SUM(CAST("children" AS REAL)) AS total_measure, + SUM(CAST("children" AS REAL)) * 100.0 / SUM(SUM(CAST("children" AS REAL))) OVER (PARTITION BY "sex") AS share_within_group +FROM "m4" +GROUP BY "sex", "age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3b2307734047470904e1430be1002c6ebfa5a992 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"sex\", \"age\",\n SUM(CAST(\"children\" AS REAL)) AS total_measure,\n SUM(CAST(\"children\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"children\" AS REAL))) OVER (PARTITION BY \"sex\") AS share_within_group\nFROM \"m4\"\nGROUP BY \"sex\", \"age\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"sex\\\", \\\"age\\\",\\n SUM(CAST(\\\"children\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"children\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"children\\\" AS REAL))) OVER (PARTITION BY \\\"sex\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"sex\", \"age\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"sex\": \"female\", \"age\": \"39\", \"total_measure\": 86.0, \"share_within_group\": 5.818673883626523}, {\"sex\": \"male\", \"age\": \"46\", \"total_measure\": 66.0, \"share_within_group\": 4.187817258883249}, {\"sex\": \"female\", \"age\": \"54\", \"total_measure\": 56.0, \"share_within_group\": 3.7889039242219216}, {\"sex\": \"female\", \"age\": \"49\", \"total_measure\": 52.0, \"share_within_group\": 3.5182679296346415}, {\"sex\": \"male\", \"age\": \"33\", \"total_measure\": 54.0, \"share_within_group\": 3.4263959390862944}, {\"sex\": \"male\", \"age\": \"25\", \"total_measure\": 52.0, \"share_within_group\": 3.299492385786802}, {\"sex\": \"male\", \"age\": \"28\", \"total_measure\": 52.0, \"share_within_group\": 3.299492385786802}, {\"sex\": \"female\", \"age\": \"53\", \"total_measure\": 48.0, \"share_within_group\": 3.2476319350473615}, {\"sex\": \"male\", \"age\": \"45\", \"total_measure\": 50.0, \"share_within_group\": 3.1725888324873095}, {\"sex\": \"male\", \"age\": \"47\", \"total_measure\": 50.0, \"share_within_group\": 3.1725888324873095}, {\"sex\": \"male\", \"age\": \"52\", \"total_measure\": 50.0, \"share_within_group\": 3.1725888324873095}, {\"sex\": \"female\", \"age\": \"50\", \"total_measure\": 46.0, \"share_within_group\": 3.1123139377537212}, {\"sex\": \"male\", \"age\": \"31\", \"total_measure\": 48.0, \"share_within_group\": 3.045685279187817}, {\"sex\": \"male\", \"age\": \"35\", \"total_measure\": 48.0, \"share_within_group\": 3.045685279187817}, {\"sex\": \"male\", \"age\": \"37\", \"total_measure\": 48.0, \"share_within_group\": 3.045685279187817}, {\"sex\": \"male\", \"age\": \"43\", \"total_measure\": 48.0, \"share_within_group\": 3.045685279187817}, {\"sex\": \"female\", \"age\": \"19\", \"total_measure\": 44.0, \"share_within_group\": 2.976995940460081}, {\"sex\": \"female\", \"age\": \"40\", \"total_measure\": 44.0, \"share_within_group\": 2.976995940460081}, {\"sex\": \"male\", \"age\": \"32\", \"total_measure\": 46.0, \"share_within_group\": 2.918781725888325}, {\"sex\": \"male\", \"age\": \"41\", \"total_measure\": 46.0, \"share_within_group\": 2.918781725888325}, {\"sex\": \"male\", \"age\": \"44\", \"total_measure\": 46.0, \"share_within_group\": 2.918781725888325}, {\"sex\": \"female\", \"age\": \"45\", \"total_measure\": 42.0, \"share_within_group\": 2.841677943166441}, {\"sex\": \"female\", \"age\": \"52\", \"total_measure\": 42.0, \"share_within_group\": 2.841677943166441}, {\"sex\": \"male\", \"age\": \"30\", \"total_measure\": 44.0, \"share_within_group\": 2.7918781725888326}, {\"sex\": \"female\", \"age\": \"30\", \"total_measure\": 40.0, \"share_within_group\": 2.706359945872801}, {\"sex\": \"female\", \"age\": \"43\", \"total_measure\": 40.0, \"share_within_group\": 2.706359945872801}, {\"sex\": \"male\", \"age\": \"18\", \"total_measure\": 42.0, \"share_within_group\": 2.66497461928934}, {\"sex\": \"male\", \"age\": \"40\", \"total_measure\": 42.0, \"share_within_group\": 2.66497461928934}, {\"sex\": \"female\", \"age\": \"46\", \"total_measure\": 38.0, \"share_within_group\": 2.571041948579161}, {\"sex\": \"female\", \"age\": \"59\", \"total_measure\": 38.0, \"share_within_group\": 2.571041948579161}, {\"sex\": \"male\", \"age\": \"36\", \"total_measure\": 40.0, \"share_within_group\": 2.5380710659898478}, {\"sex\": \"male\", \"age\": \"48\", \"total_measure\": 40.0, \"share_within_group\": 2.5380710659898478}, {\"sex\": \"female\", \"age\": \"26\", \"total_measure\": 36.0, \"share_within_group\": 2.435723951285521}, {\"sex\": \"female\", \"age\": \"34\", \"total_measure\": 36.0, \"share_within_group\": 2.435723951285521}, {\"sex\": \"female\", \"age\": \"35\", \"total_measure\": 36.0, \"share_within_group\": 2.435723951285521}, {\"sex\": \"female\", \"age\": \"38\", \"total_measure\": 36.0, \"share_within_group\": 2.435723951285521}, {\"sex\": \"female\", \"age\": \"48\", \"total_measure\": 36.0, \"share_within_group\": 2.435723951285521}, {\"sex\": \"male\", \"age\": \"38\", \"total_measure\": 38.0, \"share_within_group\": 2.4111675126903553}, {\"sex\": \"female\", \"age\": \"33\", \"total_measure\": 34.0, \"share_within_group\": 2.300405953991881}, {\"sex\": \"female\", \"age\": \"37\", \"total_measure\": 34.0, \"share_within_group\": 2.300405953991881}, {\"sex\": \"female\", \"age\": \"47\", \"total_measure\": 34.0, \"share_within_group\": 2.300405953991881}, {\"sex\": \"male\", \"age\": \"29\", \"total_measure\": 36.0, \"share_within_group\": 2.284263959390863}, {\"sex\": \"male\", \"age\": \"39\", \"total_measure\": 36.0, \"share_within_group\": 2.284263959390863}, {\"sex\": \"female\", \"age\": \"29\", \"total_measure\": 32.0, \"share_within_group\": 2.165087956698241}, {\"sex\": \"female\", \"age\": \"41\", \"total_measure\": 32.0, \"share_within_group\": 2.165087956698241}, {\"sex\": \"female\", \"age\": \"55\", \"total_measure\": 32.0, \"share_within_group\": 2.165087956698241}, {\"sex\": \"male\", \"age\": \"20\", \"total_measure\": 34.0, \"share_within_group\": 2.1573604060913705}, {\"sex\": \"male\", \"age\": \"51\", \"total_measure\": 34.0, \"share_within_group\": 2.1573604060913705}, {\"sex\": \"male\", \"age\": \"49\", \"total_measure\": 32.0, \"share_within_group\": 2.030456852791878}, {\"sex\": \"female\", \"age\": \"23\", \"total_measure\": 30.0, \"share_within_group\": 2.029769959404601}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 2.58}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e91262d4a84e28a770238b2b8c94734bd7026777 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:36:00.684414+00:00", + "ended_at": "2026-05-19T15:36:16.461251+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_7415cb9880b8f215", + "problem_id": "v2p_m4_edf472f5ccf59964", + "dataset_id": "m4", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=sex, measure_col=children.", + "bindings": { + "group_col": "sex", + "measure_col": "children", + "item_col": "age", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 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=9", + "sql_variant_index=1/2", + "binding_index=32" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_7415cb9880b8f215.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_7415cb9880b8f215", + "api_calls": 0, + "input_tokens": 13787, + "cached_input_tokens": 12032, + "output_tokens": 643, + "total_tokens": 14430, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15771.09, + "sql_execution_elapsed_ms_total": 2.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a7b246109afe2ee85d7e4422e1f82b5e9b7235b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:16.457299+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15771.09, "started_at": "2026-05-19T15:36:00.685286+00:00", "ended_at": "2026-05-19T15:36:16.456409+00:00", "prompt_metrics": {"chars": 5698, "bytes_utf8": 5698, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 554, "bytes_utf8": 554, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13787, "cached_input_tokens": 12032, "output_tokens": 643, "reasoning_output_tokens": 489}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"sex\\\", \\\"age\\\",\\n SUM(CAST(\\\"children\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"children\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"children\\\" AS REAL))) OVER (PARTITION BY \\\"sex\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"sex\\\", item_col=\\\"age\\\", and measure_col=\\\"children\\\". CAST is used because the schema stores numeric fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a4f5916795651b587967099101371fa1c1f68789 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_7415cb9880b8f215", + "api_calls": 0, + "input_tokens": 13787, + "cached_input_tokens": 12032, + "output_tokens": 643, + "total_tokens": 14430, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15771.09, + "sql_execution_elapsed_ms_total": 2.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7415cb9880b8f215/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e0de6891c907740eecb92cd9af26dceebaefe36e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:05.763039+00:00", + "ended_at": "2026-05-19T15:56:09.044720+00:00", + "elapsed_ms": 3281.66, + "returncode": 1, + "prompt_metrics": { + "chars": 5231, + "bytes_utf8": 5231, + "lines": 178, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..80555052d43e79e4fff3ad9ab7bc8e6e7b49d012 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:10.046232+00:00", + "ended_at": "2026-05-19T15:56:13.044354+00:00", + "elapsed_ms": 2998.09, + "returncode": 1, + "prompt_metrics": { + "chars": 5231, + "bytes_utf8": 5231, + "lines": 178, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ed37d3fe1fd16d4a56fc246b9dc7e31383edc91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "bmi", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ed37d3fe1fd16d4a56fc246b9dc7e31383edc91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "bmi", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0277c1870f9112d48167d5cf61e93555fd2e0e75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-960e-75c1-bdb1-fb273f91fc8e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7e123250f12dc659fc0556f3fd29d186a415282 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-960e-75c1-bdb1-fb273f91fc8e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. 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Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..58a4a84073c17975697341529ed85ef85983f879 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-a6e9-7063-bffe-c29208b3eb51"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4751cee4fb54477ff35fa453ea282278b51c4127 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:56:05.762194+00:00", + "ended_at": "2026-05-19T15:56:13.045336+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_74ecb13247890e0e", + "problem_id": "v2p_m4_6875988e2d520293", + "dataset_id": "m4", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi.", + "bindings": { + "measure_col": "bmi", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=109" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..242da60ec461fc6ab439275a151de9c9089e16fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_74ecb13247890e0e/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:56:09.045429+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": 3281.66, "started_at": "2026-05-19T15:56:05.763039+00:00", "ended_at": "2026-05-19T15:56:09.044720+00:00", "prompt_metrics": {"chars": 5231, "bytes_utf8": 5231, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-960e-75c1-bdb1-fb273f91fc8e\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:56:13.045214+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": 2998.09, "started_at": "2026-05-19T15:56:10.046232+00:00", "ended_at": "2026-05-19T15:56:13.044354+00:00", "prompt_metrics": {"chars": 5231, "bytes_utf8": 5231, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-a6e9-7063-bffe-c29208b3eb51\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7a7869f465bdbb67/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7a7869f465bdbb67/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c79ef6df42bb1cf5e55a2a549122ce1ed47f52e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7a7869f465bdbb67/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:02.235236+00:00", + "ended_at": "2026-05-19T16:01:09.531397+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_7a7869f465bdbb67", + "problem_id": "v2p_m4_7322c7b1ac37e5cf", + "dataset_id": "m4", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "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=children, measure_col=children.", + "bindings": { + "group_col": "children", + "measure_col": "children", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=137" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7a7869f465bdbb67/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7a7869f465bdbb67/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dd25184a6ec16f6c10b7444c15ccafa7f6705353 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7a7869f465bdbb67/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:01:05.338700+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": 3100.45, "started_at": "2026-05-19T16:01:02.237241+00:00", "ended_at": "2026-05-19T16:01:05.337732+00:00", "prompt_metrics": {"chars": 5389, "bytes_utf8": 5389, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f8-1c4d-7cc2-830f-f1f574f4af24\"}\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": "2026-05-19T16:01:09.531308+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": 3190.11, "started_at": "2026-05-19T16:01:06.340413+00:00", "ended_at": "2026-05-19T16:01:09.530571+00:00", "prompt_metrics": {"chars": 5389, "bytes_utf8": 5389, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f8-2c29-7101-af63-b19303bd9535\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7adcbf7c7f4d4cc5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7adcbf7c7f4d4cc5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bbcd36ca63995dbf73c659f87ddbe43f0a3e6503 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7adcbf7c7f4d4cc5/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:52:10.564173+00:00", + "ended_at": "2026-05-19T15:52:17.501336+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_7adcbf7c7f4d4cc5", + "problem_id": "v2p_m4_3c281c726c6e0b1a", + "dataset_id": "m4", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=region, measure_col=bmi.", + "bindings": { + "group_col": "region", + "measure_col": "bmi", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=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", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7adcbf7c7f4d4cc5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7adcbf7c7f4d4cc5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f6c698de0bb2685bd09c6600973e357748bb31cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7adcbf7c7f4d4cc5/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:52:13.451702+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": 2884.58, "started_at": "2026-05-19T15:52:10.566026+00:00", "ended_at": "2026-05-19T15:52:13.450646+00:00", "prompt_metrics": {"chars": 5468, "bytes_utf8": 5468, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ef-ff67-7be0-a936-953e0aecfd7d\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:52:17.501177+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": 3047.2, "started_at": "2026-05-19T15:52:14.453018+00:00", "ended_at": "2026-05-19T15:52:17.500259+00:00", "prompt_metrics": {"chars": 5468, "bytes_utf8": 5468, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f0-0e7b-7763-b399-eec9c437ba04\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aa3e3a9b6f536875df6a0e6128e3d62e06e61d9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5690, "bytes_utf8": 5690, "lines": 182, "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": 549, "bytes_utf8": 549, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13787, "cached_input_tokens": 12032, "output_tokens": 681, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..413adaeed184b9989eb1b363abf93b8cdb6d4b69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_7df7e7b85d7cf803", + "api_calls": 0, + "input_tokens": 13787, + "cached_input_tokens": 12032, + "output_tokens": 681, + "total_tokens": 14468, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13142.65, + "sql_execution_elapsed_ms_total": 9.78, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..380410df24488d5aedce3b037558961ef1bf7307 --- 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+ "output_tokens": 681, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d5e6c2ba5ef7e4c9aea9cf72c673fe7d29aa324 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,182 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=region, measure_col=age.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "region", + "measure_col": "age", + "item_col": "bmi", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9bcdb576585c4a7b733c05b30c2e78d3755178a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-9f37-7490-ba84-37bad49719fb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"region\\\",\\n \\\"bmi\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"age\\\" AS REAL))) OVER (PARTITION BY \\\"region\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned Within-Group Share of Total template with \\\"region\\\" as group_col, \\\"bmi\\\" as item_col, and CAST(\\\"age\\\" AS REAL) as the numeric measure because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13787,"cached_input_tokens":12032,"output_tokens":681,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f1a99738b5f017d893c4b09cc84ff5b5bdf7af4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"region\",\n \"bmi\",\n SUM(CAST(\"age\" AS REAL)) AS total_measure,\n SUM(CAST(\"age\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"age\" AS REAL))) OVER (PARTITION BY \"region\") AS share_within_group\nFROM \"m4\"\nGROUP BY \"region\", \"bmi\"\nORDER BY share_within_group DESC;","notes":"Applied the planned Within-Group Share of Total template with \"region\" as group_col, \"bmi\" as item_col, and CAST(\"age\" AS REAL) as the numeric measure because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7df7e7b85d7cf803/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..355b9c62b56e65a3d1fed51d6e2621c92c2d2e0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/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=children, measure_col=children. +Result preview: [{"children": "5", "percentile_measure": 5.0}, {"children": "4", "percentile_measure": 4.0}, {"children": "3", "percentile_measure": 3.0}, {"children": "2", "percentile_measure": 2.0}, {"children": "1", "percentile_measure": 1.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d353286e25afb3738dfafa64c3a128129c5e96c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m4_7eeab0e04a8bcb0d +-- problem_id: v2p_m4_a50e4d2d4402252c +-- realization_mode: agent +-- source_kind: agent +SELECT + "children", + CAST("children" AS REAL) AS percentile_measure +FROM "m4" +GROUP BY "children" +ORDER BY percentile_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1651d93cedaa4909ff180ee49349132bddf0660d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nSELECT\n \"children\",\n CAST(\"children\" AS REAL) AS percentile_measure\nFROM \"m4\"\nGROUP BY \"children\"\nORDER BY percentile_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"children\\\",\\n CAST(\\\"children\\\" AS REAL) AS percentile_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY percentile_measure DESC;\", \"columns\": [\"children\", \"percentile_measure\"], \"rows\": [{\"children\": \"5\", \"percentile_measure\": 5.0}, {\"children\": \"4\", \"percentile_measure\": 4.0}, {\"children\": \"3\", \"percentile_measure\": 3.0}, {\"children\": \"2\", \"percentile_measure\": 2.0}, {\"children\": \"1\", \"percentile_measure\": 1.0}, {\"children\": \"0\", \"percentile_measure\": 0.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.16}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cdc25ac5dcfbd4165994ac0cbabd104d8fb366bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:51:03.946245+00:00", + "ended_at": "2026-05-19T15:51:14.323976+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_7eeab0e04a8bcb0d", + "problem_id": "v2p_m4_a50e4d2d4402252c", + "dataset_id": "m4", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=children, measure_col=children.", + "bindings": { + "group_col": "children", + "measure_col": "children", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=89" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_7eeab0e04a8bcb0d.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_7eeab0e04a8bcb0d", + "api_calls": 0, + "input_tokens": 13707, + "cached_input_tokens": 12672, + "output_tokens": 461, + "total_tokens": 14168, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10373.54, + "sql_execution_elapsed_ms_total": 1.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..60a94792a493f656b7c4e68b35e35144c4c83954 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:14.321499+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10373.54, "started_at": "2026-05-19T15:51:03.947075+00:00", "ended_at": "2026-05-19T15:51:14.320640+00:00", "prompt_metrics": {"chars": 5484, "bytes_utf8": 5484, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 450, "bytes_utf8": 450, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13707, "cached_input_tokens": 12672, "output_tokens": 461, "reasoning_output_tokens": 350}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"children\\\",\\n CAST(\\\"children\\\" AS REAL) AS percentile_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY percentile_measure DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Because both group_col and measure_col are bound to \\\"children\\\", each group has a single distinct measure value, so the 0.95 percentile within each group simplifies to CAST(\\\"children\\\" AS REAL).\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..24b5e9a00a43686b74f5ba8b8da32f8d4151ca8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_7eeab0e04a8bcb0d", + "api_calls": 0, + "input_tokens": 13707, + "cached_input_tokens": 12672, + "output_tokens": 461, + "total_tokens": 14168, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10373.54, + "sql_execution_elapsed_ms_total": 1.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_7eeab0e04a8bcb0d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..aca8ba89f5c342dc5c925cfa2af94cb994b4bd47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5469, "bytes_utf8": 5469, "lines": 180, "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": 1680, "bytes_utf8": 1680, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13709, "cached_input_tokens": 12672, "output_tokens": 1100, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..929de9a9b903e37cad7b7bdb9f227b88b7dae06e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_823141da7e8faa47", + "api_calls": 0, + "input_tokens": 13709, + "cached_input_tokens": 12672, + "output_tokens": 1100, + "total_tokens": 14809, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18220.54, + "sql_execution_elapsed_ms_total": 24.58, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..80342cfe2d27fcf9220176ba5a5a67719ab904bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:51:52.311405+00:00", + "ended_at": "2026-05-19T15:52:10.531977+00:00", + "elapsed_ms": 18220.54, + "prompt_metrics": { + "chars": 5469, + "bytes_utf8": 5469, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2282, + "bytes_utf8": 2282, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1680, + "bytes_utf8": 1680, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13709, + "cached_input_tokens": 12672, + "output_tokens": 1100, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7d3e0eac912142c269d2d9c425037dd58c943424 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=smoker, measure_col=age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "smoker", + "measure_col": "age", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..311632430f63fa12fe3a23e5f72b3a91a7be414c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-b803-77d2-af40-88e38cf90f97"} +{"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 \\\"smoker\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"smoker\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"smoker\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"smoker\\\" IS NOT NULL\\n AND \\\"age\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"smoker\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.9) AS \\\"pos\\\",\\n CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INTEGER) + CASE\\n WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.9) > CAST(1.0 + (\\\"cnt\\\" - 1) * 0.9 AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"smoker\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"age_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"age_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ordered\\\" AS o\\n ON o.\\\"smoker\\\" = p.\\\"smoker\\\"\\n GROUP BY\\n p.\\\"smoker\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"smoker\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates the template's 0.9 percentile in SQLite using window functions and linear interpolation (PERCENTILE_CONT-style) over age grouped by smoker.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13709,"cached_input_tokens":12672,"output_tokens":1100,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2059a08a0509ba26110d4da5a6b9f6d914014bc1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"smoker\",\n CAST(\"age\" AS REAL) AS \"age_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"smoker\"\n ORDER BY CAST(\"age\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"smoker\"\n ) AS \"cnt\"\n FROM \"m4\"\n WHERE \"smoker\" IS NOT NULL\n AND \"age\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"smoker\",\n (1.0 + (\"cnt\" - 1) * 0.9) AS \"pos\",\n CAST(1.0 + (\"cnt\" - 1) * 0.9 AS INTEGER) AS \"lower_rn\",\n CAST(1.0 + (\"cnt\" - 1) * 0.9 AS INTEGER) + CASE\n WHEN (1.0 + (\"cnt\" - 1) * 0.9) > CAST(1.0 + (\"cnt\" - 1) * 0.9 AS INTEGER) THEN 1\n ELSE 0\n END AS \"upper_rn\"\n FROM \"ordered\"\n),\n\"bounds\" AS (\n SELECT\n p.\"smoker\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"age_value\" END) AS \"lower_value\",\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"age_value\" END) AS \"upper_value\"\n FROM \"positions\" AS p\n JOIN \"ordered\" AS o\n ON o.\"smoker\" = p.\"smoker\"\n GROUP BY\n p.\"smoker\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"smoker\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates the template's 0.9 percentile in SQLite using window functions and linear interpolation (PERCENTILE_CONT-style) over age grouped by smoker."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_823141da7e8faa47/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d597273b8f84c9652eb9acd6f6a93503e70c9c9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/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=children, measure_col=bmi. +Result preview: [{"children": "5", "charges": "10096.97", "total_measure": 103.2, "share_within_group": 8.497813789185049}, {"children": "5", "charges": "5615.369", "total_measure": 97.2, "share_within_group": 8.00375484795336}, {"children": "5", "charges": "8965.79575", "total_measure": 96.9, "share_within_group": 7.979051900891776}, {"children": "5", "charges": "12592.5345", "total_measure": 93.5, "share_within_group": 7.699085167527152}, {"children": "4", "charges": "6059.173", "total_measure": 117.6, "share_within_group": 7.221990223292147}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0bef8f254173868a147b0876fa757780777121bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m4_8271c3f06f71538f +-- problem_id: v2p_m4_40921120e3061d34 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", "charges", + SUM(CAST("bmi" AS REAL)) AS total_measure, + SUM(CAST("bmi" AS REAL)) * 100.0 / SUM(SUM(CAST("bmi" AS REAL))) OVER (PARTITION BY "children") AS share_within_group +FROM "m4" +GROUP BY "children", "charges" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..420a0d5c2ba7bc18238a04d9b10f3327d37cd0b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"children\", \"charges\",\n SUM(CAST(\"bmi\" AS REAL)) AS total_measure,\n SUM(CAST(\"bmi\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"bmi\" AS REAL))) OVER (PARTITION BY \"children\") AS share_within_group\nFROM \"m4\"\nGROUP BY \"children\", \"charges\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"children\\\", \\\"charges\\\",\\n SUM(CAST(\\\"bmi\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"bmi\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"bmi\\\" AS REAL))) OVER (PARTITION BY \\\"children\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\", \\\"charges\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"children\", \"charges\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"children\": \"5\", \"charges\": \"10096.97\", \"total_measure\": 103.2, \"share_within_group\": 8.497813789185049}, {\"children\": \"5\", \"charges\": \"5615.369\", \"total_measure\": 97.2, \"share_within_group\": 8.00375484795336}, {\"children\": \"5\", \"charges\": \"8965.79575\", \"total_measure\": 96.9, \"share_within_group\": 7.979051900891776}, {\"children\": \"5\", \"charges\": \"12592.5345\", \"total_measure\": 93.5, \"share_within_group\": 7.699085167527152}, {\"children\": \"4\", \"charges\": \"6059.173\", \"total_measure\": 117.6, \"share_within_group\": 7.221990223292147}, {\"children\": \"5\", \"charges\": \"6666.243\", \"total_measure\": 84.8, \"share_within_group\": 6.982699702741203}, {\"children\": \"5\", \"charges\": \"4830.63\", \"total_measure\": 74.0, \"share_within_group\": 6.093393608524163}, {\"children\": \"5\", \"charges\": \"8596.8278\", \"total_measure\": 68.64, \"share_within_group\": 5.652034287690521}, {\"children\": \"5\", \"charges\": \"6653.7886\", \"total_measure\": 66.88, \"share_within_group\": 5.507110331595892}, {\"children\": \"5\", \"charges\": \"11552.904\", \"total_measure\": 63.8, \"share_within_group\": 5.253493408430292}, {\"children\": \"4\", \"charges\": \"10977.2063\", \"total_measure\": 82.94, \"share_within_group\": 5.093468274828663}, {\"children\": \"4\", \"charges\": \"11033.6617\", \"total_measure\": 82.46, \"share_within_group\": 5.063990763713184}, {\"children\": \"5\", \"charges\": \"4915.05985\", \"total_measure\": 60.23, \"share_within_group\": 4.959528338397437}, {\"children\": \"5\", \"charges\": \"9222.4026\", \"total_measure\": 59.28, \"share_within_group\": 4.881302339369086}, {\"children\": \"4\", \"charges\": \"19496.71917\", \"total_measure\": 79.42, \"share_within_group\": 4.8772998599818225}, {\"children\": \"5\", \"charges\": \"4687.797\", \"total_measure\": 57.2, \"share_within_group\": 4.7100285730754345}, {\"children\": \"5\", \"charges\": \"6799.458\", \"total_measure\": 57.0, \"share_within_group\": 4.693559941701045}, {\"children\": \"4\", \"charges\": \"10736.87075\", \"total_measure\": 71.25, \"share_within_group\": 4.375568056203788}, {\"children\": \"5\", \"charges\": \"14478.33015\", \"total_measure\": 51.04, \"share_within_group\": 4.202794726744234}, {\"children\": \"4\", \"charges\": \"40182.246\", \"total_measure\": 68.2, \"share_within_group\": 4.188263037657521}, {\"children\": \"4\", \"charges\": \"11299.343\", \"total_measure\": 67.4, \"share_within_group\": 4.139133852465058}, {\"children\": \"4\", \"charges\": \"12949.1554\", \"total_measure\": 67.32, \"share_within_group\": 4.1342209339458105}, {\"children\": \"4\", \"charges\": \"4504.6624\", \"total_measure\": 67.32, \"share_within_group\": 4.1342209339458105}, {\"children\": \"4\", \"charges\": \"17128.42608\", \"total_measure\": 67.26, \"share_within_group\": 4.130536245056376}, {\"children\": \"4\", \"charges\": \"36580.28216\", \"total_measure\": 66.66, \"share_within_group\": 4.093689356162028}, {\"children\": \"5\", \"charges\": \"9788.8659\", \"total_measure\": 48.62, \"share_within_group\": 4.003524287114119}, {\"children\": \"5\", \"charges\": \"5080.096\", \"total_measure\": 47.8, \"share_within_group\": 3.9360028984791215}, {\"children\": \"5\", \"charges\": \"8582.3023\", \"total_measure\": 47.74, \"share_within_group\": 3.931062309066805}, {\"children\": \"4\", \"charges\": \"4561.1885\", \"total_measure\": 62.7, \"share_within_group\": 3.8504998894593334}, {\"children\": \"4\", \"charges\": \"8162.71625\", \"total_measure\": 61.75, \"share_within_group\": 3.792158982043283}, {\"children\": \"4\", \"charges\": \"24671.66334\", \"total_measure\": 59.28, \"share_within_group\": 3.6404726227615516}, {\"children\": \"4\", \"charges\": \"7512.267\", \"total_measure\": 59.2, \"share_within_group\": 3.6355597042423056}, {\"children\": \"4\", \"charges\": \"15828.82173\", \"total_measure\": 58.6, \"share_within_group\": 3.5987128153479575}, {\"children\": \"4\", \"charges\": \"7243.8136\", \"total_measure\": 58.08, \"share_within_group\": 3.5667788449728564}, {\"children\": \"4\", \"charges\": \"14394.39815\", \"total_measure\": 57.57, \"share_within_group\": 3.535458989412661}, {\"children\": \"4\", \"charges\": \"10407.08585\", \"total_measure\": 56.43, \"share_within_group\": 3.4654499005134003}, {\"children\": \"4\", \"charges\": \"21472.4788\", \"total_measure\": 56.24, \"share_within_group\": 3.4537817190301903}, {\"children\": \"4\", \"charges\": \"11015.1747\", \"total_measure\": 55.86, \"share_within_group\": 3.4304453560637698}, {\"children\": \"4\", \"charges\": \"4877.98105\", \"total_measure\": 53.39, \"share_within_group\": 3.2787589967820385}, {\"children\": \"4\", \"charges\": \"17942.106\", \"total_measure\": 51.4, \"share_within_group\": 3.156550148615785}, {\"children\": \"4\", \"charges\": \"5708.867\", \"total_measure\": 51.2, \"share_within_group\": 3.1442678523176695}, {\"children\": \"5\", \"charges\": \"19023.26\", \"total_measure\": 36.6, \"share_within_group\": 3.0137595415133025}, {\"children\": \"4\", \"charges\": \"11520.09985\", \"total_measure\": 48.83, \"share_within_group\": 2.998722641184996}, {\"children\": \"3\", \"charges\": \"12495.29085\", \"total_measure\": 143.26, \"share_within_group\": 1.445913975889995}, {\"children\": \"3\", \"charges\": \"35595.5898\", \"total_measure\": 124.08, \"share_within_group\": 1.2523314681588062}, {\"children\": \"2\", \"charges\": \"47269.854\", \"total_measure\": 167.2, \"share_within_group\": 1.0861543898306847}, {\"children\": \"3\", \"charges\": \"9101.798\", \"total_measure\": 102.8, \"share_within_group\": 1.0375537953475604}, {\"children\": \"2\", \"charges\": \"4673.3922\", \"total_measure\": 148.72, \"share_within_group\": 0.9661057467441353}, {\"children\": \"2\", \"charges\": \"49577.6624\", \"total_measure\": 147.84, \"share_within_group\": 0.9603891446923948}, {\"children\": \"3\", \"charges\": \"6435.6237\", \"total_measure\": 93.06, \"share_within_group\": 0.9392486011191047}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 14.15}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0dda1029fbd3abbd2e6178b9c89ee8b2ccaad05a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:32:19.486575+00:00", + "ended_at": "2026-05-19T15:32:30.173402+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_8271c3f06f71538f", + "problem_id": "v2p_m4_40921120e3061d34", + "dataset_id": "m4", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=children, measure_col=bmi.", + "bindings": { + "group_col": "children", + "measure_col": "bmi", + "item_col": "charges", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=25" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_8271c3f06f71538f.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_8271c3f06f71538f", + "api_calls": 0, + "input_tokens": 13787, + "cached_input_tokens": 12672, + "output_tokens": 464, + "total_tokens": 14251, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10666.6, + "sql_execution_elapsed_ms_total": 14.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5e2521dfba011cd0cfa84707d95fdc2e509676af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:30.155983+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10666.6, "started_at": "2026-05-19T15:32:19.487774+00:00", "ended_at": "2026-05-19T15:32:30.154411+00:00", "prompt_metrics": {"chars": 5699, "bytes_utf8": 5699, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 545, "bytes_utf8": 545, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13787, "cached_input_tokens": 12672, "output_tokens": 464, "reasoning_output_tokens": 309}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"children\\\", \\\"charges\\\",\\n SUM(CAST(\\\"bmi\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"bmi\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"bmi\\\" AS REAL))) OVER (PARTITION BY \\\"children\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\", \\\"charges\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the required template with group_col=\\\"children\\\", item_col=\\\"charges\\\", and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" to REAL because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a1361b4c63f3ad1ecbdd59ed5d39a23afeb4b35a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_8271c3f06f71538f", + "api_calls": 0, + "input_tokens": 13787, + "cached_input_tokens": 12672, + "output_tokens": 464, + "total_tokens": 14251, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10666.6, + "sql_execution_elapsed_ms_total": 14.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8271c3f06f71538f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f4859892b7e02f635fef2cd49a89b3f44f1fd63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/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=sex, measure_col=age. +Result preview: [{"sex": "male", "total_measure": 54480.0}, {"sex": "female", "total_measure": 53932.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c337a0e8cb6d325b674f0aa3f47ae748100c90b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m4_8389d906f1a5172f +-- problem_id: v2p_m4_868c3df42fa8ea39 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", SUM(CAST("age" AS REAL)) AS "total_measure" +FROM "m4" +GROUP BY "sex" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f92af9e61118f355493d70f8a3e937042db4f574 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/query_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 \"sex\", SUM(CAST(\"age\" AS REAL)) AS \"total_measure\"\nFROM \"m4\"\nGROUP BY \"sex\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"sex\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"sex\", \"total_measure\"], \"rows\": [{\"sex\": \"male\", \"total_measure\": 54480.0}, {\"sex\": \"female\", \"total_measure\": 53932.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7c5c6280e850de395e2b87006463fa7fd1d12bb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:28:18.005657+00:00", + "ended_at": "2026-05-19T15:28:27.441845+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_8389d906f1a5172f", + "problem_id": "v2p_m4_868c3df42fa8ea39", + "dataset_id": "m4", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_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=sex, measure_col=age.", + "bindings": { + "group_col": "sex", + "measure_col": "age", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, 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_d/m4/sql/v2q_m4_8389d906f1a5172f.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_8389d906f1a5172f", + "api_calls": 0, + "input_tokens": 13669, + "cached_input_tokens": 12288, + "output_tokens": 324, + "total_tokens": 13993, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9431.42, + "sql_execution_elapsed_ms_total": 1.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..be27145906ec8ca1c7842725481a797012c906c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:27.438815+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9431.42, "started_at": "2026-05-19T15:28:18.006491+00:00", "ended_at": "2026-05-19T15:28:27.437941+00:00", "prompt_metrics": {"chars": 5284, "bytes_utf8": 5284, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 347, "bytes_utf8": 347, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13669, "cached_input_tokens": 12288, "output_tokens": 324, "reasoning_output_tokens": 226}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"sex\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"sex\\\" and measure_col=\\\"age\\\"; cast \\\"age\\\" from TEXT to REAL for numeric aggregation in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7c536b311f15024d3226f462a92ddd6cd5ccb5aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_8389d906f1a5172f", + "api_calls": 0, + "input_tokens": 13669, + "cached_input_tokens": 12288, + "output_tokens": 324, + "total_tokens": 13993, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9431.42, + "sql_execution_elapsed_ms_total": 1.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8389d906f1a5172f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a3d88892b73fe51915bb910958b9413636573b8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5480, "bytes_utf8": 5480, "lines": 180, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 548, "bytes_utf8": 550, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13707, "cached_input_tokens": 12672, "output_tokens": 586, "reasoning_output_tokens": 448}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..687077e5ad43e0ab13b8f63d6c4fada12d4af311 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_8423d8d29605e103", + "api_calls": 0, + "input_tokens": 13707, + "cached_input_tokens": 12672, + "output_tokens": 586, + "total_tokens": 14293, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13190.42, + "sql_execution_elapsed_ms_total": 1.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c87ddca97b32932cfcfb7d117e600ce38503a266 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:50.750867+00:00", + "ended_at": "2026-05-19T15:51:03.941308+00:00", + "elapsed_ms": 13190.42, + "prompt_metrics": { + "chars": 5480, + "bytes_utf8": 5480, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 913, + "bytes_utf8": 915, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 548, + "bytes_utf8": 550, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13707, + "cached_input_tokens": 12672, + "output_tokens": 586, + "reasoning_output_tokens": 448 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3f7e0ce5536b9ec8e2cd85ce29500b61780a7f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=children, measure_col=children.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "children", + "measure_col": "children", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e8fb398fe7dbf78ffd778586383f89c0419606de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-c782-75e0-9ac4-8ebeb36d3b31"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n \\\"children\\\",\\n MAX(CAST(\\\"children\\\" AS REAL)) AS \\\"percentile_measure\\\"\\nFROM \\\"m4\\\"\\nWHERE \\\"children\\\" IS NOT NULL\\nGROUP BY \\\"children\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT. Because both group_col and measure_col are \\\"children\\\", every row within a group has the same measure value, so the 90th percentile within each group is exactly that group’s children value. CAST to REAL is used because the column is stored as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13707,"cached_input_tokens":12672,"output_tokens":586,"reasoning_output_tokens":448}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c86e9874f9771e1173110d54eeb65c3488514ef2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n \"children\",\n MAX(CAST(\"children\" AS REAL)) AS \"percentile_measure\"\nFROM \"m4\"\nWHERE \"children\" IS NOT NULL\nGROUP BY \"children\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT. Because both group_col and measure_col are \"children\", every row within a group has the same measure value, so the 90th percentile within each group is exactly that group’s children value. CAST to REAL is used because the column is stored as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8423d8d29605e103/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c0dc8ec7f7bb2cb0011b5e4196fcbf28be97a40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=sex, measure_col=age. +Result preview: [{"sex": "female", "percentile_measure": 59.0}, {"sex": "male", "percentile_measure": 58.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4d2cb92a0038c924527b3d345ab3bb492f2c70e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/generated_sql.sql @@ -0,0 +1,66 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m4_856ad6048f46bcbb +-- problem_id: v2p_m4_e572e9f65bb208f2 +-- realization_mode: agent +-- source_kind: agent +WITH "ordered" AS ( + SELECT + "sex", + CAST("age" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "sex" + ORDER BY CAST("age" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "sex" + ) AS "cnt" + FROM "m4" + WHERE "sex" IS NOT NULL + AND TRIM("sex") <> '' + AND "age" IS NOT NULL + AND TRIM("age") <> '' +), +"positions" AS ( + SELECT DISTINCT + "sex", + (1.0 + (0.9 * ("cnt" - 1))) AS "pos", + CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) AS "lo_rn", + CASE + WHEN (1.0 + (0.9 * ("cnt" - 1))) = CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) + THEN CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) + ELSE CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) + 1 + END AS "hi_rn" + FROM "ordered" +), +"bounds" AS ( + SELECT + p."sex", + p."pos", + p."lo_rn", + p."hi_rn", + lo."measure_value" AS "lo_value", + hi."measure_value" AS "hi_value" + FROM "positions" AS p + JOIN "ordered" AS lo + ON lo."sex" = p."sex" + AND lo."rn" = p."lo_rn" + JOIN "ordered" AS hi + ON hi."sex" = p."sex" + AND hi."rn" = p."hi_rn" +) +SELECT + "sex", + CASE + WHEN "lo_rn" = "hi_rn" THEN "lo_value" + ELSE "lo_value" + (("pos" - "lo_rn") * ("hi_value" - "lo_value")) + END AS "percentile_measure" +FROM "bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a75f922f885c66771562115453277fcb84114932 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/query_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 \"sex\",\n CAST(\"age\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"sex\"\n ORDER BY CAST(\"age\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"sex\"\n ) AS \"cnt\"\n FROM \"m4\"\n WHERE \"sex\" IS NOT NULL\n AND TRIM(\"sex\") <> ''\n AND \"age\" IS NOT NULL\n AND TRIM(\"age\") <> ''\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"sex\",\n (1.0 + (0.9 * (\"cnt\" - 1))) AS \"pos\",\n CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER) AS \"lo_rn\",\n CASE\n WHEN (1.0 + (0.9 * (\"cnt\" - 1))) = CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER)\n THEN CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER)\n ELSE CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER) + 1\n END AS \"hi_rn\"\n FROM \"ordered\"\n),\n\"bounds\" AS (\n SELECT\n p.\"sex\",\n p.\"pos\",\n p.\"lo_rn\",\n p.\"hi_rn\",\n lo.\"measure_value\" AS \"lo_value\",\n hi.\"measure_value\" AS \"hi_value\"\n FROM \"positions\" AS p\n JOIN \"ordered\" AS lo\n ON lo.\"sex\" = p.\"sex\"\n AND lo.\"rn\" = p.\"lo_rn\"\n JOIN \"ordered\" AS hi\n ON hi.\"sex\" = p.\"sex\"\n AND hi.\"rn\" = p.\"hi_rn\"\n)\nSELECT\n \"sex\",\n CASE\n WHEN \"lo_rn\" = \"hi_rn\" THEN \"lo_value\"\n ELSE \"lo_value\" + ((\"pos\" - \"lo_rn\") * (\"hi_value\" - \"lo_value\"))\n END AS \"percentile_measure\"\nFROM \"bounds\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"sex\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"sex\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"sex\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"sex\\\" IS NOT NULL\\n AND TRIM(\\\"sex\\\") <> ''\\n AND \\\"age\\\" IS NOT NULL\\n AND TRIM(\\\"age\\\") <> ''\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"sex\\\",\\n (1.0 + (0.9 * (\\\"cnt\\\" - 1))) AS \\\"pos\\\",\\n CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN (1.0 + (0.9 * (\\\"cnt\\\" - 1))) = CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n THEN CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n ELSE CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"sex\\\",\\n p.\\\"pos\\\",\\n p.\\\"lo_rn\\\",\\n p.\\\"hi_rn\\\",\\n lo.\\\"measure_value\\\" AS \\\"lo_value\\\",\\n hi.\\\"measure_value\\\" AS \\\"hi_value\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ordered\\\" AS lo\\n ON lo.\\\"sex\\\" = p.\\\"sex\\\"\\n AND lo.\\\"rn\\\" = p.\\\"lo_rn\\\"\\n JOIN \\\"ordered\\\" AS hi\\n ON hi.\\\"sex\\\" = p.\\\"sex\\\"\\n AND hi.\\\"rn\\\" = p.\\\"hi_rn\\\"\\n)\\nSELECT\\n \\\"sex\\\",\\n CASE\\n WHEN \\\"lo_rn\\\" = \\\"hi_rn\\\" THEN \\\"lo_value\\\"\\n ELSE \\\"lo_value\\\" + ((\\\"pos\\\" - \\\"lo_rn\\\") * (\\\"hi_value\\\" - \\\"lo_value\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"sex\", \"percentile_measure\"], \"rows\": [{\"sex\": \"female\", \"percentile_measure\": 59.0}, {\"sex\": \"male\", \"percentile_measure\": 58.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 14.18}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9499d80d495b74320483625a6b129c95f35fb848 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:45:11.888506+00:00", + "ended_at": "2026-05-19T15:45:51.810721+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_856ad6048f46bcbb", + "problem_id": "v2p_m4_e572e9f65bb208f2", + "dataset_id": "m4", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=sex, measure_col=age.", + "bindings": { + "group_col": "sex", + "measure_col": "age", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=84" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_856ad6048f46bcbb.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_856ad6048f46bcbb", + "api_calls": 0, + "input_tokens": 13707, + "cached_input_tokens": 12672, + "output_tokens": 2024, + "total_tokens": 15731, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 39904.35, + "sql_execution_elapsed_ms_total": 14.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..43c41a249de44a899706baf325ca08557afeb7c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:51.794859+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 39904.35, "started_at": "2026-05-19T15:45:11.889423+00:00", "ended_at": "2026-05-19T15:45:51.793794+00:00", "prompt_metrics": {"chars": 5463, "bytes_utf8": 5463, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 1735, "bytes_utf8": 1735, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13707, "cached_input_tokens": 12672, "output_tokens": 2024, "reasoning_output_tokens": 1416}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"sex\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"sex\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"sex\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"sex\\\" IS NOT NULL\\n AND TRIM(\\\"sex\\\") <> ''\\n AND \\\"age\\\" IS NOT NULL\\n AND TRIM(\\\"age\\\") <> ''\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"sex\\\",\\n (1.0 + (0.9 * (\\\"cnt\\\" - 1))) AS \\\"pos\\\",\\n CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN (1.0 + (0.9 * (\\\"cnt\\\" - 1))) = CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n THEN CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n ELSE CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n p.\\\"sex\\\",\\n p.\\\"pos\\\",\\n p.\\\"lo_rn\\\",\\n p.\\\"hi_rn\\\",\\n lo.\\\"measur"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2d37d6d60199b0abe2ab0a2eb3d9f21dd428af76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_856ad6048f46bcbb", + "api_calls": 0, + "input_tokens": 13707, + "cached_input_tokens": 12672, + "output_tokens": 2024, + "total_tokens": 15731, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 39904.35, + "sql_execution_elapsed_ms_total": 14.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_856ad6048f46bcbb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..21c643404060ba10cab1fb3a93bd9ed019efa328 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=smoker. +Result preview: [{"smoker": "yes", "support": 564}, {"smoker": "no", "support": 2208}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..db9d0bbf0ff59e759f5f78209269da3272e10fcc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m4_85948952a1ad04a1 +-- problem_id: v2p_m4_1f80490f79a03b95 +-- realization_mode: agent +-- source_kind: agent +SELECT + "smoker", + COUNT(*) AS support +FROM "m4" +GROUP BY "smoker" +ORDER BY support ASC, "smoker" +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f60fb6d2b99c7fadd3c149a2a5c096bbe699a066 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"smoker\",\n COUNT(*) AS support\nFROM \"m4\"\nGROUP BY \"smoker\"\nORDER BY support ASC, \"smoker\"\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"smoker\\\",\\n COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY support ASC, \\\"smoker\\\"\\nLIMIT 12;\", \"columns\": [\"smoker\", \"support\"], \"rows\": [{\"smoker\": \"yes\", \"support\": 564}, {\"smoker\": \"no\", \"support\": 2208}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.49}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dace6bd10a1b4f5f581241e9f69cf2c89a3a258b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:57:39.157703+00:00", + "ended_at": "2026-05-19T15:57:49.816824+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_85948952a1ad04a1", + "problem_id": "v2p_m4_1f80490f79a03b95", + "dataset_id": "m4", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=smoker.", + "bindings": { + "group_col": "smoker", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "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_d/m4/sql/v2q_m4_85948952a1ad04a1.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_85948952a1ad04a1", + "api_calls": 0, + "input_tokens": 13684, + "cached_input_tokens": 12672, + "output_tokens": 254, + "total_tokens": 13938, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10654.67, + "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_d/m4/artifacts/v2q_m4_85948952a1ad04a1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5595b0c169b341ecab8b1ac470e432e8284c9cb7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:57:49.813982+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10654.67, "started_at": "2026-05-19T15:57:39.158597+00:00", "ended_at": "2026-05-19T15:57:49.813289+00:00", "prompt_metrics": {"chars": 5288, "bytes_utf8": 5288, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 307, "bytes_utf8": 307, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13684, "cached_input_tokens": 12672, "output_tokens": 254, "reasoning_output_tokens": 169}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"smoker\\\",\\n COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY support ASC, \\\"smoker\\\"\\nLIMIT 12;\",\"notes\":\"Counts rows by smoker status and returns the lowest-support groups first, following the provided template.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..656f99ca868af12bc1aacd7e3d0192783afdfcb7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_85948952a1ad04a1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_85948952a1ad04a1", + "api_calls": 0, + "input_tokens": 13684, + "cached_input_tokens": 12672, + "output_tokens": 254, + "total_tokens": 13938, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10654.67, + "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_d/m4/artifacts/v2q_m4_85948952a1ad04a1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_87241b76085877ca/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_87241b76085877ca/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..82b6389c6f09eef7ff0e24a2c22be39f6eeee61d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_87241b76085877ca/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"bmi": "32.3", "support": 26, "avg_response": 50.23076923076923}, {"bmi": "28.31", "support": 18, "avg_response": 38.333333333333336}, {"bmi": "30.495", "support": 16, "avg_response": 44.75}, {"bmi": "30.8", "support": 16, "avg_response": 44.625}, {"bmi": "31.35", "support": 16, "avg_response": 40.375}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_87241b76085877ca/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_87241b76085877ca/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c38b9eebfe8ead99bf5515bf1fffdf8fe7d9cf32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_87241b76085877ca/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m4_87241b76085877ca +-- problem_id: v2p_m4_b758f9d57f3d37e0 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "bmi", + COUNT(*) AS support, + AVG("age") AS avg_response +FROM "m4" +GROUP BY "bmi" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_87241b76085877ca/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_87241b76085877ca/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..85eb20e695e59f72fc30485e00f46a8c9b9a91c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_87241b76085877ca/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: m4\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m4_87241b76085877ca\n-- problem_id: v2p_m4_b758f9d57f3d37e0\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"bmi\",\n COUNT(*) AS support,\n AVG(\"age\") AS avg_response\nFROM \"m4\"\nGROUP BY \"bmi\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: m4\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m4_87241b76085877ca\\n-- problem_id: v2p_m4_b758f9d57f3d37e0\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"bmi\\\",\\n COUNT(*) AS support,\\n AVG(\\\"age\\\") AS avg_response\\nFROM \\\"m4\\\"\\nGROUP BY \\\"bmi\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"bmi\", \"support\", \"avg_response\"], \"rows\": [{\"bmi\": \"32.3\", \"support\": 26, \"avg_response\": 50.23076923076923}, {\"bmi\": \"28.31\", \"support\": 18, \"avg_response\": 38.333333333333336}, {\"bmi\": \"30.495\", \"support\": 16, \"avg_response\": 44.75}, {\"bmi\": \"30.8\", \"support\": 16, \"avg_response\": 44.625}, {\"bmi\": \"31.35\", \"support\": 16, \"avg_response\": 40.375}, {\"bmi\": \"30.875\", \"support\": 16, \"avg_response\": 39.0}, {\"bmi\": \"34.1\", \"support\": 16, \"avg_response\": 37.125}, {\"bmi\": \"28.88\", \"support\": 16, \"avg_response\": 36.5}, {\"bmi\": \"25.8\", \"support\": 16, \"avg_response\": 36.375}, {\"bmi\": \"33.33\", \"support\": 16, \"avg_response\": 33.875}, {\"bmi\": \"24.32\", \"support\": 14, \"avg_response\": 48.142857142857146}, {\"bmi\": \"27.5\", \"support\": 14, \"avg_response\": 46.857142857142854}, {\"bmi\": \"32.775\", \"support\": 14, \"avg_response\": 46.714285714285715}, {\"bmi\": \"38.06\", \"support\": 14, \"avg_response\": 46.142857142857146}, {\"bmi\": \"25.46\", \"support\": 14, \"avg_response\": 43.857142857142854}, {\"bmi\": \"27.645\", \"support\": 14, \"avg_response\": 43.714285714285715}, {\"bmi\": \"35.2\", \"support\": 14, \"avg_response\": 40.857142857142854}, {\"bmi\": \"33.63\", \"support\": 14, \"avg_response\": 39.42857142857143}, {\"bmi\": \"32.11\", \"support\": 14, \"avg_response\": 38.142857142857146}, {\"bmi\": \"27.36\", \"support\": 14, \"avg_response\": 36.42857142857143}, {\"bmi\": \"34.8\", \"support\": 14, \"avg_response\": 33.857142857142854}, {\"bmi\": \"30.59\", \"support\": 14, \"avg_response\": 24.285714285714285}, {\"bmi\": \"26.41\", \"support\": 12, \"avg_response\": 47.333333333333336}, {\"bmi\": \"30.78\", \"support\": 12, \"avg_response\": 46.5}, {\"bmi\": \"26.6\", \"support\": 12, \"avg_response\": 45.333333333333336}, {\"bmi\": \"29.83\", \"support\": 12, \"avg_response\": 45.166666666666664}, {\"bmi\": \"27.74\", \"support\": 12, \"avg_response\": 44.666666666666664}, {\"bmi\": \"28.595\", \"support\": 12, \"avg_response\": 44.333333333333336}, {\"bmi\": \"30.2\", \"support\": 12, \"avg_response\": 43.333333333333336}, {\"bmi\": \"37.1\", \"support\": 12, \"avg_response\": 41.666666666666664}, {\"bmi\": \"29.92\", \"support\": 12, \"avg_response\": 41.166666666666664}, {\"bmi\": \"34.2\", \"support\": 12, \"avg_response\": 38.5}, {\"bmi\": \"19.95\", \"support\": 12, \"avg_response\": 38.333333333333336}, {\"bmi\": \"35.3\", \"support\": 12, \"avg_response\": 38.166666666666664}, {\"bmi\": \"30.115\", \"support\": 12, \"avg_response\": 35.5}, {\"bmi\": \"31.73\", \"support\": 12, \"avg_response\": 34.333333333333336}, {\"bmi\": \"42.13\", \"support\": 12, \"avg_response\": 32.5}, {\"bmi\": \"33\", \"support\": 12, \"avg_response\": 31.833333333333332}, {\"bmi\": \"25.175\", \"support\": 12, \"avg_response\": 31.5}, {\"bmi\": \"35.53\", \"support\": 12, \"avg_response\": 29.666666666666668}, {\"bmi\": \"23.21\", \"support\": 12, \"avg_response\": 26.5}, {\"bmi\": \"26.03\", \"support\": 12, \"avg_response\": 26.333333333333332}, {\"bmi\": \"31.825\", \"support\": 10, \"avg_response\": 49.6}, {\"bmi\": \"26.695\", \"support\": 10, \"avg_response\": 47.0}, {\"bmi\": \"25.3\", \"support\": 10, \"avg_response\": 46.8}, {\"bmi\": \"28.7\", \"support\": 10, \"avg_response\": 46.0}, {\"bmi\": \"28.215\", \"support\": 10, \"avg_response\": 45.6}, {\"bmi\": \"25.08\", \"support\": 10, \"avg_response\": 45.0}, {\"bmi\": \"29.7\", \"support\": 10, \"avg_response\": 44.6}, {\"bmi\": \"35.815\", \"support\": 10, \"avg_response\": 44.4}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 1.91}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_87241b76085877ca/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_87241b76085877ca/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c0c950a13b401367dc64e7f28de50485bfabf3c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_87241b76085877ca/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:40.757773+00:00", + "ended_at": "2026-05-19T16:01:40.760444+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_87241b76085877ca", + "problem_id": "v2p_m4_b758f9d57f3d37e0", + "dataset_id": "m4", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=age, key_col=bmi.", + "bindings": { + "key_col": "bmi", + "measure_col": "age", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=3", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_87241b76085877ca.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_87241b76085877ca/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_87241b76085877ca/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_87241b76085877ca/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a72a5bedd36285e276b660f67d4a6cf9a7984498 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5474, "bytes_utf8": 5474, "lines": 178, "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": 488, "bytes_utf8": 488, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13724, "cached_input_tokens": 12032, "output_tokens": 532, "reasoning_output_tokens": 403}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..db5bc891ed9e7adefae715a7a4623d0ae450bc73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_8848815575227678", + "api_calls": 0, + "input_tokens": 13724, + "cached_input_tokens": 12032, + "output_tokens": 532, + "total_tokens": 14256, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12213.55, + "sql_execution_elapsed_ms_total": 3.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b830ba1c8b8b0b8bc5c99906e348d3f3c5219477 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:11.508206+00:00", + "ended_at": "2026-05-19T15:40:23.721792+00:00", + "elapsed_ms": 12213.55, + "prompt_metrics": { + "chars": 5474, + "bytes_utf8": 5474, + "lines": 178, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 848, + "bytes_utf8": 848, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 488, + "bytes_utf8": 488, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13724, + "cached_input_tokens": 12032, + "output_tokens": 532, + "reasoning_output_tokens": 403 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8d01619bc9de46d322fb0783f7864d37cc5695a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=children.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "children", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc8b2fd808dd5be5a280661aabc634c48dcbc70f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-066d-7b72-9738-0814e0b9732a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"children\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"children\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"m4\\\"\\n)\\nSELECT \\\"children\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"children\\\" AS INTEGER) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col=\\\"children\\\" and num_tiles=10. CAST to INTEGER is used because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13724,"cached_input_tokens":12032,"output_tokens":532,"reasoning_output_tokens":403}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c51c978ab8af474c3494d4ae646bc5c2ca7a094 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"children\",\n NTILE(10) OVER (ORDER BY CAST(\"children\" AS INTEGER) DESC) AS tail_bucket\n FROM \"m4\"\n)\nSELECT \"children\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"children\" AS INTEGER) DESC;","notes":"Applied the Quantile Tail Slice template with measure_col=\"children\" and num_tiles=10. CAST to INTEGER is used because the schema stores numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8848815575227678/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7f1e231e078b44dcebb39f112d6e6f8082eaecb4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5844, "bytes_utf8": 5844, "lines": 180, "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": 13807, "cached_input_tokens": 12672, "output_tokens": 335, "reasoning_output_tokens": 173}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f2ec6aa5b3e5dc7f381006c6c6809f2b452894ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_8f546c7b03b4a889", + "api_calls": 0, + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 335, + "total_tokens": 14142, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13004.59, + "sql_execution_elapsed_ms_total": 2.7, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..87483179dd60849e594f918ad63b9440958ff1e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/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": "2026-05-19T15:44:05.237590+00:00", + "ended_at": "2026-05-19T15:44:18.242202+00:00", + "elapsed_ms": 13004.59, + "prompt_metrics": { + "chars": 5844, + "bytes_utf8": 5844, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1293, + "bytes_utf8": 1293, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 589, + "bytes_utf8": 589, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 335, + "reasoning_output_tokens": 173 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..499b0e46afa648bbc10a319340f12393132def30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=smoker, measure_col=age.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "smoker", + "measure_col": "age", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5cbfcb24c228319fd2f95dc291f03a283b05400 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e8-979b-72b3-840a-82e94860ea56"} +{"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 1989162, Requested 14442. Please try again in 108ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"smoker\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"smoker\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"smoker\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided template with group_col=\\\"smoker\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" to REAL because the schema stores numeric fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13807,"cached_input_tokens":12672,"output_tokens":335,"reasoning_output_tokens":173}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1bd0abd628fb6f7223a3a55c29968885ee5e07f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"smoker\", SUM(CAST(\"age\" AS REAL)) AS group_value\n FROM \"m4\"\n GROUP BY \"smoker\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"smoker\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Applied the provided template with group_col=\"smoker\" and measure_col=\"age\". Cast \"age\" to REAL because the schema stores numeric fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_8f546c7b03b4a889/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..acc3e23aa14fcdce4c67d46e34e6f6b7543f298d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=region, measure_col=bmi. +Result preview: [{"region": "southeast", "group_value": 25644.74}, {"region": "southwest", "group_value": 20919.8}, {"region": "northwest", "group_value": 19353.78}, {"region": "northeast", "group_value": 19185.82}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..019a7467caa3d9fe7d588130e4712539bb487ae9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m4_900883c1613cc6a8 +-- problem_id: v2p_m4_76f5932ed66950ba +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "region", SUM(CAST("bmi" AS REAL)) AS group_value + FROM "m4" + GROUP BY "region" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."region", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3fb21ed26e97b797758f2c3a5c15cf77387731b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"region\", SUM(CAST(\"bmi\" AS REAL)) AS group_value\n FROM \"m4\"\n GROUP BY \"region\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"region\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"region\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"region\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"region\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\", \"columns\": [\"region\", \"group_value\"], \"rows\": [{\"region\": \"southeast\", \"group_value\": 25644.74}, {\"region\": \"southwest\", \"group_value\": 20919.8}, {\"region\": \"northwest\", \"group_value\": 19353.78}, {\"region\": \"northeast\", \"group_value\": 19185.82}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.56}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2c6a6128b8dabd2cdd974bfa39abdc3d38a2277a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:44:32.103317+00:00", + "ended_at": "2026-05-19T15:44:42.581053+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_900883c1613cc6a8", + "problem_id": "v2p_m4_76f5932ed66950ba", + "dataset_id": "m4", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=region, measure_col=bmi.", + "bindings": { + "group_col": "region", + "measure_col": "bmi", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "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_d/m4/sql/v2q_m4_900883c1613cc6a8.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_900883c1613cc6a8", + "api_calls": 0, + "input_tokens": 13808, + "cached_input_tokens": 12672, + "output_tokens": 481, + "total_tokens": 14289, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10471.9, + "sql_execution_elapsed_ms_total": 1.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9f84fd25e481776f84c433122f490494c1b00152 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:42.578178+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10471.9, "started_at": "2026-05-19T15:44:32.105357+00:00", "ended_at": "2026-05-19T15:44:42.577300+00:00", "prompt_metrics": {"chars": 5846, "bytes_utf8": 5846, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 581, "bytes_utf8": 581, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13808, "cached_input_tokens": 12672, "output_tokens": 481, "reasoning_output_tokens": 320}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"region\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"region\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"region\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the planned template with \\\"region\\\" as the grouping column and summed CAST(\\\"bmi\\\" AS REAL) because \\\"bmi\\\" is stored as TEXT in the SQLite schema.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..38d84631f856bb83efcd4665dbeee5d5da9afa52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_900883c1613cc6a8", + "api_calls": 0, + "input_tokens": 13808, + "cached_input_tokens": 12672, + "output_tokens": 481, + "total_tokens": 14289, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10471.9, + "sql_execution_elapsed_ms_total": 1.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_900883c1613cc6a8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_94a2b773ded502f5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_94a2b773ded502f5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8f93b44dc005599d7b5fa039182873e6e23d0633 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_94a2b773ded502f5/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:59:17.032698+00:00", + "ended_at": "2026-05-19T15:59:24.686901+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_94a2b773ded502f5", + "problem_id": "v2p_m4_513317450c1c456e", + "dataset_id": "m4", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=sex, measure_col=age.", + "bindings": { + "group_col": "sex", + "measure_col": "age", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=132" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_94a2b773ded502f5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_94a2b773ded502f5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f1ca820a1649f6294049ecfa79389e7ba7a2d0b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_94a2b773ded502f5/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:59:20.350986+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": 3315.78, "started_at": "2026-05-19T15:59:17.034431+00:00", "ended_at": "2026-05-19T15:59:20.350242+00:00", "prompt_metrics": {"chars": 5369, "bytes_utf8": 5369, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f6-814c-7153-960d-1690145312a4\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:59:24.686804+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": 3332.91, "started_at": "2026-05-19T15:59:21.352837+00:00", "ended_at": "2026-05-19T15:59:24.685805+00:00", "prompt_metrics": {"chars": 5369, "bytes_utf8": 5369, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f6-9211-7730-ba37-74bf6f373c68\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a45f36145a9ddf8ae02d199efeb0025ed9df53a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=children. +Result preview: [{"children": "5"}, {"children": "5"}, {"children": "5"}, {"children": "5"}, {"children": "5"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2c536db788e0be9c86d0c6f39acbccdc84d750ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m4_95b4de97f9c76c88 +-- problem_id: v2p_m4_3916a0869119e812 +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "children", + NTILE(10) OVER (ORDER BY CAST("children" AS INTEGER) DESC) AS tail_bucket + FROM "m4" +) +SELECT "children" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY CAST("children" AS INTEGER) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b203c67c4ff542dbb74d5e32eab16ad303721399 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"children\",\n NTILE(10) OVER (ORDER BY CAST(\"children\" AS INTEGER) DESC) AS tail_bucket\n FROM \"m4\"\n)\nSELECT \"children\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"children\" AS INTEGER) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"children\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"children\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"m4\\\"\\n)\\nSELECT \\\"children\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"children\\\" AS INTEGER) DESC;\", \"columns\": [\"children\"], \"rows\": [{\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"5\"}, {\"children\": \"4\"}, {\"children\": \"4\"}, {\"children\": \"4\"}, {\"children\": \"4\"}, {\"children\": \"4\"}, {\"children\": \"4\"}, {\"children\": \"4\"}, {\"children\": \"4\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 3.43}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1d0db7c388dbdcc93fcb5bb32f3d24b985ae65e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:40:48.444545+00:00", + "ended_at": "2026-05-19T15:41:08.324577+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_95b4de97f9c76c88", + "problem_id": "v2p_m4_3916a0869119e812", + "dataset_id": "m4", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=children.", + "bindings": { + "measure_col": "children", + "top_k": 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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=65" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_95b4de97f9c76c88.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_95b4de97f9c76c88", + "api_calls": 0, + "input_tokens": 13724, + "cached_input_tokens": 12032, + "output_tokens": 583, + "total_tokens": 14307, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19873.02, + "sql_execution_elapsed_ms_total": 3.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2854c7f19f7f697d1e31a51d1e1d49600951e71f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:08.319819+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 19873.02, "started_at": "2026-05-19T15:40:48.445551+00:00", "ended_at": "2026-05-19T15:41:08.318596+00:00", "prompt_metrics": {"chars": 5473, "bytes_utf8": 5473, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 557, "bytes_utf8": 557, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13724, "cached_input_tokens": 12032, "output_tokens": 583, "reasoning_output_tokens": 439}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"children\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"children\\\" AS INTEGER) DESC) AS tail_bucket\\n FROM \\\"m4\\\"\\n)\\nSELECT \\\"children\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"children\\\" AS INTEGER) DESC;\",\"notes\":\"Used the Quantile Tail Slice template with measure_col bound to \\\"children\\\" and num_tiles=10. Because \\\"children\\\" is stored as TEXT in the schema snapshot, the query casts it to INTEGER for correct numeric bucketing and ordering.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b9d3f225fcbd3e9ac1a18d8bbeef6789ccc49c21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_95b4de97f9c76c88", + "api_calls": 0, + "input_tokens": 13724, + "cached_input_tokens": 12032, + "output_tokens": 583, + "total_tokens": 14307, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19873.02, + "sql_execution_elapsed_ms_total": 3.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_95b4de97f9c76c88/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5b640d8eef92efb872578cd6c17d5e5d7c1d2496 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5845, "bytes_utf8": 5845, "lines": 180, "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": 657, "bytes_utf8": 657, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13807, "cached_input_tokens": 12672, "output_tokens": 361, "reasoning_output_tokens": 174}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2cf1a3f0165c37ba87a12772ea79e3fed75c5438 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_979ec3a8f13aaf94", + "api_calls": 0, + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 361, + "total_tokens": 14168, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14442.43, + "sql_execution_elapsed_ms_total": 3.25, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..84b2095feeae39d8f288491027df91f9e0450317 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/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": "2026-05-19T15:42:39.384110+00:00", + "ended_at": "2026-05-19T15:42:53.826578+00:00", + "elapsed_ms": 14442.43, + "prompt_metrics": { + "chars": 5845, + "bytes_utf8": 5845, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1405, + "bytes_utf8": 1405, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 657, + "bytes_utf8": 657, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 361, + "reasoning_output_tokens": 174 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0012338743f696053218dadb4048b9375f548d05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=region, measure_col=age.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "region", + "measure_col": "age", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f8682669aedf000d5c114cde166ef9a3b4c0a8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e7-4820-7601-b786-74411ffc3aa5"} +{"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 14442. Please try again in 433ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT \\\"region\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m4\\\"\\n GROUP BY \\\"region\\\"\\n), \\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"region\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"region\\\" and measure_col=\\\"age\\\". CAST was added because the schema stores numeric fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13807,"cached_input_tokens":12672,"output_tokens":361,"reasoning_output_tokens":174}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..736bace5382c685516237ad858caa433ba0a1474 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT \"region\", SUM(CAST(\"age\" AS REAL)) AS \"group_value\"\n FROM \"m4\"\n GROUP BY \"region\"\n), \"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"region\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;","notes":"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\"region\" and measure_col=\"age\". CAST was added because the schema stores numeric fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_979ec3a8f13aaf94/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8cf03152ba1b3a6ec113e0bbfa6dce1ac64208a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=children, measure_col=bmi. +Result preview: [{"children": "4", "avg_measure": 31.314615384615383}, {"children": "2", "avg_measure": 31.035806451612903}, {"children": "1", "avg_measure": 30.705744047619046}, {"children": "0", "avg_measure": 30.628507588532887}, {"children": "3", "avg_measure": 30.580000000000002}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2675e8a1da83d2ad66707db00478b9e4f5d8bf48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_m4_992096e310ec377c +-- problem_id: v2p_m4_c121a9a23617dcd7 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT "children", + AVG(CAST("bmi" AS REAL)) OVER (PARTITION BY "children") AS avg_measure +FROM "m4" +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..feae3b734525bc3b1ca50c538b342e2521aee785 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"children\",\n AVG(CAST(\"bmi\" AS REAL)) OVER (PARTITION BY \"children\") AS avg_measure\nFROM \"m4\"\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"children\\\",\\n AVG(CAST(\\\"bmi\\\" AS REAL)) OVER (PARTITION BY \\\"children\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\", \"columns\": [\"children\", \"avg_measure\"], \"rows\": [{\"children\": \"4\", \"avg_measure\": 31.314615384615383}, {\"children\": \"2\", \"avg_measure\": 31.035806451612903}, {\"children\": \"1\", \"avg_measure\": 30.705744047619046}, {\"children\": \"0\", \"avg_measure\": 30.628507588532887}, {\"children\": \"3\", \"avg_measure\": 30.580000000000002}, {\"children\": \"5\", \"avg_measure\": 28.915000000000003}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 12.0}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5785755d38cad47d4bcb160f9fec2ecb1d004e88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:59:24.687275+00:00", + "ended_at": "2026-05-19T15:59:34.329610+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_992096e310ec377c", + "problem_id": "v2p_m4_c121a9a23617dcd7", + "dataset_id": "m4", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=children, measure_col=bmi.", + "bindings": { + "group_col": "children", + "measure_col": "bmi", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=133" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_992096e310ec377c.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_992096e310ec377c", + "api_calls": 0, + "input_tokens": 13680, + "cached_input_tokens": 12672, + "output_tokens": 412, + "total_tokens": 14092, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9624.69, + "sql_execution_elapsed_ms_total": 12.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2ced3673a6da8d5b09118d736129d942c6a0219c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:34.314482+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9624.69, "started_at": "2026-05-19T15:59:24.688219+00:00", "ended_at": "2026-05-19T15:59:34.312937+00:00", "prompt_metrics": {"chars": 5376, "bytes_utf8": 5376, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 398, "bytes_utf8": 398, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13680, "cached_input_tokens": 12672, "output_tokens": 412, "reasoning_output_tokens": 308}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"children\\\",\\n AVG(CAST(\\\"bmi\\\" AS REAL)) OVER (PARTITION BY \\\"children\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Used the Window Partition Average template with group_col=\\\"children\\\" and measure_col=\\\"bmi\\\". CAST(\\\"bmi\\\" AS REAL) is required because the schema stores numeric values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5cfbe5ebfc6516b73ad00c08b15d08dd94d749c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_992096e310ec377c", + "api_calls": 0, + "input_tokens": 13680, + "cached_input_tokens": 12672, + "output_tokens": 412, + "total_tokens": 14092, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9624.69, + "sql_execution_elapsed_ms_total": 12.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_992096e310ec377c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d2493086bda3b51e1752ae5b12899e6bb0abcf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/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=smoker, measure_col=age. +Result preview: [{"smoker": "no", "bmi": "32.3", "total_measure": 1206.0, "share_within_group": 1.3906826568265682}, {"smoker": "yes", "bmi": "28.31", "total_measure": 290.0, "share_within_group": 1.3368983957219251}, {"smoker": "yes", "bmi": "38.06", "total_measure": 276.0, "share_within_group": 1.2723584731698323}, {"smoker": "yes", "bmi": "23.655", "total_measure": 270.0, "share_within_group": 1.2446985063617924}, {"smoker": "yes", "bmi": "36.96", "total_measure": 256.0, "share_within_group": 1.1801585838096995}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..917af33512944f598e43b4a998f5ca03a6b7cfcd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m4_9a4dfc6cf180cbd7 +-- problem_id: v2p_m4_1f4b35a4c04d08c1 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", "bmi", + SUM(CAST("age" AS REAL)) AS "total_measure", + SUM(CAST("age" AS REAL)) * 100.0 / SUM(SUM(CAST("age" AS REAL))) OVER (PARTITION BY "smoker") AS "share_within_group" +FROM "m4" +GROUP BY "smoker", "bmi" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7bb4e06946ffb02e790935d2768ed5f7891e0be4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9a4dfc6cf180cbd7/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:29.495877+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14192.7, "started_at": "2026-05-19T15:35:15.302426+00:00", "ended_at": "2026-05-19T15:35:29.495156+00:00", "prompt_metrics": {"chars": 5692, "bytes_utf8": 5692, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 589, "bytes_utf8": 589, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13789, "cached_input_tokens": 12672, "output_tokens": 690, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"smoker\\\", \\\"bmi\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"age\\\" AS REAL))) OVER (PARTITION BY \\\"smoker\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\", \\\"bmi\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Instantiated the provided Within-Group Share of Total template with group_col=\\\"smoker\\\", item_col=\\\"bmi\\\", and measure_col=\\\"age\\\". CAST(\\\"age\\\" AS REAL) is used because the schema stores numeric fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a0b6d733f25f8d2e724441ae8f4e766e6dd6874 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/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=sex, condition_col=charges. +Result preview: [{"sex": "male", "condition_rate": 0.002844950213371266}, {"sex": "female", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ee8c3fc7d12467c7b8fd0f0ab0a6bc03101329a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m4_9b746124cfb57df1 +-- problem_id: v2p_m4_bad7e4830e267dbf +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", + AVG(CASE WHEN "charges" = '10602.385' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "m4" +GROUP BY "sex" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..be3ba7e9f16823e4e36821e743a40351d4387343 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/query_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 \"sex\",\n AVG(CASE WHEN \"charges\" = '10602.385' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m4\"\nGROUP BY \"sex\"\nORDER BY \"condition_rate\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sex\\\",\\n AVG(CASE WHEN \\\"charges\\\" = '10602.385' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\", \"columns\": [\"sex\", \"condition_rate\"], \"rows\": [{\"sex\": \"male\", \"condition_rate\": 0.002844950213371266}, {\"sex\": \"female\", \"condition_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.22}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a7fa6f6dcd6cf5ea0d40016e7d05d086784c9b7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:54:47.407228+00:00", + "ended_at": "2026-05-19T15:54:56.295531+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_9b746124cfb57df1", + "problem_id": "v2p_m4_bad7e4830e267dbf", + "dataset_id": "m4", + "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=sex, condition_col=charges.", + "bindings": { + "group_col": "sex", + "condition_col": "charges", + "condition_value": "10602.385", + "positive_value": "10096.97", + "negative_value": "10602.385", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=100" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_9b746124cfb57df1.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_9b746124cfb57df1", + "api_calls": 0, + "input_tokens": 13739, + "cached_input_tokens": 12672, + "output_tokens": 314, + "total_tokens": 14053, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8884.35, + "sql_execution_elapsed_ms_total": 1.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..feb25813ac6a9c3df8ec192c0c1e3bb1ab5b7a8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:54:56.293091+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8884.35, "started_at": "2026-05-19T15:54:47.408000+00:00", "ended_at": "2026-05-19T15:54:56.292373+00:00", "prompt_metrics": {"chars": 5563, "bytes_utf8": 5563, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 410, "bytes_utf8": 410, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13739, "cached_input_tokens": 12672, "output_tokens": 314, "reasoning_output_tokens": 200}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sex\\\",\\n AVG(CASE WHEN \\\"charges\\\" = '10602.385' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with group_col=\\\"sex\\\" and condition_col=\\\"charges\\\", using an exact equality check against the bound condition value '10602.385'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..84f684869f9dd810a5f3911518fef8a42c3b3409 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_9b746124cfb57df1", + "api_calls": 0, + "input_tokens": 13739, + "cached_input_tokens": 12672, + "output_tokens": 314, + "total_tokens": 14053, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8884.35, + "sql_execution_elapsed_ms_total": 1.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9b746124cfb57df1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b6f37ff48229342e929d1a87d3923a135070595 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/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=smoker, condition_col=children. +Result preview: [{"smoker": "no", "condition_rate": 0.2463768115942029}, {"smoker": "yes", "condition_rate": 0.22695035460992907}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..dca191b63c4483549c23820638d9b2a9c25303bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m4_9ff51f872c6a5aff +-- problem_id: v2p_m4_761155eecb6875e5 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", + AVG(CASE WHEN "children" = '1' THEN 1 ELSE 0 END) AS condition_rate +FROM "m4" +GROUP BY "smoker" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6b11ace62233fc792556cc93ded391f0aa05a074 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/query_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 \"smoker\",\n AVG(CASE WHEN \"children\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m4\"\nGROUP BY \"smoker\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"smoker\\\",\\n AVG(CASE WHEN \\\"children\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"smoker\", \"condition_rate\"], \"rows\": [{\"smoker\": \"no\", \"condition_rate\": 0.2463768115942029}, {\"smoker\": \"yes\", \"condition_rate\": 0.22695035460992907}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.71}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fc0eaf619eb94eae5c43b635f16e47252e00d7df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:55:25.876036+00:00", + "ended_at": "2026-05-19T15:55:33.910780+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_9ff51f872c6a5aff", + "problem_id": "v2p_m4_761155eecb6875e5", + "dataset_id": "m4", + "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=smoker, condition_col=children.", + "bindings": { + "group_col": "smoker", + "condition_col": "children", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=102" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_9ff51f872c6a5aff.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_9ff51f872c6a5aff", + "api_calls": 0, + "input_tokens": 13732, + "cached_input_tokens": 12672, + "output_tokens": 282, + "total_tokens": 14014, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8027.96, + "sql_execution_elapsed_ms_total": 1.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c68b024ff3cd820fc82843ec0eb7d0b28f6fc954 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:55:33.906714+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8027.96, "started_at": "2026-05-19T15:55:25.877704+00:00", "ended_at": "2026-05-19T15:55:33.905710+00:00", "prompt_metrics": {"chars": 5547, "bytes_utf8": 5547, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 320, "bytes_utf8": 320, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13732, "cached_input_tokens": 12672, "output_tokens": 282, "reasoning_output_tokens": 187}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"smoker\\\",\\n AVG(CASE WHEN \\\"children\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Grouped by \\\"smoker\\\" and calculated the average indicator for rows where \\\"children\\\" = '1'.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d7e5a75802b4f302574a765b1be2173184bce0cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_9ff51f872c6a5aff", + "api_calls": 0, + "input_tokens": 13732, + "cached_input_tokens": 12672, + "output_tokens": 282, + "total_tokens": 14014, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8027.96, + "sql_execution_elapsed_ms_total": 1.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_9ff51f872c6a5aff/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ed886c50d4335d138363ea66547a23d839099506 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5209, "bytes_utf8": 5209, "lines": 178, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 282, "bytes_utf8": 282, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13644, "cached_input_tokens": 12032, "output_tokens": 354, "reasoning_output_tokens": 279}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b046d5b4a18c7b783c94d70f3734df4011074d2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_a1cd9a8244cd40f6", + "api_calls": 0, + "input_tokens": 13644, + "cached_input_tokens": 12032, + "output_tokens": 354, + "total_tokens": 13998, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11395.39, + "sql_execution_elapsed_ms_total": 1.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6192b9271604fc85b5b2f5e63d92d207dfbd39ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:59.820721+00:00", + "ended_at": "2026-05-19T15:31:11.216147+00:00", + "elapsed_ms": 11395.39, + "prompt_metrics": { + "chars": 5209, + "bytes_utf8": 5209, + "lines": 178, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 636, + "bytes_utf8": 636, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 282, + "bytes_utf8": 282, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13644, + "cached_input_tokens": 12032, + "output_tokens": 354, + "reasoning_output_tokens": 279 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa4f05b0ee82ec72ee208b78a8cb2125486bc267 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=region.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "region", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2da5091c611743188b99e79511e88bde34c18a2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-9b67-7110-86f5-c5a58446ed21"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"region\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applies the grouped count template with group_col bound to \\\"region\\\" to inspect subgroup count distribution.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13644,"cached_input_tokens":12032,"output_tokens":354,"reasoning_output_tokens":279}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff7ad73d85b02a19bd1e0402a21414bf6eed36dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"region\", COUNT(*) AS \"row_count\"\nFROM \"m4\"\nGROUP BY \"region\"\nORDER BY \"row_count\" DESC;","notes":"Applies the grouped count template with group_col bound to \"region\" to inspect subgroup count distribution."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f48727f8733a2605824907607e539b0c1754fad5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/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=region. +Result preview: [{"region": "southeast", "row_count": 766}, {"region": "southwest", "row_count": 684}, {"region": "northwest", "row_count": 664}, {"region": "northeast", "row_count": 658}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fdba9b15aeb3ab650f4f968c99833c9e241b85d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m4_a1cd9a8244cd40f6 +-- problem_id: v2p_m4_5031783499f09faa +-- realization_mode: agent +-- source_kind: agent +SELECT "region", COUNT(*) AS "row_count" +FROM "m4" +GROUP BY "region" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..88122a767f26c9ebc145985524c961d097713ec4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/query_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 \"region\", COUNT(*) AS \"row_count\"\nFROM \"m4\"\nGROUP BY \"region\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"region\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"region\", \"row_count\"], \"rows\": [{\"region\": \"southeast\", \"row_count\": 766}, {\"region\": \"southwest\", \"row_count\": 684}, {\"region\": \"northwest\", \"row_count\": 664}, {\"region\": \"northeast\", \"row_count\": 658}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.88}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0aa12f5641e0f915a948ff86ca99dd60ab3bde52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:30:59.819801+00:00", + "ended_at": "2026-05-19T15:31:11.220694+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_a1cd9a8244cd40f6", + "problem_id": "v2p_m4_5031783499f09faa", + "dataset_id": "m4", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=region.", + "bindings": { + "group_col": "region", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/1", + "binding_index=15" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_a1cd9a8244cd40f6.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_a1cd9a8244cd40f6", + "api_calls": 0, + "input_tokens": 13644, + "cached_input_tokens": 12032, + "output_tokens": 354, + "total_tokens": 13998, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11395.39, + "sql_execution_elapsed_ms_total": 1.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..67c2d359d1c8162a71fa175d88cf70db08b6bdce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:11.217195+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11395.39, "started_at": "2026-05-19T15:30:59.820721+00:00", "ended_at": "2026-05-19T15:31:11.216147+00:00", "prompt_metrics": {"chars": 5209, "bytes_utf8": 5209, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 282, "bytes_utf8": 282, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13644, "cached_input_tokens": 12032, "output_tokens": 354, "reasoning_output_tokens": 279}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"region\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applies the grouped count template with group_col bound to \\\"region\\\" to inspect subgroup count distribution.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..207d8390bb66d08577786f6ab62908ca0a6bbada --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_a1cd9a8244cd40f6", + "api_calls": 0, + "input_tokens": 13644, + "cached_input_tokens": 12032, + "output_tokens": 354, + "total_tokens": 13998, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11395.39, + "sql_execution_elapsed_ms_total": 1.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a1cd9a8244cd40f6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c226ee65a9921829ed3e3a85479aefe33ba25e2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/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=children. +Result preview: [{"children": "5", "support": 42}, {"children": "4", "support": 52}, {"children": "3", "support": 324}, {"children": "2", "support": 496}, {"children": "1", "support": 672}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..70df4feb14b464575221730e3dfa68e4e32ee74f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: count_distribution +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m4_a7622e4aaf887ab4 +-- problem_id: v2p_m4_ea9303f5c95fa68e +-- realization_mode: agent +-- source_kind: agent +SELECT + "children", + COUNT(*) AS support +FROM "m4" +GROUP BY "children" +ORDER BY support ASC, "children" +LIMIT 10; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7fa97a55ceb2e0aae0754eeca079f74f2d7dda3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"children\",\n COUNT(*) AS support\nFROM \"m4\"\nGROUP BY \"children\"\nORDER BY support ASC, \"children\"\nLIMIT 10;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"children\\\",\\n COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY support ASC, \\\"children\\\"\\nLIMIT 10;\", \"columns\": [\"children\", \"support\"], \"rows\": [{\"children\": \"5\", \"support\": 42}, {\"children\": \"4\", \"support\": 52}, {\"children\": \"3\", \"support\": 324}, {\"children\": \"2\", \"support\": 496}, {\"children\": \"1\", \"support\": 672}, {\"children\": \"0\", \"support\": 1186}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.2}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ef8d3878addeeabf5444b5930fe4651b72463940 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:58:31.535334+00:00", + "ended_at": "2026-05-19T15:58:39.433081+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_a7622e4aaf887ab4", + "problem_id": "v2p_m4_ea9303f5c95fa68e", + "dataset_id": "m4", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "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=children.", + "bindings": { + "group_col": "children", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_a7622e4aaf887ab4.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_a7622e4aaf887ab4", + "api_calls": 0, + "input_tokens": 13679, + "cached_input_tokens": 12032, + "output_tokens": 233, + "total_tokens": 13912, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7893.47, + "sql_execution_elapsed_ms_total": 1.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8b089e4b180f20c6de0b4b2bc19b75798dab537b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:58:39.430620+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7893.47, "started_at": "2026-05-19T15:58:31.536280+00:00", "ended_at": "2026-05-19T15:58:39.429773+00:00", "prompt_metrics": {"chars": 5292, "bytes_utf8": 5292, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 299, "bytes_utf8": 299, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13679, "cached_input_tokens": 12032, "output_tokens": 233, "reasoning_output_tokens": 147}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"children\\\",\\n COUNT(*) AS support\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY support ASC, \\\"children\\\"\\nLIMIT 10;\",\"notes\":\"Uses the Low-Support Group Count template with group_col bound to \\\"children\\\" and top_k=10.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..15c0f9f26fd38041db35f7372c30bd8735fd16c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_a7622e4aaf887ab4", + "api_calls": 0, + "input_tokens": 13679, + "cached_input_tokens": 12032, + "output_tokens": 233, + "total_tokens": 13912, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7893.47, + "sql_execution_elapsed_ms_total": 1.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_a7622e4aaf887ab4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f3e7809dff1a6b52fa6fb36d61587a6e46e401b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/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=smoker. +Result preview: [{"smoker": "no", "row_count": 2208}, {"smoker": "yes", "row_count": 564}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ba2658b3ffdbcd1fb3e38411dbabbb7e1bcd658a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m4_aa2b074f3c55898d +-- problem_id: v2p_m4_3736628ed377bf17 +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", COUNT(*) AS row_count +FROM "m4" +GROUP BY "smoker" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..36bb5ad038a7288f4f8a26e4061ddfd4e898aa57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/query_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 \"smoker\", COUNT(*) AS row_count\nFROM \"m4\"\nGROUP BY \"smoker\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"smoker\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"smoker\", \"row_count\"], \"rows\": [{\"smoker\": \"no\", \"row_count\": 2208}, {\"smoker\": \"yes\", \"row_count\": 564}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d4b50c90ebe3cb0d0422f16492aa427f6a4135ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:30:49.978542+00:00", + "ended_at": "2026-05-19T15:30:59.819268+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_aa2b074f3c55898d", + "problem_id": "v2p_m4_3736628ed377bf17", + "dataset_id": "m4", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=smoker.", + "bindings": { + "group_col": "smoker", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=14" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_aa2b074f3c55898d.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_aa2b074f3c55898d", + "api_calls": 0, + "input_tokens": 13646, + "cached_input_tokens": 12032, + "output_tokens": 198, + "total_tokens": 13844, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9836.8, + "sql_execution_elapsed_ms_total": 1.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f8dd1daeee795434fca17c4d7c1b16056d93935e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:59.816897+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9836.8, "started_at": "2026-05-19T15:30:49.979302+00:00", "ended_at": "2026-05-19T15:30:59.816129+00:00", "prompt_metrics": {"chars": 5209, "bytes_utf8": 5209, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 283, "bytes_utf8": 283, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13646, "cached_input_tokens": 12032, "output_tokens": 198, "reasoning_output_tokens": 118}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"smoker\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided Grouped Count by Category template with group_col bound to \\\"smoker\\\" on the single table \\\"m4\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..78549be8c563ad6e75a5a1efa6a46c87afa9ff16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_aa2b074f3c55898d", + "api_calls": 0, + "input_tokens": 13646, + "cached_input_tokens": 12032, + "output_tokens": 198, + "total_tokens": 13844, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9836.8, + "sql_execution_elapsed_ms_total": 1.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa2b074f3c55898d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9eff1ef60fc067928bdec2b618d14147aba81f9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/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=region, measure_col=age. +Result preview: [{"region": "southeast", "percentile_measure": 59.0}, {"region": "southwest", "percentile_measure": 59.0}, {"region": "northeast", "percentile_measure": 58.30000000000007}, {"region": "northwest", "percentile_measure": 58.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d85e87cff5cd8421ebfea41ad06f560f9e618b30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/generated_sql.sql @@ -0,0 +1,67 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m4_aa35544800b90b37 +-- problem_id: v2p_m4_e3bc2a8656a627ec +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "region", + CAST("age" AS REAL) AS "age_value" + FROM "m4" + WHERE "region" IS NOT NULL + AND "age" IS NOT NULL +), +"counts" AS ( + SELECT + "region", + COUNT(*) AS "cnt" + FROM "base" + GROUP BY "region" + HAVING COUNT(*) >= 5 +), +"ordered" AS ( + SELECT + b."region", + b."age_value", + ROW_NUMBER() OVER ( + PARTITION BY b."region" + ORDER BY b."age_value" + ) AS "rn" + FROM "base" AS b + JOIN "counts" AS c + ON b."region" = c."region" +), +"positions" AS ( + SELECT + "region", + (1.0 + (("cnt" - 1) * 0.9)) AS "pos", + CAST((1.0 + (("cnt" - 1) * 0.9)) AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + (("cnt" - 1) * 0.9)) = CAST((1.0 + (("cnt" - 1) * 0.9)) AS INTEGER) + THEN CAST((1.0 + (("cnt" - 1) * 0.9)) AS INTEGER) + ELSE CAST((1.0 + (("cnt" - 1) * 0.9)) AS INTEGER) + 1 + END AS "upper_rn" + FROM "counts" +) +SELECT + p."region", + CASE + WHEN p."lower_rn" = p."upper_rn" THEN l."age_value" + ELSE l."age_value" + (p."pos" - p."lower_rn") * (u."age_value" - l."age_value") + END AS "percentile_measure" +FROM "positions" AS p +JOIN "ordered" AS l + ON l."region" = p."region" + AND l."rn" = p."lower_rn" +JOIN "ordered" AS u + ON u."region" = p."region" + AND u."rn" = p."upper_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0961a50eddee1a1782a3a6e77c355014ecbf04e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"base\" AS (\n SELECT\n \"region\",\n CAST(\"age\" AS REAL) AS \"age_value\"\n FROM \"m4\"\n WHERE \"region\" IS NOT NULL\n AND \"age\" IS NOT NULL\n),\n\"counts\" AS (\n SELECT\n \"region\",\n COUNT(*) AS \"cnt\"\n FROM \"base\"\n GROUP BY \"region\"\n HAVING COUNT(*) >= 5\n),\n\"ordered\" AS (\n SELECT\n b.\"region\",\n b.\"age_value\",\n ROW_NUMBER() OVER (\n PARTITION BY b.\"region\"\n ORDER BY b.\"age_value\"\n ) AS \"rn\"\n FROM \"base\" AS b\n JOIN \"counts\" AS c\n ON b.\"region\" = c.\"region\"\n),\n\"positions\" AS (\n SELECT\n \"region\",\n (1.0 + ((\"cnt\" - 1) * 0.9)) AS \"pos\",\n CAST((1.0 + ((\"cnt\" - 1) * 0.9)) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (1.0 + ((\"cnt\" - 1) * 0.9)) = CAST((1.0 + ((\"cnt\" - 1) * 0.9)) AS INTEGER)\n THEN CAST((1.0 + ((\"cnt\" - 1) * 0.9)) AS INTEGER)\n ELSE CAST((1.0 + ((\"cnt\" - 1) * 0.9)) AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"counts\"\n)\nSELECT\n p.\"region\",\n CASE\n WHEN p.\"lower_rn\" = p.\"upper_rn\" THEN l.\"age_value\"\n ELSE l.\"age_value\" + (p.\"pos\" - p.\"lower_rn\") * (u.\"age_value\" - l.\"age_value\")\n END AS \"percentile_measure\"\nFROM \"positions\" AS p\nJOIN \"ordered\" AS l\n ON l.\"region\" = p.\"region\"\n AND l.\"rn\" = p.\"lower_rn\"\nJOIN \"ordered\" AS u\n ON u.\"region\" = p.\"region\"\n AND u.\"rn\" = p.\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"region\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"region\\\" IS NOT NULL\\n AND \\\"age\\\" IS NOT NULL\\n),\\n\\\"counts\\\" AS (\\n SELECT\\n \\\"region\\\",\\n COUNT(*) AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n GROUP BY \\\"region\\\"\\n HAVING COUNT(*) >= 5\\n),\\n\\\"ordered\\\" AS (\\n SELECT\\n b.\\\"region\\\",\\n b.\\\"age_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY b.\\\"region\\\"\\n ORDER BY b.\\\"age_value\\\"\\n ) AS \\\"rn\\\"\\n FROM \\\"base\\\" AS b\\n JOIN \\\"counts\\\" AS c\\n ON b.\\\"region\\\" = c.\\\"region\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"region\\\",\\n (1.0 + ((\\\"cnt\\\" - 1) * 0.9)) AS \\\"pos\\\",\\n CAST((1.0 + ((\\\"cnt\\\" - 1) * 0.9)) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + ((\\\"cnt\\\" - 1) * 0.9)) = CAST((1.0 + ((\\\"cnt\\\" - 1) * 0.9)) AS INTEGER)\\n THEN CAST((1.0 + ((\\\"cnt\\\" - 1) * 0.9)) AS INTEGER)\\n ELSE CAST((1.0 + ((\\\"cnt\\\" - 1) * 0.9)) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"counts\\\"\\n)\\nSELECT\\n p.\\\"region\\\",\\n CASE\\n WHEN p.\\\"lower_rn\\\" = p.\\\"upper_rn\\\" THEN l.\\\"age_value\\\"\\n ELSE l.\\\"age_value\\\" + (p.\\\"pos\\\" - p.\\\"lower_rn\\\") * (u.\\\"age_value\\\" - l.\\\"age_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"positions\\\" AS p\\nJOIN \\\"ordered\\\" AS l\\n ON l.\\\"region\\\" = p.\\\"region\\\"\\n AND l.\\\"rn\\\" = p.\\\"lower_rn\\\"\\nJOIN \\\"ordered\\\" AS u\\n ON u.\\\"region\\\" = p.\\\"region\\\"\\n AND u.\\\"rn\\\" = p.\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"region\", \"percentile_measure\"], \"rows\": [{\"region\": \"southeast\", \"percentile_measure\": 59.0}, {\"region\": \"southwest\", \"percentile_measure\": 59.0}, {\"region\": \"northeast\", \"percentile_measure\": 58.30000000000007}, {\"region\": \"northwest\", \"percentile_measure\": 58.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 10.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d79b6f0396fc070d03d91cd0e3dbb5fc2adf7933 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:48:41.387719+00:00", + "ended_at": "2026-05-19T15:49:17.187182+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_aa35544800b90b37", + "problem_id": "v2p_m4_e3bc2a8656a627ec", + "dataset_id": "m4", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "ranked_signal_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=region, measure_col=age.", + "bindings": { + "group_col": "region", + "measure_col": "age", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "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_d/m4/sql/v2q_m4_aa35544800b90b37.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_aa35544800b90b37", + "api_calls": 0, + "input_tokens": 13707, + "cached_input_tokens": 12672, + "output_tokens": 2451, + "total_tokens": 16158, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 35785.65, + "sql_execution_elapsed_ms_total": 10.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e328452a9462da7ec212894413eccc059143d6b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:17.175314+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 35785.65, "started_at": "2026-05-19T15:48:41.388505+00:00", "ended_at": "2026-05-19T15:49:17.174181+00:00", "prompt_metrics": {"chars": 5467, "bytes_utf8": 5467, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 1776, "bytes_utf8": 1776, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13707, "cached_input_tokens": 12672, "output_tokens": 2451, "reasoning_output_tokens": 1837}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"region\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"region\\\" IS NOT NULL\\n AND \\\"age\\\" IS NOT NULL\\n),\\n\\\"counts\\\" AS (\\n SELECT\\n \\\"region\\\",\\n COUNT(*) AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n GROUP BY \\\"region\\\"\\n HAVING COUNT(*) >= 5\\n),\\n\\\"ordered\\\" AS (\\n SELECT\\n b.\\\"region\\\",\\n b.\\\"age_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY b.\\\"region\\\"\\n ORDER BY b.\\\"age_value\\\"\\n ) AS \\\"rn\\\"\\n FROM \\\"base\\\" AS b\\n JOIN \\\"counts\\\" AS c\\n ON b.\\\"region\\\" = c.\\\"region\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"region\\\",\\n (1.0 + ((\\\"cnt\\\" - 1) * 0.9)) AS \\\"pos\\\",\\n CAST((1.0 + ((\\\"cnt\\\" - 1) * 0.9)) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + ((\\\"cnt\\\" - 1) * 0.9)) = CAST((1.0 + ((\\\"cnt\\\" - 1) * 0.9)) AS INTEGER)\\n THEN CAST((1.0 + ((\\\"cnt\\\" - 1) * 0.9)) AS INTEGER)\\n ELSE CAST((1.0 + ((\\\"cnt\\\" - 1) * 0.9)) AS IN"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2b941ea5c77ca114b328512d6964af8c65cf1ce7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_aa35544800b90b37", + "api_calls": 0, + "input_tokens": 13707, + "cached_input_tokens": 12672, + "output_tokens": 2451, + "total_tokens": 16158, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 35785.65, + "sql_execution_elapsed_ms_total": 10.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_aa35544800b90b37/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b7490c46dfccb4fd077a19c365a1ce13e0cb6258 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5283, "bytes_utf8": 5283, "lines": 178, "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": 5283, "bytes_utf8": 5283, "lines": 178, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 304, "bytes_utf8": 304, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13682, "cached_input_tokens": 12032, "output_tokens": 221, "reasoning_output_tokens": 127}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..255344216622fddff637f858fb3529ed533723d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ac85b8dbd568315b", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12032, + "output_tokens": 221, + "total_tokens": 13903, + "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": 12873.92, + "sql_execution_elapsed_ms_total": 1.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..18d9655afdafcf1d285c89af69ec4514fd8b0d75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:56:58.532541+00:00", + "ended_at": "2026-05-19T15:57:02.640755+00:00", + "elapsed_ms": 4108.19, + "returncode": 1, + "prompt_metrics": { + "chars": 5283, + "bytes_utf8": 5283, + "lines": 178, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c56d4087ca065ff38517170ce5ba51ab8c9c525f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:03.642731+00:00", + "ended_at": "2026-05-19T15:57:12.408491+00:00", + "elapsed_ms": 8765.73, + "prompt_metrics": { + "chars": 5283, + "bytes_utf8": 5283, + "lines": 178, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 669, + "bytes_utf8": 669, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 304, + "bytes_utf8": 304, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13682, + "cached_input_tokens": 12032, + "output_tokens": 221, + "reasoning_output_tokens": 127 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..545aed1841e14c33f38288c9a928809e0799724d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=sex.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "sex", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..545aed1841e14c33f38288c9a928809e0799724d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=sex.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "sex", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..caf546b58ff97c2826020fc8820027864f656779 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-6436-7921-a777-4d0fb2580edb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bea2f642b104af461f50c5a0735f1a18fac5e83c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-6436-7921-a777-4d0fb2580edb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c36141e1ef887a3cbb5e013ff35312686ec79212 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-781e-7a30-ae74-8b692da9c2c1"} +{"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 \\\"sex\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY \\\"support\\\" ASC, \\\"sex\\\"\\nLIMIT 10;\",\"notes\":\"Applies the Low-Support Group Count template with group_col bound to \\\"sex\\\" on the single table \\\"m4\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13682,"cached_input_tokens":12032,"output_tokens":221,"reasoning_output_tokens":127}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc99758a8ed437b84156cbf252aafd15d7e68c06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"sex\",\n COUNT(*) AS \"support\"\nFROM \"m4\"\nGROUP BY \"sex\"\nORDER BY \"support\" ASC, \"sex\"\nLIMIT 10;","notes":"Applies the Low-Support Group Count template with group_col bound to \"sex\" on the single table \"m4\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..094e21f5ddda4cddaedc3d9d3ae1b70074d18ea4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/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=sex. +Result preview: [{"sex": "female", "support": 1366}, {"sex": "male", "support": 1406}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4add3897dc6f2e280b4ddaabe8226fff64dedf9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_tail_low_support_group_count_v2 +-- query_record_id: v2q_m4_ac85b8dbd568315b +-- problem_id: v2p_m4_4b9db6a86182c981 +-- realization_mode: agent +-- source_kind: agent +SELECT + "sex", + COUNT(*) AS "support" +FROM "m4" +GROUP BY "sex" +ORDER BY "support" ASC, "sex" +LIMIT 10; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0d99d1f8ecc3845299d6a27b8c415c135d5f78e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/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 \"sex\",\n COUNT(*) AS \"support\"\nFROM \"m4\"\nGROUP BY \"sex\"\nORDER BY \"support\" ASC, \"sex\"\nLIMIT 10;", "result": "{\"query\": \"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"sex\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY \\\"support\\\" ASC, \\\"sex\\\"\\nLIMIT 10;\", \"columns\": [\"sex\", \"support\"], \"rows\": [{\"sex\": \"female\", \"support\": 1366}, {\"sex\": \"male\", \"support\": 1406}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.05}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ea1391fc0a0f8fb4554baafff8252173c1c76dc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:56:58.531539+00:00", + "ended_at": "2026-05-19T15:57:12.411499+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_ac85b8dbd568315b", + "problem_id": "v2p_m4_4b9db6a86182c981", + "dataset_id": "m4", + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=sex.", + "bindings": { + "group_col": "sex", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=120" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ac85b8dbd568315b.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ac85b8dbd568315b", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12032, + "output_tokens": 221, + "total_tokens": 13903, + "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": 12873.92, + "sql_execution_elapsed_ms_total": 1.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3fadaad2a941df765602136c2adba4e37f9c5e4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:57:02.641472+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": 4108.19, "started_at": "2026-05-19T15:56:58.532541+00:00", "ended_at": "2026-05-19T15:57:02.640755+00:00", "prompt_metrics": {"chars": 5283, "bytes_utf8": 5283, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f4-6436-7921-a777-4d0fb2580edb\"}\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": "2026-05-19T15:57:12.409245+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": 8765.73, "started_at": "2026-05-19T15:57:03.642731+00:00", "ended_at": "2026-05-19T15:57:12.408491+00:00", "prompt_metrics": {"chars": 5283, "bytes_utf8": 5283, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 304, "bytes_utf8": 304, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13682, "cached_input_tokens": 12032, "output_tokens": 221, "reasoning_output_tokens": 127}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"sex\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY \\\"support\\\" ASC, \\\"sex\\\"\\nLIMIT 10;\",\"notes\":\"Applies the Low-Support Group Count template with group_col bound to \\\"sex\\\" on the single table \\\"m4\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fc595cd59f1a62e12cc5c13c8572b9e127188c2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ac85b8dbd568315b", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12032, + "output_tokens": 221, + "total_tokens": 13903, + "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": 12873.92, + "sql_execution_elapsed_ms_total": 1.05, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac85b8dbd568315b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba3c1ed9c3ae508b92cee2951adb7271a5892ed2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=sex, measure_col=bmi. +Result preview: [{"sex": "male", "group_value": 43530.65}, {"sex": "female", "group_value": 41573.49}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..be195e5c3a3c1baf7e445c1c563c704c75214b9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m4_ac8ed5080e0dfd99 +-- problem_id: v2p_m4_577dbd334dc6c9ae +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "sex", SUM(CAST("bmi" AS REAL)) AS group_value + FROM "m4" + GROUP BY "sex" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."sex", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.05 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c30294f8a668d6f0c61de2585b2bf0adc4986db9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"sex\", SUM(CAST(\"bmi\" AS REAL)) AS group_value\n FROM \"m4\"\n GROUP BY \"sex\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"sex\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"sex\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"sex\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"sex\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\", \"columns\": [\"sex\", \"group_value\"], \"rows\": [{\"sex\": \"male\", \"group_value\": 43530.65}, {\"sex\": \"female\", \"group_value\": 41573.49}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.01}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e4f5e08f889b18f2f78fc5b6ba380584f88c2f79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:43:25.052002+00:00", + "ended_at": "2026-05-19T15:43:39.758441+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_ac8ed5080e0dfd99", + "problem_id": "v2p_m4_577dbd334dc6c9ae", + "dataset_id": "m4", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=sex, measure_col=bmi.", + "bindings": { + "group_col": "sex", + "measure_col": "bmi", + "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": 33.11, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=76" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ac8ed5080e0dfd99.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ac8ed5080e0dfd99", + "api_calls": 0, + "input_tokens": 13808, + "cached_input_tokens": 12672, + "output_tokens": 414, + "total_tokens": 14222, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14700.83, + "sql_execution_elapsed_ms_total": 2.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..181a046cf4c0f106db6c522abf4eec5dd841eb52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:39.754694+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14700.83, "started_at": "2026-05-19T15:43:25.052766+00:00", "ended_at": "2026-05-19T15:43:39.753623+00:00", "prompt_metrics": {"chars": 5842, "bytes_utf8": 5842, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 599, "bytes_utf8": 599, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13808, "cached_input_tokens": 12672, "output_tokens": 414, "reasoning_output_tokens": 248}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"sex\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"sex\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"sex\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the provided Relative-to-Total Extreme Threshold template with group_col=\\\"sex\\\" and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" to REAL because the schema stores it as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2f1aa07600fe9943d3f58d4b1d84a397e5b1683f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ac8ed5080e0dfd99", + "api_calls": 0, + "input_tokens": 13808, + "cached_input_tokens": 12672, + "output_tokens": 414, + "total_tokens": 14222, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14700.83, + "sql_execution_elapsed_ms_total": 2.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ac8ed5080e0dfd99/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b445fb4bf2c2f97a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b445fb4bf2c2f97a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..101f8580c73f823d23536710aec1d8e8be502e16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b445fb4bf2c2f97a/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "male", "support": 1406, "support_share": 0.5072150072150072, "cumulative_support": 1406}, {"value_label": "female", "support": 1366, "support_share": 0.49278499278499277, "cumulative_support": 2772}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b445fb4bf2c2f97a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b445fb4bf2c2f97a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..77a875d4066059baf58f9adad3151f9e8633d98d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b445fb4bf2c2f97a/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m4_b445fb4bf2c2f97a +-- problem_id: v2p_m4_534f5fb7a67dd3a0 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "sex" AS value_label, COUNT(*) AS support + FROM "m4" + GROUP BY "sex" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b445fb4bf2c2f97a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b445fb4bf2c2f97a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..06709241d3dfcfa9b1a252d21428d4161df333a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b445fb4bf2c2f97a/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: m4\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m4_b445fb4bf2c2f97a\n-- problem_id: v2p_m4_534f5fb7a67dd3a0\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"sex\" AS value_label, COUNT(*) AS support\n FROM \"m4\"\n GROUP BY \"sex\"\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_d\\n-- sql_source_dataset_id: m4\\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_m4_b445fb4bf2c2f97a\\n-- problem_id: v2p_m4_534f5fb7a67dd3a0\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"sex\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m4\\\"\\n GROUP BY \\\"sex\\\"\\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\": \"male\", \"support\": 1406, \"support_share\": 0.5072150072150072, \"cumulative_support\": 1406}, {\"value_label\": \"female\", \"support\": 1366, \"support_share\": 0.49278499278499277, \"cumulative_support\": 2772}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.9}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b445fb4bf2c2f97a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b445fb4bf2c2f97a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f7efd3d61ea24ad979633d0f41946ecddfd1b978 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b445fb4bf2c2f97a/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:40.720608+00:00", + "ended_at": "2026-05-19T16:01:40.725048+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_b445fb4bf2c2f97a", + "problem_id": "v2p_m4_534f5fb7a67dd3a0", + "dataset_id": "m4", + "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=sex.", + "bindings": { + "group_col": "sex" + }, + "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_d/m4/sql/v2q_m4_b445fb4bf2c2f97a.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b445fb4bf2c2f97a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b445fb4bf2c2f97a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b445fb4bf2c2f97a/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..463fcdb475fcee7e3a6bb9602833ba284d3f4b54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/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=sex, measure_col=bmi. +Result preview: [{"sex": "male", "total_measure": 43530.65}, {"sex": "female", "total_measure": 41573.49}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9903f6687f2c5c2a737db00d8e1f4a0a2060bf56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m4_b751ff8724425a09 +-- problem_id: v2p_m4_ae431164d1496dd5 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", SUM(CAST("bmi" AS REAL)) AS "total_measure" +FROM "m4" +GROUP BY "sex" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..652941a3b48a08b0f84074d79c96d23e3d2d3c1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/query_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 \"sex\", SUM(CAST(\"bmi\" AS REAL)) AS \"total_measure\"\nFROM \"m4\"\nGROUP BY \"sex\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"sex\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"sex\", \"total_measure\"], \"rows\": [{\"sex\": \"male\", \"total_measure\": 43530.65}, {\"sex\": \"female\", \"total_measure\": 41573.49}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.16}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..37437f9333ce9aadd8e675bc0ebba41fab946d5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:29:37.665492+00:00", + "ended_at": "2026-05-19T15:29:45.731162+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_b751ff8724425a09", + "problem_id": "v2p_m4_ae431164d1496dd5", + "dataset_id": "m4", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_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=sex, measure_col=bmi.", + "bindings": { + "group_col": "sex", + "measure_col": "bmi", + "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": 33.11, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, 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_d/m4/sql/v2q_m4_b751ff8724425a09.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_b751ff8724425a09", + "api_calls": 0, + "input_tokens": 13670, + "cached_input_tokens": 12032, + "output_tokens": 256, + "total_tokens": 13926, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8057.12, + "sql_execution_elapsed_ms_total": 3.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7fc96f31a8aced592275002ba07eca4150ba8716 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:45.725232+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8057.12, "started_at": "2026-05-19T15:29:37.666475+00:00", "ended_at": "2026-05-19T15:29:45.723627+00:00", "prompt_metrics": {"chars": 5286, "bytes_utf8": 5286, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 341, "bytes_utf8": 341, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13670, "cached_input_tokens": 12032, "output_tokens": 256, "reasoning_output_tokens": 156}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"sex\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col=\\\"sex\\\" and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" from TEXT to REAL for SQLite numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8739c11e492b71e0716147f517595991507d7000 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_b751ff8724425a09", + "api_calls": 0, + "input_tokens": 13670, + "cached_input_tokens": 12032, + "output_tokens": 256, + "total_tokens": 13926, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8057.12, + "sql_execution_elapsed_ms_total": 3.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b751ff8724425a09/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..586594157437d6da0f5414b76d9e2ee54d58697d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/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=smoker, condition_col=children. +Result preview: [{"smoker": "yes", "condition_ratio": 1.828125}, {"smoker": "no", "condition_ratio": 1.75}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8aa3ee2f5267031b0db16fec09b0342f6b8dae51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m4_b813352b88e44e15 +-- problem_id: v2p_m4_d1613171c0d142ad +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "smoker", + SUM(CASE WHEN "children" = '0' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "children" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "m4" + GROUP BY "smoker" +) +SELECT "smoker", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f84cade52ce78b1cd305d71b8aad6c0fd7be5ad3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/query_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 \"smoker\",\n SUM(CASE WHEN \"children\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"children\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m4\"\n GROUP BY \"smoker\"\n)\nSELECT \"smoker\",\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 \\\"smoker\\\",\\n SUM(CASE WHEN \\\"children\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"children\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"smoker\\\"\\n)\\nSELECT \\\"smoker\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"smoker\", \"condition_ratio\"], \"rows\": [{\"smoker\": \"yes\", \"condition_ratio\": 1.828125}, {\"smoker\": \"no\", \"condition_ratio\": 1.75}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.43}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ead72bf8378b7662709f0a53f8d2af3ceb43a7b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:37:57.861961+00:00", + "ended_at": "2026-05-19T15:38:10.227732+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_b813352b88e44e15", + "problem_id": "v2p_m4_d1613171c0d142ad", + "dataset_id": "m4", + "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=smoker, condition_col=children.", + "bindings": { + "group_col": "smoker", + "condition_col": "children", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "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_d/m4/sql/v2q_m4_b813352b88e44e15.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_b813352b88e44e15", + "api_calls": 0, + "input_tokens": 13880, + "cached_input_tokens": 12032, + "output_tokens": 571, + "total_tokens": 14451, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12361.25, + "sql_execution_elapsed_ms_total": 1.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..429065be94f007745ba41cdf0dc2bb153724d4cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:10.224974+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12361.25, "started_at": "2026-05-19T15:37:57.862820+00:00", "ended_at": "2026-05-19T15:38:10.224105+00:00", "prompt_metrics": {"chars": 6106, "bytes_utf8": 6106, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 720, "bytes_utf8": 720, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13880, "cached_input_tokens": 12032, "output_tokens": 571, "reasoning_output_tokens": 379}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"smoker\\\",\\n SUM(CASE WHEN \\\"children\\\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"children\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"smoker\\\"\\n)\\nSELECT \\\"smoker\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applies the planned template with group_col=\\\"smoker\\\" and condition_col=\\\"children\\\", computing the ratio of count(children='0') to count(children='1') for each smoker group. String literals are used because the schema stores these fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d8915fc5f4c5da44f8134a24e1b7221a34e7f795 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_b813352b88e44e15", + "api_calls": 0, + "input_tokens": 13880, + "cached_input_tokens": 12032, + "output_tokens": 571, + "total_tokens": 14451, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12361.25, + "sql_execution_elapsed_ms_total": 1.43, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b813352b88e44e15/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..64b655ff1dee8149b8ecf808356a2e21d4bedf52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=region, measure_col=age. +Result preview: [{"region": "southeast", "total_measure": 29692.0}, {"region": "southwest", "total_measure": 26948.0}, {"region": "northwest", "total_measure": 25950.0}, {"region": "northeast", "total_measure": 25822.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..09f616f21193d509e558ba79b77c81ba39513ec8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m4_b8639bbab485889c +-- problem_id: v2p_m4_601db47f77579b68 +-- realization_mode: agent +-- source_kind: agent +SELECT "region", SUM(CAST("age" AS REAL)) AS total_measure +FROM "m4" +GROUP BY "region" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..192a1b4c00124131129b084194e092d8a89f1950 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"region\", SUM(CAST(\"age\" AS REAL)) AS total_measure\nFROM \"m4\"\nGROUP BY \"region\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"region\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"region\", \"total_measure\"], \"rows\": [{\"region\": \"southeast\", \"total_measure\": 29692.0}, {\"region\": \"southwest\", \"total_measure\": 26948.0}, {\"region\": \"northwest\", \"total_measure\": 25950.0}, {\"region\": \"northeast\", \"total_measure\": 25822.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.47}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cad5349a392aac874afa0818be60e341b9eab07c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:29:19.635442+00:00", + "ended_at": "2026-05-19T15:29:29.866737+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_b8639bbab485889c", + "problem_id": "v2p_m4_601db47f77579b68", + "dataset_id": "m4", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=region, measure_col=age.", + "bindings": { + "group_col": "region", + "measure_col": "age", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=3" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_b8639bbab485889c.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_b8639bbab485889c", + "api_calls": 0, + "input_tokens": 13669, + "cached_input_tokens": 12032, + "output_tokens": 299, + "total_tokens": 13968, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10226.35, + "sql_execution_elapsed_ms_total": 1.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bdfc610d5c1d2a604a6de2943ff9c913dac70c28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:29.863975+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10226.35, "started_at": "2026-05-19T15:29:19.636206+00:00", "ended_at": "2026-05-19T15:29:29.862581+00:00", "prompt_metrics": {"chars": 5292, "bytes_utf8": 5292, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 344, "bytes_utf8": 344, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13669, "cached_input_tokens": 12032, "output_tokens": 299, "reasoning_output_tokens": 204}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"region\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the requested Grouped Numeric Sum template with group_col=\\\"region\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" from TEXT to REAL for numeric summation in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..272c9a4ed9a24c34604b32422db093dc9e5e5f36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_b8639bbab485889c", + "api_calls": 0, + "input_tokens": 13669, + "cached_input_tokens": 12032, + "output_tokens": 299, + "total_tokens": 13968, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10226.35, + "sql_execution_elapsed_ms_total": 1.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b8639bbab485889c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b9ffc0f41015c019/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b9ffc0f41015c019/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4c9681b8049e3e69287cd4fbb8419c57b10e4f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b9ffc0f41015c019/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": []} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b9ffc0f41015c019/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b9ffc0f41015c019/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..278dc85ba69325c7aef20f14b7ba9331ec593785 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b9ffc0f41015c019/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m4_b9ffc0f41015c019 +-- problem_id: v2p_m4_61c857649a517ff6 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "charges", + COUNT(*) AS support, + AVG("bmi") AS avg_response +FROM "m4" +GROUP BY "charges" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b9ffc0f41015c019/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b9ffc0f41015c019/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..af85a09c3e5832d9dcb39d720a08471b13a8bc72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b9ffc0f41015c019/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: m4\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m4_b9ffc0f41015c019\n-- problem_id: v2p_m4_61c857649a517ff6\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"charges\",\n COUNT(*) AS support,\n AVG(\"bmi\") AS avg_response\nFROM \"m4\"\nGROUP BY \"charges\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: m4\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m4_b9ffc0f41015c019\\n-- problem_id: v2p_m4_61c857649a517ff6\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"charges\\\",\\n COUNT(*) AS support,\\n AVG(\\\"bmi\\\") AS avg_response\\nFROM \\\"m4\\\"\\nGROUP BY \\\"charges\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"charges\", \"support\", \"avg_response\"], \"rows\": [], \"row_count_returned\": 0, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.79}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b9ffc0f41015c019/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b9ffc0f41015c019/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..63a5f2b4118b7ce8cfb389ba76e4572cefc7817e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b9ffc0f41015c019/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:40.766557+00:00", + "ended_at": "2026-05-19T16:01:40.768895+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_b9ffc0f41015c019", + "problem_id": "v2p_m4_61c857649a517ff6", + "dataset_id": "m4", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=bmi, key_col=charges.", + "bindings": { + "key_col": "charges", + "measure_col": "bmi", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_b9ffc0f41015c019.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b9ffc0f41015c019/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b9ffc0f41015c019/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_b9ffc0f41015c019/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f3a2fbe50475103a4969852dae2dc954c65a9140 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/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=children, group_col_2=region. +Result preview: [{"children": "2", "region": "southeast", "row_count": 140}, {"children": "2", "region": "northwest", "row_count": 134}, {"children": "2", "region": "southwest", "row_count": 118}, {"children": "2", "region": "northeast", "row_count": 104}, {"children": "3", "region": "northwest", "row_count": 96}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..7343679165ab863300988e55d09428aa11f14b8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: count_distribution +-- template_id: tpl_c2_filtered_group_count_2d +-- query_record_id: v2q_m4_ba8cf27b7ff5bd5f +-- problem_id: v2p_m4_8392187836758640 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", "region", COUNT(*) AS "row_count" +FROM "m4" +WHERE CAST("children" AS REAL) >= 2.0 +GROUP BY "children", "region" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6abdb98e6336904aafb7c96e9533494322640978 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/query_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 \"children\", \"region\", COUNT(*) AS \"row_count\"\nFROM \"m4\"\nWHERE CAST(\"children\" AS REAL) >= 2.0\nGROUP BY \"children\", \"region\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"children\\\", \\\"region\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m4\\\"\\nWHERE CAST(\\\"children\\\" AS REAL) >= 2.0\\nGROUP BY \\\"children\\\", \\\"region\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"children\", \"region\", \"row_count\"], \"rows\": [{\"children\": \"2\", \"region\": \"southeast\", \"row_count\": 140}, {\"children\": \"2\", \"region\": \"northwest\", \"row_count\": 134}, {\"children\": \"2\", \"region\": \"southwest\", \"row_count\": 118}, {\"children\": \"2\", \"region\": \"northeast\", \"row_count\": 104}, {\"children\": \"3\", \"region\": \"northwest\", \"row_count\": 96}, {\"children\": \"3\", \"region\": \"northeast\", \"row_count\": 80}, {\"children\": \"3\", \"region\": \"southwest\", \"row_count\": 76}, {\"children\": \"3\", \"region\": \"southeast\", \"row_count\": 72}, {\"children\": \"5\", \"region\": \"southwest\", \"row_count\": 20}, {\"children\": \"4\", \"region\": \"southwest\", \"row_count\": 16}, {\"children\": \"4\", \"region\": \"northeast\", \"row_count\": 14}, {\"children\": \"4\", \"region\": \"northwest\", \"row_count\": 12}, {\"children\": \"5\", \"region\": \"southeast\", \"row_count\": 12}, {\"children\": \"4\", \"region\": \"southeast\", \"row_count\": 10}, {\"children\": \"5\", \"region\": \"northeast\", \"row_count\": 6}, {\"children\": \"5\", \"region\": \"northwest\", \"row_count\": 4}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.12}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..162ee9677cd053bf7638968095d68ccc61c1fce5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:38:59.526908+00:00", + "ended_at": "2026-05-19T15:39:11.949308+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_ba8cf27b7ff5bd5f", + "problem_id": "v2p_m4_8392187836758640", + "dataset_id": "m4", + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=children, group_col_2=region.", + "bindings": { + "group_col": "children", + "group_col_2": "region", + "predicate_col": "children", + "predicate_op": ">=", + "predicate_value": 2.0, + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=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_d/m4/sql/v2q_m4_ba8cf27b7ff5bd5f.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ba8cf27b7ff5bd5f", + "api_calls": 0, + "input_tokens": 13763, + "cached_input_tokens": 12672, + "output_tokens": 622, + "total_tokens": 14385, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12418.04, + "sql_execution_elapsed_ms_total": 1.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..06bfd75e57bedae23e28ef0be8f32e075228fa47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:39:11.946951+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12418.04, "started_at": "2026-05-19T15:38:59.528046+00:00", "ended_at": "2026-05-19T15:39:11.946123+00:00", "prompt_metrics": {"chars": 5611, "bytes_utf8": 5611, "lines": 184, "estimated_tokens": null}, "response_metrics": {"chars": 410, "bytes_utf8": 410, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13763, "cached_input_tokens": 12672, "output_tokens": 622, "reasoning_output_tokens": 507}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"children\\\", \\\"region\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m4\\\"\\nWHERE CAST(\\\"children\\\" AS REAL) >= 2.0\\nGROUP BY \\\"children\\\", \\\"region\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"children\\\" and group_col_2=\\\"region\\\". The filter casts \\\"children\\\" to REAL because the SQLite schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..147a0b423f5d192b4e30ce8dabd1ece53241f868 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ba8cf27b7ff5bd5f", + "api_calls": 0, + "input_tokens": 13763, + "cached_input_tokens": 12672, + "output_tokens": 622, + "total_tokens": 14385, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12418.04, + "sql_execution_elapsed_ms_total": 1.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ba8cf27b7ff5bd5f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d538befaa94cb08f3b62185fc0e81ca23bbd52cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=children, measure_col=children. +Result preview: [{"children": "2", "total_measure": 992}, {"children": "3", "total_measure": 972}, {"children": "1", "total_measure": 672}, {"children": "5", "total_measure": 210}, {"children": "4", "total_measure": 208}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0eb865edfffc667d188700cafc380056bfc99cc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_conditional_contrast +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m4_bacb0d07eba3b290 +-- problem_id: v2p_m4_43652859ff204b77 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", SUM(CAST("children" AS NUMERIC)) AS "total_measure" +FROM "m4" +GROUP BY "children" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2d6a2dc06bb7a320c4b9e45f66fec73f1aaa6c10 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT \"children\", SUM(CAST(\"children\" AS NUMERIC)) AS \"total_measure\"\nFROM \"m4\"\nGROUP BY \"children\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"children\\\", SUM(CAST(\\\"children\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"children\", \"total_measure\"], \"rows\": [{\"children\": \"2\", \"total_measure\": 992}, {\"children\": \"3\", \"total_measure\": 972}, {\"children\": \"1\", \"total_measure\": 672}, {\"children\": \"5\", \"total_measure\": 210}, {\"children\": \"4\", \"total_measure\": 208}, {\"children\": \"0\", \"total_measure\": 0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.91}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d5f7a60419433607ca9322a5326c9fb6ab76206b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:29:45.732341+00:00", + "ended_at": "2026-05-19T15:30:07.204501+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_bacb0d07eba3b290", + "problem_id": "v2p_m4_43652859ff204b77", + "dataset_id": "m4", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_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=children, measure_col=children.", + "bindings": { + "group_col": "children", + "measure_col": "children", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_d/m4/sql/v2q_m4_bacb0d07eba3b290.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_bacb0d07eba3b290", + "api_calls": 0, + "input_tokens": 13669, + "cached_input_tokens": 12032, + "output_tokens": 255, + "total_tokens": 13924, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21463.23, + "sql_execution_elapsed_ms_total": 2.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..17a5cc9558f642439c5d67b9b96daf5b7cdaa127 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:07.198869+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 21463.23, "started_at": "2026-05-19T15:29:45.733966+00:00", "ended_at": "2026-05-19T15:30:07.197241+00:00", "prompt_metrics": {"chars": 5302, "bytes_utf8": 5302, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 355, "bytes_utf8": 355, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13669, "cached_input_tokens": 12032, "output_tokens": 255, "reasoning_output_tokens": 160}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"children\\\", SUM(CAST(\\\"children\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the Grouped Numeric Sum template with group_col=\\\"children\\\" and measure_col=\\\"children\\\". CAST is used because the schema stores values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..35002d0668e656da065137d9444f839b4e792e4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_bacb0d07eba3b290", + "api_calls": 0, + "input_tokens": 13669, + "cached_input_tokens": 12032, + "output_tokens": 255, + "total_tokens": 13924, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21463.23, + "sql_execution_elapsed_ms_total": 2.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bacb0d07eba3b290/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..67aabcff02e7b07e27125c27ecaf553555a7db4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/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=smoker, measure_col=age. +Result preview: [{"smoker": "no", "total_measure": 86720.0}, {"smoker": "yes", "total_measure": 21692.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..20a9be30f2053cb8c2138191bce3603984cfbf2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m4_bb0257e4a0949e07 +-- problem_id: v2p_m4_74d1c723d8be620d +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", SUM(CAST("age" AS REAL)) AS total_measure +FROM "m4" +GROUP BY "smoker" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4a4ec75d48a52a03ef5e2449df97b45ab40e71dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/query_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 \"smoker\", SUM(CAST(\"age\" AS REAL)) AS total_measure\nFROM \"m4\"\nGROUP BY \"smoker\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"smoker\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"smoker\", \"total_measure\"], \"rows\": [{\"smoker\": \"no\", \"total_measure\": 86720.0}, {\"smoker\": \"yes\", \"total_measure\": 21692.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.13}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..63b54bb0bb1bd2460cc745b5951a006ca1118eb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:30:15.837596+00:00", + "ended_at": "2026-05-19T15:30:24.495447+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_bb0257e4a0949e07", + "problem_id": "v2p_m4_74d1c723d8be620d", + "dataset_id": "m4", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_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=smoker, measure_col=age.", + "bindings": { + "group_col": "smoker", + "measure_col": "age", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=6" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_bb0257e4a0949e07.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_bb0257e4a0949e07", + "api_calls": 0, + "input_tokens": 13671, + "cached_input_tokens": 12032, + "output_tokens": 319, + "total_tokens": 13990, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8652.92, + "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_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fed3be4652a7059cc35ab33d4df69bc2afd64165 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:24.493044+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8652.92, "started_at": "2026-05-19T15:30:15.839307+00:00", "ended_at": "2026-05-19T15:30:24.492264+00:00", "prompt_metrics": {"chars": 5290, "bytes_utf8": 5290, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 337, "bytes_utf8": 337, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13671, "cached_input_tokens": 12032, "output_tokens": 319, "reasoning_output_tokens": 224}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"smoker\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the provided grouped sum template with group_col=\\\"smoker\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" from TEXT to REAL for numeric aggregation in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1ca03723c3d4101a40110d7387d95efb48d18ad5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_bb0257e4a0949e07", + "api_calls": 0, + "input_tokens": 13671, + "cached_input_tokens": 12032, + "output_tokens": 319, + "total_tokens": 13990, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8652.92, + "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_d/m4/artifacts/v2q_m4_bb0257e4a0949e07/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f8f170dfe5ace43b32087b57b3c4233a82861858 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5610, "bytes_utf8": 5610, "lines": 184, "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": 442, "bytes_utf8": 442, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13765, "cached_input_tokens": 12672, "output_tokens": 465, "reasoning_output_tokens": 345}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7f853d8905e69b74799005e5e9ec72ba3833e9cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_bb820dc234c8f0ea", + "api_calls": 0, + "input_tokens": 13765, + "cached_input_tokens": 12672, + "output_tokens": 465, + "total_tokens": 14230, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11005.65, + "sql_execution_elapsed_ms_total": 1.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8fad009d219904232c8b57375c539f12dce9d17a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/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": "2026-05-19T15:38:22.048056+00:00", + "ended_at": "2026-05-19T15:38:33.053733+00:00", + "elapsed_ms": 11005.65, + "prompt_metrics": { + "chars": 5610, + "bytes_utf8": 5610, + "lines": 184, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 817, + "bytes_utf8": 817, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 442, + "bytes_utf8": 442, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13765, + "cached_input_tokens": 12672, + "output_tokens": 465, + "reasoning_output_tokens": 345 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..26faf78b60afbdd90a7be20a29b125bde47ce046 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,184 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=sex, group_col_2=children.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "sex", + "group_col_2": "children", + "predicate_col": "charges", + "predicate_op": ">=", + "predicate_value": 16577.7795, + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2423f6ac3914378ac686252e5c12a7ac8be73c70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-5aea-7b11-a668-3490f6c5d3b4"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"sex\\\", \\\"children\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m4\\\"\\nWHERE CAST(\\\"charges\\\" AS REAL) >= 16577.7795\\nGROUP BY \\\"sex\\\", \\\"children\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the specified filtered two-dimensional group count template with \\\"sex\\\" and \\\"children\\\" as grouping columns, and casts \\\"charges\\\" to REAL because it is stored as TEXT in the SQLite schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13765,"cached_input_tokens":12672,"output_tokens":465,"reasoning_output_tokens":345}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb9af2ab5dd17fcc5a379681d06e9ea259572aaf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"sex\", \"children\", COUNT(*) AS \"row_count\"\nFROM \"m4\"\nWHERE CAST(\"charges\" AS REAL) >= 16577.7795\nGROUP BY \"sex\", \"children\"\nORDER BY \"row_count\" DESC;","notes":"Uses the specified filtered two-dimensional group count template with \"sex\" and \"children\" as grouping columns, and casts \"charges\" to REAL because it is stored as TEXT in the SQLite schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb820dc234c8f0ea/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e5c6007c70216e39492b7a444c471a694451069d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:09.399184+00:00", + "ended_at": "2026-05-19T15:58:13.172617+00:00", + "elapsed_ms": 3773.4, + "returncode": 1, + "prompt_metrics": { + "chars": 5291, + "bytes_utf8": 5291, + "lines": 178, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1993625c7c088d83868bcfb4557b0fa10f48903e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:14.175200+00:00", + "ended_at": "2026-05-19T15:58:16.984821+00:00", + "elapsed_ms": 2809.57, + "returncode": 1, + "prompt_metrics": { + "chars": 5291, + "bytes_utf8": 5291, + "lines": 178, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f4130b23f778369b40fdcb4da1bf057b60df076 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=region.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "region", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f4130b23f778369b40fdcb4da1bf057b60df076 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=region.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "region", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f74958bd1de5b94f01308032d2fb59a020576ea8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-7922-7641-a229-5d62f9a8062b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..034618dc82efdd7d59a7b108643c0309d5f5aac1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-7922-7641-a229-5d62f9a8062b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..efc07d27fb1d22b97cc354a5d7b92b957239820e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-8bcb-79d2-af79-4480e7fe692a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..77d295917560c4535809cc0f7adc77863b8b6247 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-8bcb-79d2-af79-4480e7fe692a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bb95cd56703d20f0/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..eaa13a79d71b292439cb7e915c81cec9351ce3b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5471, "bytes_utf8": 5471, "lines": 180, "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": 741, "bytes_utf8": 741, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13707, "cached_input_tokens": 12672, "output_tokens": 1185, "reasoning_output_tokens": 966}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..684638bfcfcec9d94c5b9a84d4691332df7867cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_bbef42b991f2119f", + "api_calls": 0, + "input_tokens": 13707, + "cached_input_tokens": 12672, + "output_tokens": 1185, + "total_tokens": 14892, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22168.4, + "sql_execution_elapsed_ms_total": 6.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8652bc0aa206b97547469c94a99158ed456a6439 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/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": "2026-05-19T15:49:17.188722+00:00", + "ended_at": "2026-05-19T15:49:39.357152+00:00", + "elapsed_ms": 22168.4, + "prompt_metrics": { + "chars": 5471, + "bytes_utf8": 5471, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1159, + "bytes_utf8": 1159, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 741, + "bytes_utf8": 741, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13707, + "cached_input_tokens": 12672, + "output_tokens": 1185, + "reasoning_output_tokens": 966 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb2aa8955a09f5961933a26516a53a1411fdf10f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=region, measure_col=age.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "region", + "measure_col": "age", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..27e75d196ca4ead7f456eaa779e7da8e54dbfe11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-5a07-7450-a850-75845d47c396"} +{"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 \\\"region\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"region\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"cume_dist\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"region\\\" IS NOT NULL\\n AND \\\"age\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"region\\\",\\n MIN(\\\"age_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist\\\" >= 0.95\\nGROUP BY \\\"region\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to return the 95th percentile point per region. \\\"age\\\" is stored as TEXT in the schema, so it is cast to REAL before ordering and aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13707,"cached_input_tokens":12672,"output_tokens":1185,"reasoning_output_tokens":966}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..48643d4d75c6f63d7182e3dff37ba5da6646df00 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"region\",\n CAST(\"age\" AS REAL) AS \"age_value\",\n CUME_DIST() OVER (\n PARTITION BY \"region\"\n ORDER BY CAST(\"age\" AS REAL)\n ) AS \"cume_dist\"\n FROM \"m4\"\n WHERE \"region\" IS NOT NULL\n AND \"age\" IS NOT NULL\n)\nSELECT\n \"region\",\n MIN(\"age_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cume_dist\" >= 0.95\nGROUP BY \"region\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to return the 95th percentile point per region. \"age\" is stored as TEXT in the schema, so it is cast to REAL before ordering and aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..dab2b38eafc8b6f5fb3fffddf77b17a2cb698053 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/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=region, measure_col=age. +Result preview: [{"region": "southeast", "percentile_measure": 62.0}, {"region": "northwest", "percentile_measure": 62.0}, {"region": "southwest", "percentile_measure": 61.0}, {"region": "northeast", "percentile_measure": 61.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..98fb09267a7c60b1fb33e8a9acd3b12723a1eac6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/generated_sql.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m4_bbef42b991f2119f +-- problem_id: v2p_m4_c609c1705a417cd7 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "region", + CAST("age" AS REAL) AS "age_value", + CUME_DIST() OVER ( + PARTITION BY "region" + ORDER BY CAST("age" AS REAL) + ) AS "cume_dist" + FROM "m4" + WHERE "region" IS NOT NULL + AND "age" IS NOT NULL +) +SELECT + "region", + MIN("age_value") AS "percentile_measure" +FROM "ranked" +WHERE "cume_dist" >= 0.95 +GROUP BY "region" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2e1638ead3c0843edbf433bcd796e71eb6bc2424 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/query_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 \"region\",\n CAST(\"age\" AS REAL) AS \"age_value\",\n CUME_DIST() OVER (\n PARTITION BY \"region\"\n ORDER BY CAST(\"age\" AS REAL)\n ) AS \"cume_dist\"\n FROM \"m4\"\n WHERE \"region\" IS NOT NULL\n AND \"age\" IS NOT NULL\n)\nSELECT\n \"region\",\n MIN(\"age_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cume_dist\" >= 0.95\nGROUP BY \"region\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"region\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"region\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"cume_dist\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"region\\\" IS NOT NULL\\n AND \\\"age\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"region\\\",\\n MIN(\\\"age_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist\\\" >= 0.95\\nGROUP BY \\\"region\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"region\", \"percentile_measure\"], \"rows\": [{\"region\": \"southeast\", \"percentile_measure\": 62.0}, {\"region\": \"northwest\", \"percentile_measure\": 62.0}, {\"region\": \"southwest\", \"percentile_measure\": 61.0}, {\"region\": \"northeast\", \"percentile_measure\": 61.0}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 6.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e4cf9d473ed739157eaa25255e86567bf8572f43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:49:17.187766+00:00", + "ended_at": "2026-05-19T15:49:39.366234+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_bbef42b991f2119f", + "problem_id": "v2p_m4_c609c1705a417cd7", + "dataset_id": "m4", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=region, measure_col=age.", + "bindings": { + "group_col": "region", + "measure_col": "age", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=87" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_bbef42b991f2119f.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_bbef42b991f2119f", + "api_calls": 0, + "input_tokens": 13707, + "cached_input_tokens": 12672, + "output_tokens": 1185, + "total_tokens": 14892, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22168.4, + "sql_execution_elapsed_ms_total": 6.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d62a6c51340c48491429d9488f2f61fc0a3ee16d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:39.358099+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 22168.4, "started_at": "2026-05-19T15:49:17.188722+00:00", "ended_at": "2026-05-19T15:49:39.357152+00:00", "prompt_metrics": {"chars": 5471, "bytes_utf8": 5471, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 741, "bytes_utf8": 741, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13707, "cached_input_tokens": 12672, "output_tokens": 1185, "reasoning_output_tokens": 966}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"region\\\",\\n CAST(\\\"age\\\" AS REAL) AS \\\"age_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"region\\\"\\n ORDER BY CAST(\\\"age\\\" AS REAL)\\n ) AS \\\"cume_dist\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"region\\\" IS NOT NULL\\n AND \\\"age\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"region\\\",\\n MIN(\\\"age_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist\\\" >= 0.95\\nGROUP BY \\\"region\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to return the 95th percentile point per region. \\\"age\\\" is stored as TEXT in the schema, so it is cast to REAL before ordering and aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..672ccd216e8252e817c8a566ff33dcd61913bcd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_bbef42b991f2119f", + "api_calls": 0, + "input_tokens": 13707, + "cached_input_tokens": 12672, + "output_tokens": 1185, + "total_tokens": 14892, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22168.4, + "sql_execution_elapsed_ms_total": 6.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bbef42b991f2119f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..36a1c1aebf76cf3cb6398dba167b2cf66114af70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=region, measure_col=bmi. +Result preview: [{"region": "southwest", "charges": "10602.385", "total_measure": 161.2, "share_within_group": 0.7705618600560235}, {"region": "northwest", "charges": "12495.29085", "total_measure": 143.26, "share_within_group": 0.7402171565451298}, {"region": "southeast", "charges": "2927.0647", "total_measure": 186.12, "share_within_group": 0.7257628659912325}, {"region": "southwest", "charges": "8798.593", "total_measure": 148.0, "share_within_group": 0.7074637424831978}, {"region": "southeast", "charges": "8569.8618", "total_measure": 181.28, "share_within_group": 0.706889599972548}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..aa897d6a868c9e6cf62bcb8607ba9e51c0cac46d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m4_be18f4e3fa009900 +-- problem_id: v2p_m4_58d581b66c6dc580 +-- realization_mode: agent +-- source_kind: agent +SELECT + "region", + "charges", + SUM(CAST("bmi" AS REAL)) AS "total_measure", + SUM(CAST("bmi" AS REAL)) * 100.0 / SUM(SUM(CAST("bmi" AS REAL))) OVER (PARTITION BY "region") AS "share_within_group" +FROM "m4" +GROUP BY "region", "charges" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..082642f22914309167e53c6790ceb435714f729b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"region\",\n \"charges\",\n SUM(CAST(\"bmi\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"bmi\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"bmi\" AS REAL))) OVER (PARTITION BY \"region\") AS \"share_within_group\"\nFROM \"m4\"\nGROUP BY \"region\", \"charges\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"region\\\",\\n \\\"charges\\\",\\n SUM(CAST(\\\"bmi\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"bmi\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"bmi\\\" AS REAL))) OVER (PARTITION BY \\\"region\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\", \\\"charges\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"region\", \"charges\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"region\": \"southwest\", \"charges\": \"10602.385\", \"total_measure\": 161.2, \"share_within_group\": 0.7705618600560235}, {\"region\": \"northwest\", \"charges\": \"12495.29085\", \"total_measure\": 143.26, \"share_within_group\": 0.7402171565451298}, {\"region\": \"southeast\", \"charges\": \"2927.0647\", \"total_measure\": 186.12, \"share_within_group\": 0.7257628659912325}, {\"region\": \"southwest\", \"charges\": \"8798.593\", \"total_measure\": 148.0, \"share_within_group\": 0.7074637424831978}, {\"region\": \"southeast\", \"charges\": \"8569.8618\", \"total_measure\": 181.28, \"share_within_group\": 0.706889599972548}, {\"region\": \"northeast\", \"charges\": \"37607.5277\", \"total_measure\": 134.52, \"share_within_group\": 0.7011428231892096}, {\"region\": \"northwest\", \"charges\": \"26018.95052\", \"total_measure\": 130.72, \"share_within_group\": 0.6754236123382616}, {\"region\": \"southwest\", \"charges\": \"36837.467\", \"total_measure\": 141.2, \"share_within_group\": 0.674958651612348}, {\"region\": \"southwest\", \"charges\": \"7348.142\", \"total_measure\": 141.2, \"share_within_group\": 0.674958651612348}, {\"region\": \"southwest\", \"charges\": \"2020.177\", \"total_measure\": 138.4, \"share_within_group\": 0.6615742024302336}, {\"region\": \"southwest\", \"charges\": \"1826.843\", \"total_measure\": 137.6, \"share_within_group\": 0.6577500740924865}, {\"region\": \"southeast\", \"charges\": \"3238.4357\", \"total_measure\": 168.52, \"share_within_group\": 0.6571328077414705}, {\"region\": \"southeast\", \"charges\": \"39611.7577\", \"total_measure\": 168.52, \"share_within_group\": 0.6571328077414705}, {\"region\": \"southwest\", \"charges\": \"3987.926\", \"total_measure\": 136.8, \"share_within_group\": 0.6539259457547396}, {\"region\": \"southeast\", \"charges\": \"47269.854\", \"total_measure\": 167.2, \"share_within_group\": 0.6519855533727383}, {\"region\": \"northeast\", \"charges\": \"10797.3362\", \"total_measure\": 123.12, \"share_within_group\": 0.6417239398680901}, {\"region\": \"northwest\", \"charges\": \"1639.5631\", \"total_measure\": 122.36, \"share_within_group\": 0.6322279162003496}, {\"region\": \"southwest\", \"charges\": \"6238.298\", \"total_measure\": 130.0, \"share_within_group\": 0.6214208548838899}, {\"region\": \"southeast\", \"charges\": \"11090.7178\", \"total_measure\": 159.28, \"share_within_group\": 0.6211020271603455}, {\"region\": \"southeast\", \"charges\": \"1633.9618\", \"total_measure\": 159.28, \"share_within_group\": 0.6211020271603455}, {\"region\": \"northeast\", \"charges\": \"32108.66282\", \"total_measure\": 118.94, \"share_within_group\": 0.6199370159836797}, {\"region\": \"southeast\", \"charges\": \"13470.8044\", \"total_measure\": 156.64, \"share_within_group\": 0.6108075184228812}, {\"region\": \"southwest\", \"charges\": \"9850.432\", \"total_measure\": 126.4, \"share_within_group\": 0.6042122773640284}, {\"region\": \"northwest\", \"charges\": \"12224.35085\", \"total_measure\": 112.86, \"share_within_group\": 0.583141897861813}, {\"region\": \"southeast\", \"charges\": \"4673.3922\", \"total_measure\": 148.72, \"share_within_group\": 0.5799239922104884}, {\"region\": \"southeast\", \"charges\": \"49577.6624\", \"total_measure\": 147.84, \"share_within_group\": 0.5764924892980002}, {\"region\": \"southeast\", \"charges\": \"42211.1382\", \"total_measure\": 144.32, \"share_within_group\": 0.5627664776480479}, {\"region\": \"southwest\", \"charges\": \"6059.173\", \"total_measure\": 117.6, \"share_within_group\": 0.5621468656488112}, {\"region\": \"northwest\", \"charges\": \"16450.8947\", \"total_measure\": 104.12, \"share_within_group\": 0.5379827609903596}, {\"region\": \"southeast\", \"charges\": \"6289.7549\", \"total_measure\": 136.84, \"share_within_group\": 0.533598702891899}, {\"region\": \"southwest\", \"charges\": \"12233.828\", \"total_measure\": 110.0, \"share_within_group\": 0.5258176464402146}, {\"region\": \"southeast\", \"charges\": \"1135.9407\", \"total_measure\": 133.32, \"share_within_group\": 0.5198726912419467}, {\"region\": \"southeast\", \"charges\": \"3171.6149\", \"total_measure\": 132.44, \"share_within_group\": 0.5164411883294585}, {\"region\": \"northeast\", \"charges\": \"9432.9253\", \"total_measure\": 96.14, \"share_within_group\": 0.5010992493414407}, {\"region\": \"northwest\", \"charges\": \"8965.79575\", \"total_measure\": 96.9, \"share_within_group\": 0.5006773870530719}, {\"region\": \"northeast\", \"charges\": \"2395.17155\", \"total_measure\": 95.38, \"share_within_group\": 0.4971379904533661}, {\"region\": \"southwest\", \"charges\": \"10096.97\", \"total_measure\": 103.2, \"share_within_group\": 0.49331255556936493}, {\"region\": \"southwest\", \"charges\": \"9101.798\", \"total_measure\": 102.8, \"share_within_group\": 0.4914004914004914}, {\"region\": \"southeast\", \"charges\": \"35595.5898\", \"total_measure\": 124.08, \"share_within_group\": 0.48384191066082166}, {\"region\": \"northeast\", \"charges\": \"6985.50695\", \"total_measure\": 90.82, \"share_within_group\": 0.47337043712491833}, {\"region\": \"southwest\", \"charges\": \"1837.237\", \"total_measure\": 98.4, \"share_within_group\": 0.47036778554288283}, {\"region\": \"northeast\", \"charges\": \"9541.69555\", \"total_measure\": 89.49, \"share_within_group\": 0.4664382340707877}, {\"region\": \"southwest\", \"charges\": \"5615.369\", \"total_measure\": 97.2, \"share_within_group\": 0.46463159303626234}, {\"region\": \"southeast\", \"charges\": \"9487.6442\", \"total_measure\": 117.92, \"share_within_group\": 0.45982139027340496}, {\"region\": \"southwest\", \"charges\": \"46113.511\", \"total_measure\": 95.2, \"share_within_group\": 0.45507127219189475}, {\"region\": \"southwest\", \"charges\": \"2913.569\", \"total_measure\": 93.6, \"share_within_group\": 0.44742301551640073}, {\"region\": \"southwest\", \"charges\": \"11538.421\", \"total_measure\": 93.4, \"share_within_group\": 0.446466983431964}, {\"region\": \"northeast\", \"charges\": \"40904.1995\", \"total_measure\": 85.5, \"share_within_group\": 0.4456416249083959}, {\"region\": \"northeast\", \"charges\": \"5757.41345\", \"total_measure\": 85.31, \"share_within_group\": 0.4446513101863772}, {\"region\": \"northwest\", \"charges\": \"6360.9936\", \"total_measure\": 85.88, \"share_within_group\": 0.4437376057803695}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.57}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..97a96b90524925b728cea7e1d3628c822be639fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:35:29.502087+00:00", + "ended_at": "2026-05-19T15:35:42.359654+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_be18f4e3fa009900", + "problem_id": "v2p_m4_58d581b66c6dc580", + "dataset_id": "m4", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=region, measure_col=bmi.", + "bindings": { + "group_col": "region", + "measure_col": "bmi", + "item_col": "charges", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=31" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_be18f4e3fa009900.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_be18f4e3fa009900", + "api_calls": 0, + "input_tokens": 13787, + "cached_input_tokens": 12672, + "output_tokens": 602, + "total_tokens": 14389, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12847.52, + "sql_execution_elapsed_ms_total": 6.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d50d4b6ed49e8dba8070e897b6aa92c3c02f4e3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:42.351410+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12847.52, "started_at": "2026-05-19T15:35:29.503022+00:00", "ended_at": "2026-05-19T15:35:42.350564+00:00", "prompt_metrics": {"chars": 5695, "bytes_utf8": 5695, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 568, "bytes_utf8": 568, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13787, "cached_input_tokens": 12672, "output_tokens": 602, "reasoning_output_tokens": 433}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"region\\\",\\n \\\"charges\\\",\\n SUM(CAST(\\\"bmi\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"bmi\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"bmi\\\" AS REAL))) OVER (PARTITION BY \\\"region\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\", \\\"charges\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"region\\\", item_col=\\\"charges\\\", and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" from TEXT to REAL for numeric aggregation in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..36d2776706822dbfbbe41b9f6bb65e75b6896527 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_be18f4e3fa009900", + "api_calls": 0, + "input_tokens": 13787, + "cached_input_tokens": 12672, + "output_tokens": 602, + "total_tokens": 14389, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12847.52, + "sql_execution_elapsed_ms_total": 6.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be18f4e3fa009900/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6975d6d4ff00e1a03ccef832dde35496777ff144 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5841, "bytes_utf8": 5841, "lines": 180, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 598, "bytes_utf8": 598, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13807, "cached_input_tokens": 12672, "output_tokens": 447, "reasoning_output_tokens": 285}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f53b0b7da6e03aff0ae8fb4554fa6ef33ec4775a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_be9658ffd6046ede", + "api_calls": 0, + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 447, + "total_tokens": 14254, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11595.63, + "sql_execution_elapsed_ms_total": 2.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fcc775463ca63190ebcc93e2c835053ba05ca0aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:31.764862+00:00", + "ended_at": "2026-05-19T15:41:43.360522+00:00", + "elapsed_ms": 11595.63, + "prompt_metrics": { + "chars": 5841, + "bytes_utf8": 5841, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 969, + "bytes_utf8": 969, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 598, + "bytes_utf8": 598, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 447, + "reasoning_output_tokens": 285 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa319e3d45b0802859bbf38a71e52f8843c5b8a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=sex, measure_col=age.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "sex", + "measure_col": "age", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5463dc5d50a3cf020cd5fe7677d5cc3ad206fa93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-400a-7022-92f1-7f4390f40feb"} +{"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 \\\"sex\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"sex\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"sex\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\\\"sex\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13807,"cached_input_tokens":12672,"output_tokens":447,"reasoning_output_tokens":285}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..895ec7014b259a323e2b24370d9b45c33f50d3f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"sex\", SUM(CAST(\"age\" AS REAL)) AS group_value\n FROM \"m4\"\n GROUP BY \"sex\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"sex\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Applied the planned Relative-to-Total Extreme Threshold template with group_col=\"sex\" and measure_col=\"age\". Cast \"age\" to REAL because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_be9658ffd6046ede/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3d7a5b2cb4a03cd8c10ce975a966de9e06d70e65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6101, "bytes_utf8": 6101, "lines": 183, "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": 700, "bytes_utf8": 700, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13878, "cached_input_tokens": 12032, "output_tokens": 452, "reasoning_output_tokens": 264}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a4b2f9dc0241116432ebc584bdbda7bdfb785048 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_bfe3b0ab68a80b7a", + "api_calls": 0, + "input_tokens": 13878, + "cached_input_tokens": 12032, + "output_tokens": 452, + "total_tokens": 14330, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10697.84, + "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_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a58aebadd4a17a016c471b57387f22c157db0fa7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:31.109032+00:00", + "ended_at": "2026-05-19T15:36:41.806906+00:00", + "elapsed_ms": 10697.84, + "prompt_metrics": { + "chars": 6101, + "bytes_utf8": 6101, + "lines": 183, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1069, + "bytes_utf8": 1069, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 700, + "bytes_utf8": 700, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13878, + "cached_input_tokens": 12032, + "output_tokens": 452, + "reasoning_output_tokens": 264 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..761723694abfee2634eef1de7e19a9e10c354e41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,183 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=sex, condition_col=sex.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "sex", + "condition_col": "sex", + "condition_value": "male", + "positive_value": "male", + "negative_value": "female", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c53cc34d8a35a39a6aabbd1ea133e382d1c09d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-a989-7c20-9814-8d4011fff20c"} +{"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 \\\"sex\\\",\\n SUM(CASE WHEN \\\"sex\\\" = 'male' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"sex\\\" = 'female' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"sex\\\"\\n)\\nSELECT \\\"sex\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the provided template with group_col=\\\"sex\\\" and condition_col=\\\"sex\\\". Because the grouping column and condition column are the same, the male group yields a NULL ratio (division by zero) and the female group yields 0.0.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13878,"cached_input_tokens":12032,"output_tokens":452,"reasoning_output_tokens":264}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..489bbb8cc935f5baa751aa06ca5f9b9593b4a375 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"sex\",\n SUM(CASE WHEN \"sex\" = 'male' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"sex\" = 'female' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m4\"\n GROUP BY \"sex\"\n)\nSELECT \"sex\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Applied the provided template with group_col=\"sex\" and condition_col=\"sex\". Because the grouping column and condition column are the same, the male group yields a NULL ratio (division by zero) and the female group yields 0.0."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..55de7c1b5982c1ebf7a0f6fe59493b2fa2ac8a5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/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=sex, condition_col=sex. +Result preview: [{"sex": "female", "condition_ratio": 0.0}, {"sex": "male", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9eb738da879f9a0ad26ee212deb7e6494ca1619c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m4_bfe3b0ab68a80b7a +-- problem_id: v2p_m4_9d398e4a5d98918b +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "sex", + SUM(CASE WHEN "sex" = 'male' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "sex" = 'female' THEN 1 ELSE 0 END) AS denominator_count + FROM "m4" + GROUP BY "sex" +) +SELECT "sex", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..88b10583265373897f59833980f45907277c65c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/query_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 \"sex\",\n SUM(CASE WHEN \"sex\" = 'male' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"sex\" = 'female' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m4\"\n GROUP BY \"sex\"\n)\nSELECT \"sex\",\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 \\\"sex\\\",\\n SUM(CASE WHEN \\\"sex\\\" = 'male' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"sex\\\" = 'female' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"sex\\\"\\n)\\nSELECT \\\"sex\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"sex\", \"condition_ratio\"], \"rows\": [{\"sex\": \"female\", \"condition_ratio\": 0.0}, {\"sex\": \"male\", \"condition_ratio\": null}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.32}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3d358caa5709aa38ee6e8574d7ca220e6f0be2e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:36:31.107547+00:00", + "ended_at": "2026-05-19T15:36:41.810722+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_bfe3b0ab68a80b7a", + "problem_id": "v2p_m4_9d398e4a5d98918b", + "dataset_id": "m4", + "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=sex, condition_col=sex.", + "bindings": { + "group_col": "sex", + "condition_col": "sex", + "condition_value": "male", + "positive_value": "male", + "negative_value": "female", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "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_d/m4/sql/v2q_m4_bfe3b0ab68a80b7a.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_bfe3b0ab68a80b7a", + "api_calls": 0, + "input_tokens": 13878, + "cached_input_tokens": 12032, + "output_tokens": 452, + "total_tokens": 14330, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10697.84, + "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_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fe09793d14dfa10bfc62256fd50448c44975e094 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:41.807641+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10697.84, "started_at": "2026-05-19T15:36:31.109032+00:00", "ended_at": "2026-05-19T15:36:41.806906+00:00", "prompt_metrics": {"chars": 6101, "bytes_utf8": 6101, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 700, "bytes_utf8": 700, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13878, "cached_input_tokens": 12032, "output_tokens": 452, "reasoning_output_tokens": 264}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"sex\\\",\\n SUM(CASE WHEN \\\"sex\\\" = 'male' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"sex\\\" = 'female' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"sex\\\"\\n)\\nSELECT \\\"sex\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the provided template with group_col=\\\"sex\\\" and condition_col=\\\"sex\\\". Because the grouping column and condition column are the same, the male group yields a NULL ratio (division by zero) and the female group yields 0.0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0162fc4470565813083651a9c8a953e0173c8238 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_bfe3b0ab68a80b7a", + "api_calls": 0, + "input_tokens": 13878, + "cached_input_tokens": 12032, + "output_tokens": 452, + "total_tokens": 14330, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10697.84, + "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_d/m4/artifacts/v2q_m4_bfe3b0ab68a80b7a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec3b84252230101850a1c463301c9dffad171090 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/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=children. +Result preview: [{"children": "0", "row_count": 1186}, {"children": "1", "row_count": 672}, {"children": "2", "row_count": 496}, {"children": "3", "row_count": 324}, {"children": "4", "row_count": 52}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..98dd0cf21cf465b2e90e8009a06ae9ceebafbe32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: subgroup_size_stability +-- intended_facet_id: subgroup_distribution_shift +-- variant_semantic_role: count_distribution +-- template_id: tpl_clickbench_group_count +-- query_record_id: v2q_m4_c05871bbd73d4ff8 +-- problem_id: v2p_m4_4829ed9ea3c6e8c9 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", COUNT(*) AS "row_count" +FROM "m4" +GROUP BY "children" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..40307b86cdfc71cb0c0e766e87973ac88b3711b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/query_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 \"children\", COUNT(*) AS \"row_count\"\nFROM \"m4\"\nGROUP BY \"children\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count.\\nSELECT \\\"children\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"children\", \"row_count\"], \"rows\": [{\"children\": \"0\", \"row_count\": 1186}, {\"children\": \"1\", \"row_count\": 672}, {\"children\": \"2\", \"row_count\": 496}, {\"children\": \"3\", \"row_count\": 324}, {\"children\": \"4\", \"row_count\": 52}, {\"children\": \"5\", \"row_count\": 42}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.13}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f6f078da5f9735f0e3d56391e1ecb158fd037f0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:31:18.619591+00:00", + "ended_at": "2026-05-19T15:31:27.700935+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_c05871bbd73d4ff8", + "problem_id": "v2p_m4_4829ed9ea3c6e8c9", + "dataset_id": "m4", + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "family_id": "subgroup_structure", + "canonical_subitem_id": "subgroup_size_stability", + "intended_facet_id": "subgroup_distribution_shift", + "variant_semantic_role": "count_distribution", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=children.", + "bindings": { + "group_col": "children", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/1", + "binding_index=17" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_c05871bbd73d4ff8.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_c05871bbd73d4ff8", + "api_calls": 0, + "input_tokens": 13644, + "cached_input_tokens": 12032, + "output_tokens": 333, + "total_tokens": 13977, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9077.46, + "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_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f74de7d7898ed9dd9b18f1ef4f0e51e9ea0a4960 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:27.698552+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 9077.46, "started_at": "2026-05-19T15:31:18.620306+00:00", "ended_at": "2026-05-19T15:31:27.697789+00:00", "prompt_metrics": {"chars": 5212, "bytes_utf8": 5212, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 303, "bytes_utf8": 303, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13644, "cached_input_tokens": 12032, "output_tokens": 333, "reasoning_output_tokens": 254}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count.\\nSELECT \\\"children\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the provided Grouped Count by Category template with group_col bound to \\\"children\\\" to show subgroup size distribution.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..428acae26d58e0c705f2818fc77e8ef0fd5f67df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_c05871bbd73d4ff8", + "api_calls": 0, + "input_tokens": 13644, + "cached_input_tokens": 12032, + "output_tokens": 333, + "total_tokens": 13977, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9077.46, + "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_d/m4/artifacts/v2q_m4_c05871bbd73d4ff8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c07dfc5e2c2017b8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c07dfc5e2c2017b8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..614b3c0a8f9ad5de617e20f15d6e4738ac6fd22b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c07dfc5e2c2017b8/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"age": "18", "support": 148, "avg_response": 31.180608108108107}, {"age": "19", "support": 142, "avg_response": 28.431267605633803}, {"age": "52", "support": 62, "avg_response": 33.152419354838706}, {"age": "47", "support": 62, "avg_response": 31.311774193548384}, {"age": "23", "support": 62, "avg_response": 30.893064516129034}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c07dfc5e2c2017b8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c07dfc5e2c2017b8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..34d08b5a094a3ee38a6ef4f78c35761fbb386429 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c07dfc5e2c2017b8/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m4_c07dfc5e2c2017b8 +-- problem_id: v2p_m4_39afe1fbf5a93a7f +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "age", + COUNT(*) AS support, + AVG("bmi") AS avg_response +FROM "m4" +GROUP BY "age" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c07dfc5e2c2017b8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c07dfc5e2c2017b8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ef0964d327efcb99b93955dee610897b5747155a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c07dfc5e2c2017b8/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: m4\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m4_c07dfc5e2c2017b8\n-- problem_id: v2p_m4_39afe1fbf5a93a7f\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"age\",\n COUNT(*) AS support,\n AVG(\"bmi\") AS avg_response\nFROM \"m4\"\nGROUP BY \"age\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: m4\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m4_c07dfc5e2c2017b8\\n-- problem_id: v2p_m4_39afe1fbf5a93a7f\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"age\\\",\\n COUNT(*) AS support,\\n AVG(\\\"bmi\\\") AS avg_response\\nFROM \\\"m4\\\"\\nGROUP BY \\\"age\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"age\", \"support\", \"avg_response\"], \"rows\": [{\"age\": \"18\", \"support\": 148, \"avg_response\": 31.180608108108107}, {\"age\": \"19\", \"support\": 142, \"avg_response\": 28.431267605633803}, {\"age\": \"52\", \"support\": 62, \"avg_response\": 33.152419354838706}, {\"age\": \"47\", \"support\": 62, \"avg_response\": 31.311774193548384}, {\"age\": \"23\", \"support\": 62, \"avg_response\": 30.893064516129034}, {\"age\": \"45\", \"support\": 62, \"avg_response\": 29.825483870967744}, {\"age\": \"51\", \"support\": 60, \"avg_response\": 31.902833333333334}, {\"age\": \"54\", \"support\": 60, \"avg_response\": 31.399166666666666}, {\"age\": \"46\", \"support\": 60, \"avg_response\": 31.156166666666664}, {\"age\": \"22\", \"support\": 60, \"avg_response\": 30.7585}, {\"age\": \"26\", \"support\": 60, \"avg_response\": 30.158}, {\"age\": \"28\", \"support\": 60, \"avg_response\": 29.430333333333333}, {\"age\": \"21\", \"support\": 60, \"avg_response\": 28.549333333333333}, {\"age\": \"48\", \"support\": 58, \"avg_response\": 31.925689655172416}, {\"age\": \"50\", \"support\": 58, \"avg_response\": 31.132241379310347}, {\"age\": \"20\", \"support\": 58, \"avg_response\": 30.632758620689657}, {\"age\": \"53\", \"support\": 58, \"avg_response\": 30.33051724137931}, {\"age\": \"25\", \"support\": 58, \"avg_response\": 30.122758620689652}, {\"age\": \"27\", \"support\": 58, \"avg_response\": 29.774827586206897}, {\"age\": \"56\", \"support\": 56, \"avg_response\": 32.20517857142857}, {\"age\": \"32\", \"support\": 56, \"avg_response\": 31.869642857142857}, {\"age\": \"41\", \"support\": 56, \"avg_response\": 31.603392857142858}, {\"age\": \"44\", \"support\": 56, \"avg_response\": 30.804642857142856}, {\"age\": \"30\", \"support\": 56, \"avg_response\": 30.726964285714285}, {\"age\": \"49\", \"support\": 56, \"avg_response\": 30.31392857142857}, {\"age\": \"24\", \"support\": 56, \"avg_response\": 29.142678571428572}, {\"age\": \"33\", \"support\": 54, \"avg_response\": 31.09777777777778}, {\"age\": \"57\", \"support\": 54, \"avg_response\": 30.446481481481484}, {\"age\": \"42\", \"support\": 54, \"avg_response\": 30.32814814814815}, {\"age\": \"43\", \"support\": 54, \"avg_response\": 30.204444444444444}, {\"age\": \"40\", \"support\": 54, \"avg_response\": 30.139074074074074}, {\"age\": \"31\", \"support\": 54, \"avg_response\": 29.918333333333333}, {\"age\": \"39\", \"support\": 54, \"avg_response\": 29.795555555555556}, {\"age\": \"29\", \"support\": 54, \"avg_response\": 29.38314814814815}, {\"age\": \"58\", \"support\": 52, \"avg_response\": 32.545}, {\"age\": \"55\", \"support\": 52, \"avg_response\": 31.950000000000003}, {\"age\": \"37\", \"support\": 52, \"avg_response\": 30.88923076923077}, {\"age\": \"59\", \"support\": 52, \"avg_response\": 30.45384615384615}, {\"age\": \"34\", \"support\": 52, \"avg_response\": 30.27403846153846}, {\"age\": \"35\", \"support\": 50, \"avg_response\": 31.3948}, {\"age\": \"36\", \"support\": 50, \"avg_response\": 29.374200000000002}, {\"age\": \"38\", \"support\": 50, \"avg_response\": 28.996599999999997}, {\"age\": \"62\", \"support\": 48, \"avg_response\": 32.626666666666665}, {\"age\": \"64\", \"support\": 46, \"avg_response\": 33.14934782608695}, {\"age\": \"61\", \"support\": 46, \"avg_response\": 32.54826086956522}, {\"age\": \"63\", \"support\": 46, \"avg_response\": 31.923478260869565}, {\"age\": \"60\", \"support\": 46, \"avg_response\": 30.33282608695652}], \"row_count_returned\": 47, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.01}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c07dfc5e2c2017b8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c07dfc5e2c2017b8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..aadbd0732b5712aa8e4f052f11c11916c08531d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c07dfc5e2c2017b8/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:40.751273+00:00", + "ended_at": "2026-05-19T16:01:40.754138+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_c07dfc5e2c2017b8", + "problem_id": "v2p_m4_39afe1fbf5a93a7f", + "dataset_id": "m4", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=bmi, key_col=age.", + "bindings": { + "key_col": "age", + "measure_col": "bmi", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=1", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_c07dfc5e2c2017b8.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c07dfc5e2c2017b8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c07dfc5e2c2017b8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c07dfc5e2c2017b8/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c3f438951bad308b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c3f438951bad308b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..64d0a49154c308bb4bd5ee76abf057b945a55d8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c3f438951bad308b/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:00:21.412096+00:00", + "ended_at": "2026-05-19T16:00:29.031920+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_c3f438951bad308b", + "problem_id": "v2p_m4_bba83020a59677d6", + "dataset_id": "m4", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "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=region, measure_col=age.", + "bindings": { + "group_col": "region", + "measure_col": "age", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=2/2", + "binding_index=135" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 4, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c3f438951bad308b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c3f438951bad308b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..37eaa931a8e01905c5e0728fbb8d80299c3d63c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c3f438951bad308b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:00:24.519031+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": 3105.37, "started_at": "2026-05-19T16:00:21.412874+00:00", "ended_at": "2026-05-19T16:00:24.518264+00:00", "prompt_metrics": {"chars": 5376, "bytes_utf8": 5376, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f7-7cb6-7e60-b233-e98849130d73\"}\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": "2026-05-19T16:00:29.031835+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": 3510.86, "started_at": "2026-05-19T16:00:25.520305+00:00", "ended_at": "2026-05-19T16:00:29.031204+00:00", "prompt_metrics": {"chars": 5376, "bytes_utf8": 5376, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f7-8cbd-7c62-9e1e-f915f9c2a3ca\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..75db5788a2ddd0e5cf06a4e210e52d6ce9aedc3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5545, "bytes_utf8": 5545, "lines": 183, "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": 5545, "bytes_utf8": 5545, "lines": 183, "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": 474, "bytes_utf8": 474, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13731, "cached_input_tokens": 12032, "output_tokens": 348, "reasoning_output_tokens": 221}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e348621a6e563a839c3345aea56ce7d410b4d81a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_c53a9eff0517989a", + "api_calls": 0, + "input_tokens": 13731, + "cached_input_tokens": 12032, + "output_tokens": 348, + "total_tokens": 14079, + "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": 12048.27, + "sql_execution_elapsed_ms_total": 2.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8766cf201a9bcdf16caad1b9d34170894ef96115 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:06.868561+00:00", + "ended_at": "2026-05-19T15:53:10.232491+00:00", + "elapsed_ms": 3363.9, + "returncode": 1, + "prompt_metrics": { + "chars": 5545, + "bytes_utf8": 5545, + "lines": 183, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f5a13b8ddf93c0bb4ab07f39e858547b4487a4d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:11.234580+00:00", + "ended_at": "2026-05-19T15:53:19.919051+00:00", + "elapsed_ms": 8684.37, + "prompt_metrics": { + "chars": 5545, + "bytes_utf8": 5545, + "lines": 183, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 825, + "bytes_utf8": 825, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 474, + "bytes_utf8": 474, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13731, + "cached_input_tokens": 12032, + "output_tokens": 348, + "reasoning_output_tokens": 221 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a3162b95b57532cdbe4bf2ba527fd33865f4bd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,183 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=sex, condition_col=sex.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "sex", + "condition_col": "sex", + "condition_value": "male", + "positive_value": "male", + "negative_value": "female", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a3162b95b57532cdbe4bf2ba527fd33865f4bd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,183 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=sex, condition_col=sex.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "sex", + "condition_col": "sex", + "condition_value": "male", + "positive_value": "male", + "negative_value": "female", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..daae6940f9867f4525200d008cf4fe050c4a8c49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-db42-73a0-99f5-d40658d644b2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc303cc3de2e00cbe865fd11651058c2b78b4622 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-db42-73a0-99f5-d40658d644b2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2d6c237599bd0886b402a76720ff12bb52ada20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-ec5d-7193-9d75-fa5f1d986cd3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sex\\\",\\n AVG(CASE WHEN \\\"sex\\\" = 'male' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the required Grouped Condition Rate template with group_col and condition_col both bound to \\\"sex\\\" and condition_value fixed to 'male'. This produces a within-group proportion that is structurally 1.0 for the male group and 0.0 for the female group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13731,"cached_input_tokens":12032,"output_tokens":348,"reasoning_output_tokens":221}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c16f46a0540b07b3b0e79cccfd0a9c882ef512a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"sex\",\n AVG(CASE WHEN \"sex\" = 'male' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m4\"\nGROUP BY \"sex\"\nORDER BY condition_rate DESC;","notes":"Uses the required Grouped Condition Rate template with group_col and condition_col both bound to \"sex\" and condition_value fixed to 'male'. This produces a within-group proportion that is structurally 1.0 for the male group and 0.0 for the female group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ea70eb811470574e8ba211e287ae74b0e1cc2bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/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=sex, condition_col=sex. +Result preview: [{"sex": "male", "condition_rate": 1.0}, {"sex": "female", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fc50d1c5f1e0f1964877465efacf8c96a016317f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m4_c53a9eff0517989a +-- problem_id: v2p_m4_a2e4e28db1af967e +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", + AVG(CASE WHEN "sex" = 'male' THEN 1 ELSE 0 END) AS condition_rate +FROM "m4" +GROUP BY "sex" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..19f7c27987200c504f260b281c3887f0f284f530 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/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 \"sex\",\n AVG(CASE WHEN \"sex\" = 'male' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m4\"\nGROUP BY \"sex\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sex\\\",\\n AVG(CASE WHEN \\\"sex\\\" = 'male' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"sex\", \"condition_rate\"], \"rows\": [{\"sex\": \"male\", \"condition_rate\": 1.0}, {\"sex\": \"female\", \"condition_rate\": 0.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.67}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e71b862d31a551d3fd86f7156eccba07de5e92dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:53:06.867040+00:00", + "ended_at": "2026-05-19T15:53:19.926072+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_c53a9eff0517989a", + "problem_id": "v2p_m4_a2e4e28db1af967e", + "dataset_id": "m4", + "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=sex, condition_col=sex.", + "bindings": { + "group_col": "sex", + "condition_col": "sex", + "condition_value": "male", + "positive_value": "male", + "negative_value": "female", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=96" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_c53a9eff0517989a.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_c53a9eff0517989a", + "api_calls": 0, + "input_tokens": 13731, + "cached_input_tokens": 12032, + "output_tokens": 348, + "total_tokens": 14079, + "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": 12048.27, + "sql_execution_elapsed_ms_total": 2.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..85435b17270af16006fe33786bb3fe6790b1b841 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:53:10.233233+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": 3363.9, "started_at": "2026-05-19T15:53:06.868561+00:00", "ended_at": "2026-05-19T15:53:10.232491+00:00", "prompt_metrics": {"chars": 5545, "bytes_utf8": 5545, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f0-db42-73a0-99f5-d40658d644b2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:53:19.920577+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": 8684.37, "started_at": "2026-05-19T15:53:11.234580+00:00", "ended_at": "2026-05-19T15:53:19.919051+00:00", "prompt_metrics": {"chars": 5545, "bytes_utf8": 5545, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 474, "bytes_utf8": 474, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13731, "cached_input_tokens": 12032, "output_tokens": 348, "reasoning_output_tokens": 221}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sex\\\",\\n AVG(CASE WHEN \\\"sex\\\" = 'male' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the required Grouped Condition Rate template with group_col and condition_col both bound to \\\"sex\\\" and condition_value fixed to 'male'. This produces a within-group proportion that is structurally 1.0 for the male group and 0.0 for the female group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..91fe48939fee961fe242a59535924d3d10998569 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_c53a9eff0517989a", + "api_calls": 0, + "input_tokens": 13731, + "cached_input_tokens": 12032, + "output_tokens": 348, + "total_tokens": 14079, + "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": 12048.27, + "sql_execution_elapsed_ms_total": 2.67, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c53a9eff0517989a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..28aa3891e594ac95826df346611d9f7f776f8bcc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5294, "bytes_utf8": 5294, "lines": 180, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 343, "bytes_utf8": 343, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13670, "cached_input_tokens": 12032, "output_tokens": 272, "reasoning_output_tokens": 176}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4540cbe1f0fa178dace09c98664a32903a7f6487 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_c764f55d0078a3fa", + "api_calls": 0, + "input_tokens": 13670, + "cached_input_tokens": 12032, + "output_tokens": 272, + "total_tokens": 13942, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8619.3, + "sql_execution_elapsed_ms_total": 1.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..da67940992fb50890241c5bc1b31cc771332d0ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/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": "2026-05-19T15:28:35.017366+00:00", + "ended_at": "2026-05-19T15:28:43.636692+00:00", + "elapsed_ms": 8619.3, + "prompt_metrics": { + "chars": 5294, + "bytes_utf8": 5294, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 701, + "bytes_utf8": 701, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 343, + "bytes_utf8": 343, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13670, + "cached_input_tokens": 12032, + "output_tokens": 272, + "reasoning_output_tokens": 176 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..190148437ff43b960878bb8fc4e86f9e96faf91b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=children, measure_col=bmi.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "children", + "measure_col": "bmi", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca43b49f0f81463b9d3908687995ac7717a77e65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-65c8-7131-846d-3db1840c9a6a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"children\\\", SUM(CAST(\\\"bmi\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required grouped-sum template with group_col=\\\"children\\\" and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" from TEXT to REAL for numeric aggregation in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13670,"cached_input_tokens":12032,"output_tokens":272,"reasoning_output_tokens":176}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..830839f22e91621cb15b16583a03eaaed318668e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"children\", SUM(CAST(\"bmi\" AS REAL)) AS total_measure\nFROM \"m4\"\nGROUP BY \"children\"\nORDER BY total_measure DESC;","notes":"Used the required grouped-sum template with group_col=\"children\" and measure_col=\"bmi\". Cast \"bmi\" from TEXT to REAL for numeric aggregation in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_c764f55d0078a3fa/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cd245e384efc2a5c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cd245e384efc2a5c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9bfe65bba18b70093f8bd53bf02987446d30935 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cd245e384efc2a5c/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"bmi": "32.3", "support": 26, "avg_response": 1.7692307692307692}, {"bmi": "28.31", "support": 18, "avg_response": 0.7777777777777778}, {"bmi": "25.8", "support": 16, "avg_response": 1.75}, {"bmi": "30.875", "support": 16, "avg_response": 1.625}, {"bmi": "30.8", "support": 16, "avg_response": 1.5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cd245e384efc2a5c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cd245e384efc2a5c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0048495e96fd1835e4a45c274e7638f8038300b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cd245e384efc2a5c/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: high_cardinality_response_stability +-- intended_facet_id: target_cardinality_cross_section +-- variant_semantic_role: focused_target_view +-- template_id: tpl_cardinality_high_card_response_stability +-- query_record_id: v2q_m4_cd245e384efc2a5c +-- problem_id: v2p_m4_b9de23b389bc6aff +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "bmi", + COUNT(*) AS support, + AVG("children") AS avg_response +FROM "m4" +GROUP BY "bmi" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cd245e384efc2a5c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cd245e384efc2a5c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..79dc5c245620199522c4c6a863ab374098c11cbe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cd245e384efc2a5c/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: m4\n-- family_id: cardinality_structure\n-- canonical_subitem_id: high_cardinality_response_stability\n-- intended_facet_id: target_cardinality_cross_section\n-- variant_semantic_role: focused_target_view\n-- template_id: tpl_cardinality_high_card_response_stability\n-- query_record_id: v2q_m4_cd245e384efc2a5c\n-- problem_id: v2p_m4_b9de23b389bc6aff\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"bmi\",\n COUNT(*) AS support,\n AVG(\"children\") AS avg_response\nFROM \"m4\"\nGROUP BY \"bmi\"\nHAVING COUNT(*) >= 5.0\nORDER BY support DESC, avg_response DESC;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: m4\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: high_cardinality_response_stability\\n-- intended_facet_id: target_cardinality_cross_section\\n-- variant_semantic_role: focused_target_view\\n-- template_id: tpl_cardinality_high_card_response_stability\\n-- query_record_id: v2q_m4_cd245e384efc2a5c\\n-- problem_id: v2p_m4_b9de23b389bc6aff\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"bmi\\\",\\n COUNT(*) AS support,\\n AVG(\\\"children\\\") AS avg_response\\nFROM \\\"m4\\\"\\nGROUP BY \\\"bmi\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"bmi\", \"support\", \"avg_response\"], \"rows\": [{\"bmi\": \"32.3\", \"support\": 26, \"avg_response\": 1.7692307692307692}, {\"bmi\": \"28.31\", \"support\": 18, \"avg_response\": 0.7777777777777778}, {\"bmi\": \"25.8\", \"support\": 16, \"avg_response\": 1.75}, {\"bmi\": \"30.875\", \"support\": 16, \"avg_response\": 1.625}, {\"bmi\": \"30.8\", \"support\": 16, \"avg_response\": 1.5}, {\"bmi\": \"30.495\", \"support\": 16, \"avg_response\": 1.375}, {\"bmi\": \"31.35\", \"support\": 16, \"avg_response\": 1.25}, {\"bmi\": \"33.33\", \"support\": 16, \"avg_response\": 1.25}, {\"bmi\": \"34.1\", \"support\": 16, \"avg_response\": 1.125}, {\"bmi\": \"28.88\", \"support\": 16, \"avg_response\": 0.875}, {\"bmi\": \"34.8\", \"support\": 14, \"avg_response\": 1.5714285714285714}, {\"bmi\": \"32.775\", \"support\": 14, \"avg_response\": 1.4285714285714286}, {\"bmi\": \"33.63\", \"support\": 14, \"avg_response\": 1.4285714285714286}, {\"bmi\": \"27.5\", \"support\": 14, \"avg_response\": 1.1428571428571428}, {\"bmi\": \"24.32\", \"support\": 14, \"avg_response\": 1.0}, {\"bmi\": \"27.645\", \"support\": 14, \"avg_response\": 1.0}, {\"bmi\": \"32.11\", \"support\": 14, \"avg_response\": 1.0}, {\"bmi\": \"27.36\", \"support\": 14, \"avg_response\": 0.8571428571428571}, {\"bmi\": \"35.2\", \"support\": 14, \"avg_response\": 0.8571428571428571}, {\"bmi\": \"38.06\", \"support\": 14, \"avg_response\": 0.8571428571428571}, {\"bmi\": \"25.46\", \"support\": 14, \"avg_response\": 0.7142857142857143}, {\"bmi\": \"30.59\", \"support\": 14, \"avg_response\": 0.7142857142857143}, {\"bmi\": \"30.115\", \"support\": 12, \"avg_response\": 2.0}, {\"bmi\": \"19.95\", \"support\": 12, \"avg_response\": 1.8333333333333333}, {\"bmi\": \"34.2\", \"support\": 12, \"avg_response\": 1.6666666666666667}, {\"bmi\": \"29.83\", \"support\": 12, \"avg_response\": 1.5}, {\"bmi\": \"30.78\", \"support\": 12, \"avg_response\": 1.5}, {\"bmi\": \"33\", \"support\": 12, \"avg_response\": 1.5}, {\"bmi\": \"37.1\", \"support\": 12, \"avg_response\": 1.5}, {\"bmi\": \"30.2\", \"support\": 12, \"avg_response\": 1.3333333333333333}, {\"bmi\": \"29.92\", \"support\": 12, \"avg_response\": 1.1666666666666667}, {\"bmi\": \"31.73\", \"support\": 12, \"avg_response\": 1.1666666666666667}, {\"bmi\": \"27.74\", \"support\": 12, \"avg_response\": 1.0}, {\"bmi\": \"35.3\", \"support\": 12, \"avg_response\": 0.8333333333333334}, {\"bmi\": \"42.13\", \"support\": 12, \"avg_response\": 0.8333333333333334}, {\"bmi\": \"28.595\", \"support\": 12, \"avg_response\": 0.6666666666666666}, {\"bmi\": \"26.41\", \"support\": 12, \"avg_response\": 0.5}, {\"bmi\": \"26.6\", \"support\": 12, \"avg_response\": 0.5}, {\"bmi\": \"23.21\", \"support\": 12, \"avg_response\": 0.3333333333333333}, {\"bmi\": \"25.175\", \"support\": 12, \"avg_response\": 0.3333333333333333}, {\"bmi\": \"26.03\", \"support\": 12, \"avg_response\": 0.3333333333333333}, {\"bmi\": \"35.53\", \"support\": 12, \"avg_response\": 0.0}, {\"bmi\": \"33.66\", \"support\": 10, \"avg_response\": 2.2}, {\"bmi\": \"29.64\", \"support\": 10, \"avg_response\": 2.0}, {\"bmi\": \"33.155\", \"support\": 10, \"avg_response\": 1.8}, {\"bmi\": \"26.695\", \"support\": 10, \"avg_response\": 1.6}, {\"bmi\": \"26.315\", \"support\": 10, \"avg_response\": 1.4}, {\"bmi\": \"28.215\", \"support\": 10, \"avg_response\": 1.4}, {\"bmi\": \"28.5\", \"support\": 10, \"avg_response\": 1.4}, {\"bmi\": \"29.7\", \"support\": 10, \"avg_response\": 1.4}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 1.81}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cd245e384efc2a5c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cd245e384efc2a5c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bd1564514d546b5a920e9a661f63e287c0366e46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cd245e384efc2a5c/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:40.760941+00:00", + "ended_at": "2026-05-19T16:01:40.763453+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_cd245e384efc2a5c", + "problem_id": "v2p_m4_b9de23b389bc6aff", + "dataset_id": "m4", + "template_id": "tpl_cardinality_high_card_response_stability", + "template_name": "High-Cardinality Response Stability", + "family_id": "cardinality_structure", + "canonical_subitem_id": "high_cardinality_response_stability", + "intended_facet_id": "target_cardinality_cross_section", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "template_fixed", + "source_kind": "deterministic", + "realization_mode": "deterministic", + "gate_priority": "deterministic", + "extended_family": true, + "question": "Use template High-Cardinality Response Stability to probe high_cardinality_response_stability with semantic role focused_target_view. Focus on measure_col=children, key_col=bmi.", + "bindings": { + "key_col": "bmi", + "measure_col": "children", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=4", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_cd245e384efc2a5c.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cd245e384efc2a5c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cd245e384efc2a5c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cd245e384efc2a5c/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..680e0e51ce66aa3006752ba4132ed7a141fb34cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/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=smoker, measure_col=children. +Result preview: [{"smoker": "yes", "age": "43", "total_measure": 36.0, "share_within_group": 5.714285714285714}, {"smoker": "yes", "age": "30", "total_measure": 34.0, "share_within_group": 5.396825396825397}, {"smoker": "yes", "age": "47", "total_measure": 30.0, "share_within_group": 4.761904761904762}, {"smoker": "yes", "age": "52", "total_measure": 26.0, "share_within_group": 4.126984126984127}, {"smoker": "no", "age": "39", "total_measure": 98.0, "share_within_group": 4.042904290429043}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c86542fe164cfc8fa439c5de2b4a707bb5688062 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m4_cf31a2a0a6115e97 +-- problem_id: v2p_m4_657465c1662bc71b +-- realization_mode: agent +-- source_kind: agent +SELECT "smoker", "age", + SUM(CAST("children" AS REAL)) AS total_measure, + SUM(CAST("children" AS REAL)) * 100.0 / SUM(SUM(CAST("children" AS REAL))) OVER (PARTITION BY "smoker") AS share_within_group +FROM "m4" +GROUP BY "smoker", "age" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6a365b1c522f5cc0c182db11cf2d2a6cb2973875 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"smoker\", \"age\",\n SUM(CAST(\"children\" AS REAL)) AS total_measure,\n SUM(CAST(\"children\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"children\" AS REAL))) OVER (PARTITION BY \"smoker\") AS share_within_group\nFROM \"m4\"\nGROUP BY \"smoker\", \"age\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"smoker\\\", \\\"age\\\",\\n SUM(CAST(\\\"children\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"children\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"children\\\" AS REAL))) OVER (PARTITION BY \\\"smoker\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"smoker\", \"age\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"smoker\": \"yes\", \"age\": \"43\", \"total_measure\": 36.0, \"share_within_group\": 5.714285714285714}, {\"smoker\": \"yes\", \"age\": \"30\", \"total_measure\": 34.0, \"share_within_group\": 5.396825396825397}, {\"smoker\": \"yes\", \"age\": \"47\", \"total_measure\": 30.0, \"share_within_group\": 4.761904761904762}, {\"smoker\": \"yes\", \"age\": \"52\", \"total_measure\": 26.0, \"share_within_group\": 4.126984126984127}, {\"smoker\": \"no\", \"age\": \"39\", \"total_measure\": 98.0, \"share_within_group\": 4.042904290429043}, {\"smoker\": \"yes\", \"age\": \"39\", \"total_measure\": 24.0, \"share_within_group\": 3.8095238095238093}, {\"smoker\": \"no\", \"age\": \"46\", \"total_measure\": 88.0, \"share_within_group\": 3.6303630363036303}, {\"smoker\": \"yes\", \"age\": \"37\", \"total_measure\": 22.0, \"share_within_group\": 3.492063492063492}, {\"smoker\": \"no\", \"age\": \"45\", \"total_measure\": 82.0, \"share_within_group\": 3.382838283828383}, {\"smoker\": \"no\", \"age\": \"33\", \"total_measure\": 80.0, \"share_within_group\": 3.3003300330033003}, {\"smoker\": \"yes\", \"age\": \"22\", \"total_measure\": 20.0, \"share_within_group\": 3.1746031746031744}, {\"smoker\": \"yes\", \"age\": \"51\", \"total_measure\": 20.0, \"share_within_group\": 3.1746031746031744}, {\"smoker\": \"no\", \"age\": \"28\", \"total_measure\": 74.0, \"share_within_group\": 3.052805280528053}, {\"smoker\": \"no\", \"age\": \"40\", \"total_measure\": 72.0, \"share_within_group\": 2.9702970297029703}, {\"smoker\": \"no\", \"age\": \"41\", \"total_measure\": 70.0, \"share_within_group\": 2.887788778877888}, {\"smoker\": \"no\", \"age\": \"49\", \"total_measure\": 70.0, \"share_within_group\": 2.887788778877888}, {\"smoker\": \"yes\", \"age\": \"23\", \"total_measure\": 18.0, \"share_within_group\": 2.857142857142857}, {\"smoker\": \"yes\", \"age\": \"31\", \"total_measure\": 18.0, \"share_within_group\": 2.857142857142857}, {\"smoker\": \"yes\", \"age\": \"32\", \"total_measure\": 18.0, \"share_within_group\": 2.857142857142857}, {\"smoker\": \"yes\", \"age\": \"35\", \"total_measure\": 18.0, \"share_within_group\": 2.857142857142857}, {\"smoker\": \"yes\", \"age\": \"36\", \"total_measure\": 18.0, \"share_within_group\": 2.857142857142857}, {\"smoker\": \"yes\", \"age\": \"54\", \"total_measure\": 18.0, \"share_within_group\": 2.857142857142857}, {\"smoker\": \"no\", \"age\": \"38\", \"total_measure\": 68.0, \"share_within_group\": 2.8052805280528053}, {\"smoker\": \"no\", \"age\": \"50\", \"total_measure\": 68.0, \"share_within_group\": 2.8052805280528053}, {\"smoker\": \"no\", \"age\": \"54\", \"total_measure\": 68.0, \"share_within_group\": 2.8052805280528053}, {\"smoker\": \"no\", \"age\": \"35\", \"total_measure\": 66.0, \"share_within_group\": 2.722772277227723}, {\"smoker\": \"no\", \"age\": \"52\", \"total_measure\": 66.0, \"share_within_group\": 2.722772277227723}, {\"smoker\": \"no\", \"age\": \"48\", \"total_measure\": 64.0, \"share_within_group\": 2.6402640264026402}, {\"smoker\": \"yes\", \"age\": \"18\", \"total_measure\": 16.0, \"share_within_group\": 2.5396825396825395}, {\"smoker\": \"yes\", \"age\": \"42\", \"total_measure\": 16.0, \"share_within_group\": 2.5396825396825395}, {\"smoker\": \"yes\", \"age\": \"46\", \"total_measure\": 16.0, \"share_within_group\": 2.5396825396825395}, {\"smoker\": \"no\", \"age\": \"25\", \"total_measure\": 60.0, \"share_within_group\": 2.4752475247524752}, {\"smoker\": \"no\", \"age\": \"29\", \"total_measure\": 60.0, \"share_within_group\": 2.4752475247524752}, {\"smoker\": \"no\", \"age\": \"37\", \"total_measure\": 60.0, \"share_within_group\": 2.4752475247524752}, {\"smoker\": \"no\", \"age\": \"19\", \"total_measure\": 58.0, \"share_within_group\": 2.392739273927393}, {\"smoker\": \"no\", \"age\": \"26\", \"total_measure\": 58.0, \"share_within_group\": 2.392739273927393}, {\"smoker\": \"no\", \"age\": \"31\", \"total_measure\": 58.0, \"share_within_group\": 2.392739273927393}, {\"smoker\": \"no\", \"age\": \"44\", \"total_measure\": 58.0, \"share_within_group\": 2.392739273927393}, {\"smoker\": \"no\", \"age\": \"53\", \"total_measure\": 56.0, \"share_within_group\": 2.31023102310231}, {\"smoker\": \"no\", \"age\": \"32\", \"total_measure\": 54.0, \"share_within_group\": 2.227722772277228}, {\"smoker\": \"no\", \"age\": \"47\", \"total_measure\": 54.0, \"share_within_group\": 2.227722772277228}, {\"smoker\": \"yes\", \"age\": \"20\", \"total_measure\": 14.0, \"share_within_group\": 2.2222222222222223}, {\"smoker\": \"yes\", \"age\": \"25\", \"total_measure\": 14.0, \"share_within_group\": 2.2222222222222223}, {\"smoker\": \"yes\", \"age\": \"40\", \"total_measure\": 14.0, \"share_within_group\": 2.2222222222222223}, {\"smoker\": \"yes\", \"age\": \"49\", \"total_measure\": 14.0, \"share_within_group\": 2.2222222222222223}, {\"smoker\": \"yes\", \"age\": \"53\", \"total_measure\": 14.0, \"share_within_group\": 2.2222222222222223}, {\"smoker\": \"yes\", \"age\": \"64\", \"total_measure\": 14.0, \"share_within_group\": 2.2222222222222223}, {\"smoker\": \"no\", \"age\": \"18\", \"total_measure\": 52.0, \"share_within_group\": 2.145214521452145}, {\"smoker\": \"no\", \"age\": \"43\", \"total_measure\": 52.0, \"share_within_group\": 2.145214521452145}, {\"smoker\": \"no\", \"age\": \"30\", \"total_measure\": 50.0, \"share_within_group\": 2.062706270627063}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.03}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fa7a23a2d98003aa97ababe45da2678294dabc1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:32:45.248867+00:00", + "ended_at": "2026-05-19T15:33:01.180117+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_cf31a2a0a6115e97", + "problem_id": "v2p_m4_657465c1662bc71b", + "dataset_id": "m4", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=smoker, measure_col=children.", + "bindings": { + "group_col": "smoker", + "measure_col": "children", + "item_col": "age", + "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": 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=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_d/m4/sql/v2q_m4_cf31a2a0a6115e97.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_cf31a2a0a6115e97", + "api_calls": 0, + "input_tokens": 13789, + "cached_input_tokens": 12032, + "output_tokens": 402, + "total_tokens": 14191, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15918.65, + "sql_execution_elapsed_ms_total": 6.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..02c90cffeec2016fb4608ea621b8f3f72a87ed3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:33:01.170716+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15918.65, "started_at": "2026-05-19T15:32:45.250480+00:00", "ended_at": "2026-05-19T15:33:01.169172+00:00", "prompt_metrics": {"chars": 5704, "bytes_utf8": 5704, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 575, "bytes_utf8": 575, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13789, "cached_input_tokens": 12032, "output_tokens": 402, "reasoning_output_tokens": 243}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"smoker\\\", \\\"age\\\",\\n SUM(CAST(\\\"children\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"children\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"children\\\" AS REAL))) OVER (PARTITION BY \\\"smoker\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\", \\\"age\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the required Within-Group Share of Total template with group_col=\\\"smoker\\\", item_col=\\\"age\\\", and measure_col=\\\"children\\\". CAST is applied because the schema stores numeric fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f94fa986738497f1fcad19c114e3ec0fe5d04d57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_cf31a2a0a6115e97", + "api_calls": 0, + "input_tokens": 13789, + "cached_input_tokens": 12032, + "output_tokens": 402, + "total_tokens": 14191, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15918.65, + "sql_execution_elapsed_ms_total": 6.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_cf31a2a0a6115e97/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d39e1fcc88b85c80/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d39e1fcc88b85c80/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ed604ed03a5007b1c3263f7af523198ba5d4c690 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d39e1fcc88b85c80/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:54:31.619752+00:00", + "ended_at": "2026-05-19T15:54:39.137588+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_d39e1fcc88b85c80", + "problem_id": "v2p_m4_e2de7ea2f66ca765", + "dataset_id": "m4", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "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=region, condition_col=region.", + "bindings": { + "group_col": "region", + "condition_col": "region", + "condition_value": "southwest", + "positive_value": "southeast", + "negative_value": "southwest", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "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", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d39e1fcc88b85c80/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d39e1fcc88b85c80/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ea5db3c22e880a22108fe1e45d7acb1e6b306e36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d39e1fcc88b85c80/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:54:34.933278+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": 3311.77, "started_at": "2026-05-19T15:54:31.620692+00:00", "ended_at": "2026-05-19T15:54:34.932483+00:00", "prompt_metrics": {"chars": 5563, "bytes_utf8": 5563, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f2-2658-7c63-ab4f-d86b56ebf562\"}\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": "2026-05-19T15:54:39.137475+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": 3201.63, "started_at": "2026-05-19T15:54:35.934881+00:00", "ended_at": "2026-05-19T15:54:39.136561+00:00", "prompt_metrics": {"chars": 5563, "bytes_utf8": 5563, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f2-373b-7f90-a75d-205de835e817\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d432d087fbbe9702/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d432d087fbbe9702/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfc23707b69c0c6cbfbb160c0fd5499c305962ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d432d087fbbe9702/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0", "support": 1186, "support_share": 0.42784992784992787, "cumulative_support": 1186}, {"value_label": "1", "support": 672, "support_share": 0.24242424242424243, "cumulative_support": 1858}, {"value_label": "2", "support": 496, "support_share": 0.17893217893217894, "cumulative_support": 2354}, {"value_label": "3", "support": 324, "support_share": 0.11688311688311688, "cumulative_support": 2678}, {"value_label": "4", "support": 52, "support_share": 0.01875901875901876, "cumulative_support": 2730}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d432d087fbbe9702/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d432d087fbbe9702/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0cf5288f021c6a260609c5e6284903f205db0880 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d432d087fbbe9702/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: value_imbalance_profile +-- variant_semantic_role: ranked_signal_view +-- template_id: tpl_cardinality_distinct_share_profile +-- query_record_id: v2q_m4_d432d087fbbe9702 +-- problem_id: v2p_m4_67039e10ae7f8169 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "children" AS value_label, COUNT(*) AS support + FROM "m4" + GROUP BY "children" +), ranked AS ( + SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support + FROM grouped +) +SELECT * +FROM ranked +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d432d087fbbe9702/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d432d087fbbe9702/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0168d74b1d9cdcfaade14e953a1f1e67a4195f85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d432d087fbbe9702/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: m4\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: value_imbalance_profile\n-- variant_semantic_role: ranked_signal_view\n-- template_id: tpl_cardinality_distinct_share_profile\n-- query_record_id: v2q_m4_d432d087fbbe9702\n-- problem_id: v2p_m4_67039e10ae7f8169\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"children\" AS value_label, COUNT(*) AS support\n FROM \"m4\"\n GROUP BY \"children\"\n), 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_d\\n-- sql_source_dataset_id: m4\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: value_imbalance_profile\\n-- variant_semantic_role: ranked_signal_view\\n-- template_id: tpl_cardinality_distinct_share_profile\\n-- query_record_id: v2q_m4_d432d087fbbe9702\\n-- problem_id: v2p_m4_67039e10ae7f8169\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"children\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m4\\\"\\n GROUP BY \\\"children\\\"\\n), 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\": 1186, \"support_share\": 0.42784992784992787, \"cumulative_support\": 1186}, {\"value_label\": \"1\", \"support\": 672, \"support_share\": 0.24242424242424243, \"cumulative_support\": 1858}, {\"value_label\": \"2\", \"support\": 496, \"support_share\": 0.17893217893217894, \"cumulative_support\": 2354}, {\"value_label\": \"3\", \"support\": 324, \"support_share\": 0.11688311688311688, \"cumulative_support\": 2678}, {\"value_label\": \"4\", \"support\": 52, \"support_share\": 0.01875901875901876, \"cumulative_support\": 2730}, {\"value_label\": \"5\", \"support\": 42, \"support_share\": 0.015151515151515152, \"cumulative_support\": 2772}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d432d087fbbe9702/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d432d087fbbe9702/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a5b8be28b80da65d156d170defaa877bc24e049c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d432d087fbbe9702/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:40.725984+00:00", + "ended_at": "2026-05-19T16:01:40.729170+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_d432d087fbbe9702", + "problem_id": "v2p_m4_67039e10ae7f8169", + "dataset_id": "m4", + "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=children.", + "bindings": { + "group_col": "children" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), 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_d/m4/sql/v2q_m4_d432d087fbbe9702.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d432d087fbbe9702/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d432d087fbbe9702/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d432d087fbbe9702/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..be7e40873c1d7018851c881e6d312a9388bffe06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5694, "bytes_utf8": 5694, "lines": 182, "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": 541, "bytes_utf8": 541, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13788, "cached_input_tokens": 12032, "output_tokens": 516, "reasoning_output_tokens": 356}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..29d849245e29e3063e48633694e517e33f76405f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_d516e47ce92cd229", + "api_calls": 0, + "input_tokens": 13788, + "cached_input_tokens": 12032, + "output_tokens": 516, + "total_tokens": 14304, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14450.49, + "sql_execution_elapsed_ms_total": 8.48, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..69500cff6cbec78e40880a6743fd53cdff99e469 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/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": "2026-05-19T15:33:45.918938+00:00", + "ended_at": "2026-05-19T15:34:00.369459+00:00", + "elapsed_ms": 14450.49, + "prompt_metrics": { + "chars": 5694, + "bytes_utf8": 5694, + "lines": 182, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 925, + "bytes_utf8": 925, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 541, + "bytes_utf8": 541, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13788, + "cached_input_tokens": 12032, + "output_tokens": 516, + "reasoning_output_tokens": 356 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..58df6b6a71e5cf48c272203df141431e04944e02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,182 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=sex, measure_col=bmi.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "sex", + "measure_col": "bmi", + "item_col": "charges", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f12132ea41678982b997332be237cf32988b358d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-2439-7311-947c-d3d6329f5700"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"sex\\\", \\\"charges\\\",\\n SUM(CAST(\\\"bmi\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"bmi\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"bmi\\\" AS REAL))) OVER (PARTITION BY \\\"sex\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\", \\\"charges\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the required Within-Group Share of Total template with group_col=\\\"sex\\\", item_col=\\\"charges\\\", and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13788,"cached_input_tokens":12032,"output_tokens":516,"reasoning_output_tokens":356}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..923ae1957f4f5da6221a1bcd9b5787207368fa7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"sex\", \"charges\",\n SUM(CAST(\"bmi\" AS REAL)) AS total_measure,\n SUM(CAST(\"bmi\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"bmi\" AS REAL))) OVER (PARTITION BY \"sex\") AS share_within_group\nFROM \"m4\"\nGROUP BY \"sex\", \"charges\"\nORDER BY share_within_group DESC;","notes":"Applied the required Within-Group Share of Total template with group_col=\"sex\", item_col=\"charges\", and measure_col=\"bmi\". Cast \"bmi\" to REAL because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc19637a0d14f47b17d4283641b50ca6cf208eef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/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=sex, measure_col=bmi. +Result preview: [{"sex": "female", "charges": "8569.8618", "total_measure": 181.28, "share_within_group": 0.43604710598027735}, {"sex": "male", "charges": "2927.0647", "total_measure": 186.12, "share_within_group": 0.427560810601266}, {"sex": "female", "charges": "3238.4357", "total_measure": 168.52, "share_within_group": 0.40535446987972384}, {"sex": "male", "charges": "39611.7577", "total_measure": 168.52, "share_within_group": 0.38712952827490515}, {"sex": "male", "charges": "47269.854", "total_measure": 167.2, "share_within_group": 0.3840971821004281}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ec081fd074955a2a82ac74ae992b452a92ca0448 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m4_d516e47ce92cd229 +-- problem_id: v2p_m4_5070df6df8ccddd4 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "charges", + SUM(CAST("bmi" AS REAL)) AS total_measure, + SUM(CAST("bmi" AS REAL)) * 100.0 / SUM(SUM(CAST("bmi" AS REAL))) OVER (PARTITION BY "sex") AS share_within_group +FROM "m4" +GROUP BY "sex", "charges" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7e2443a194de6a8a1f1687f81c1b6c517cbc1af6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"sex\", \"charges\",\n SUM(CAST(\"bmi\" AS REAL)) AS total_measure,\n SUM(CAST(\"bmi\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"bmi\" AS REAL))) OVER (PARTITION BY \"sex\") AS share_within_group\nFROM \"m4\"\nGROUP BY \"sex\", \"charges\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"sex\\\", \\\"charges\\\",\\n SUM(CAST(\\\"bmi\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"bmi\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"bmi\\\" AS REAL))) OVER (PARTITION BY \\\"sex\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\", \\\"charges\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"sex\", \"charges\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"sex\": \"female\", \"charges\": \"8569.8618\", \"total_measure\": 181.28, \"share_within_group\": 0.43604710598027735}, {\"sex\": \"male\", \"charges\": \"2927.0647\", \"total_measure\": 186.12, \"share_within_group\": 0.427560810601266}, {\"sex\": \"female\", \"charges\": \"3238.4357\", \"total_measure\": 168.52, \"share_within_group\": 0.40535446987972384}, {\"sex\": \"male\", \"charges\": \"39611.7577\", \"total_measure\": 168.52, \"share_within_group\": 0.38712952827490515}, {\"sex\": \"male\", \"charges\": \"47269.854\", \"total_measure\": 167.2, \"share_within_group\": 0.3840971821004281}, {\"sex\": \"female\", \"charges\": \"11090.7178\", \"total_measure\": 159.28, \"share_within_group\": 0.38312876787587474}, {\"sex\": \"female\", \"charges\": \"1633.9618\", \"total_measure\": 159.28, \"share_within_group\": 0.38312876787587474}, {\"sex\": \"female\", \"charges\": \"13470.8044\", \"total_measure\": 156.64, \"share_within_group\": 0.3767785673033464}, {\"sex\": \"male\", \"charges\": \"10602.385\", \"total_measure\": 161.2, \"share_within_group\": 0.37031379039825957}, {\"sex\": \"female\", \"charges\": \"12495.29085\", \"total_measure\": 143.26, \"share_within_group\": 0.34459459621985067}, {\"sex\": \"male\", \"charges\": \"4673.3922\", \"total_measure\": 148.72, \"share_within_group\": 0.3416443356577492}, {\"sex\": \"male\", \"charges\": \"8798.593\", \"total_measure\": 148.0, \"share_within_group\": 0.339990328653489}, {\"sex\": \"female\", \"charges\": \"7348.142\", \"total_measure\": 141.2, \"share_within_group\": 0.33963951547007476}, {\"sex\": \"male\", \"charges\": \"49577.6624\", \"total_measure\": 147.84, \"share_within_group\": 0.33962277154143117}, {\"sex\": \"female\", \"charges\": \"2020.177\", \"total_measure\": 138.4, \"share_within_group\": 0.3329044542567872}, {\"sex\": \"male\", \"charges\": \"42211.1382\", \"total_measure\": 144.32, \"share_within_group\": 0.33153651507615894}, {\"sex\": \"female\", \"charges\": \"3987.926\", \"total_measure\": 136.8, \"share_within_group\": 0.32905584784919434}, {\"sex\": \"male\", \"charges\": \"36837.467\", \"total_measure\": 141.2, \"share_within_group\": 0.32436915139103134}, {\"sex\": \"female\", \"charges\": \"3171.6149\", \"total_measure\": 132.44, \"share_within_group\": 0.3185683953885036}, {\"sex\": \"male\", \"charges\": \"1826.843\", \"total_measure\": 137.6, \"share_within_group\": 0.31609911636973026}, {\"sex\": \"female\", \"charges\": \"26018.95052\", \"total_measure\": 130.72, \"share_within_group\": 0.31443114350034124}, {\"sex\": \"male\", \"charges\": \"6289.7549\", \"total_measure\": 136.84, \"share_within_group\": 0.3143532200874556}, {\"sex\": \"female\", \"charges\": \"6238.298\", \"total_measure\": 130.0, \"share_within_group\": 0.31269927061692443}, {\"sex\": \"male\", \"charges\": \"37607.5277\", \"total_measure\": 134.52, \"share_within_group\": 0.30902364196261717}, {\"sex\": \"male\", \"charges\": \"1135.9407\", \"total_measure\": 133.32, \"share_within_group\": 0.3062669636221834}, {\"sex\": \"female\", \"charges\": \"35595.5898\", \"total_measure\": 124.08, \"share_within_group\": 0.2984594269088306}, {\"sex\": \"female\", \"charges\": \"10797.3362\", \"total_measure\": 123.12, \"share_within_group\": 0.2961502630642749}, {\"sex\": \"male\", \"charges\": \"9850.432\", \"total_measure\": 126.4, \"share_within_group\": 0.29037011852568245}, {\"sex\": \"male\", \"charges\": \"1639.5631\", \"total_measure\": 122.36, \"share_within_group\": 0.28108930144622235}, {\"sex\": \"male\", \"charges\": \"32108.66282\", \"total_measure\": 118.94, \"share_within_group\": 0.27323276817598635}, {\"sex\": \"female\", \"charges\": \"12224.35085\", \"total_measure\": 112.86, \"share_within_group\": 0.2714710744755853}, {\"sex\": \"male\", \"charges\": \"9487.6442\", \"total_measure\": 117.92, \"share_within_group\": 0.2708895915866177}, {\"sex\": \"male\", \"charges\": \"6059.173\", \"total_measure\": 117.6, \"share_within_group\": 0.27015447736250203}, {\"sex\": \"female\", \"charges\": \"12233.828\", \"total_measure\": 110.0, \"share_within_group\": 0.264591690522013}, {\"sex\": \"female\", \"charges\": \"9101.798\", \"total_measure\": 102.8, \"share_within_group\": 0.24727296168784485}, {\"sex\": \"male\", \"charges\": \"1163.4627\", \"total_measure\": 106.26, \"share_within_group\": 0.24410386704540363}, {\"sex\": \"male\", \"charges\": \"44501.3982\", \"total_measure\": 105.16, \"share_within_group\": 0.24157691190000607}, {\"sex\": \"male\", \"charges\": \"2304.0022\", \"total_measure\": 104.72, \"share_within_group\": 0.24056612984184705}, {\"sex\": \"male\", \"charges\": \"16450.8947\", \"total_measure\": 104.12, \"share_within_group\": 0.2391877906716302}, {\"sex\": \"male\", \"charges\": \"10096.97\", \"total_measure\": 103.2, \"share_within_group\": 0.2370743372772977}, {\"sex\": \"female\", \"charges\": \"8965.79575\", \"total_measure\": 96.9, \"share_within_group\": 0.23308122555984595}, {\"sex\": \"male\", \"charges\": \"2438.0552\", \"total_measure\": 100.76, \"share_within_group\": 0.23146909131841586}, {\"sex\": \"female\", \"charges\": \"9432.9253\", \"total_measure\": 96.14, \"share_within_group\": 0.23125313751623933}, {\"sex\": \"female\", \"charges\": \"46113.511\", \"total_measure\": 95.2, \"share_within_group\": 0.2289920812517785}, {\"sex\": \"female\", \"charges\": \"63770.42801\", \"total_measure\": 94.82, \"share_within_group\": 0.22807803722997516}, {\"sex\": \"male\", \"charges\": \"1837.237\", \"total_measure\": 98.4, \"share_within_group\": 0.22604762391556293}, {\"sex\": \"male\", \"charges\": \"11381.3254\", \"total_measure\": 98.12, \"share_within_group\": 0.22540439896946174}, {\"sex\": \"female\", \"charges\": \"2913.569\", \"total_measure\": 93.6, \"share_within_group\": 0.22514347484418556}, {\"sex\": \"female\", \"charges\": \"12592.5345\", \"total_measure\": 93.5, \"share_within_group\": 0.22490293694371102}, {\"sex\": \"female\", \"charges\": \"11538.421\", \"total_measure\": 93.4, \"share_within_group\": 0.22466239904323645}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 8.48}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ca3d46913c4117f988b7d3dfb8426516b578e0a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:33:45.917743+00:00", + "ended_at": "2026-05-19T15:34:00.380592+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_d516e47ce92cd229", + "problem_id": "v2p_m4_5070df6df8ccddd4", + "dataset_id": "m4", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=sex, measure_col=bmi.", + "bindings": { + "group_col": "sex", + "measure_col": "bmi", + "item_col": "charges", + "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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "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_d/m4/sql/v2q_m4_d516e47ce92cd229.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_d516e47ce92cd229", + "api_calls": 0, + "input_tokens": 13788, + "cached_input_tokens": 12032, + "output_tokens": 516, + "total_tokens": 14304, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14450.49, + "sql_execution_elapsed_ms_total": 8.48, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cfbcbf8fbf7f6b8f91861f93c7037f3223e378ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:00.370420+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14450.49, "started_at": "2026-05-19T15:33:45.918938+00:00", "ended_at": "2026-05-19T15:34:00.369459+00:00", "prompt_metrics": {"chars": 5694, "bytes_utf8": 5694, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 541, "bytes_utf8": 541, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13788, "cached_input_tokens": 12032, "output_tokens": 516, "reasoning_output_tokens": 356}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"sex\\\", \\\"charges\\\",\\n SUM(CAST(\\\"bmi\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"bmi\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"bmi\\\" AS REAL))) OVER (PARTITION BY \\\"sex\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\", \\\"charges\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the required Within-Group Share of Total template with group_col=\\\"sex\\\", item_col=\\\"charges\\\", and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" to REAL because the schema stores it as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ee3d638514cd179cc8942ab0a855cf6a89224ab3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_d516e47ce92cd229", + "api_calls": 0, + "input_tokens": 13788, + "cached_input_tokens": 12032, + "output_tokens": 516, + "total_tokens": 14304, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14450.49, + "sql_execution_elapsed_ms_total": 8.48, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d516e47ce92cd229/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3660158b6ae2e65e942b0da58aa70799b81900f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=region, measure_col=bmi. +Result preview: [{"region": "southwest", "charges": "10602.385", "total_measure": 161.2, "share_within_group": 0.7705618600560235}, {"region": "northwest", "charges": "12495.29085", "total_measure": 143.26, "share_within_group": 0.7402171565451298}, {"region": "southeast", "charges": "2927.0647", "total_measure": 186.12, "share_within_group": 0.7257628659912325}, {"region": "southwest", "charges": "8798.593", "total_measure": 148.0, "share_within_group": 0.7074637424831978}, {"region": "southeast", "charges": "8569.8618", "total_measure": 181.28, "share_within_group": 0.706889599972548}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..057ca5c98930d0513b1957db289dc1f28f867de6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/generated_sql.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m4_d57719a7d9c408e4 +-- problem_id: v2p_m4_34ab529ecd78d2c3 +-- realization_mode: agent +-- source_kind: agent +SELECT "region", "charges", + SUM(CAST("bmi" AS REAL)) AS total_measure, + SUM(CAST("bmi" AS REAL)) * 100.0 / SUM(SUM(CAST("bmi" AS REAL))) OVER (PARTITION BY "region") AS share_within_group +FROM "m4" +WHERE "bmi" IS NOT NULL AND TRIM("bmi") <> '' +GROUP BY "region", "charges" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..382d18c3abd38f380227b51cb0d6b5e8d36a6668 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"region\", \"charges\",\n SUM(CAST(\"bmi\" AS REAL)) AS total_measure,\n SUM(CAST(\"bmi\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"bmi\" AS REAL))) OVER (PARTITION BY \"region\") AS share_within_group\nFROM \"m4\"\nWHERE \"bmi\" IS NOT NULL AND TRIM(\"bmi\") <> ''\nGROUP BY \"region\", \"charges\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"region\\\", \\\"charges\\\",\\n SUM(CAST(\\\"bmi\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"bmi\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"bmi\\\" AS REAL))) OVER (PARTITION BY \\\"region\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nWHERE \\\"bmi\\\" IS NOT NULL AND TRIM(\\\"bmi\\\") <> ''\\nGROUP BY \\\"region\\\", \\\"charges\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"region\", \"charges\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"region\": \"southwest\", \"charges\": \"10602.385\", \"total_measure\": 161.2, \"share_within_group\": 0.7705618600560235}, {\"region\": \"northwest\", \"charges\": \"12495.29085\", \"total_measure\": 143.26, \"share_within_group\": 0.7402171565451298}, {\"region\": \"southeast\", \"charges\": \"2927.0647\", \"total_measure\": 186.12, \"share_within_group\": 0.7257628659912325}, {\"region\": \"southwest\", \"charges\": \"8798.593\", \"total_measure\": 148.0, \"share_within_group\": 0.7074637424831978}, {\"region\": \"southeast\", \"charges\": \"8569.8618\", \"total_measure\": 181.28, \"share_within_group\": 0.706889599972548}, {\"region\": \"northeast\", \"charges\": \"37607.5277\", \"total_measure\": 134.52, \"share_within_group\": 0.7011428231892096}, {\"region\": \"northwest\", \"charges\": \"26018.95052\", \"total_measure\": 130.72, \"share_within_group\": 0.6754236123382616}, {\"region\": \"southwest\", \"charges\": \"36837.467\", \"total_measure\": 141.2, \"share_within_group\": 0.674958651612348}, {\"region\": \"southwest\", \"charges\": \"7348.142\", \"total_measure\": 141.2, \"share_within_group\": 0.674958651612348}, {\"region\": \"southwest\", \"charges\": \"2020.177\", \"total_measure\": 138.4, \"share_within_group\": 0.6615742024302336}, {\"region\": \"southwest\", \"charges\": \"1826.843\", \"total_measure\": 137.6, \"share_within_group\": 0.6577500740924865}, {\"region\": \"southeast\", \"charges\": \"3238.4357\", \"total_measure\": 168.52, \"share_within_group\": 0.6571328077414705}, {\"region\": \"southeast\", \"charges\": \"39611.7577\", \"total_measure\": 168.52, \"share_within_group\": 0.6571328077414705}, {\"region\": \"southwest\", \"charges\": \"3987.926\", \"total_measure\": 136.8, \"share_within_group\": 0.6539259457547396}, {\"region\": \"southeast\", \"charges\": \"47269.854\", \"total_measure\": 167.2, \"share_within_group\": 0.6519855533727383}, {\"region\": \"northeast\", \"charges\": \"10797.3362\", \"total_measure\": 123.12, \"share_within_group\": 0.6417239398680901}, {\"region\": \"northwest\", \"charges\": \"1639.5631\", \"total_measure\": 122.36, \"share_within_group\": 0.6322279162003496}, {\"region\": \"southwest\", \"charges\": \"6238.298\", \"total_measure\": 130.0, \"share_within_group\": 0.6214208548838899}, {\"region\": \"southeast\", \"charges\": \"11090.7178\", \"total_measure\": 159.28, \"share_within_group\": 0.6211020271603455}, {\"region\": \"southeast\", \"charges\": \"1633.9618\", \"total_measure\": 159.28, \"share_within_group\": 0.6211020271603455}, {\"region\": \"northeast\", \"charges\": \"32108.66282\", \"total_measure\": 118.94, \"share_within_group\": 0.6199370159836797}, {\"region\": \"southeast\", \"charges\": \"13470.8044\", \"total_measure\": 156.64, \"share_within_group\": 0.6108075184228812}, {\"region\": \"southwest\", \"charges\": \"9850.432\", \"total_measure\": 126.4, \"share_within_group\": 0.6042122773640284}, {\"region\": \"northwest\", \"charges\": \"12224.35085\", \"total_measure\": 112.86, \"share_within_group\": 0.583141897861813}, {\"region\": \"southeast\", \"charges\": \"4673.3922\", \"total_measure\": 148.72, \"share_within_group\": 0.5799239922104884}, {\"region\": \"southeast\", \"charges\": \"49577.6624\", \"total_measure\": 147.84, \"share_within_group\": 0.5764924892980002}, {\"region\": \"southeast\", \"charges\": \"42211.1382\", \"total_measure\": 144.32, \"share_within_group\": 0.5627664776480479}, {\"region\": \"southwest\", \"charges\": \"6059.173\", \"total_measure\": 117.6, \"share_within_group\": 0.5621468656488112}, {\"region\": \"northwest\", \"charges\": \"16450.8947\", \"total_measure\": 104.12, \"share_within_group\": 0.5379827609903596}, {\"region\": \"southeast\", \"charges\": \"6289.7549\", \"total_measure\": 136.84, \"share_within_group\": 0.533598702891899}, {\"region\": \"southwest\", \"charges\": \"12233.828\", \"total_measure\": 110.0, \"share_within_group\": 0.5258176464402146}, {\"region\": \"southeast\", \"charges\": \"1135.9407\", \"total_measure\": 133.32, \"share_within_group\": 0.5198726912419467}, {\"region\": \"southeast\", \"charges\": \"3171.6149\", \"total_measure\": 132.44, \"share_within_group\": 0.5164411883294585}, {\"region\": \"northeast\", \"charges\": \"9432.9253\", \"total_measure\": 96.14, \"share_within_group\": 0.5010992493414407}, {\"region\": \"northwest\", \"charges\": \"8965.79575\", \"total_measure\": 96.9, \"share_within_group\": 0.5006773870530719}, {\"region\": \"northeast\", \"charges\": \"2395.17155\", \"total_measure\": 95.38, \"share_within_group\": 0.4971379904533661}, {\"region\": \"southwest\", \"charges\": \"10096.97\", \"total_measure\": 103.2, \"share_within_group\": 0.49331255556936493}, {\"region\": \"southwest\", \"charges\": \"9101.798\", \"total_measure\": 102.8, \"share_within_group\": 0.4914004914004914}, {\"region\": \"southeast\", \"charges\": \"35595.5898\", \"total_measure\": 124.08, \"share_within_group\": 0.48384191066082166}, {\"region\": \"northeast\", \"charges\": \"6985.50695\", \"total_measure\": 90.82, \"share_within_group\": 0.47337043712491833}, {\"region\": \"southwest\", \"charges\": \"1837.237\", \"total_measure\": 98.4, \"share_within_group\": 0.47036778554288283}, {\"region\": \"northeast\", \"charges\": \"9541.69555\", \"total_measure\": 89.49, \"share_within_group\": 0.4664382340707877}, {\"region\": \"southwest\", \"charges\": \"5615.369\", \"total_measure\": 97.2, \"share_within_group\": 0.46463159303626234}, {\"region\": \"southeast\", \"charges\": \"9487.6442\", \"total_measure\": 117.92, \"share_within_group\": 0.45982139027340496}, {\"region\": \"southwest\", \"charges\": \"46113.511\", \"total_measure\": 95.2, \"share_within_group\": 0.45507127219189475}, {\"region\": \"southwest\", \"charges\": \"2913.569\", \"total_measure\": 93.6, \"share_within_group\": 0.44742301551640073}, {\"region\": \"southwest\", \"charges\": \"11538.421\", \"total_measure\": 93.4, \"share_within_group\": 0.446466983431964}, {\"region\": \"northeast\", \"charges\": \"40904.1995\", \"total_measure\": 85.5, \"share_within_group\": 0.4456416249083959}, {\"region\": \"northeast\", \"charges\": \"5757.41345\", \"total_measure\": 85.31, \"share_within_group\": 0.4446513101863772}, {\"region\": \"northwest\", \"charges\": \"6360.9936\", \"total_measure\": 85.88, \"share_within_group\": 0.4437376057803695}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 7.56}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..df811ab18ccc5dc702323960cdb0585f796a8304 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:35:42.360257+00:00", + "ended_at": "2026-05-19T15:36:00.683772+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_d57719a7d9c408e4", + "problem_id": "v2p_m4_34ab529ecd78d2c3", + "dataset_id": "m4", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=region, measure_col=bmi.", + "bindings": { + "group_col": "region", + "measure_col": "bmi", + "item_col": "charges", + "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": 33.11, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=31" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d57719a7d9c408e4.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_d57719a7d9c408e4", + "api_calls": 0, + "input_tokens": 13788, + "cached_input_tokens": 12672, + "output_tokens": 509, + "total_tokens": 14297, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18312.41, + "sql_execution_elapsed_ms_total": 7.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9256ef129f907ff4d11d8c5feb0820166d40633e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:00.674419+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 18312.41, "started_at": "2026-05-19T15:35:42.361063+00:00", "ended_at": "2026-05-19T15:36:00.673499+00:00", "prompt_metrics": {"chars": 5702, "bytes_utf8": 5702, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 616, "bytes_utf8": 616, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13788, "cached_input_tokens": 12672, "output_tokens": 509, "reasoning_output_tokens": 329}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"region\\\", \\\"charges\\\",\\n SUM(CAST(\\\"bmi\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"bmi\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"bmi\\\" AS REAL))) OVER (PARTITION BY \\\"region\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nWHERE \\\"bmi\\\" IS NOT NULL AND TRIM(\\\"bmi\\\") <> ''\\nGROUP BY \\\"region\\\", \\\"charges\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"region\\\", item_col=\\\"charges\\\", and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" to REAL because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9804367722ca52f6905a349c4168199a9f8b775a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_d57719a7d9c408e4", + "api_calls": 0, + "input_tokens": 13788, + "cached_input_tokens": 12672, + "output_tokens": 509, + "total_tokens": 14297, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18312.41, + "sql_execution_elapsed_ms_total": 7.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d57719a7d9c408e4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f538b7d5925fee3eccb377d4855b1f986c8604b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5289, "bytes_utf8": 5289, "lines": 178, "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": 361, "bytes_utf8": 361, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13684, "cached_input_tokens": 12672, "output_tokens": 461, "reasoning_output_tokens": 359}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1c01e43062d02a95997dd3b5fc445a8e8c05dda3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_d66b6125206dd901", + "api_calls": 0, + "input_tokens": 13684, + "cached_input_tokens": 12672, + "output_tokens": 461, + "total_tokens": 14145, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10393.32, + "sql_execution_elapsed_ms_total": 1.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a295fc306ac7d37039fd5bcdd686f8b4e04658b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/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": "2026-05-19T15:58:46.784748+00:00", + "ended_at": "2026-05-19T15:58:57.178100+00:00", + "elapsed_ms": 10393.32, + "prompt_metrics": { + "chars": 5289, + "bytes_utf8": 5289, + "lines": 178, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 726, + "bytes_utf8": 726, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 361, + "bytes_utf8": 361, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13684, + "cached_input_tokens": 12672, + "output_tokens": 461, + "reasoning_output_tokens": 359 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..65afbb9bdd91bff412abbac518d162f51d2bdbe4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=smoker.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "smoker", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..097a844a20e642b41297f9646d2e458da68bcaa6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-0b01-7f21-afa5-480d672a23e9"} +{"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 \\\"smoker\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY \\\"support\\\" ASC, \\\"smoker\\\"\\nLIMIT 11;\",\"notes\":\"Uses the Low-Support Group Count template with \\\"smoker\\\" as the grouped column on table \\\"m4\\\", returning the smallest-support smoker categories first.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13684,"cached_input_tokens":12672,"output_tokens":461,"reasoning_output_tokens":359}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f3d0171d2b9d54cbd91d9293e4f990e0000f919b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"smoker\",\n COUNT(*) AS \"support\"\nFROM \"m4\"\nGROUP BY \"smoker\"\nORDER BY \"support\" ASC, \"smoker\"\nLIMIT 11;","notes":"Uses the Low-Support Group Count template with \"smoker\" as the grouped column on table \"m4\", returning the smallest-support smoker categories first."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d66b6125206dd901/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..02378735253b9c6a6cdfa0f795431a37c726eeee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5858, "bytes_utf8": 5858, "lines": 180, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 575, "bytes_utf8": 575, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13807, "cached_input_tokens": 12672, "output_tokens": 516, "reasoning_output_tokens": 364}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..be6a281bb0afb6fa8951e66743e0e676f17d9e96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_d6820b216f8ce106", + "api_calls": 0, + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 516, + "total_tokens": 14323, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13256.39, + "sql_execution_elapsed_ms_total": 3.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7ef84c8673e077e5277754b13352592974ba23d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:39.760139+00:00", + "ended_at": "2026-05-19T15:43:53.016563+00:00", + "elapsed_ms": 13256.39, + "prompt_metrics": { + "chars": 5858, + "bytes_utf8": 5858, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 942, + "bytes_utf8": 942, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 575, + "bytes_utf8": 575, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 516, + "reasoning_output_tokens": 364 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..55371437b0324475efc979f5d2c51d09d0b276d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=children, measure_col=children.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "children", + "measure_col": "children", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ec4931f17b5368bcd6c7c0c671940fb45d2d89b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-33ee-72a0-842f-bfc380e85918"} +{"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 \\\"children\\\", SUM(CAST(\\\"children\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"children\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"children\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"children\\\" and measure_col=\\\"children\\\", casting the text-typed measure to REAL for SQLite aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13807,"cached_input_tokens":12672,"output_tokens":516,"reasoning_output_tokens":364}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..53f697ca31307fe14287b4aba8a9912e395a615d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"children\", SUM(CAST(\"children\" AS REAL)) AS group_value\n FROM \"m4\"\n GROUP BY \"children\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"children\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Uses the planned template with group_col=\"children\" and measure_col=\"children\", casting the text-typed measure to REAL for SQLite aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..969cb005553c069db2d29c58ada331c4a3ab8c36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/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=children, measure_col=children. +Result preview: [{"children": "2", "group_value": 992.0}, {"children": "3", "group_value": 972.0}, {"children": "1", "group_value": 672.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..ca659e5f22a4bbca444d684e4d66f8d942fc179f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_mass_similarity +-- intended_facet_id: tail_ranked_signal +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_tpch_relative_total_threshold +-- query_record_id: v2q_m4_d6820b216f8ce106 +-- problem_id: v2p_m4_e84392485cfd9613 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "children", SUM(CAST("children" AS REAL)) AS group_value + FROM "m4" + GROUP BY "children" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."children", g.group_value +FROM grouped AS g +CROSS JOIN total AS t +WHERE g.group_value > t.total_value * 0.1 +ORDER BY g.group_value DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f56027958c9dee2275fdb8f03c89c4f04a21a88a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"children\", SUM(CAST(\"children\" AS REAL)) AS group_value\n FROM \"m4\"\n GROUP BY \"children\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"children\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"children\\\", SUM(CAST(\\\"children\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"children\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"children\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\", \"columns\": [\"children\", \"group_value\"], \"rows\": [{\"children\": \"2\", \"group_value\": 992.0}, {\"children\": \"3\", \"group_value\": 972.0}, {\"children\": \"1\", \"group_value\": 672.0}], \"row_count_returned\": 3, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 3.04}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9a6ed70aa74eec43f03abcc9f5a73717aeb734d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:43:39.759186+00:00", + "ended_at": "2026-05-19T15:43:53.023828+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_d6820b216f8ce106", + "problem_id": "v2p_m4_e84392485cfd9613", + "dataset_id": "m4", + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_mass_similarity", + "intended_facet_id": "tail_ranked_signal", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=children, measure_col=children.", + "bindings": { + "group_col": "children", + "measure_col": "children", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=77" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_d6820b216f8ce106.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_d6820b216f8ce106", + "api_calls": 0, + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 516, + "total_tokens": 14323, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13256.39, + "sql_execution_elapsed_ms_total": 3.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..99c73bb2a51be375eceea1ceec25209e8044efbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:53.018075+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13256.39, "started_at": "2026-05-19T15:43:39.760139+00:00", "ended_at": "2026-05-19T15:43:53.016563+00:00", "prompt_metrics": {"chars": 5858, "bytes_utf8": 5858, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 575, "bytes_utf8": 575, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13807, "cached_input_tokens": 12672, "output_tokens": 516, "reasoning_output_tokens": 364}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"children\\\", SUM(CAST(\\\"children\\\" AS REAL)) AS group_value\\n FROM \\\"m4\\\"\\n GROUP BY \\\"children\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"children\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"children\\\" and measure_col=\\\"children\\\", casting the text-typed measure to REAL for SQLite aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a970a574eaea8f9690f7177ba99d5218b8b2ab48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_d6820b216f8ce106", + "api_calls": 0, + "input_tokens": 13807, + "cached_input_tokens": 12672, + "output_tokens": 516, + "total_tokens": 14323, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13256.39, + "sql_execution_elapsed_ms_total": 3.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_d6820b216f8ce106/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a5cd0a74dcb3b4fc74586d77035127c6cc6681e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=sex, measure_col=age. +Result preview: [{"sex": "female", "avg_measure": 39.48169838945827}, {"sex": "male", "avg_measure": 38.74822190611664}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..85fbc72e9ab2a80d85018ab1f8c0724d5114c126 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: slice_level_consistency +-- intended_facet_id: conditional_interaction_hotspots +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_m4_da65e0bc535816b9 +-- problem_id: v2p_m4_8b6a4bcdc1ae9bc4 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "sex", + AVG(CAST("age" AS REAL)) OVER (PARTITION BY "sex") AS avg_measure +FROM "m4" +WHERE "sex" IS NOT NULL + AND TRIM("sex") <> '' + AND "age" IS NOT NULL + AND TRIM("age") <> '' +ORDER BY avg_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2960d9dc6ead85b787422c65110fdfedb0ab0a51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n \"sex\",\n AVG(CAST(\"age\" AS REAL)) OVER (PARTITION BY \"sex\") AS avg_measure\nFROM \"m4\"\nWHERE \"sex\" IS NOT NULL\n AND TRIM(\"sex\") <> ''\n AND \"age\" IS NOT NULL\n AND TRIM(\"age\") <> ''\nORDER BY avg_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"sex\\\",\\n AVG(CAST(\\\"age\\\" AS REAL)) OVER (PARTITION BY \\\"sex\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nWHERE \\\"sex\\\" IS NOT NULL\\n AND TRIM(\\\"sex\\\") <> ''\\n AND \\\"age\\\" IS NOT NULL\\n AND TRIM(\\\"age\\\") <> ''\\nORDER BY avg_measure DESC;\", \"columns\": [\"sex\", \"avg_measure\"], \"rows\": [{\"sex\": \"female\", \"avg_measure\": 39.48169838945827}, {\"sex\": \"male\", \"avg_measure\": 38.74822190611664}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 12.91}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cb1664894c80cc5c278d73b8d2d3546930e58564 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:59:06.127225+00:00", + "ended_at": "2026-05-19T15:59:17.031331+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_da65e0bc535816b9", + "problem_id": "v2p_m4_8b6a4bcdc1ae9bc4", + "dataset_id": "m4", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "slice_level_consistency", + "intended_facet_id": "conditional_interaction_hotspots", + "variant_semantic_role": "filtered_stable_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=sex, measure_col=age.", + "bindings": { + "group_col": "sex", + "measure_col": "age", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_da65e0bc535816b9.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_da65e0bc535816b9", + "api_calls": 0, + "input_tokens": 13681, + "cached_input_tokens": 12672, + "output_tokens": 532, + "total_tokens": 14213, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10885.7, + "sql_execution_elapsed_ms_total": 12.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..74ab15cbb2ae2cfa06ba85634ca41ac13d1b830f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:17.015233+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10885.7, "started_at": "2026-05-19T15:59:06.127939+00:00", "ended_at": "2026-05-19T15:59:17.013670+00:00", "prompt_metrics": {"chars": 5370, "bytes_utf8": 5370, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 529, "bytes_utf8": 529, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13681, "cached_input_tokens": 12672, "output_tokens": 532, "reasoning_output_tokens": 381}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"sex\\\",\\n AVG(CAST(\\\"age\\\" AS REAL)) OVER (PARTITION BY \\\"sex\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nWHERE \\\"sex\\\" IS NOT NULL\\n AND TRIM(\\\"sex\\\") <> ''\\n AND \\\"age\\\" IS NOT NULL\\n AND TRIM(\\\"age\\\") <> ''\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"sex\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" to REAL because the schema stores it as TEXT, and filtered out null/blank values for a stable grouped view.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7542d98bebea79fc84ae8857634c56aef8284dfa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_da65e0bc535816b9", + "api_calls": 0, + "input_tokens": 13681, + "cached_input_tokens": 12672, + "output_tokens": 532, + "total_tokens": 14213, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10885.7, + "sql_execution_elapsed_ms_total": 12.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_da65e0bc535816b9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_db8173444d153955/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_db8173444d153955/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..af9312349438b44070d1e6f720dce102e7355147 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_db8173444d153955/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "no", "support": 2208, "support_share": 0.7965367965367965, "support_rank": 1}, {"value_label": "yes", "support": 564, "support_share": 0.20346320346320346, "support_rank": 2}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_db8173444d153955/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_db8173444d153955/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8a972b69eb41d16973fcc26a76b198ac9ddd0662 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_db8173444d153955/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: cardinality_structure +-- canonical_subitem_id: support_rank_profile_consistency +-- intended_facet_id: support_concentration +-- variant_semantic_role: count_distribution +-- template_id: tpl_cardinality_support_rank_profile +-- query_record_id: v2q_m4_db8173444d153955 +-- problem_id: v2p_m4_c00679228f01a188 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "smoker" AS value_label, COUNT(*) AS support + FROM "m4" + GROUP BY "smoker" +) +SELECT + value_label, + support, + CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share, + ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank +FROM grouped +ORDER BY support DESC, value_label; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_db8173444d153955/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_db8173444d153955/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..50fb8d849ec0468592533002fd1f66a35d60d339 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_db8173444d153955/query_results.jsonl @@ -0,0 +1 @@ +{"node_name": "v2_template", "tool_name": "sqlite_query", "query": "-- sql_source_version: v2\n-- sql_source_label: v2_current\n-- sql_source_run_id: v2_cli_20260502_081223_d\n-- sql_source_dataset_id: m4\n-- family_id: cardinality_structure\n-- canonical_subitem_id: support_rank_profile_consistency\n-- intended_facet_id: support_concentration\n-- variant_semantic_role: count_distribution\n-- template_id: tpl_cardinality_support_rank_profile\n-- query_record_id: v2q_m4_db8173444d153955\n-- problem_id: v2p_m4_c00679228f01a188\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"smoker\" AS value_label, COUNT(*) AS support\n FROM \"m4\"\n GROUP BY \"smoker\"\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", "result": "{\"query\": \"-- sql_source_version: v2\\n-- sql_source_label: v2_current\\n-- sql_source_run_id: v2_cli_20260502_081223_d\\n-- sql_source_dataset_id: m4\\n-- family_id: cardinality_structure\\n-- canonical_subitem_id: support_rank_profile_consistency\\n-- intended_facet_id: support_concentration\\n-- variant_semantic_role: count_distribution\\n-- template_id: tpl_cardinality_support_rank_profile\\n-- query_record_id: v2q_m4_db8173444d153955\\n-- problem_id: v2p_m4_c00679228f01a188\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"smoker\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"m4\\\"\\n GROUP BY \\\"smoker\\\"\\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\": \"no\", \"support\": 2208, \"support_share\": 0.7965367965367965, \"support_rank\": 1}, {\"value_label\": \"yes\", \"support\": 564, \"support_share\": 0.20346320346320346, \"support_rank\": 2}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.45}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_db8173444d153955/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_db8173444d153955/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a7495c644d7447cd8483ea7d21d0fbd9a0f03e02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_db8173444d153955/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T16:01:40.745290+00:00", + "ended_at": "2026-05-19T16:01:40.747692+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_db8173444d153955", + "problem_id": "v2p_m4_c00679228f01a188", + "dataset_id": "m4", + "template_id": "tpl_cardinality_support_rank_profile", + "template_name": "Cardinality Support Rank Profile", + "family_id": "cardinality_structure", + "canonical_subitem_id": "support_rank_profile_consistency", + "intended_facet_id": "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=smoker.", + "bindings": { + "group_col": "smoker" + }, + "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_d/m4/sql/v2q_m4_db8173444d153955.sql", + "usage_summary": { + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_db8173444d153955/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_db8173444d153955/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_db8173444d153955/usage_summary.json @@ -0,0 +1,9 @@ +{ + "engine": "template", + "input_tokens": 0, + "cached_input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "none" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..eb213b91750bd65743ef0c4510e8eefe02f372c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5537, "bytes_utf8": 5537, "lines": 183, "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": 5537, "bytes_utf8": 5537, "lines": 183, "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": 380, "bytes_utf8": 380, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13732, "cached_input_tokens": 12672, "output_tokens": 253, "reasoning_output_tokens": 145}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1d3dcc20417cf94838c3d33173d585eb0f997d3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_dc188a711717c2ac", + "api_calls": 0, + "input_tokens": 13732, + "cached_input_tokens": 12672, + "output_tokens": 253, + "total_tokens": 13985, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11670.9, + "sql_execution_elapsed_ms_total": 2.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5229c1800c9fb88938cd52e3f00f62a43a60dc6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:33.913662+00:00", + "ended_at": "2026-05-19T15:55:37.255383+00:00", + "elapsed_ms": 3341.69, + "returncode": 1, + "prompt_metrics": { + "chars": 5537, + "bytes_utf8": 5537, + "lines": 183, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..999fa0976c4092f1a45b73058e1a81bff6a05d9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:38.257563+00:00", + "ended_at": "2026-05-19T15:55:46.586820+00:00", + "elapsed_ms": 8329.21, + "prompt_metrics": { + "chars": 5537, + "bytes_utf8": 5537, + "lines": 183, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 735, + "bytes_utf8": 735, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 380, + "bytes_utf8": 380, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13732, + "cached_input_tokens": 12672, + "output_tokens": 253, + "reasoning_output_tokens": 145 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f858b5413e44c64543a727431b5220a09656a972 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,183 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=region, condition_col=smoker.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "region", + "condition_col": "smoker", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f858b5413e44c64543a727431b5220a09656a972 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,183 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=region, condition_col=smoker.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "region", + "condition_col": "smoker", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b520caa2ba4caa6a1afd768f4fc5f91b2c02c487 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-19a8-7eb1-ba1b-d1cc542bb4bd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..42ebf92d39776a486fcd85849423235edd9b7131 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-19a8-7eb1-ba1b-d1cc542bb4bd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e1ff9bc29b1414c74af054088a609844b478a17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-2ab9-7a70-a412-0fec868e6d1c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate.\\nSELECT \\\"region\\\",\\n AVG(CASE WHEN \\\"smoker\\\" = 'no' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"region\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col=\\\"region\\\" and condition_col=\\\"smoker\\\", measuring the rate of non-smokers ('no') in each region.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13732,"cached_input_tokens":12672,"output_tokens":253,"reasoning_output_tokens":145}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e54190da51b05dc22f3d44345d603da37a8d19a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate.\nSELECT \"region\",\n AVG(CASE WHEN \"smoker\" = 'no' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m4\"\nGROUP BY \"region\"\nORDER BY condition_rate DESC;","notes":"Uses the Grouped Condition Rate template with group_col=\"region\" and condition_col=\"smoker\", measuring the rate of non-smokers ('no') in each region."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_dc188a711717c2ac/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..21dabfacfc1bd5b834b2f6a474355b0992a764d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi. +Result preview: [{"bmi": 53.13}, {"bmi": 53.13}, {"bmi": 52.58}, {"bmi": 52.58}, {"bmi": 50.38}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..722b49c6a262e4c9b57007c7207439e84af9c38f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_set_consistency +-- intended_facet_id: low_support_extremes +-- variant_semantic_role: rare_extreme_view +-- template_id: tpl_m4_quantile_tail_slice +-- query_record_id: v2q_m4_ddb0020cc8ce8592 +-- problem_id: v2p_m4_96f7a48a1fa05b9c +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + CAST("bmi" AS REAL) AS "bmi", + NTILE(10) OVER (ORDER BY CAST("bmi" AS REAL) DESC) AS "tail_bucket" + FROM "m4" + WHERE "bmi" IS NOT NULL +) +SELECT "bmi" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "bmi" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6b0cd9cbffebb692daa2672cfc09596f67bc2974 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_quantile_tail_slice.\nWITH \"buckets\" AS (\n SELECT\n CAST(\"bmi\" AS REAL) AS \"bmi\",\n NTILE(10) OVER (ORDER BY CAST(\"bmi\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m4\"\n WHERE \"bmi\" IS NOT NULL\n)\nSELECT \"bmi\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"bmi\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice.\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"bmi\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"bmi\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"bmi\\\" IS NOT NULL\\n)\\nSELECT \\\"bmi\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"bmi\\\" DESC;\", \"columns\": [\"bmi\"], \"rows\": [{\"bmi\": 53.13}, {\"bmi\": 53.13}, {\"bmi\": 52.58}, {\"bmi\": 52.58}, {\"bmi\": 50.38}, {\"bmi\": 50.38}, {\"bmi\": 49.06}, {\"bmi\": 49.06}, {\"bmi\": 48.07}, {\"bmi\": 48.07}, {\"bmi\": 47.74}, {\"bmi\": 47.74}, {\"bmi\": 47.6}, {\"bmi\": 47.6}, {\"bmi\": 47.52}, {\"bmi\": 47.52}, {\"bmi\": 47.41}, {\"bmi\": 47.41}, {\"bmi\": 46.75}, {\"bmi\": 46.75}, {\"bmi\": 46.7}, {\"bmi\": 46.7}, {\"bmi\": 46.53}, {\"bmi\": 46.53}, {\"bmi\": 46.53}, {\"bmi\": 46.53}, {\"bmi\": 46.53}, {\"bmi\": 46.53}, {\"bmi\": 46.53}, {\"bmi\": 46.53}, {\"bmi\": 46.2}, {\"bmi\": 46.2}, {\"bmi\": 46.09}, {\"bmi\": 46.09}, {\"bmi\": 45.9}, {\"bmi\": 45.9}, {\"bmi\": 45.54}, {\"bmi\": 45.54}, {\"bmi\": 45.43}, {\"bmi\": 45.43}, {\"bmi\": 45.32}, {\"bmi\": 45.32}, {\"bmi\": 45.32}, {\"bmi\": 45.32}, {\"bmi\": 44.88}, {\"bmi\": 44.88}, {\"bmi\": 44.77}, {\"bmi\": 44.77}, {\"bmi\": 44.745}, {\"bmi\": 44.745}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 6.23}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..407a85b0c18c5dc0db7d8924d12fd7ed47a296bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:40:33.926718+00:00", + "ended_at": "2026-05-19T15:40:48.443755+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_ddb0020cc8ce8592", + "problem_id": "v2p_m4_96f7a48a1fa05b9c", + "dataset_id": "m4", + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=bmi.", + "bindings": { + "measure_col": "bmi", + "top_k": 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": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/1", + "binding_index=64" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ddb0020cc8ce8592.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ddb0020cc8ce8592", + "api_calls": 0, + "input_tokens": 13725, + "cached_input_tokens": 12672, + "output_tokens": 557, + "total_tokens": 14282, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14506.98, + "sql_execution_elapsed_ms_total": 6.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..196e504c96e7a0baa2d430e8056680be7e20d597 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:48.435615+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14506.98, "started_at": "2026-05-19T15:40:33.927592+00:00", "ended_at": "2026-05-19T15:40:48.434614+00:00", "prompt_metrics": {"chars": 5466, "bytes_utf8": 5466, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 507, "bytes_utf8": 507, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13725, "cached_input_tokens": 12672, "output_tokens": 557, "reasoning_output_tokens": 398}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice.\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n CAST(\\\"bmi\\\" AS REAL) AS \\\"bmi\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"bmi\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"bmi\\\" IS NOT NULL\\n)\\nSELECT \\\"bmi\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"bmi\\\" DESC;\",\"notes\":\"Used the requested Quantile Tail Slice template with measure_col bound to bmi and num_tiles=10. Cast bmi to REAL because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..40784b2d4971fb44aabff47905ddfd661ce84b47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ddb0020cc8ce8592", + "api_calls": 0, + "input_tokens": 13725, + "cached_input_tokens": 12672, + "output_tokens": 557, + "total_tokens": 14282, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14506.98, + "sql_execution_elapsed_ms_total": 6.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ddb0020cc8ce8592/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4bf49a20aadca4ebce357c13aef604757909a0ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6125, "bytes_utf8": 6125, "lines": 183, "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": 737, "bytes_utf8": 737, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13883, "cached_input_tokens": 12672, "output_tokens": 1094, "reasoning_output_tokens": 906}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..67b5ecb11fa3eb2890a12dbe7aba7d9967397796 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_de58e768eaa762ac", + "api_calls": 0, + "input_tokens": 13883, + "cached_input_tokens": 12672, + "output_tokens": 1094, + "total_tokens": 14977, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19978.75, + "sql_execution_elapsed_ms_total": 1.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f2d5222cf6f1c736518877290e3df8fcac5c7ec7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/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": "2026-05-19T15:37:10.897091+00:00", + "ended_at": "2026-05-19T15:37:30.875865+00:00", + "elapsed_ms": 19978.75, + "prompt_metrics": { + "chars": 6125, + "bytes_utf8": 6125, + "lines": 183, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1107, + "bytes_utf8": 1107, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 737, + "bytes_utf8": 737, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13883, + "cached_input_tokens": 12672, + "output_tokens": 1094, + "reasoning_output_tokens": 906 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e1c8f5a02475a6b6b17cd1a19846b7e736a1200 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,183 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=region, condition_col=region.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "region", + "condition_col": "region", + "condition_value": "southeast", + "positive_value": "southeast", + "negative_value": "southwest", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..23d4bf305c10e8acf4ab508f42e150e77cf08ea4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-4507-77e2-971d-e4884cadb07d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"region\\\",\\n SUM(CASE WHEN \\\"region\\\" = 'southeast' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"region\\\" = 'southwest' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"region\\\"\\n)\\nSELECT \\\"region\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the provided grouped-ratio template exactly with group_col=\\\"region\\\" and condition_col=\\\"region\\\". Because the grouping column and condition column are the same, most groups will yield NULL ratios and the southwest group will yield 0.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13883,"cached_input_tokens":12672,"output_tokens":1094,"reasoning_output_tokens":906}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..996271036e9233d114581a10ed982b071b58b2fe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"region\",\n SUM(CASE WHEN \"region\" = 'southeast' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"region\" = 'southwest' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m4\"\n GROUP BY \"region\"\n)\nSELECT \"region\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Applied the provided grouped-ratio template exactly with group_col=\"region\" and condition_col=\"region\". Because the grouping column and condition column are the same, most groups will yield NULL ratios and the southwest group will yield 0."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d820837ad395d25b19daf6d988610d5406f4604 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/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=region, condition_col=region. +Result preview: [{"region": "southwest", "condition_ratio": 0.0}, {"region": "northeast", "condition_ratio": null}, {"region": "northwest", "condition_ratio": null}, {"region": "southeast", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4067762fa24bf8c3dea4a4dc4a590db9e7593345 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m4_de58e768eaa762ac +-- problem_id: v2p_m4_67049a60ce468795 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "region", + SUM(CASE WHEN "region" = 'southeast' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "region" = 'southwest' THEN 1 ELSE 0 END) AS denominator_count + FROM "m4" + GROUP BY "region" +) +SELECT "region", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e510351bd5060ba612d6cfcd96269dbab33f6d04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/query_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 \"region\",\n SUM(CASE WHEN \"region\" = 'southeast' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"region\" = 'southwest' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m4\"\n GROUP BY \"region\"\n)\nSELECT \"region\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"region\\\",\\n SUM(CASE WHEN \\\"region\\\" = 'southeast' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"region\\\" = 'southwest' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"region\\\"\\n)\\nSELECT \\\"region\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"region\", \"condition_ratio\"], \"rows\": [{\"region\": \"southwest\", \"condition_ratio\": 0.0}, {\"region\": \"northeast\", \"condition_ratio\": null}, {\"region\": \"northwest\", \"condition_ratio\": null}, {\"region\": \"southeast\", \"condition_ratio\": null}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.8}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e7f3295f25f89690b6a5ed33f8544415903edbff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:37:10.896283+00:00", + "ended_at": "2026-05-19T15:37:30.879763+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_de58e768eaa762ac", + "problem_id": "v2p_m4_67049a60ce468795", + "dataset_id": "m4", + "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=region, condition_col=region.", + "bindings": { + "group_col": "region", + "condition_col": "region", + "condition_value": "southeast", + "positive_value": "southeast", + "negative_value": "southwest", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "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=4", + "sql_variant_index=1/1", + "binding_index=39" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_de58e768eaa762ac.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_de58e768eaa762ac", + "api_calls": 0, + "input_tokens": 13883, + "cached_input_tokens": 12672, + "output_tokens": 1094, + "total_tokens": 14977, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19978.75, + "sql_execution_elapsed_ms_total": 1.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ca555010d878812e9d65c61fbcd36ad9882c7d43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:30.876645+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 19978.75, "started_at": "2026-05-19T15:37:10.897091+00:00", "ended_at": "2026-05-19T15:37:30.875865+00:00", "prompt_metrics": {"chars": 6125, "bytes_utf8": 6125, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 737, "bytes_utf8": 737, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13883, "cached_input_tokens": 12672, "output_tokens": 1094, "reasoning_output_tokens": 906}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"region\\\",\\n SUM(CASE WHEN \\\"region\\\" = 'southeast' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"region\\\" = 'southwest' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"region\\\"\\n)\\nSELECT \\\"region\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the provided grouped-ratio template exactly with group_col=\\\"region\\\" and condition_col=\\\"region\\\". Because the grouping column and condition column are the same, most groups will yield NULL ratios and the southwest group will yield 0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8f87eddea7b18b389cc42b671795d84e66373a03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_de58e768eaa762ac", + "api_calls": 0, + "input_tokens": 13883, + "cached_input_tokens": 12672, + "output_tokens": 1094, + "total_tokens": 14977, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19978.75, + "sql_execution_elapsed_ms_total": 1.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_de58e768eaa762ac/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1ae31fbb8d0578f1dc7897b43f878dbc5ef8f0a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:24.415084+00:00", + "ended_at": "2026-05-19T15:58:27.508350+00:00", + "elapsed_ms": 3093.23, + "returncode": 1, + "prompt_metrics": { + "chars": 5286, + "bytes_utf8": 5286, + "lines": 178, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..38c1e584558cf37b95611edf6a55c0d868f533bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:28.510970+00:00", + "ended_at": "2026-05-19T15:58:31.534188+00:00", + "elapsed_ms": 3023.17, + "returncode": 1, + "prompt_metrics": { + "chars": 5286, + "bytes_utf8": 5286, + "lines": 178, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d104f34f1020c8e99f6f2bcff8a2f3161b6c78df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=sex.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "sex", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d104f34f1020c8e99f6f2bcff8a2f3161b6c78df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,178 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=sex.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "sex", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5d1af8422b4604792d34d84eb1492014a6a3ea7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-b3b4-7400-a7e8-a01e4bd587c4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9c1caefebf8f7ec31725d8efc235f78a5c55f91 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-b3b4-7400-a7e8-a01e4bd587c4"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd1cc9bfa4bde1af083abab62cc8e68fca5019e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-c3c5-78b0-b7b5-3152b73bb364"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef39f5d1b19774465075294fdeb66bdaa27252d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-c3c5-78b0-b7b5-3152b73bb364"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e63ae87bf69b08f1/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e7460971c232f9a8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e7460971c232f9a8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ba6135865599ac38d46e6fbf67d9b10f26f019e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e7460971c232f9a8/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:55:58.353384+00:00", + "ended_at": "2026-05-19T15:56:05.761836+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_e7460971c232f9a8", + "problem_id": "v2p_m4_fc4bfb0c355595c4", + "dataset_id": "m4", + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_set_consistency", + "intended_facet_id": "low_support_extremes", + "variant_semantic_role": "rare_extreme_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=age.", + "bindings": { + "measure_col": "age", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "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=1", + "sql_variant_index=1/1", + "binding_index=108" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "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", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e7460971c232f9a8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e7460971c232f9a8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b0c17bc282cb59a4afd43fbc7b5d3628a879ccae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e7460971c232f9a8/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:56:01.330578+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": 2975.51, "started_at": "2026-05-19T15:55:58.354368+00:00", "ended_at": "2026-05-19T15:56:01.329902+00:00", "prompt_metrics": {"chars": 5231, "bytes_utf8": 5231, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-7912-7461-be98-14c9ba48f59e\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:56:05.761752+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": 3429.21, "started_at": "2026-05-19T15:56:02.331806+00:00", "ended_at": "2026-05-19T15:56:05.761053+00:00", "prompt_metrics": {"chars": 5231, "bytes_utf8": 5231, "lines": 178, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f3-88b0-7e11-a745-fcff67d8c3b0\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f545eb5e28083038df2ab7a5e958aeb284b73a24 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_e78680ead3df9746", + "api_calls": 0, + "input_tokens": 13669, + "cached_input_tokens": 12032, + "output_tokens": 207, + "total_tokens": 13876, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7568.88, + "sql_execution_elapsed_ms_total": 1.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3c882793c44fedafacaab03e0c8890b2cfbecc8d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/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": "2026-05-19T15:28:27.443167+00:00", + "ended_at": "2026-05-19T15:28:35.012082+00:00", + "elapsed_ms": 7568.88, + "prompt_metrics": { + "chars": 5285, + "bytes_utf8": 5285, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 704, + "bytes_utf8": 704, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 346, + "bytes_utf8": 346, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13669, + "cached_input_tokens": 12032, + "output_tokens": 207, + "reasoning_output_tokens": 113 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa57d8a25a4eb19dc4fb94e3f1568513b64a1e7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sex, measure_col=age.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "sex", + "measure_col": "age", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1624edee70aa023ba650b3fb81b13a5e879075f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-4834-7fb3-9839-a7f7226c4556"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"sex\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the planned Grouped Numeric Sum template with group_col=\\\"sex\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" from TEXT to REAL for SQLite-compatible numeric aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13669,"cached_input_tokens":12032,"output_tokens":207,"reasoning_output_tokens":113}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..559eb533bb095f7027f73f1eac39e0fcb14c913d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"sex\", SUM(CAST(\"age\" AS REAL)) AS total_measure\nFROM \"m4\"\nGROUP BY \"sex\"\nORDER BY total_measure DESC;","notes":"Applied the planned Grouped Numeric Sum template with group_col=\"sex\" and measure_col=\"age\". Cast \"age\" from TEXT to REAL for SQLite-compatible numeric aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f4859892b7e02f635fef2cd49a89b3f44f1fd63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/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=sex, measure_col=age. +Result preview: [{"sex": "male", "total_measure": 54480.0}, {"sex": "female", "total_measure": 53932.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..073ce6b0a8c97d8cbecb619c5dbee44bb66518f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: subgroup_structure +-- canonical_subitem_id: internal_profile_stability +-- intended_facet_id: subgroup_rank_order +-- variant_semantic_role: collapsed_target_view +-- template_id: tpl_h2o_group_sum +-- query_record_id: v2q_m4_e78680ead3df9746 +-- problem_id: v2p_m4_39ff653a14477957 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", SUM(CAST("age" AS REAL)) AS total_measure +FROM "m4" +GROUP BY "sex" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..95f07d90332840303339c2eb09b07ff769a11a14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/query_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 \"sex\", SUM(CAST(\"age\" AS REAL)) AS total_measure\nFROM \"m4\"\nGROUP BY \"sex\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"sex\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"sex\", \"total_measure\"], \"rows\": [{\"sex\": \"male\", \"total_measure\": 54480.0}, {\"sex\": \"female\", \"total_measure\": 53932.0}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.42}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..430048792ce13bfd0464c973bc9c262ef9486ac2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:28:27.442411+00:00", + "ended_at": "2026-05-19T15:28:35.015880+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_e78680ead3df9746", + "problem_id": "v2p_m4_39ff653a14477957", + "dataset_id": "m4", + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "family_id": "subgroup_structure", + "canonical_subitem_id": "internal_profile_stability", + "intended_facet_id": "subgroup_rank_order", + "variant_semantic_role": "collapsed_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sex, measure_col=age.", + "bindings": { + "group_col": "sex", + "measure_col": "age", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=0" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_e78680ead3df9746.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_e78680ead3df9746", + "api_calls": 0, + "input_tokens": 13669, + "cached_input_tokens": 12032, + "output_tokens": 207, + "total_tokens": 13876, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7568.88, + "sql_execution_elapsed_ms_total": 1.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..71882dfed03375045a9760d59f81faeb4a098874 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:35.013080+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7568.88, "started_at": "2026-05-19T15:28:27.443167+00:00", "ended_at": "2026-05-19T15:28:35.012082+00:00", "prompt_metrics": {"chars": 5285, "bytes_utf8": 5285, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 346, "bytes_utf8": 346, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13669, "cached_input_tokens": 12032, "output_tokens": 207, "reasoning_output_tokens": 113}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"sex\\\", SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the planned Grouped Numeric Sum template with group_col=\\\"sex\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" from TEXT to REAL for SQLite-compatible numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5a9858a51058da4b45c053f8381ea7687436f1f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_e78680ead3df9746", + "api_calls": 0, + "input_tokens": 13669, + "cached_input_tokens": 12032, + "output_tokens": 207, + "total_tokens": 13876, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7568.88, + "sql_execution_elapsed_ms_total": 1.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e78680ead3df9746/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d13cbc1cf85ec2b4cdf4602b1a65d30611b8c94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/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=region, condition_col=smoker. +Result preview: [{"region": "southwest", "condition_ratio": 4.796610169491525}, {"region": "northwest", "condition_ratio": 4.627118644067797}, {"region": "northeast", "condition_ratio": 3.838235294117647}, {"region": "southeast", "condition_ratio": 2.9895833333333335}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e7a23a6189c73e270fbca05d5ad6a1bd9481ae46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m4_e823df53d71d0590 +-- problem_id: v2p_m4_11fb0650d5f4ea17 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "region", + SUM(CASE WHEN "smoker" = 'no' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "smoker" = 'yes' THEN 1 ELSE 0 END) AS denominator_count + FROM "m4" + GROUP BY "region" +) +SELECT "region", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8ae00abcb2b536ba21534524aa4a138c85dd5487 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/query_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 \"region\",\n SUM(CASE WHEN \"smoker\" = 'no' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"smoker\" = 'yes' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m4\"\n GROUP BY \"region\"\n)\nSELECT \"region\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"region\\\",\\n SUM(CASE WHEN \\\"smoker\\\" = 'no' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"smoker\\\" = 'yes' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"region\\\"\\n)\\nSELECT \\\"region\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"region\", \"condition_ratio\"], \"rows\": [{\"region\": \"southwest\", \"condition_ratio\": 4.796610169491525}, {\"region\": \"northwest\", \"condition_ratio\": 4.627118644067797}, {\"region\": \"northeast\", \"condition_ratio\": 3.838235294117647}, {\"region\": \"southeast\", \"condition_ratio\": 2.9895833333333335}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.32}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..80435e14411ca2db7f63dbc5567a8002aeb23c62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:38:10.228278+00:00", + "ended_at": "2026-05-19T15:38:22.046472+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_e823df53d71d0590", + "problem_id": "v2p_m4_11fb0650d5f4ea17", + "dataset_id": "m4", + "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=region, condition_col=smoker.", + "bindings": { + "group_col": "region", + "condition_col": "smoker", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/1", + "binding_index=43" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_e823df53d71d0590.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_e823df53d71d0590", + "api_calls": 0, + "input_tokens": 13880, + "cached_input_tokens": 12672, + "output_tokens": 304, + "total_tokens": 14184, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11812.11, + "sql_execution_elapsed_ms_total": 2.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ad1e2dd9dcc55b598fba7d22eb1289989e7a71d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:22.042594+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11812.11, "started_at": "2026-05-19T15:38:10.229590+00:00", "ended_at": "2026-05-19T15:38:22.041738+00:00", "prompt_metrics": {"chars": 6106, "bytes_utf8": 6106, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 625, "bytes_utf8": 625, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13880, "cached_input_tokens": 12672, "output_tokens": 304, "reasoning_output_tokens": 133}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"region\\\",\\n SUM(CASE WHEN \\\"smoker\\\" = 'no' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"smoker\\\" = 'yes' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"region\\\"\\n)\\nSELECT \\\"region\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned template with group_col=\\\"region\\\" and condition_col=\\\"smoker\\\", computing the ratio of non-smokers to smokers for each region.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a5e181a213d3e0c4876520bffceee7d872742620 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_e823df53d71d0590", + "api_calls": 0, + "input_tokens": 13880, + "cached_input_tokens": 12672, + "output_tokens": 304, + "total_tokens": 14184, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11812.11, + "sql_execution_elapsed_ms_total": 2.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_e823df53d71d0590/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9fe58a2844189df8335635b7beb3f9138c83354b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5689, "bytes_utf8": 5689, "lines": 182, "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": 549, "bytes_utf8": 549, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13788, "cached_input_tokens": 12672, "output_tokens": 416, "reasoning_output_tokens": 256}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e2ada216e9d1d42e51715e799f5310430b1ca5c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ea211a02fba6ceb4", + "api_calls": 0, + "input_tokens": 13788, + "cached_input_tokens": 12672, + "output_tokens": 416, + "total_tokens": 14204, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10994.25, + "sql_execution_elapsed_ms_total": 11.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..587d3cef5c08f55b804974f2f4269373e29828b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/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": "2026-05-19T15:31:45.442604+00:00", + "ended_at": "2026-05-19T15:31:56.436890+00:00", + "elapsed_ms": 10994.25, + "prompt_metrics": { + "chars": 5689, + "bytes_utf8": 5689, + "lines": 182, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 933, + "bytes_utf8": 933, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 549, + "bytes_utf8": 549, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13788, + "cached_input_tokens": 12672, + "output_tokens": 416, + "reasoning_output_tokens": 256 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb501b421f1b03f50d3c22f71a8fc004df601c03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,182 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=sex, measure_col=age.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "sex", + "measure_col": "age", + "item_col": "bmi", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c095e9f9a7d9ff5693cfa777b111229273ebc243 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-4da6-7210-97ef-d965183f4d09"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"sex\\\", \\\"bmi\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"age\\\" AS REAL))) OVER (PARTITION BY \\\"sex\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"sex\\\", item_col=\\\"bmi\\\", and measure_col=\\\"age\\\". Cast \\\"age\\\" to REAL because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13788,"cached_input_tokens":12672,"output_tokens":416,"reasoning_output_tokens":256}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..52789f42352aa88428cb53626ec29185d3eb02c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"sex\", \"bmi\",\n SUM(CAST(\"age\" AS REAL)) AS total_measure,\n SUM(CAST(\"age\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"age\" AS REAL))) OVER (PARTITION BY \"sex\") AS share_within_group\nFROM \"m4\"\nGROUP BY \"sex\", \"bmi\"\nORDER BY share_within_group DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"sex\", item_col=\"bmi\", and measure_col=\"age\". Cast \"age\" to 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_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..04de77187c12157a38e55dca58d7e1218b307775 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/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=sex, measure_col=age. +Result preview: [{"sex": "male", "bmi": "32.3", "total_measure": 792.0, "share_within_group": 1.4537444933920705}, {"sex": "male", "bmi": "25.46", "total_measure": 534.0, "share_within_group": 0.9801762114537445}, {"sex": "male", "bmi": "24.32", "total_measure": 524.0, "share_within_group": 0.9618208516886931}, {"sex": "male", "bmi": "30.875", "total_measure": 520.0, "share_within_group": 0.9544787077826725}, {"sex": "female", "bmi": "32.3", "total_measure": 514.0, "share_within_group": 0.9530519913965735}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4fd02f196bca001d667b61eb1746d67d9fae76a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m4_ea211a02fba6ceb4 +-- problem_id: v2p_m4_d9e6482613babf3a +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "bmi", + SUM(CAST("age" AS REAL)) AS total_measure, + SUM(CAST("age" AS REAL)) * 100.0 / SUM(SUM(CAST("age" AS REAL))) OVER (PARTITION BY "sex") AS share_within_group +FROM "m4" +GROUP BY "sex", "bmi" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5c99c9387dd067a432bac3a1b26710fa2291b22c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"sex\", \"bmi\",\n SUM(CAST(\"age\" AS REAL)) AS total_measure,\n SUM(CAST(\"age\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"age\" AS REAL))) OVER (PARTITION BY \"sex\") AS share_within_group\nFROM \"m4\"\nGROUP BY \"sex\", \"bmi\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"sex\\\", \\\"bmi\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"age\\\" AS REAL))) OVER (PARTITION BY \\\"sex\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"sex\", \"bmi\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"sex\": \"male\", \"bmi\": \"32.3\", \"total_measure\": 792.0, \"share_within_group\": 1.4537444933920705}, {\"sex\": \"male\", \"bmi\": \"25.46\", \"total_measure\": 534.0, \"share_within_group\": 0.9801762114537445}, {\"sex\": \"male\", \"bmi\": \"24.32\", \"total_measure\": 524.0, \"share_within_group\": 0.9618208516886931}, {\"sex\": \"male\", \"bmi\": \"30.875\", \"total_measure\": 520.0, \"share_within_group\": 0.9544787077826725}, {\"sex\": \"female\", \"bmi\": \"32.3\", \"total_measure\": 514.0, \"share_within_group\": 0.9530519913965735}, {\"sex\": \"male\", \"bmi\": \"33.63\", \"total_measure\": 510.0, \"share_within_group\": 0.9361233480176211}, {\"sex\": \"female\", \"bmi\": \"29.92\", \"total_measure\": 494.0, \"share_within_group\": 0.9159682563227768}, {\"sex\": \"male\", \"bmi\": \"31.35\", \"total_measure\": 456.0, \"share_within_group\": 0.8370044052863436}, {\"sex\": \"female\", \"bmi\": \"32.965\", \"total_measure\": 450.0, \"share_within_group\": 0.8343840391604243}, {\"sex\": \"female\", \"bmi\": \"27.5\", \"total_measure\": 448.0, \"share_within_group\": 0.8306756656530446}, {\"sex\": \"female\", \"bmi\": \"26.6\", \"total_measure\": 444.0, \"share_within_group\": 0.8232589186382853}, {\"sex\": \"male\", \"bmi\": \"30.8\", \"total_measure\": 440.0, \"share_within_group\": 0.8076358296622613}, {\"sex\": \"male\", \"bmi\": \"32.11\", \"total_measure\": 438.0, \"share_within_group\": 0.8039647577092511}, {\"sex\": \"female\", \"bmi\": \"30.495\", \"total_measure\": 428.0, \"share_within_group\": 0.7935919305792479}, {\"sex\": \"male\", \"bmi\": \"29.83\", \"total_measure\": 432.0, \"share_within_group\": 0.7929515418502202}, {\"sex\": \"female\", \"bmi\": \"38.06\", \"total_measure\": 416.0, \"share_within_group\": 0.77134168953497}, {\"sex\": \"male\", \"bmi\": \"34.1\", \"total_measure\": 414.0, \"share_within_group\": 0.7599118942731278}, {\"sex\": \"male\", \"bmi\": \"26.41\", \"total_measure\": 412.0, \"share_within_group\": 0.7562408223201175}, {\"sex\": \"male\", \"bmi\": \"28.31\", \"total_measure\": 412.0, \"share_within_group\": 0.7562408223201175}, {\"sex\": \"female\", \"bmi\": \"23.18\", \"total_measure\": 406.0, \"share_within_group\": 0.7527998219980716}, {\"sex\": \"female\", \"bmi\": \"27.83\", \"total_measure\": 402.0, \"share_within_group\": 0.7453830749833124}, {\"sex\": \"female\", \"bmi\": \"32.395\", \"total_measure\": 398.0, \"share_within_group\": 0.737966327968553}, {\"sex\": \"male\", \"bmi\": \"32.775\", \"total_measure\": 402.0, \"share_within_group\": 0.737885462555066}, {\"sex\": \"female\", \"bmi\": \"31.825\", \"total_measure\": 396.0, \"share_within_group\": 0.7342579544611734}, {\"sex\": \"female\", \"bmi\": \"34.8\", \"total_measure\": 392.0, \"share_within_group\": 0.726841207446414}, {\"sex\": \"female\", \"bmi\": \"27.645\", \"total_measure\": 380.0, \"share_within_group\": 0.704590966402136}, {\"sex\": \"female\", \"bmi\": \"30.78\", \"total_measure\": 380.0, \"share_within_group\": 0.704590966402136}, {\"sex\": \"female\", \"bmi\": \"32.68\", \"total_measure\": 378.0, \"share_within_group\": 0.7008825928947564}, {\"sex\": \"female\", \"bmi\": \"35.815\", \"total_measure\": 376.0, \"share_within_group\": 0.6971742193873767}, {\"sex\": \"male\", \"bmi\": \"30.2\", \"total_measure\": 378.0, \"share_within_group\": 0.6938325991189427}, {\"sex\": \"male\", \"bmi\": \"33.66\", \"total_measure\": 378.0, \"share_within_group\": 0.6938325991189427}, {\"sex\": \"female\", \"bmi\": \"25.08\", \"total_measure\": 370.0, \"share_within_group\": 0.6860490988652377}, {\"sex\": \"male\", \"bmi\": \"28.595\", \"total_measure\": 370.0, \"share_within_group\": 0.6791483113069016}, {\"sex\": \"female\", \"bmi\": \"27.74\", \"total_measure\": 364.0, \"share_within_group\": 0.6749239783430987}, {\"sex\": \"female\", \"bmi\": \"39.82\", \"total_measure\": 362.0, \"share_within_group\": 0.6712156048357191}, {\"sex\": \"female\", \"bmi\": \"35.2\", \"total_measure\": 354.0, \"share_within_group\": 0.6563821108062003}, {\"sex\": \"female\", \"bmi\": \"25.8\", \"total_measure\": 350.0, \"share_within_group\": 0.6489653637914411}, {\"sex\": \"male\", \"bmi\": \"34.21\", \"total_measure\": 340.0, \"share_within_group\": 0.6240822320117474}, {\"sex\": \"male\", \"bmi\": \"36.1\", \"total_measure\": 340.0, \"share_within_group\": 0.6240822320117474}, {\"sex\": \"male\", \"bmi\": \"29.7\", \"total_measure\": 336.0, \"share_within_group\": 0.6167400881057269}, {\"sex\": \"male\", \"bmi\": \"29.64\", \"total_measure\": 334.0, \"share_within_group\": 0.6130690161527166}, {\"sex\": \"female\", \"bmi\": \"27.72\", \"total_measure\": 326.0, \"share_within_group\": 0.6044648817028851}, {\"sex\": \"male\", \"bmi\": \"28.975\", \"total_measure\": 324.0, \"share_within_group\": 0.5947136563876652}, {\"sex\": \"female\", \"bmi\": \"28.785\", \"total_measure\": 318.0, \"share_within_group\": 0.5896313876733664}, {\"sex\": \"female\", \"bmi\": \"31.9\", \"total_measure\": 314.0, \"share_within_group\": 0.5822146406586072}, {\"sex\": \"male\", \"bmi\": \"27.36\", \"total_measure\": 314.0, \"share_within_group\": 0.5763582966226138}, {\"sex\": \"male\", \"bmi\": \"37.1\", \"total_measure\": 308.0, \"share_within_group\": 0.5653450807635829}, {\"sex\": \"female\", \"bmi\": \"39.05\", \"total_measure\": 304.0, \"share_within_group\": 0.5636727731217088}, {\"sex\": \"male\", \"bmi\": \"36.08\", \"total_measure\": 304.0, \"share_within_group\": 0.5580029368575624}, {\"sex\": \"female\", \"bmi\": \"25.3\", \"total_measure\": 300.0, \"share_within_group\": 0.5562560261069495}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 11.12}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e513c0d324e101dc63acb8bcfec11b7c87f598bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:31:45.441022+00:00", + "ended_at": "2026-05-19T15:31:56.452884+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_ea211a02fba6ceb4", + "problem_id": "v2p_m4_d9e6482613babf3a", + "dataset_id": "m4", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=sex, measure_col=age.", + "bindings": { + "group_col": "sex", + "measure_col": "age", + "item_col": "bmi", + "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": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=24" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ea211a02fba6ceb4.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ea211a02fba6ceb4", + "api_calls": 0, + "input_tokens": 13788, + "cached_input_tokens": 12672, + "output_tokens": 416, + "total_tokens": 14204, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10994.25, + "sql_execution_elapsed_ms_total": 11.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a0a9e8d87487151d78ee716f6b8c4f70498c3177 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:56.438429+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10994.25, "started_at": "2026-05-19T15:31:45.442604+00:00", "ended_at": "2026-05-19T15:31:56.436890+00:00", "prompt_metrics": {"chars": 5689, "bytes_utf8": 5689, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 549, "bytes_utf8": 549, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13788, "cached_input_tokens": 12672, "output_tokens": 416, "reasoning_output_tokens": 256}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"sex\\\", \\\"bmi\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"age\\\" AS REAL))) OVER (PARTITION BY \\\"sex\\\") AS share_within_group\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\", \\\"bmi\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"sex\\\", item_col=\\\"bmi\\\", and measure_col=\\\"age\\\". Cast \\\"age\\\" to REAL because the schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..627a1336e25ff86ab06ddd56f22b970ac89f8a62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ea211a02fba6ceb4", + "api_calls": 0, + "input_tokens": 13788, + "cached_input_tokens": 12672, + "output_tokens": 416, + "total_tokens": 14204, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10994.25, + "sql_execution_elapsed_ms_total": 11.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea211a02fba6ceb4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..792930ea069759e5a86b6983007981eb5a612367 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ea49128c0ba61337", + "api_calls": 0, + "input_tokens": 13681, + "cached_input_tokens": 12672, + "output_tokens": 591, + "total_tokens": 14272, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13349.74, + "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_d/m4/artifacts/v2q_m4_ea49128c0ba61337/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f2213f58811aa79679fb2757de9dda865fec916c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:34.331741+00:00", + "ended_at": "2026-05-19T15:59:47.681510+00:00", + "elapsed_ms": 13349.74, + "prompt_metrics": { + "chars": 5381, + "bytes_utf8": 5381, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 976, + "bytes_utf8": 976, + "lines": 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": 13681, + "cached_input_tokens": 12672, + "output_tokens": 591, + "reasoning_output_tokens": 429 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..64f4a1cb54fa047832292b381e2ebdd4d05254ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=children, measure_col=bmi.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "children", + "measure_col": "bmi", + "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": 33.11, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfb4f8a9718af2693a129f8f825ac3ff35ffdb36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-c4af-7c30-a857-1a1589e84242"} +{"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 \\\"children\\\",\\n AVG(CAST(\\\"bmi\\\" AS REAL)) OVER (PARTITION BY \\\"children\\\") AS \\\"avg_measure\\\"\\nFROM \\\"m4\\\"\\nWHERE \\\"children\\\" IS NOT NULL\\n AND \\\"children\\\" <> ''\\n AND \\\"bmi\\\" IS NOT NULL\\n AND \\\"bmi\\\" <> ''\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Used the Window Partition Average template with \\\"children\\\" as the group column and \\\"bmi\\\" as the measure column. Cast \\\"bmi\\\" to REAL because the schema stores numeric values as TEXT, and filtered out null/empty values to keep the grouped averages stable.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13681,"cached_input_tokens":12672,"output_tokens":591,"reasoning_output_tokens":429}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..40e7d8bb6e988f8fd2e51ae905ba7827cad844d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/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=children, measure_col=bmi. +Result preview: [{"children": "4", "avg_measure": 31.314615384615383}, {"children": "2", "avg_measure": 31.035806451612903}, {"children": "1", "avg_measure": 30.705744047619046}, {"children": "0", "avg_measure": 30.628507588532887}, {"children": "3", "avg_measure": 30.580000000000002}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..42f84cfe66756a3f260742d7d10cf69bac619619 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: filtered_stable_view +-- template_id: tpl_m4_window_partition_avg +-- query_record_id: v2q_m4_ea49128c0ba61337 +-- problem_id: v2p_m4_aa02b02ac518c918 +-- realization_mode: agent +-- source_kind: agent +SELECT DISTINCT + "children", + AVG(CAST("bmi" AS REAL)) OVER (PARTITION BY "children") AS "avg_measure" +FROM "m4" +WHERE "children" IS NOT NULL + AND "children" <> '' + AND "bmi" IS NOT NULL + AND "bmi" <> '' +ORDER BY "avg_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3aa2c4a4910984a9e6dbf3511ca9684dedaafbef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n \"children\",\n AVG(CAST(\"bmi\" AS REAL)) OVER (PARTITION BY \"children\") AS \"avg_measure\"\nFROM \"m4\"\nWHERE \"children\" IS NOT NULL\n AND \"children\" <> ''\n AND \"bmi\" IS NOT NULL\n AND \"bmi\" <> ''\nORDER BY \"avg_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"children\\\",\\n AVG(CAST(\\\"bmi\\\" AS REAL)) OVER (PARTITION BY \\\"children\\\") AS \\\"avg_measure\\\"\\nFROM \\\"m4\\\"\\nWHERE \\\"children\\\" IS NOT NULL\\n AND \\\"children\\\" <> ''\\n AND \\\"bmi\\\" IS NOT NULL\\n AND \\\"bmi\\\" <> ''\\nORDER BY \\\"avg_measure\\\" DESC;\", \"columns\": [\"children\", \"avg_measure\"], \"rows\": [{\"children\": \"4\", \"avg_measure\": 31.314615384615383}, {\"children\": \"2\", \"avg_measure\": 31.035806451612903}, {\"children\": \"1\", \"avg_measure\": 30.705744047619046}, {\"children\": \"0\", \"avg_measure\": 30.628507588532887}, {\"children\": \"3\", \"avg_measure\": 30.580000000000002}, {\"children\": \"5\", \"avg_measure\": 28.915000000000003}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 5.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..642b1ecf62c3c92d7f7bcbb5b9fdfae84f893417 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:59:34.330540+00:00", + "ended_at": "2026-05-19T15:59:47.689527+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_ea49128c0ba61337", + "problem_id": "v2p_m4_aa02b02ac518c918", + "dataset_id": "m4", + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "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=children, measure_col=bmi.", + "bindings": { + "group_col": "children", + "measure_col": "bmi", + "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": 33.11, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT 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", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_ea49128c0ba61337.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ea49128c0ba61337", + "api_calls": 0, + "input_tokens": 13681, + "cached_input_tokens": 12672, + "output_tokens": 591, + "total_tokens": 14272, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13349.74, + "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_d/m4/artifacts/v2q_m4_ea49128c0ba61337/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6d3ebcd4d331a295af44eabb4738a18fc7c02ce7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:59:47.682338+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13349.74, "started_at": "2026-05-19T15:59:34.331741+00:00", "ended_at": "2026-05-19T15:59:47.681510+00:00", "prompt_metrics": {"chars": 5381, "bytes_utf8": 5381, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 589, "bytes_utf8": 589, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13681, "cached_input_tokens": 12672, "output_tokens": 591, "reasoning_output_tokens": 429}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"children\\\",\\n AVG(CAST(\\\"bmi\\\" AS REAL)) OVER (PARTITION BY \\\"children\\\") AS \\\"avg_measure\\\"\\nFROM \\\"m4\\\"\\nWHERE \\\"children\\\" IS NOT NULL\\n AND \\\"children\\\" <> ''\\n AND \\\"bmi\\\" IS NOT NULL\\n AND \\\"bmi\\\" <> ''\\nORDER BY \\\"avg_measure\\\" DESC;\",\"notes\":\"Used the Window Partition Average template with \\\"children\\\" as the group column and \\\"bmi\\\" as the measure column. Cast \\\"bmi\\\" to REAL because the schema stores numeric values as TEXT, and filtered out null/empty values to keep the grouped averages stable.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..73d4d8a7f6313bc5ed0a098bf058b85bd7ef3b47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ea49128c0ba61337/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ea49128c0ba61337", + "api_calls": 0, + "input_tokens": 13681, + "cached_input_tokens": 12672, + "output_tokens": 591, + "total_tokens": 14272, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13349.74, + "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_d/m4/artifacts/v2q_m4_ea49128c0ba61337/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2c77f057ca8a6e158acd8a00059856349cde8866 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5376, "bytes_utf8": 5376, "lines": 180, "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": 5376, "bytes_utf8": 5376, "lines": 180, "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": 536, "bytes_utf8": 536, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13683, "cached_input_tokens": 12032, "output_tokens": 635, "reasoning_output_tokens": 480}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cf73d9768bc6db294d48615025e10675881ea1ac --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ec9fc327163579e2", + "api_calls": 0, + "input_tokens": 13683, + "cached_input_tokens": 12032, + "output_tokens": 635, + "total_tokens": 14318, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17570.57, + "sql_execution_elapsed_ms_total": 12.16, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4b4d9b38b2c1bac3af0fb013290d652c6029ad73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:09.532599+00:00", + "ended_at": "2026-05-19T16:01:12.563675+00:00", + "elapsed_ms": 3031.05, + "returncode": 1, + "prompt_metrics": { + "chars": 5376, + "bytes_utf8": 5376, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6c32e2af8aa9d77ec10552884b015c826755ed4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:13.565339+00:00", + "ended_at": "2026-05-19T16:01:28.104907+00:00", + "elapsed_ms": 14539.52, + "prompt_metrics": { + "chars": 5376, + "bytes_utf8": 5376, + "lines": 180, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 915, + "bytes_utf8": 915, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 536, + "bytes_utf8": 536, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13683, + "cached_input_tokens": 12032, + "output_tokens": 635, + "reasoning_output_tokens": 480 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa976350c990dde094daf815ea65a98a2e7ad838 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=smoker, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "smoker", + "measure_col": "age", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa976350c990dde094daf815ea65a98a2e7ad838 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,180 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=smoker, measure_col=age.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "smoker", + "measure_col": "age", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 51.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7920cc1195398631957d2437370c76bb162b3d05 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-389b-7ab3-8a3b-f156d261192a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..83060bb12d68da93e4ea9a80554c8fc4bb33ea9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-389b-7ab3-8a3b-f156d261192a"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f55b2df35e8d7c812e9eabc11487372d0e682cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-4864-75c0-9a0b-f425283ad87c"} +{"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 \\\"smoker\\\",\\n AVG(CAST(\\\"age\\\" AS REAL)) OVER (PARTITION BY \\\"smoker\\\") AS avg_measure\\nFROM \\\"m4\\\"\\nWHERE \\\"smoker\\\" IS NOT NULL\\n AND TRIM(\\\"smoker\\\") <> ''\\n AND \\\"age\\\" IS NOT NULL\\n AND TRIM(\\\"age\\\") <> ''\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"smoker\\\" and measure_col=\\\"age\\\". Cast \\\"age\\\" to REAL because the schema stores it as TEXT, and filtered out NULL/blank values for a stable view.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13683,"cached_input_tokens":12032,"output_tokens":635,"reasoning_output_tokens":480}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a6c84ba9e75410d83df688a5dc4d9e2429b5960f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n \"smoker\",\n AVG(CAST(\"age\" AS REAL)) OVER (PARTITION BY \"smoker\") AS avg_measure\nFROM \"m4\"\nWHERE \"smoker\" IS NOT NULL\n AND TRIM(\"smoker\") <> ''\n AND \"age\" IS NOT NULL\n AND TRIM(\"age\") <> ''\nORDER BY avg_measure DESC;","notes":"Applied the Window Partition Average template with group_col=\"smoker\" and measure_col=\"age\". Cast \"age\" to REAL because the schema stores it as TEXT, and filtered out NULL/blank values for a stable view."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ec9fc327163579e2/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e11ec58ab71724cbafcd224c496e6840f96fb172 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/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=children, condition_col=children. +Result preview: [{"children": "1", "condition_rate": 1.0}, {"children": "5", "condition_rate": 0.0}, {"children": "4", "condition_rate": 0.0}, {"children": "3", "condition_rate": 0.0}, {"children": "2", "condition_rate": 0.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..89b12cc8f211cf1831d507b5c1cd7f6e4dac31ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_m4_group_condition_rate +-- query_record_id: v2q_m4_f42a450393ee7de9 +-- problem_id: v2p_m4_dc485ffeacf5fdd3 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", + AVG(CASE WHEN "children" = '1' THEN 1 ELSE 0 END) AS condition_rate +FROM "m4" +GROUP BY "children" +ORDER BY condition_rate DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a81dd716cf1963e3e169e69ab9ed97a90ad83c7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/query_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 \"children\",\n AVG(CASE WHEN \"children\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m4\"\nGROUP BY \"children\"\nORDER BY condition_rate DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"children\\\",\\n AVG(CASE WHEN \\\"children\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY condition_rate DESC;\", \"columns\": [\"children\", \"condition_rate\"], \"rows\": [{\"children\": \"1\", \"condition_rate\": 1.0}, {\"children\": \"5\", \"condition_rate\": 0.0}, {\"children\": \"4\", \"condition_rate\": 0.0}, {\"children\": \"3\", \"condition_rate\": 0.0}, {\"children\": \"2\", \"condition_rate\": 0.0}, {\"children\": \"0\", \"condition_rate\": 0.0}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 2.74}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ba1258baff422465130c74f5e9de56061fc3d1e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:53:47.112205+00:00", + "ended_at": "2026-05-19T15:54:00.468655+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_f42a450393ee7de9", + "problem_id": "v2p_m4_dc485ffeacf5fdd3", + "dataset_id": "m4", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "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=children, condition_col=children.", + "bindings": { + "group_col": "children", + "condition_col": "children", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=97" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_f42a450393ee7de9.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_f42a450393ee7de9", + "api_calls": 0, + "input_tokens": 13731, + "cached_input_tokens": 12672, + "output_tokens": 649, + "total_tokens": 14380, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13347.97, + "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_d/m4/artifacts/v2q_m4_f42a450393ee7de9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4dc000f397d68a80461490db5b8d3f91965d18b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:54:00.463119+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13347.97, "started_at": "2026-05-19T15:53:47.113487+00:00", "ended_at": "2026-05-19T15:54:00.461495+00:00", "prompt_metrics": {"chars": 5548, "bytes_utf8": 5548, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 487, "bytes_utf8": 487, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13731, "cached_input_tokens": 12672, "output_tokens": 649, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"children\\\",\\n AVG(CASE WHEN \\\"children\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the requested template with \\\"children\\\" as both the grouping and condition column. Since the condition checks whether \\\"children\\\" = '1' within each \\\"children\\\" group, the result is a self-membership rate: 1.0 for group '1' and 0.0 for other groups.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c47e1ede995cf47cf705598f6d9647b886ac550f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f42a450393ee7de9/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_f42a450393ee7de9", + "api_calls": 0, + "input_tokens": 13731, + "cached_input_tokens": 12672, + "output_tokens": 649, + "total_tokens": 14380, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13347.97, + "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_d/m4/artifacts/v2q_m4_f42a450393ee7de9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a55dbe7ad2e035c3bd7f55a2691486be310e5dcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/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=smoker, condition_col=smoker. +Result preview: [{"smoker": "yes", "condition_ratio": 0.0}, {"smoker": "no", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..809b7d20f22705176ae3ee96b5c668addc2edd78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: direction_consistency +-- intended_facet_id: conditional_rate_shift +-- variant_semantic_role: contrastive_conditional_view +-- template_id: tpl_m4_group_ratio_two_conditions +-- query_record_id: v2q_m4_f4fa75b40ebc18e8 +-- problem_id: v2p_m4_d575ece1f5c5440a +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "smoker", + SUM(CASE WHEN "smoker" = 'no' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "smoker" = 'yes' THEN 1 ELSE 0 END) AS denominator_count + FROM "m4" + GROUP BY "smoker" +) +SELECT "smoker", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..95dda782e204a9794055492ff4831df5059eb7b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/query_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 \"smoker\",\n SUM(CASE WHEN \"smoker\" = 'no' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"smoker\" = 'yes' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m4\"\n GROUP BY \"smoker\"\n)\nSELECT \"smoker\",\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 \\\"smoker\\\",\\n SUM(CASE WHEN \\\"smoker\\\" = 'no' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"smoker\\\" = 'yes' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"smoker\\\"\\n)\\nSELECT \\\"smoker\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"smoker\", \"condition_ratio\"], \"rows\": [{\"smoker\": \"yes\", \"condition_ratio\": 0.0}, {\"smoker\": \"no\", \"condition_ratio\": null}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 1.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1f379d388bccfc68c7beb0d0d9f15dd0517d0b69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:37:00.050135+00:00", + "ended_at": "2026-05-19T15:37:10.895683+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_f4fa75b40ebc18e8", + "problem_id": "v2p_m4_d575ece1f5c5440a", + "dataset_id": "m4", + "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=smoker, condition_col=smoker.", + "bindings": { + "group_col": "smoker", + "condition_col": "smoker", + "condition_value": "no", + "positive_value": "no", + "negative_value": "yes", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=38" + ], + "template_selection_mode": "rule", + "selected_template_rank": 4, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_f4fa75b40ebc18e8.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_f4fa75b40ebc18e8", + "api_calls": 0, + "input_tokens": 13882, + "cached_input_tokens": 12672, + "output_tokens": 498, + "total_tokens": 14380, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10840.88, + "sql_execution_elapsed_ms_total": 1.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..628a48586012dcfd04035325733762923c252f76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:10.892806+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10840.88, "started_at": "2026-05-19T15:37:00.051061+00:00", "ended_at": "2026-05-19T15:37:10.891970+00:00", "prompt_metrics": {"chars": 6105, "bytes_utf8": 6105, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 716, "bytes_utf8": 716, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13882, "cached_input_tokens": 12672, "output_tokens": 498, "reasoning_output_tokens": 296}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"smoker\\\",\\n SUM(CASE WHEN \\\"smoker\\\" = 'no' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"smoker\\\" = 'yes' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m4\\\"\\n GROUP BY \\\"smoker\\\"\\n)\\nSELECT \\\"smoker\\\",\\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 \\\"smoker\\\". This is a self-grouped contrast, so the 'no' group will have a NULL ratio due to zero 'yes' denominator, and the 'yes' group will have ratio 0.0.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..32dc3eee967194ad73feffae203883998c028e3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_f4fa75b40ebc18e8", + "api_calls": 0, + "input_tokens": 13882, + "cached_input_tokens": 12672, + "output_tokens": 498, + "total_tokens": 14380, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10840.88, + "sql_execution_elapsed_ms_total": 1.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f4fa75b40ebc18e8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..169a77a6fdbbf25ad74eabfbfcc159fd6623eeb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=smoker, measure_col=children. +Result preview: [{"smoker": "yes", "percentile_measure": 3}, {"smoker": "no", "percentile_measure": 3}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..828ab3156594460659d6fa2ba70c57cfbcbcb5b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/generated_sql.sql @@ -0,0 +1,39 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: tail_rarity_structure +-- canonical_subitem_id: tail_concentration_consistency +-- intended_facet_id: rare_target_concentration +-- variant_semantic_role: focused_target_view +-- template_id: tpl_grouped_percentile_point +-- query_record_id: v2q_m4_f547dea4f026cdd2 +-- problem_id: v2p_m4_83b91388603b1842 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "smoker", + CAST("children" AS INTEGER) AS "children_value", + ROW_NUMBER() OVER ( + PARTITION BY "smoker" + ORDER BY CAST("children" AS INTEGER) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "smoker" + ) AS "cnt" + FROM "m4" + WHERE "smoker" IS NOT NULL + AND "children" IS NOT NULL +) +SELECT + "smoker", + MAX( + CASE + WHEN "rn" = ((95 * "cnt") / 100) + CASE WHEN (95 * "cnt") % 100 = 0 THEN 0 ELSE 1 END + THEN "children_value" + END + ) AS "percentile_measure" +FROM "ranked" +GROUP BY "smoker" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f8b2fabb43f1ea1571b3a2f91d9bb3b6066b7db8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/query_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 \"smoker\",\n CAST(\"children\" AS INTEGER) AS \"children_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"smoker\"\n ORDER BY CAST(\"children\" AS INTEGER)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"smoker\"\n ) AS \"cnt\"\n FROM \"m4\"\n WHERE \"smoker\" IS NOT NULL\n AND \"children\" IS NOT NULL\n)\nSELECT\n \"smoker\",\n MAX(\n CASE\n WHEN \"rn\" = ((95 * \"cnt\") / 100) + CASE WHEN (95 * \"cnt\") % 100 = 0 THEN 0 ELSE 1 END\n THEN \"children_value\"\n END\n ) AS \"percentile_measure\"\nFROM \"ranked\"\nGROUP BY \"smoker\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"smoker\\\",\\n CAST(\\\"children\\\" AS INTEGER) AS \\\"children_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"smoker\\\"\\n ORDER BY CAST(\\\"children\\\" AS INTEGER)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"smoker\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"smoker\\\" IS NOT NULL\\n AND \\\"children\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"smoker\\\",\\n MAX(\\n CASE\\n WHEN \\\"rn\\\" = ((95 * \\\"cnt\\\") / 100) + CASE WHEN (95 * \\\"cnt\\\") % 100 = 0 THEN 0 ELSE 1 END\\n THEN \\\"children_value\\\"\\n END\\n ) AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"smoker\", \"percentile_measure\"], \"rows\": [{\"smoker\": \"yes\", \"percentile_measure\": 3}, {\"smoker\": \"no\", \"percentile_measure\": 3}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 8.83}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8fee4230d0945d355754e8dca20f197af05e8841 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:47:44.424256+00:00", + "ended_at": "2026-05-19T15:48:09.010402+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_f547dea4f026cdd2", + "problem_id": "v2p_m4_83b91388603b1842", + "dataset_id": "m4", + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "family_id": "tail_rarity_structure", + "canonical_subitem_id": "tail_concentration_consistency", + "intended_facet_id": "rare_target_concentration", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=smoker, measure_col=children.", + "bindings": { + "group_col": "smoker", + "measure_col": "children", + "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": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=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_d/m4/sql/v2q_m4_f547dea4f026cdd2.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_f547dea4f026cdd2", + "api_calls": 0, + "input_tokens": 13709, + "cached_input_tokens": 12672, + "output_tokens": 1407, + "total_tokens": 15116, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 24572.68, + "sql_execution_elapsed_ms_total": 8.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7301fd7edf9112e0752fc369348f4f413e4fabec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:08.999668+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 24572.68, "started_at": "2026-05-19T15:47:44.426071+00:00", "ended_at": "2026-05-19T15:48:08.998781+00:00", "prompt_metrics": {"chars": 5478, "bytes_utf8": 5478, "lines": 180, "estimated_tokens": null}, "response_metrics": {"chars": 885, "bytes_utf8": 885, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13709, "cached_input_tokens": 12672, "output_tokens": 1407, "reasoning_output_tokens": 1138}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"smoker\\\",\\n CAST(\\\"children\\\" AS INTEGER) AS \\\"children_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"smoker\\\"\\n ORDER BY CAST(\\\"children\\\" AS INTEGER)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"smoker\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m4\\\"\\n WHERE \\\"smoker\\\" IS NOT NULL\\n AND \\\"children\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"smoker\\\",\\n MAX(\\n CASE\\n WHEN \\\"rn\\\" = ((95 * \\\"cnt\\\") / 100) + CASE WHEN (95 * \\\"cnt\\\") % 100 = 0 THEN 0 ELSE 1 END\\n THEN \\\"children_value\\\"\\n END\\n ) AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nGROUP BY \\\"smoker\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses the nearest-rank 95th percentile within each \\\"smoker\\\" group over CAST(\\\"children\\\" AS INTEGER).\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4d420a9eb2999ec21fc704b24574bb00a3065440 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_f547dea4f026cdd2", + "api_calls": 0, + "input_tokens": 13709, + "cached_input_tokens": 12672, + "output_tokens": 1407, + "total_tokens": 15116, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 24572.68, + "sql_execution_elapsed_ms_total": 8.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f547dea4f026cdd2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb66723635f451305c8cbde9a96937be9c535192 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=children, measure_col=bmi. +Result preview: [{"children": "5", "charges": "10096.97", "total_measure": 103.2, "share_within_group": 8.497813789185049}, {"children": "5", "charges": "5615.369", "total_measure": 97.2, "share_within_group": 8.00375484795336}, {"children": "5", "charges": "8965.79575", "total_measure": 96.9, "share_within_group": 7.979051900891776}, {"children": "5", "charges": "12592.5345", "total_measure": 93.5, "share_within_group": 7.699085167527152}, {"children": "4", "charges": "6059.173", "total_measure": 117.6, "share_within_group": 7.221990223292147}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..76d4871952ac95968dfb5adb1ac1a22ba5a919d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: within_group_proportion +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m4_f59a8825e516298d +-- problem_id: v2p_m4_2455ee5cefa57c11 +-- realization_mode: agent +-- source_kind: agent +SELECT "children", "charges", + SUM(CAST("bmi" AS REAL)) AS "total_measure", + SUM(CAST("bmi" AS REAL)) * 100.0 / SUM(SUM(CAST("bmi" AS REAL))) OVER (PARTITION BY "children") AS "share_within_group" +FROM "m4" +GROUP BY "children", "charges" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fc1869ae305efa4dc2caf8b8977bf268a31eab7a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"children\", \"charges\",\n SUM(CAST(\"bmi\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"bmi\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"bmi\" AS REAL))) OVER (PARTITION BY \"children\") AS \"share_within_group\"\nFROM \"m4\"\nGROUP BY \"children\", \"charges\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"children\\\", \\\"charges\\\",\\n SUM(CAST(\\\"bmi\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"bmi\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"bmi\\\" AS REAL))) OVER (PARTITION BY \\\"children\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\", \\\"charges\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"children\", \"charges\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"children\": \"5\", \"charges\": \"10096.97\", \"total_measure\": 103.2, \"share_within_group\": 8.497813789185049}, {\"children\": \"5\", \"charges\": \"5615.369\", \"total_measure\": 97.2, \"share_within_group\": 8.00375484795336}, {\"children\": \"5\", \"charges\": \"8965.79575\", \"total_measure\": 96.9, \"share_within_group\": 7.979051900891776}, {\"children\": \"5\", \"charges\": \"12592.5345\", \"total_measure\": 93.5, \"share_within_group\": 7.699085167527152}, {\"children\": \"4\", \"charges\": \"6059.173\", \"total_measure\": 117.6, \"share_within_group\": 7.221990223292147}, {\"children\": \"5\", \"charges\": \"6666.243\", \"total_measure\": 84.8, \"share_within_group\": 6.982699702741203}, {\"children\": \"5\", \"charges\": \"4830.63\", \"total_measure\": 74.0, \"share_within_group\": 6.093393608524163}, {\"children\": \"5\", \"charges\": \"8596.8278\", \"total_measure\": 68.64, \"share_within_group\": 5.652034287690521}, {\"children\": \"5\", \"charges\": \"6653.7886\", \"total_measure\": 66.88, \"share_within_group\": 5.507110331595892}, {\"children\": \"5\", \"charges\": \"11552.904\", \"total_measure\": 63.8, \"share_within_group\": 5.253493408430292}, {\"children\": \"4\", \"charges\": \"10977.2063\", \"total_measure\": 82.94, \"share_within_group\": 5.093468274828663}, {\"children\": \"4\", \"charges\": \"11033.6617\", \"total_measure\": 82.46, \"share_within_group\": 5.063990763713184}, {\"children\": \"5\", \"charges\": \"4915.05985\", \"total_measure\": 60.23, \"share_within_group\": 4.959528338397437}, {\"children\": \"5\", \"charges\": \"9222.4026\", \"total_measure\": 59.28, \"share_within_group\": 4.881302339369086}, {\"children\": \"4\", \"charges\": \"19496.71917\", \"total_measure\": 79.42, \"share_within_group\": 4.8772998599818225}, {\"children\": \"5\", \"charges\": \"4687.797\", \"total_measure\": 57.2, \"share_within_group\": 4.7100285730754345}, {\"children\": \"5\", \"charges\": \"6799.458\", \"total_measure\": 57.0, \"share_within_group\": 4.693559941701045}, {\"children\": \"4\", \"charges\": \"10736.87075\", \"total_measure\": 71.25, \"share_within_group\": 4.375568056203788}, {\"children\": \"5\", \"charges\": \"14478.33015\", \"total_measure\": 51.04, \"share_within_group\": 4.202794726744234}, {\"children\": \"4\", \"charges\": \"40182.246\", \"total_measure\": 68.2, \"share_within_group\": 4.188263037657521}, {\"children\": \"4\", \"charges\": \"11299.343\", \"total_measure\": 67.4, \"share_within_group\": 4.139133852465058}, {\"children\": \"4\", \"charges\": \"12949.1554\", \"total_measure\": 67.32, \"share_within_group\": 4.1342209339458105}, {\"children\": \"4\", \"charges\": \"4504.6624\", \"total_measure\": 67.32, \"share_within_group\": 4.1342209339458105}, {\"children\": \"4\", \"charges\": \"17128.42608\", \"total_measure\": 67.26, \"share_within_group\": 4.130536245056376}, {\"children\": \"4\", \"charges\": \"36580.28216\", \"total_measure\": 66.66, \"share_within_group\": 4.093689356162028}, {\"children\": \"5\", \"charges\": \"9788.8659\", \"total_measure\": 48.62, \"share_within_group\": 4.003524287114119}, {\"children\": \"5\", \"charges\": \"5080.096\", \"total_measure\": 47.8, \"share_within_group\": 3.9360028984791215}, {\"children\": \"5\", \"charges\": \"8582.3023\", \"total_measure\": 47.74, \"share_within_group\": 3.931062309066805}, {\"children\": \"4\", \"charges\": \"4561.1885\", \"total_measure\": 62.7, \"share_within_group\": 3.8504998894593334}, {\"children\": \"4\", \"charges\": \"8162.71625\", \"total_measure\": 61.75, \"share_within_group\": 3.792158982043283}, {\"children\": \"4\", \"charges\": \"24671.66334\", \"total_measure\": 59.28, \"share_within_group\": 3.6404726227615516}, {\"children\": \"4\", \"charges\": \"7512.267\", \"total_measure\": 59.2, \"share_within_group\": 3.6355597042423056}, {\"children\": \"4\", \"charges\": \"15828.82173\", \"total_measure\": 58.6, \"share_within_group\": 3.5987128153479575}, {\"children\": \"4\", \"charges\": \"7243.8136\", \"total_measure\": 58.08, \"share_within_group\": 3.5667788449728564}, {\"children\": \"4\", \"charges\": \"14394.39815\", \"total_measure\": 57.57, \"share_within_group\": 3.535458989412661}, {\"children\": \"4\", \"charges\": \"10407.08585\", \"total_measure\": 56.43, \"share_within_group\": 3.4654499005134003}, {\"children\": \"4\", \"charges\": \"21472.4788\", \"total_measure\": 56.24, \"share_within_group\": 3.4537817190301903}, {\"children\": \"4\", \"charges\": \"11015.1747\", \"total_measure\": 55.86, \"share_within_group\": 3.4304453560637698}, {\"children\": \"4\", \"charges\": \"4877.98105\", \"total_measure\": 53.39, \"share_within_group\": 3.2787589967820385}, {\"children\": \"4\", \"charges\": \"17942.106\", \"total_measure\": 51.4, \"share_within_group\": 3.156550148615785}, {\"children\": \"4\", \"charges\": \"5708.867\", \"total_measure\": 51.2, \"share_within_group\": 3.1442678523176695}, {\"children\": \"5\", \"charges\": \"19023.26\", \"total_measure\": 36.6, \"share_within_group\": 3.0137595415133025}, {\"children\": \"4\", \"charges\": \"11520.09985\", \"total_measure\": 48.83, \"share_within_group\": 2.998722641184996}, {\"children\": \"3\", \"charges\": \"12495.29085\", \"total_measure\": 143.26, \"share_within_group\": 1.445913975889995}, {\"children\": \"3\", \"charges\": \"35595.5898\", \"total_measure\": 124.08, \"share_within_group\": 1.2523314681588062}, {\"children\": \"2\", \"charges\": \"47269.854\", \"total_measure\": 167.2, \"share_within_group\": 1.0861543898306847}, {\"children\": \"3\", \"charges\": \"9101.798\", \"total_measure\": 102.8, \"share_within_group\": 1.0375537953475604}, {\"children\": \"2\", \"charges\": \"4673.3922\", \"total_measure\": 148.72, \"share_within_group\": 0.9661057467441353}, {\"children\": \"2\", \"charges\": \"49577.6624\", \"total_measure\": 147.84, \"share_within_group\": 0.9603891446923948}, {\"children\": \"3\", \"charges\": \"6435.6237\", \"total_measure\": 93.06, \"share_within_group\": 0.9392486011191047}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 14.2}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e00d29010bf5bc138aac42cba0e015938442d78f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:32:30.174674+00:00", + "ended_at": "2026-05-19T15:32:45.247596+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_f59a8825e516298d", + "problem_id": "v2p_m4_2455ee5cefa57c11", + "dataset_id": "m4", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "within_group_proportion", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=children, measure_col=bmi.", + "bindings": { + "group_col": "children", + "measure_col": "bmi", + "item_col": "charges", + "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": 33.11, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=2/2", + "binding_index=25" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 2, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_f59a8825e516298d.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_f59a8825e516298d", + "api_calls": 0, + "input_tokens": 13788, + "cached_input_tokens": 12032, + "output_tokens": 677, + "total_tokens": 14465, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15051.88, + "sql_execution_elapsed_ms_total": 14.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f41f4b60fef0f9ab08f4b0aa2e30be3cde4a6013 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:45.230014+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15051.88, "started_at": "2026-05-19T15:32:30.176354+00:00", "ended_at": "2026-05-19T15:32:45.228279+00:00", "prompt_metrics": {"chars": 5706, "bytes_utf8": 5706, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 564, "bytes_utf8": 564, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13788, "cached_input_tokens": 12032, "output_tokens": 677, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"children\\\", \\\"charges\\\",\\n SUM(CAST(\\\"bmi\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"bmi\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"bmi\\\" AS REAL))) OVER (PARTITION BY \\\"children\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"children\\\", \\\"charges\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the planned template with group_col=\\\"children\\\", item_col=\\\"charges\\\", and measure_col=\\\"bmi\\\". Cast \\\"bmi\\\" to REAL because the schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f8f0962f145461dd777ac498fe7bac74fd86dcc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_f59a8825e516298d", + "api_calls": 0, + "input_tokens": 13788, + "cached_input_tokens": 12032, + "output_tokens": 677, + "total_tokens": 14465, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15051.88, + "sql_execution_elapsed_ms_total": 14.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_f59a8825e516298d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e6662de4292e6537855e620ae41f3166b0dfa45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/final_answer.txt @@ -0,0 +1,2 @@ +SQL executed successfully for: Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=sex, measure_col=age. +Result preview: [{"sex": "male", "bmi": "32.3", "total_measure": 792.0, "share_within_group": 1.4537444933920705}, {"sex": "male", "bmi": "25.46", "total_measure": 534.0, "share_within_group": 0.9801762114537445}, {"sex": "male", "bmi": "24.32", "total_measure": 524.0, "share_within_group": 0.9618208516886931}, {"sex": "male", "bmi": "30.875", "total_measure": 520.0, "share_within_group": 0.9544787077826725}, {"sex": "female", "bmi": "32.3", "total_measure": 514.0, "share_within_group": 0.9530519913965735}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d3cfafa403c10d8de5470ee705652adb9f88cd42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_d +-- sql_source_dataset_id: m4 +-- family_id: conditional_dependency_structure +-- canonical_subitem_id: dependency_strength_similarity +-- intended_facet_id: pairwise_conditional_dependency +-- variant_semantic_role: focused_target_view +-- template_id: tpl_tpcds_within_group_share +-- query_record_id: v2q_m4_fc2bd89aaf2e9d29 +-- problem_id: v2p_m4_279cf33dd473c346 +-- realization_mode: agent +-- source_kind: agent +SELECT "sex", "bmi", + SUM(CAST("age" AS REAL)) AS "total_measure", + SUM(CAST("age" AS REAL)) * 100.0 / SUM(SUM(CAST("age" AS REAL))) OVER (PARTITION BY "sex") AS "share_within_group" +FROM "m4" +GROUP BY "sex", "bmi" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d348ab86c71f7ff2a685bf473693432996bfee94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT \"sex\", \"bmi\",\n SUM(CAST(\"age\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"age\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"age\" AS REAL))) OVER (PARTITION BY \"sex\") AS \"share_within_group\"\nFROM \"m4\"\nGROUP BY \"sex\", \"bmi\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"sex\\\", \\\"bmi\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"age\\\" AS REAL))) OVER (PARTITION BY \\\"sex\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\", \\\"bmi\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"sex\", \"bmi\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"sex\": \"male\", \"bmi\": \"32.3\", \"total_measure\": 792.0, \"share_within_group\": 1.4537444933920705}, {\"sex\": \"male\", \"bmi\": \"25.46\", \"total_measure\": 534.0, \"share_within_group\": 0.9801762114537445}, {\"sex\": \"male\", \"bmi\": \"24.32\", \"total_measure\": 524.0, \"share_within_group\": 0.9618208516886931}, {\"sex\": \"male\", \"bmi\": \"30.875\", \"total_measure\": 520.0, \"share_within_group\": 0.9544787077826725}, {\"sex\": \"female\", \"bmi\": \"32.3\", \"total_measure\": 514.0, \"share_within_group\": 0.9530519913965735}, {\"sex\": \"male\", \"bmi\": \"33.63\", \"total_measure\": 510.0, \"share_within_group\": 0.9361233480176211}, {\"sex\": \"female\", \"bmi\": \"29.92\", \"total_measure\": 494.0, \"share_within_group\": 0.9159682563227768}, {\"sex\": \"male\", \"bmi\": \"31.35\", \"total_measure\": 456.0, \"share_within_group\": 0.8370044052863436}, {\"sex\": \"female\", \"bmi\": \"32.965\", \"total_measure\": 450.0, \"share_within_group\": 0.8343840391604243}, {\"sex\": \"female\", \"bmi\": \"27.5\", \"total_measure\": 448.0, \"share_within_group\": 0.8306756656530446}, {\"sex\": \"female\", \"bmi\": \"26.6\", \"total_measure\": 444.0, \"share_within_group\": 0.8232589186382853}, {\"sex\": \"male\", \"bmi\": \"30.8\", \"total_measure\": 440.0, \"share_within_group\": 0.8076358296622613}, {\"sex\": \"male\", \"bmi\": \"32.11\", \"total_measure\": 438.0, \"share_within_group\": 0.8039647577092511}, {\"sex\": \"female\", \"bmi\": \"30.495\", \"total_measure\": 428.0, \"share_within_group\": 0.7935919305792479}, {\"sex\": \"male\", \"bmi\": \"29.83\", \"total_measure\": 432.0, \"share_within_group\": 0.7929515418502202}, {\"sex\": \"female\", \"bmi\": \"38.06\", \"total_measure\": 416.0, \"share_within_group\": 0.77134168953497}, {\"sex\": \"male\", \"bmi\": \"34.1\", \"total_measure\": 414.0, \"share_within_group\": 0.7599118942731278}, {\"sex\": \"male\", \"bmi\": \"26.41\", \"total_measure\": 412.0, \"share_within_group\": 0.7562408223201175}, {\"sex\": \"male\", \"bmi\": \"28.31\", \"total_measure\": 412.0, \"share_within_group\": 0.7562408223201175}, {\"sex\": \"female\", \"bmi\": \"23.18\", \"total_measure\": 406.0, \"share_within_group\": 0.7527998219980716}, {\"sex\": \"female\", \"bmi\": \"27.83\", \"total_measure\": 402.0, \"share_within_group\": 0.7453830749833124}, {\"sex\": \"female\", \"bmi\": \"32.395\", \"total_measure\": 398.0, \"share_within_group\": 0.737966327968553}, {\"sex\": \"male\", \"bmi\": \"32.775\", \"total_measure\": 402.0, \"share_within_group\": 0.737885462555066}, {\"sex\": \"female\", \"bmi\": \"31.825\", \"total_measure\": 396.0, \"share_within_group\": 0.7342579544611734}, {\"sex\": \"female\", \"bmi\": \"34.8\", \"total_measure\": 392.0, \"share_within_group\": 0.726841207446414}, {\"sex\": \"female\", \"bmi\": \"27.645\", \"total_measure\": 380.0, \"share_within_group\": 0.704590966402136}, {\"sex\": \"female\", \"bmi\": \"30.78\", \"total_measure\": 380.0, \"share_within_group\": 0.704590966402136}, {\"sex\": \"female\", \"bmi\": \"32.68\", \"total_measure\": 378.0, \"share_within_group\": 0.7008825928947564}, {\"sex\": \"female\", \"bmi\": \"35.815\", \"total_measure\": 376.0, \"share_within_group\": 0.6971742193873767}, {\"sex\": \"male\", \"bmi\": \"30.2\", \"total_measure\": 378.0, \"share_within_group\": 0.6938325991189427}, {\"sex\": \"male\", \"bmi\": \"33.66\", \"total_measure\": 378.0, \"share_within_group\": 0.6938325991189427}, {\"sex\": \"female\", \"bmi\": \"25.08\", \"total_measure\": 370.0, \"share_within_group\": 0.6860490988652377}, {\"sex\": \"male\", \"bmi\": \"28.595\", \"total_measure\": 370.0, \"share_within_group\": 0.6791483113069016}, {\"sex\": \"female\", \"bmi\": \"27.74\", \"total_measure\": 364.0, \"share_within_group\": 0.6749239783430987}, {\"sex\": \"female\", \"bmi\": \"39.82\", \"total_measure\": 362.0, \"share_within_group\": 0.6712156048357191}, {\"sex\": \"female\", \"bmi\": \"35.2\", \"total_measure\": 354.0, \"share_within_group\": 0.6563821108062003}, {\"sex\": \"female\", \"bmi\": \"25.8\", \"total_measure\": 350.0, \"share_within_group\": 0.6489653637914411}, {\"sex\": \"male\", \"bmi\": \"34.21\", \"total_measure\": 340.0, \"share_within_group\": 0.6240822320117474}, {\"sex\": \"male\", \"bmi\": \"36.1\", \"total_measure\": 340.0, \"share_within_group\": 0.6240822320117474}, {\"sex\": \"male\", \"bmi\": \"29.7\", \"total_measure\": 336.0, \"share_within_group\": 0.6167400881057269}, {\"sex\": \"male\", \"bmi\": \"29.64\", \"total_measure\": 334.0, \"share_within_group\": 0.6130690161527166}, {\"sex\": \"female\", \"bmi\": \"27.72\", \"total_measure\": 326.0, \"share_within_group\": 0.6044648817028851}, {\"sex\": \"male\", \"bmi\": \"28.975\", \"total_measure\": 324.0, \"share_within_group\": 0.5947136563876652}, {\"sex\": \"female\", \"bmi\": \"28.785\", \"total_measure\": 318.0, \"share_within_group\": 0.5896313876733664}, {\"sex\": \"female\", \"bmi\": \"31.9\", \"total_measure\": 314.0, \"share_within_group\": 0.5822146406586072}, {\"sex\": \"male\", \"bmi\": \"27.36\", \"total_measure\": 314.0, \"share_within_group\": 0.5763582966226138}, {\"sex\": \"male\", \"bmi\": \"37.1\", \"total_measure\": 308.0, \"share_within_group\": 0.5653450807635829}, {\"sex\": \"female\", \"bmi\": \"39.05\", \"total_measure\": 304.0, \"share_within_group\": 0.5636727731217088}, {\"sex\": \"male\", \"bmi\": \"36.08\", \"total_measure\": 304.0, \"share_within_group\": 0.5580029368575624}, {\"sex\": \"female\", \"bmi\": \"25.3\", \"total_measure\": 300.0, \"share_within_group\": 0.5562560261069495}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 4.62}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..518a6684b4963b4d567c7d36575a8847e4ae2ab3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:31:56.454168+00:00", + "ended_at": "2026-05-19T15:32:19.486045+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_fc2bd89aaf2e9d29", + "problem_id": "v2p_m4_279cf33dd473c346", + "dataset_id": "m4", + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "dependency_strength_similarity", + "intended_facet_id": "pairwise_conditional_dependency", + "variant_semantic_role": "focused_target_view", + "subitem_assignment_source": "planner_selected", + "source_kind": "agent", + "realization_mode": "agent", + "gate_priority": "primary", + "extended_family": false, + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=sex, measure_col=age.", + "bindings": { + "group_col": "sex", + "measure_col": "age", + "item_col": "bmi", + "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": 47.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=24" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/sql/v2q_m4_fc2bd89aaf2e9d29.sql", + "usage_summary": { + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_fc2bd89aaf2e9d29", + "api_calls": 0, + "input_tokens": 13787, + "cached_input_tokens": 12032, + "output_tokens": 679, + "total_tokens": 14466, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23023.28, + "sql_execution_elapsed_ms_total": 4.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cee7756ed82dca229a6fd3748c9b0b46ea0cfdb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:32:19.479910+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 23023.28, "started_at": "2026-05-19T15:31:56.455867+00:00", "ended_at": "2026-05-19T15:32:19.479185+00:00", "prompt_metrics": {"chars": 5686, "bytes_utf8": 5686, "lines": 182, "estimated_tokens": null}, "response_metrics": {"chars": 544, "bytes_utf8": 544, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13787, "cached_input_tokens": 12032, "output_tokens": 679, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"sex\\\", \\\"bmi\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"age\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"age\\\" AS REAL))) OVER (PARTITION BY \\\"sex\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m4\\\"\\nGROUP BY \\\"sex\\\", \\\"bmi\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"sex\\\", item_col=\\\"bmi\\\", and measure_col=\\\"age\\\". Cast \\\"age\\\" to REAL because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4ac8f62a6fbd7b28d7aba038ce680c8666dc1c94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_fc2bd89aaf2e9d29", + "api_calls": 0, + "input_tokens": 13787, + "cached_input_tokens": 12032, + "output_tokens": 679, + "total_tokens": 14466, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23023.28, + "sql_execution_elapsed_ms_total": 4.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_fc2bd89aaf2e9d29/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d4b8f1cb064bcd968906808d655bc5bb99a1d594 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5596, "bytes_utf8": 5596, "lines": 184, "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": 423, "bytes_utf8": 423, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13765, "cached_input_tokens": 12032, "output_tokens": 308, "reasoning_output_tokens": 189}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2c1704620fafc5364a54e3aeed410c5230f79c32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/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": "m4", + "model": "v2-cli:codex", + "run_id": "v2q_m4_ff564489d1b73a10", + "api_calls": 0, + "input_tokens": 13765, + "cached_input_tokens": 12032, + "output_tokens": 308, + "total_tokens": 14073, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8556.15, + "sql_execution_elapsed_ms_total": 2.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..da68912d8acc2ab80f23dac1edc721cf67fe0350 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/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": "2026-05-19T15:38:33.058606+00:00", + "ended_at": "2026-05-19T15:38:41.614785+00:00", + "elapsed_ms": 8556.15, + "prompt_metrics": { + "chars": 5596, + "bytes_utf8": 5596, + "lines": 184, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 790, + "bytes_utf8": 790, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 423, + "bytes_utf8": 423, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13765, + "cached_input_tokens": 12032, + "output_tokens": 308, + "reasoning_output_tokens": 189 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b8e4224593b713cef156dadfbaf235f2c796d1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,184 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m4 +- dataset_name: Medical Insurance Charges +- table_name: m4 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one insured individual/profile with associated medical insurance charge. +- task_type: regression +- target_column: charges +- main_row_count: 2772 +- important_fields: +- age: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Age in years. +- sex: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Biological sex category. +- bmi: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Body mass index. +- children: role=feature, type=numeric_discrete. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Number of dependent children. +- smoker: role=feature, type=categorical_binary. tags=['condition_candidate', 'subgroup_candidate'] desc=Smoking status. +- region: role=feature, type=categorical_nominal. tags=['condition_candidate', 'subgroup_candidate'] desc=Residential region category. +- charges: role=target, type=numeric_target. tags=['target_candidate'] desc=Medical insurance charges. +- useful_field_combinations: [['smoker', 'bmi', 'charges'], ['age', 'children', 'charges'], ['region', 'smoker', 'charges']] +- fields_requiring_caution: ['charges', 'smoker', 'sex'] +- source_url: https://huggingface.co/datasets/rahulvyasm/medical_insurance_data + +SQLite schema snapshot: +{ + "table_name": "m4", + "quoted_table_name": "\"m4\"", + "row_count": 2772, + "columns": [ + { + "name": "age", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sex", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "bmi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "children", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "smoker", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "region", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "charges", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "age": "19", + "sex": "female", + "bmi": "27.9", + "children": "0", + "smoker": "yes", + "region": "southwest", + "charges": "16884.924" + }, + { + "age": "18", + "sex": "male", + "bmi": "33.77", + "children": "1", + "smoker": "no", + "region": "southeast", + "charges": "1725.5523" + }, + { + "age": "28", + "sex": "male", + "bmi": "33", + "children": "3", + "smoker": "no", + "region": "southeast", + "charges": "4449.462" + }, + { + "age": "33", + "sex": "male", + "bmi": "22.705", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "21984.47061" + }, + { + "age": "32", + "sex": "male", + "bmi": "28.88", + "children": "0", + "smoker": "no", + "region": "northwest", + "charges": "3866.8552" + } + ] +} + +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": "m4", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=sex, group_col_2=smoker.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "sex", + "group_col_2": "smoker", + "predicate_col": "age", + "predicate_op": ">=", + "predicate_value": 51.0, + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 34.77, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "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_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd1f7d3564e37452aa85a6f479d996796ac895c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-85e7-70d1-be9e-66aa21a56b66"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"sex\\\", \\\"smoker\\\", COUNT(*) AS row_count\\nFROM \\\"m4\\\"\\nWHERE CAST(\\\"age\\\" AS REAL) >= 51.0\\nGROUP BY \\\"sex\\\", \\\"smoker\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the planned filtered two-dimensional group count template with group_col=\\\"sex\\\", group_col_2=\\\"smoker\\\", and a numeric age predicate. CAST was used because the schema stores \\\"age\\\" as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13765,"cached_input_tokens":12032,"output_tokens":308,"reasoning_output_tokens":189}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..648057814b502220b30b145bb126230b57381bf8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"sex\", \"smoker\", COUNT(*) AS row_count\nFROM \"m4\"\nWHERE CAST(\"age\" AS REAL) >= 51.0\nGROUP BY \"sex\", \"smoker\"\nORDER BY row_count DESC;","notes":"Applied the planned filtered two-dimensional group count template with group_col=\"sex\", group_col_2=\"smoker\", and a numeric age predicate. CAST was used because the schema stores \"age\" as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff564489d1b73a10/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff97440080aa89e8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff97440080aa89e8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..adb6e0c75356a7e2aca4c1ec651dfdfedd0ff91d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff97440080aa89e8/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_d", + "dataset_id": "m4", + "started_at": "2026-05-19T15:55:09.966396+00:00", + "ended_at": "2026-05-19T15:55:17.086977+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_m4_ff97440080aa89e8", + "problem_id": "v2p_m4_95e25abcbdd12450", + "dataset_id": "m4", + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "family_id": "conditional_dependency_structure", + "canonical_subitem_id": "direction_consistency", + "intended_facet_id": "conditional_rate_shift", + "variant_semantic_role": "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=children, condition_col=sex.", + "bindings": { + "group_col": "children", + "condition_col": "sex", + "condition_value": "female", + "positive_value": "male", + "negative_value": "female", + "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", + "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", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff97440080aa89e8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff97440080aa89e8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0aabc6d1bb35d345f1e87ae4d83ac3809525f9da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/m4/artifacts/v2q_m4_ff97440080aa89e8/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:55:13.306078+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": 3337.52, "started_at": "2026-05-19T15:55:09.967654+00:00", "ended_at": "2026-05-19T15:55:13.305197+00:00", "prompt_metrics": {"chars": 5549, "bytes_utf8": 5549, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f2-bc2d-72b1-abf4-fa924f366270\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:55:17.086895+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": 2778.87, "started_at": "2026-05-19T15:55:14.307338+00:00", "ended_at": "2026-05-19T15:55:17.086251+00:00", "prompt_metrics": {"chars": 5549, "bytes_utf8": 5549, "lines": 183, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40f2-cd14-7721-9d82-b4ae1f4f61cb\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..78100378ad61e885fc660d5a72b1f041da8a03bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11303, "bytes_utf8": 11303, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 604, "bytes_utf8": 604, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15505, "cached_input_tokens": 14720, "output_tokens": 528, "reasoning_output_tokens": 364}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..81bc0e30623318171a187d8c731893ac91b666d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_996a135f9a1da279", + "api_calls": 0, + "input_tokens": 15505, + "cached_input_tokens": 14720, + "output_tokens": 528, + "total_tokens": 16033, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19457.79, + "sql_execution_elapsed_ms_total": 79.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cf7b077188dbf9eceecc1ad0039163e211019894 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/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": "2026-05-19T15:33:16.409545+00:00", + "ended_at": "2026-05-19T15:33:35.867367+00:00", + "elapsed_ms": 19457.79, + "prompt_metrics": { + "chars": 11303, + "bytes_utf8": 11303, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1654, + "bytes_utf8": 1654, + "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": 604, + "bytes_utf8": 604, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15505, + "cached_input_tokens": 14720, + "output_tokens": 528, + "reasoning_output_tokens": 364 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc87653fc4b986d5eff4e47edc9458bd714add6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,302 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=Class, measure_col=Extent.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "Class", + "measure_col": "Extent", + "item_col": "Solidity", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.786851, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd2a240b877792fdb53db96084be258d1d0e7815 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40de-b122-7c92-824d-97806e170ab2"} +{"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 16140. Please try again in 484ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 16140. Please try again in 484ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"Class\\\", \\\"Solidity\\\",\\n SUM(CAST(\\\"Extent\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"Extent\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"Extent\\\" AS REAL))) OVER (PARTITION BY \\\"Class\\\") AS share_within_group\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\", \\\"Solidity\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided Within-Group Share of Total template with group_col=\\\"Class\\\", item_col=\\\"Solidity\\\", and measure_col=\\\"Extent\\\". CAST(\\\"Extent\\\" AS REAL) is applied because the SQLite schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15505,"cached_input_tokens":14720,"output_tokens":528,"reasoning_output_tokens":364}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0098919ca2526565adab788428936f49e5950991 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"Class\", \"Solidity\",\n SUM(CAST(\"Extent\" AS REAL)) AS total_measure,\n SUM(CAST(\"Extent\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Extent\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"Solidity\"\nORDER BY share_within_group DESC;","notes":"Used the provided Within-Group Share of Total template with group_col=\"Class\", item_col=\"Solidity\", and measure_col=\"Extent\". CAST(\"Extent\" AS REAL) is applied because the SQLite schema stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_996a135f9a1da279/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f1b0c1920e63c6932b06063a710ac9b0ea5a5fa1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "n10", + "model": "v2-cli:codex", + "run_id": "v2q_n10_d428f60641c50489", + "api_calls": 0, + "input_tokens": 15399, + "cached_input_tokens": 14720, + "output_tokens": 270, + "total_tokens": 15669, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9137.87, + "sql_execution_elapsed_ms_total": 10.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..306970d1d8e71d4e3f14432384b194f4e9aed63c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:40.871288+00:00", + "ended_at": "2026-05-19T16:00:50.009184+00:00", + "elapsed_ms": 9137.87, + "prompt_metrics": { + "chars": 10886, + "bytes_utf8": 10886, + "lines": 298, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 702, + "bytes_utf8": 702, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 345, + "bytes_utf8": 345, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15399, + "cached_input_tokens": 14720, + "output_tokens": 270, + "reasoning_output_tokens": 174 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..96c2b116cf6d7ab82ff829a808d7a835f9493916 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,298 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n10 +- dataset_name: Dry Bean Dataset +- table_name: n10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 16 feature columns and target `Class`. +- task_type: classification +- target_column: Class +- main_row_count: 13611 +- important_fields: +- Area: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for Area. +- Perimeter: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Perimeter. +- MajorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MajorAxisLength. +- MinorAxisLength: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for MinorAxisLength. +- AspectRation: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for AspectRation. +- Eccentricity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Eccentricity. +- ConvexArea: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ConvexArea. +- EquivDiameter: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for EquivDiameter. +- Extent: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Extent. +- Solidity: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Solidity. +- roundness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for roundness. +- Compactness: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for Compactness. +- ShapeFactor1: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor1. +- ShapeFactor2: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor2. +- ShapeFactor3: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor3. +- ShapeFactor4: role=feature, type=identifier_numeric. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for ShapeFactor4. +- Class: role=target, type=categorical_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for Class. +- useful_field_combinations: [['Class', 'Area', 'Class'], ['Area', 'ConvexArea', 'Class']] +- fields_requiring_caution: ['Class', 'Area', 'ConvexArea', 'EquivDiameter'] +- source_url: https://archive.ics.uci.edu/dataset/602/dry+bean+dataset + +SQLite schema snapshot: +{ + "table_name": "n10", + "quoted_table_name": "\"n10\"", + "row_count": 13611, + "columns": [ + { + "name": "Area", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Perimeter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MajorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "MinorAxisLength", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "AspectRation", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Eccentricity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ConvexArea", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "EquivDiameter", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Extent", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Solidity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "roundness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Compactness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor1", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor2", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor3", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ShapeFactor4", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "Class", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "Area": "28395", + "Perimeter": "610.29099999999983", + "MajorAxisLength": "208.17811670852728", + "MinorAxisLength": "173.88874704163598", + "AspectRation": "1.1971914241160242", + "Eccentricity": "0.54981218713834723", + "ConvexArea": "28715", + "EquivDiameter": "190.14109727451071", + "Extent": "0.76392251815980627", + "Solidity": "0.9888559986069998", + "roundness": "0.95802712625012765", + "Compactness": "0.91335775479576264", + "ShapeFactor1": "7.3315061351832116E-3", + "ShapeFactor2": "3.1472891673356902E-3", + "ShapeFactor3": "0.83422238824555639", + "ShapeFactor4": "0.99872388901316844", + "Class": "SEKER" + }, + { + "Area": "28734", + "Perimeter": "638.01799999999992", + "MajorAxisLength": "200.52479566364806", + "MinorAxisLength": "182.73441935102403", + "AspectRation": "1.0973564606810586", + "Eccentricity": "0.41178525136724037", + "ConvexArea": "29172", + "EquivDiameter": "191.2727504858446", + "Extent": "0.78396813270762855", + "Solidity": "0.98498560263266144", + "roundness": "0.88703363655288692", + "Compactness": "0.95386084226051293", + "ShapeFactor1": "6.9786592769418825E-3", + "ShapeFactor2": "3.563623712100963E-3", + "ShapeFactor3": "0.90985050639793519", + "ShapeFactor4": "0.99843033144970694", + "Class": "SEKER" + }, + { + "Area": "29380", + "Perimeter": "624.11", + "MajorAxisLength": "212.82612986020646", + "MinorAxisLength": "175.93114261271373", + "AspectRation": "1.2097126563243641", + "Eccentricity": "0.56272731675041165", + "ConvexArea": "29690", + "EquivDiameter": "193.41090409881002", + "Extent": "0.77811324752370359", + "Solidity": "0.98955877399797909", + "roundness": "0.9478494730164112", + "Compactness": "0.90877423851033134", + "ShapeFactor1": "7.243911840034257E-3", + "ShapeFactor2": "3.0477332172131732E-3", + "ShapeFactor3": "0.82587061658003247", + "ShapeFactor4": "0.99906613736327154", + "Class": "SEKER" + }, + { + "Area": "30008", + "Perimeter": "645.8839999999999", + "MajorAxisLength": "210.55799896092509", + "MinorAxisLength": "182.51651569530466", + "AspectRation": "1.1536380593218929", + "Eccentricity": "0.49861597640271654", + "ConvexArea": "30724", + "EquivDiameter": "195.46706182478101", + "Extent": "0.78268127282211786", + "Solidity": "0.97669574274183046", + "roundness": "0.90393637431733753", + "Compactness": "0.92832883475994366", + "ShapeFactor1": "7.0167288376741235E-3", + "ShapeFactor2": "3.2145620793900551E-3", + "ShapeFactor3": "0.86179442544675466", + "ShapeFactor4": "0.99419884850682005", + "Class": "SEKER" + }, + { + "Area": "30140", + "Perimeter": "620.1339999999999", + "MajorAxisLength": "201.84788216673786", + "MinorAxisLength": "190.27927878664835", + "AspectRation": "1.0607980199097815", + "Eccentricity": "0.33367965777317699", + "ConvexArea": "30417", + "EquivDiameter": "195.89650297623436", + "Extent": "0.77309803519212028", + "Solidity": "0.99089325048492616", + "roundness": "0.98487706935090946", + "Compactness": "0.97051552324147095", + "ShapeFactor1": "6.6970100254392121E-3", + "ShapeFactor2": "3.6649719644516834E-3", + "ShapeFactor3": "0.94190038085266625", + "ShapeFactor4": "0.99916605896077737", + "Class": "SEKER" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n10", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=Class.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "Class", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.786851, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..62fca653bea64ba830c70eda9a0453df9e86f0a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-c8c1-70f2-9295-647af7b1980f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"Class\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n10\\\"\\nGROUP BY \\\"Class\\\"\\nORDER BY \\\"support\\\" ASC, \\\"Class\\\"\\nLIMIT 10;\",\"notes\":\"Applies the planned Low-Support Group Count template with group_col bound to Class, returning the 10 least-supported classes by row count.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15399,"cached_input_tokens":14720,"output_tokens":270,"reasoning_output_tokens":174}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef563db081f856a73c6ba9435e2b1dd95e506709 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"Class\",\n COUNT(*) AS \"support\"\nFROM \"n10\"\nGROUP BY \"Class\"\nORDER BY \"support\" ASC, \"Class\"\nLIMIT 10;","notes":"Applies the planned Low-Support Group Count template with group_col bound to Class, returning the 10 least-supported classes by row count."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_d428f60641c50489/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3229bf29064238d14651ee938ffbe846b496335f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11319, "bytes_utf8": 11319, "lines": 302, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 633, "bytes_utf8": 633, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15508, "cached_input_tokens": 12032, "output_tokens": 599, "reasoning_output_tokens": 428}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ed06ebaeec82a5238a5056cd9ae3752bbbe28ef9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:05.151583+00:00", + "ended_at": "2026-05-19T15:35:19.718688+00:00", + "elapsed_ms": 14567.07, + "prompt_metrics": { + "chars": 11319, + "bytes_utf8": 11319, + "lines": 302, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1017, + "bytes_utf8": 1017, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 633, + "bytes_utf8": 633, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15508, + "cached_input_tokens": 12032, + "output_tokens": 599, + "reasoning_output_tokens": 428 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5d66b616b0cb647804a085189c02262ebd790fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_d/n10/artifacts/v2q_n10_ffb1e01c75d5c8f8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share.\nSELECT \"Class\", \"ShapeFactor1\",\n SUM(CAST(\"Compactness\" AS REAL)) AS total_measure,\n SUM(CAST(\"Compactness\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"Compactness\" AS REAL))) OVER (PARTITION BY \"Class\") AS share_within_group\nFROM \"n10\"\nGROUP BY \"Class\", \"ShapeFactor1\"\nORDER BY share_within_group DESC;","notes":"Used the provided Within-Group Share of Total template with group_col=\"Class\", item_col=\"ShapeFactor1\", and measure_col=\"Compactness\". Cast \"Compactness\" to REAL because the schema stores numeric-looking values as TEXT in SQLite."} \ No newline at end of file