diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b80e9ef026f3e5baefce268a203ebbb6bcc968e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6037, "bytes_utf8": 6037, "lines": 170, "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": 680, "bytes_utf8": 680, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13808, "cached_input_tokens": 12032, "output_tokens": 689, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..40001e5931147a8d2e072ef0316b73703249663e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_118760eb21901351", + "api_calls": 0, + "input_tokens": 13808, + "cached_input_tokens": 12032, + "output_tokens": 689, + "total_tokens": 14497, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15255.69, + "sql_execution_elapsed_ms_total": 5.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3c1177200bb9ca8e1f1cf83e5af64a2d5ff25fc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/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": "2026-05-19T15:35:27.538497+00:00", + "ended_at": "2026-05-19T15:35:42.794207+00:00", + "elapsed_ms": 15255.69, + "prompt_metrics": { + "chars": 6037, + "bytes_utf8": 6037, + "lines": 170, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1062, + "bytes_utf8": 1062, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 680, + "bytes_utf8": 680, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13808, + "cached_input_tokens": 12032, + "output_tokens": 689, + "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_c/n2/artifacts/v2q_n2_118760eb21901351/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f22a5c79c7978809ab34fb8faa80bfa1ab309386 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,170 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=free_stream_velocity, measure_col=frequency.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "frequency", + "item_col": "sound_pressure_level", + "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": 3150.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_118760eb21901351/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..db37092087a85657d834d755badfe58a632dcefd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-b13d-7ec3-94c1-2b64e5af9172"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"free_stream_velocity\\\",\\n \\\"sound_pressure_level\\\",\\n SUM(CAST(\\\"frequency\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"frequency\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"frequency\\\" AS REAL))) OVER (PARTITION BY \\\"free_stream_velocity\\\") AS share_within_group\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\", \\\"sound_pressure_level\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required Within-Group Share of Total template with group_col=\\\"free_stream_velocity\\\", item_col=\\\"sound_pressure_level\\\", and measure_col=\\\"frequency\\\". CAST to REAL is applied because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13808,"cached_input_tokens":12032,"output_tokens":689,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8d5513b88bc2b69292d01fc6148126dad6a38bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"free_stream_velocity\",\n \"sound_pressure_level\",\n SUM(CAST(\"frequency\" AS REAL)) AS total_measure,\n SUM(CAST(\"frequency\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"frequency\" AS REAL))) OVER (PARTITION BY \"free_stream_velocity\") AS share_within_group\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\", \"sound_pressure_level\"\nORDER BY share_within_group DESC;","notes":"Used the required Within-Group Share of Total template with group_col=\"free_stream_velocity\", item_col=\"sound_pressure_level\", and measure_col=\"frequency\". CAST to REAL is applied 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_c/n2/artifacts/v2q_n2_118760eb21901351/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_118760eb21901351/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4360580ae454c4e28c59f8fcf90759b113d8cb78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5886, "bytes_utf8": 5886, "lines": 171, "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": 5886, "bytes_utf8": 5886, "lines": 171, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 432, "bytes_utf8": 432, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13763, "cached_input_tokens": 12672, "output_tokens": 293, "reasoning_output_tokens": 177}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..286be94e1507b05264593cf3f0443a8da66d418f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_158ac900c3ab3bb1", + "api_calls": 0, + "input_tokens": 13763, + "cached_input_tokens": 12672, + "output_tokens": 293, + "total_tokens": 14056, + "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": 13199.21, + "sql_execution_elapsed_ms_total": 0.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..846636859c79f4690d2a2d79d4b633435ab80778 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/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": "2026-05-19T15:58:36.547934+00:00", + "ended_at": "2026-05-19T15:58:39.864188+00:00", + "elapsed_ms": 3316.23, + "returncode": 1, + "prompt_metrics": { + "chars": 5886, + "bytes_utf8": 5886, + "lines": 171, + "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_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e51d1614cb42273b7c125d1a86f3915b2471bdbc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/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": "2026-05-19T15:58:40.866073+00:00", + "ended_at": "2026-05-19T15:58:50.749083+00:00", + "elapsed_ms": 9882.98, + "prompt_metrics": { + "chars": 5886, + "bytes_utf8": 5886, + "lines": 171, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 787, + "bytes_utf8": 787, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 432, + "bytes_utf8": 432, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13763, + "cached_input_tokens": 12672, + "output_tokens": 293, + "reasoning_output_tokens": 177 + } + }, + "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_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..733a0d9435c162614886deb1dde5fdc52f9be8ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,171 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=free_stream_velocity, condition_col=chord_length.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "free_stream_velocity", + "condition_col": "chord_length", + "condition_value": "0.1524", + "positive_value": "0.0254", + "negative_value": "0.1524", + "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": 4000.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..733a0d9435c162614886deb1dde5fdc52f9be8ff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,171 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=free_stream_velocity, condition_col=chord_length.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "free_stream_velocity", + "condition_col": "chord_length", + "condition_value": "0.1524", + "positive_value": "0.0254", + "negative_value": "0.1524", + "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": 4000.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..05acc81d4894698eaf17674697819783e3ac8682 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-e311-7792-bb8b-a5289d0ec540"} +{"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_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7f1ebf49705a5bcb4a720325e51f82e0b6a8274d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-e311-7792-bb8b-a5289d0ec540"} +{"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_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..936f0e5f62b79cd05dd0f972a7b9a6df42c63bc9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-f3fb-71d0-ae71-269aa89b9b90"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"free_stream_velocity\\\",\\n AVG(CASE WHEN \\\"chord_length\\\" = '0.1524' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with group_col=\\\"free_stream_velocity\\\" and condition_col=\\\"chord_length\\\", using condition_value='0.1524' exactly as bound.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13763,"cached_input_tokens":12672,"output_tokens":293,"reasoning_output_tokens":177}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a0cce340fccc3aa9d404b80c906db906af57592 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"free_stream_velocity\",\n AVG(CASE WHEN \"chord_length\" = '0.1524' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\"\nORDER BY condition_rate DESC;","notes":"Applied the Grouped Condition Rate template with group_col=\"free_stream_velocity\" and condition_col=\"chord_length\", using condition_value='0.1524' exactly as bound."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_158ac900c3ab3bb1/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fe47916801a3ed4296d60fe59022674671aeee5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5795, "bytes_utf8": 5795, "lines": 168, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 693, "bytes_utf8": 693, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13738, "cached_input_tokens": 12032, "output_tokens": 701, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..61437d004aec972b2bd18f32719d8f111859fad5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_1aed82d8732b11db", + "api_calls": 0, + "input_tokens": 13738, + "cached_input_tokens": 12032, + "output_tokens": 701, + "total_tokens": 14439, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14500.98, + "sql_execution_elapsed_ms_total": 2.48, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a98b097606f78a128f4159d7b693a9582fc79fcb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:21.540668+00:00", + "ended_at": "2026-05-19T16:03:36.041679+00:00", + "elapsed_ms": 14500.98, + "prompt_metrics": { + "chars": 5795, + "bytes_utf8": 5795, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1075, + "bytes_utf8": 1075, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 693, + "bytes_utf8": 693, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13738, + "cached_input_tokens": 12032, + "output_tokens": 701, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9567568af733e1f084c6158a7d43b5dc140bf15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n2", + "question": "Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role filtered_stable_view. Focus on group_col=free_stream_velocity, measure_col=chord_length.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "chord_length", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.1524, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..421c5b640d20b82bf86d8f8024f9019cbcf66772 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-3c4f-75b3-b3ae-5c37096e9d0d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_thresholded_group_ranking\\nSELECT\\n \\\"free_stream_velocity\\\",\\n SUM(CAST(\\\"chord_length\\\" AS REAL)) AS total_measure\\nFROM \\\"n2\\\"\\nWHERE \\\"free_stream_velocity\\\" IS NOT NULL\\n AND \\\"free_stream_velocity\\\" <> ''\\n AND \\\"chord_length\\\" IS NOT NULL\\n AND \\\"chord_length\\\" <> ''\\nGROUP BY \\\"free_stream_velocity\\\"\\nHAVING SUM(CAST(\\\"chord_length\\\" AS REAL)) > 0.1524\\nORDER BY total_measure DESC\\nLIMIT 17;\",\"notes\":\"Applied the thresholded group ranking template with group_col=\\\"free_stream_velocity\\\" and measure_col=\\\"chord_length\\\". Cast the measure from TEXT to REAL for SQLite aggregation and filtered null/empty values to keep a stable grouped view.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13738,"cached_input_tokens":12032,"output_tokens":701,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..629b8e18a49d0f28245a613a50ac8d1d8b600326 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_thresholded_group_ranking\nSELECT\n \"free_stream_velocity\",\n SUM(CAST(\"chord_length\" AS REAL)) AS total_measure\nFROM \"n2\"\nWHERE \"free_stream_velocity\" IS NOT NULL\n AND \"free_stream_velocity\" <> ''\n AND \"chord_length\" IS NOT NULL\n AND \"chord_length\" <> ''\nGROUP BY \"free_stream_velocity\"\nHAVING SUM(CAST(\"chord_length\" AS REAL)) > 0.1524\nORDER BY total_measure DESC\nLIMIT 17;","notes":"Applied the thresholded group ranking template with group_col=\"free_stream_velocity\" and measure_col=\"chord_length\". Cast the measure from TEXT to REAL for SQLite aggregation and filtered null/empty values to keep a stable grouped view."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_1aed82d8732b11db/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2f922d6868c21319fc2df9af08aa46ca8d267953 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5708, "bytes_utf8": 5708, "lines": 168, "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": 465, "bytes_utf8": 465, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13702, "cached_input_tokens": 12672, "output_tokens": 263, "reasoning_output_tokens": 151}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1944d79564c0b92b693febbbbab2bca43b6d6bc1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_25475fa355923461", + "api_calls": 0, + "input_tokens": 13702, + "cached_input_tokens": 12672, + "output_tokens": 263, + "total_tokens": 13965, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10754.89, + "sql_execution_elapsed_ms_total": 5.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a482ea57dd23bc6249b2c3eedfaea21d43876250 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/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": "2026-05-19T15:39:50.661782+00:00", + "ended_at": "2026-05-19T15:40:01.416715+00:00", + "elapsed_ms": 10754.89, + "prompt_metrics": { + "chars": 5708, + "bytes_utf8": 5708, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 820, + "bytes_utf8": 820, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 465, + "bytes_utf8": 465, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13702, + "cached_input_tokens": 12672, + "output_tokens": 263, + "reasoning_output_tokens": 151 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f8b89c283597ae0c3f2106950157837a204d4fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=free_stream_velocity, measure_col=angle_of_attack.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "angle_of_attack", + "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": 9.9, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_25475fa355923461/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..81dbd79d4c2a3f424fe7842ed5a0f7196b68e14c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-b503-78d3-b7f0-78b1e6ae5395"} +{"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 \\\"free_stream_velocity\\\",\\n AVG(CAST(\\\"angle_of_attack\\\" AS REAL)) OVER (PARTITION BY \\\"free_stream_velocity\\\") AS avg_measure\\nFROM \\\"n2\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the provided Window Partition Average template with group_col=\\\"free_stream_velocity\\\" and measure_col=\\\"angle_of_attack\\\". CAST to REAL is used because the schema stores numeric fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13702,"cached_input_tokens":12672,"output_tokens":263,"reasoning_output_tokens":151}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd718e2cb9b5bb5b6a0d7ab3276e0f227ca4a25b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n \"free_stream_velocity\",\n AVG(CAST(\"angle_of_attack\" AS REAL)) OVER (PARTITION BY \"free_stream_velocity\") AS avg_measure\nFROM \"n2\"\nORDER BY avg_measure DESC;","notes":"Applied the provided Window Partition Average template with group_col=\"free_stream_velocity\" and measure_col=\"angle_of_attack\". CAST to REAL is used 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_c/n2/artifacts/v2q_n2_25475fa355923461/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_25475fa355923461/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..77212dba74dcab3aa63f162c20808f2498af88c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6044, "bytes_utf8": 6044, "lines": 170, "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": 670, "bytes_utf8": 670, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13810, "cached_input_tokens": 12672, "output_tokens": 613, "reasoning_output_tokens": 446}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..23172e4e3887b98ff6dfd49d6fd13d5e8f7deaba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_2670ecf51412edea", + "api_calls": 0, + "input_tokens": 13810, + "cached_input_tokens": 12672, + "output_tokens": 613, + "total_tokens": 14423, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12941.21, + "sql_execution_elapsed_ms_total": 3.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..05cee716772cbc21e5fe8f6b3fbcbfe9ad6dca72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/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": "2026-05-19T15:33:01.207224+00:00", + "ended_at": "2026-05-19T15:33:14.148467+00:00", + "elapsed_ms": 12941.21, + "prompt_metrics": { + "chars": 6044, + "bytes_utf8": 6044, + "lines": 170, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1050, + "bytes_utf8": 1050, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 670, + "bytes_utf8": 670, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13810, + "cached_input_tokens": 12672, + "output_tokens": 613, + "reasoning_output_tokens": 446 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f8d3e09a0f6d413c8e2d7b7d9cfa204424f79d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,170 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=free_stream_velocity, measure_col=frequency.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "frequency", + "item_col": "displacement_thickness", + "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": 3150.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..36bcc57ad10d5a3fbada6776cd28933d054b93b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-7594-7902-9754-805ee1bf79d6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"free_stream_velocity\\\", \\\"displacement_thickness\\\",\\n SUM(CAST(\\\"frequency\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"frequency\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"frequency\\\" AS REAL))) OVER (PARTITION BY \\\"free_stream_velocity\\\") AS share_within_group\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\", \\\"displacement_thickness\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required template with group_col=\\\"free_stream_velocity\\\", item_col=\\\"displacement_thickness\\\", and measure_col=\\\"frequency\\\". CAST to REAL is applied because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13810,"cached_input_tokens":12672,"output_tokens":613,"reasoning_output_tokens":446}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a6ddb66745c481477ab1c83886f044a9f526ff0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"free_stream_velocity\", \"displacement_thickness\",\n SUM(CAST(\"frequency\" AS REAL)) AS total_measure,\n SUM(CAST(\"frequency\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"frequency\" AS REAL))) OVER (PARTITION BY \"free_stream_velocity\") AS share_within_group\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\", \"displacement_thickness\"\nORDER BY share_within_group DESC;","notes":"Used the required template with group_col=\"free_stream_velocity\", item_col=\"displacement_thickness\", and measure_col=\"frequency\". CAST to REAL is applied 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_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2670ecf51412edea/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..85f8b2d84bf9a4184a5514fb4bc20fc9e50a37d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5559, "bytes_utf8": 5559, "lines": 166, "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": 401, "bytes_utf8": 401, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13682, "cached_input_tokens": 12032, "output_tokens": 241, "reasoning_output_tokens": 130}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fa0be59494d18a18e3c273c1c6807e58b397daff --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_2bb8a77a626075f6", + "api_calls": 0, + "input_tokens": 13682, + "cached_input_tokens": 12032, + "output_tokens": 241, + "total_tokens": 13923, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8347.87, + "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_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f262337a81a55596c75f42e6fcbaa06d4771334c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/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": "2026-05-19T16:00:31.329885+00:00", + "ended_at": "2026-05-19T16:00:39.677777+00:00", + "elapsed_ms": 8347.87, + "prompt_metrics": { + "chars": 5559, + "bytes_utf8": 5559, + "lines": 166, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 745, + "bytes_utf8": 745, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 401, + "bytes_utf8": 401, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13682, + "cached_input_tokens": 12032, + "output_tokens": 241, + "reasoning_output_tokens": 130 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4548aa386b9ed58beaf5c916ca139db43128bd42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,166 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=displacement_thickness.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "displacement_thickness", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.015576, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..31c21d704eba3621ba7365eb400259973bd3b996 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-a38d-7f21-ac1f-69adce10d6bf"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"displacement_thickness\\\" AS REAL) <= 0.015576 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"n2\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"displacement_thickness\\\" and measure_threshold fixed at 0.015576. Cast to REAL because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13682,"cached_input_tokens":12032,"output_tokens":241,"reasoning_output_tokens":130}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2dda24413b9d70299a2ccde44b1fd62b2c260fd8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"displacement_thickness\" AS REAL) <= 0.015576 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"n2\";","notes":"Applied the Threshold Rarity CDF template with measure_col bound to \"displacement_thickness\" and measure_threshold fixed at 0.015576. 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_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_2bb8a77a626075f6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0d1784f71ef41ae8f321f51173899ba4d0ac4ad7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5825, "bytes_utf8": 5825, "lines": 168, "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": 1738, "bytes_utf8": 1738, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13733, "cached_input_tokens": 12672, "output_tokens": 2999, "reasoning_output_tokens": 2440}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9f48144ef2fa77fef3e72214c7fa29d20a70d2b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_309b5f85fd9ee3b2", + "api_calls": 0, + "input_tokens": 13733, + "cached_input_tokens": 12672, + "output_tokens": 2999, + "total_tokens": 16732, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 42457.7, + "sql_execution_elapsed_ms_total": 5.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..346db4ec0081a7e89be8ba22d4d4ecd1b506874f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:28.576317+00:00", + "ended_at": "2026-05-19T15:48:11.034046+00:00", + "elapsed_ms": 42457.7, + "prompt_metrics": { + "chars": 5825, + "bytes_utf8": 5825, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2310, + "bytes_utf8": 2310, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1738, + "bytes_utf8": 1738, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13733, + "cached_input_tokens": 12672, + "output_tokens": 2999, + "reasoning_output_tokens": 2440 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd98301028f8b5bbe0ca866c59dade5eb4235488 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=free_stream_velocity, measure_col=displacement_thickness.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "displacement_thickness", + "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": 0.015576, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..71f21f8f83fbd61740951e3509b287334ce2b6db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-b249-76d2-8d5c-53daaab01fa2"} +{"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 CAST(\\\"free_stream_velocity\\\" AS REAL) AS \\\"free_stream_velocity\\\",\\n CAST(\\\"displacement_thickness\\\" AS REAL) AS \\\"displacement_thickness\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY CAST(\\\"free_stream_velocity\\\" AS REAL)\\n ORDER BY CAST(\\\"displacement_thickness\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY CAST(\\\"free_stream_velocity\\\" AS REAL)\\n ) AS \\\"cnt\\\"\\n FROM \\\"n2\\\"\\n WHERE \\\"free_stream_velocity\\\" IS NOT NULL\\n AND \\\"displacement_thickness\\\" IS NOT NULL\\n),\\n\\\"__percentile_inputs\\\" AS (\\n SELECT\\n \\\"free_stream_velocity\\\",\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"r\\\",\\n MAX(CASE WHEN \\\"rn\\\" <= (1.0 + 0.95 * (\\\"cnt\\\" - 1)) THEN \\\"rn\\\" END) AS \\\"lo_rn\\\",\\n MIN(CASE WHEN \\\"rn\\\" >= (1.0 + 0.95 * (\\\"cnt\\\" - 1)) THEN \\\"rn\\\" END) AS \\\"hi_rn\\\",\\n MAX(CASE WHEN \\\"rn\\\" <= (1.0 + 0.95 * (\\\"cnt\\\" - 1)) THEN \\\"displacement_thickness\\\" END) AS \\\"lo_val\\\",\\n MIN(CASE WHEN \\\"rn\\\" >= (1.0 + 0.95 * (\\\"cnt\\\" - 1)) THEN \\\"displacement_thickness\\\" END) AS \\\"hi_val\\\",\\n MAX(\\\"cnt\\\") AS \\\"group_size\\\"\\n FROM \\\"__ordered\\\"\\n GROUP BY \\\"free_stream_velocity\\\"\\n)\\nSELECT\\n \\\"free_stream_velocity\\\",\\n CASE\\n WHEN \\\"lo_rn\\\" = \\\"hi_rn\\\" THEN \\\"lo_val\\\"\\n ELSE \\\"lo_val\\\" + ((\\\"r\\\" - \\\"lo_rn\\\") * (\\\"hi_val\\\" - \\\"lo_val\\\") / (\\\"hi_rn\\\" - \\\"lo_rn\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"__percentile_inputs\\\"\\nWHERE \\\"group_size\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates PERCENTILE_CONT(0.95) in SQLite with window functions and linear interpolation, casting the TEXT-stored numeric fields to REAL and applying the provided minimum group size of 5.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13733,"cached_input_tokens":12672,"output_tokens":2999,"reasoning_output_tokens":2440}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9158fa81b5507811df0f08a5fc2a3a767a154e55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"__ordered\" AS (\n SELECT\n CAST(\"free_stream_velocity\" AS REAL) AS \"free_stream_velocity\",\n CAST(\"displacement_thickness\" AS REAL) AS \"displacement_thickness\",\n ROW_NUMBER() OVER (\n PARTITION BY CAST(\"free_stream_velocity\" AS REAL)\n ORDER BY CAST(\"displacement_thickness\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY CAST(\"free_stream_velocity\" AS REAL)\n ) AS \"cnt\"\n FROM \"n2\"\n WHERE \"free_stream_velocity\" IS NOT NULL\n AND \"displacement_thickness\" IS NOT NULL\n),\n\"__percentile_inputs\" AS (\n SELECT\n \"free_stream_velocity\",\n (1.0 + 0.95 * (\"cnt\" - 1)) AS \"r\",\n MAX(CASE WHEN \"rn\" <= (1.0 + 0.95 * (\"cnt\" - 1)) THEN \"rn\" END) AS \"lo_rn\",\n MIN(CASE WHEN \"rn\" >= (1.0 + 0.95 * (\"cnt\" - 1)) THEN \"rn\" END) AS \"hi_rn\",\n MAX(CASE WHEN \"rn\" <= (1.0 + 0.95 * (\"cnt\" - 1)) THEN \"displacement_thickness\" END) AS \"lo_val\",\n MIN(CASE WHEN \"rn\" >= (1.0 + 0.95 * (\"cnt\" - 1)) THEN \"displacement_thickness\" END) AS \"hi_val\",\n MAX(\"cnt\") AS \"group_size\"\n FROM \"__ordered\"\n GROUP BY \"free_stream_velocity\"\n)\nSELECT\n \"free_stream_velocity\",\n CASE\n WHEN \"lo_rn\" = \"hi_rn\" THEN \"lo_val\"\n ELSE \"lo_val\" + ((\"r\" - \"lo_rn\") * (\"hi_val\" - \"lo_val\") / (\"hi_rn\" - \"lo_rn\"))\n END AS \"percentile_measure\"\nFROM \"__percentile_inputs\"\nWHERE \"group_size\" >= 5\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates PERCENTILE_CONT(0.95) in SQLite with window functions and linear interpolation, casting the TEXT-stored numeric fields to REAL and applying the provided minimum group size of 5."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_309b5f85fd9ee3b2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..64638cf819abd57b484594c26a2eda0444ae7f9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5806, "bytes_utf8": 5806, "lines": 168, "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": 2183, "bytes_utf8": 2183, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13730, "cached_input_tokens": 12672, "output_tokens": 4110, "reasoning_output_tokens": 3413}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6fb154aee706b642f2d09bfdebc4a42723cb147f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_324b55fe29974da6", + "api_calls": 0, + "input_tokens": 13730, + "cached_input_tokens": 12672, + "output_tokens": 4110, + "total_tokens": 17840, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 61503.14, + "sql_execution_elapsed_ms_total": 6.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ee5894f82291916d0d36a8ff34bd283a711a7953 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/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": "2026-05-19T15:51:30.226648+00:00", + "ended_at": "2026-05-19T15:52:31.729821+00:00", + "elapsed_ms": 61503.14, + "prompt_metrics": { + "chars": 5806, + "bytes_utf8": 5806, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2815, + "bytes_utf8": 2815, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 2183, + "bytes_utf8": 2183, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13730, + "cached_input_tokens": 12672, + "output_tokens": 4110, + "reasoning_output_tokens": 3413 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..98130d3c7ac081c28aaad246bbdc52c21dd679f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=free_stream_velocity, measure_col=angle_of_attack.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "angle_of_attack", + "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": 8.9, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0c13650e55e080d53683fe14001c0943659a9e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ef-61db-7f72-9903-05ce39e40d9d"} +{"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 \\\"free_stream_velocity\\\",\\n CAST(\\\"angle_of_attack\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"free_stream_velocity\\\"\\n ORDER BY CAST(\\\"angle_of_attack\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"free_stream_velocity\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n2\\\"\\n WHERE \\\"free_stream_velocity\\\" IS NOT NULL\\n AND TRIM(\\\"free_stream_velocity\\\") <> ''\\n AND \\\"angle_of_attack\\\" IS NOT NULL\\n AND TRIM(\\\"angle_of_attack\\\") <> ''\\n),\\n\\\"__bounds\\\" AS (\\n SELECT DISTINCT\\n \\\"free_stream_velocity\\\",\\n \\\"cnt\\\",\\n (1.0 + (0.9 * (\\\"cnt\\\" - 1))) AS \\\"pos\\\",\\n CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN (1.0 + (0.9 * (\\\"cnt\\\" - 1))) > CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n THEN CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n ELSE CAST(1.0 + (0.9 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n END AS \\\"hi_rn\\\"\\n FROM \\\"__ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"__picked\\\" AS (\\n SELECT\\n b.\\\"free_stream_velocity\\\",\\n b.\\\"pos\\\",\\n b.\\\"lo_rn\\\",\\n b.\\\"hi_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lo_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"lo_val\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"hi_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"hi_val\\\"\\n FROM \\\"__bounds\\\" AS b\\n JOIN \\\"__ordered\\\" AS o\\n ON o.\\\"free_stream_velocity\\\" = b.\\\"free_stream_velocity\\\"\\n GROUP BY b.\\\"free_stream_velocity\\\", b.\\\"pos\\\", b.\\\"lo_rn\\\", b.\\\"hi_rn\\\"\\n)\\nSELECT\\n \\\"free_stream_velocity\\\",\\n CASE\\n WHEN \\\"lo_rn\\\" = \\\"hi_rn\\\" THEN \\\"lo_val\\\"\\n ELSE \\\"lo_val\\\" + (\\\"pos\\\" - \\\"lo_rn\\\") * (\\\"hi_val\\\" - \\\"lo_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"__picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Uses the planned grouped-percentile template with group_col=\\\"free_stream_velocity\\\" and measure_col=\\\"angle_of_attack\\\". Because SQLite lacks PERCENTILE_CONT, this emulates the 90th percentile with window functions and linear interpolation after casting the TEXT columns to REAL; groups smaller than 5 rows are excluded using the provided min_group_size.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13730,"cached_input_tokens":12672,"output_tokens":4110,"reasoning_output_tokens":3413}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f23b05246afa32e63d579f93900947b8269b1d64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"__ordered\" AS (\n SELECT\n \"free_stream_velocity\",\n CAST(\"angle_of_attack\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"free_stream_velocity\"\n ORDER BY CAST(\"angle_of_attack\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"free_stream_velocity\"\n ) AS \"cnt\"\n FROM \"n2\"\n WHERE \"free_stream_velocity\" IS NOT NULL\n AND TRIM(\"free_stream_velocity\") <> ''\n AND \"angle_of_attack\" IS NOT NULL\n AND TRIM(\"angle_of_attack\") <> ''\n),\n\"__bounds\" AS (\n SELECT DISTINCT\n \"free_stream_velocity\",\n \"cnt\",\n (1.0 + (0.9 * (\"cnt\" - 1))) AS \"pos\",\n CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER) AS \"lo_rn\",\n CASE\n WHEN (1.0 + (0.9 * (\"cnt\" - 1))) > CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER)\n THEN CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER) + 1\n ELSE CAST(1.0 + (0.9 * (\"cnt\" - 1)) AS INTEGER)\n END AS \"hi_rn\"\n FROM \"__ordered\"\n WHERE \"cnt\" >= 5\n),\n\"__picked\" AS (\n SELECT\n b.\"free_stream_velocity\",\n b.\"pos\",\n b.\"lo_rn\",\n b.\"hi_rn\",\n MAX(CASE WHEN o.\"rn\" = b.\"lo_rn\" THEN o.\"measure_value\" END) AS \"lo_val\",\n MAX(CASE WHEN o.\"rn\" = b.\"hi_rn\" THEN o.\"measure_value\" END) AS \"hi_val\"\n FROM \"__bounds\" AS b\n JOIN \"__ordered\" AS o\n ON o.\"free_stream_velocity\" = b.\"free_stream_velocity\"\n GROUP BY b.\"free_stream_velocity\", b.\"pos\", b.\"lo_rn\", b.\"hi_rn\"\n)\nSELECT\n \"free_stream_velocity\",\n CASE\n WHEN \"lo_rn\" = \"hi_rn\" THEN \"lo_val\"\n ELSE \"lo_val\" + (\"pos\" - \"lo_rn\") * (\"hi_val\" - \"lo_val\")\n END AS \"percentile_measure\"\nFROM \"__picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"Uses the planned grouped-percentile template with group_col=\"free_stream_velocity\" and measure_col=\"angle_of_attack\". Because SQLite lacks PERCENTILE_CONT, this emulates the 90th percentile with window functions and linear interpolation after casting the TEXT columns to REAL; groups smaller than 5 rows are excluded using the provided min_group_size."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_324b55fe29974da6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..de6add38d3f474f58946553e9b2d4dc422b080e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6193, "bytes_utf8": 6193, "lines": 168, "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": 669, "bytes_utf8": 669, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13830, "cached_input_tokens": 12672, "output_tokens": 355, "reasoning_output_tokens": 188}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..07ea6a7e7d77c83e50e988a893158dfda10be1a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_3d06d63a351fd9ed", + "api_calls": 0, + "input_tokens": 13830, + "cached_input_tokens": 12672, + "output_tokens": 355, + "total_tokens": 14185, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18237.82, + "sql_execution_elapsed_ms_total": 0.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..98d6cacf3ad219974aecef0434091f7582a03934 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/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": "2026-05-19T15:43:50.372684+00:00", + "ended_at": "2026-05-19T15:44:08.610534+00:00", + "elapsed_ms": 18237.82, + "prompt_metrics": { + "chars": 6193, + "bytes_utf8": 6193, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2030, + "bytes_utf8": 2030, + "lines": 7, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 669, + "bytes_utf8": 669, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13830, + "cached_input_tokens": 12672, + "output_tokens": 355, + "reasoning_output_tokens": 188 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ab4a8e8db44dc085ca38c87f9daffe6de039c72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=free_stream_velocity, measure_col=free_stream_velocity.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "free_stream_velocity", + "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": 71.3, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..304dfc4536df6292563850d6b9e248c6a76d228d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40e8-5d62-7263-bff9-56d47a24f902"} +{"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 1993301, Requested 14465. Please try again in 232ms. 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 1988368, Requested 14465. Please try again in 84ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1995104, Requested 14465. Please try again in 287ms. 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 \\\"free_stream_velocity\\\", SUM(CAST(\\\"free_stream_velocity\\\" AS REAL)) AS group_value\\n FROM \\\"n2\\\"\\n GROUP BY \\\"free_stream_velocity\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"free_stream_velocity\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the required template with group_col and measure_col both bound to \\\"free_stream_velocity\\\". CAST to REAL is included because the schema stores numeric fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13830,"cached_input_tokens":12672,"output_tokens":355,"reasoning_output_tokens":188}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..545e855bba69344d657750e60f37dbf42fa15fbf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"free_stream_velocity\", SUM(CAST(\"free_stream_velocity\" AS REAL)) AS group_value\n FROM \"n2\"\n GROUP BY \"free_stream_velocity\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"free_stream_velocity\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the required template with group_col and measure_col both bound to \"free_stream_velocity\". CAST to REAL is included because the schema stores numeric fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_3d06d63a351fd9ed/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a136da083853540c3b2dfc9f848b7e81e9f953a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5817, "bytes_utf8": 5817, "lines": 168, "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": 5817, "bytes_utf8": 5817, "lines": 168, "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": 523, "bytes_utf8": 523, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13730, "cached_input_tokens": 12032, "output_tokens": 899, "reasoning_output_tokens": 769}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2df80ffb5ff196bc2b32ffe1a9928a178911501c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_43d63e5cb0a20541", + "api_calls": 0, + "input_tokens": 13730, + "cached_input_tokens": 12032, + "output_tokens": 899, + "total_tokens": 14629, + "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": 29567.87, + "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_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6325b62c0444f212dd5dc402346b25cf8d9a18b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/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": "2026-05-19T15:53:24.364907+00:00", + "ended_at": "2026-05-19T15:53:27.535651+00:00", + "elapsed_ms": 3170.72, + "returncode": 1, + "prompt_metrics": { + "chars": 5817, + "bytes_utf8": 5817, + "lines": 168, + "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_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f033489355c84a18754689b22a33ebc8b5b74a73 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/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": "2026-05-19T15:53:28.537773+00:00", + "ended_at": "2026-05-19T15:53:54.934974+00:00", + "elapsed_ms": 26397.15, + "prompt_metrics": { + "chars": 5817, + "bytes_utf8": 5817, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 883, + "bytes_utf8": 883, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 523, + "bytes_utf8": 523, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13730, + "cached_input_tokens": 12032, + "output_tokens": 899, + "reasoning_output_tokens": 769 + } + }, + "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_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2033afdccd112d8465dc83db74382f28694402b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=free_stream_velocity, measure_col=free_stream_velocity.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "free_stream_velocity", + "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": 71.3, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2033afdccd112d8465dc83db74382f28694402b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=free_stream_velocity, measure_col=free_stream_velocity.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "free_stream_velocity", + "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": 71.3, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..60ccbb43094d7e894aee9d054e871eb053e8e96d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-1f84-71f2-a382-d553289d7f46"} +{"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_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..84f6443c459b551cda012e2a53af41b42491bf13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-1f84-71f2-a382-d553289d7f46"} +{"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_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..427ce277a478582378ea2c0d3b1333426c98080a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-2ffd-7aa2-b868-24bb6bc27eeb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nSELECT\\n CAST(\\\"free_stream_velocity\\\" AS REAL) AS \\\"free_stream_velocity\\\",\\n CAST(\\\"free_stream_velocity\\\" AS REAL) AS \\\"percentile_measure\\\"\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite has no PERCENTILE_CONT, and here measure_col equals group_col. Since each group is defined by a single free_stream_velocity value, the 0.95 percentile within each group is that same numeric free_stream_velocity value.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13730,"cached_input_tokens":12032,"output_tokens":899,"reasoning_output_tokens":769}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..2bc8e716d498b0f5e9551e002edf031e5a3d151e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nSELECT\n CAST(\"free_stream_velocity\" AS REAL) AS \"free_stream_velocity\",\n CAST(\"free_stream_velocity\" AS REAL) AS \"percentile_measure\"\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite has no PERCENTILE_CONT, and here measure_col equals group_col. Since each group is defined by a single free_stream_velocity value, the 0.95 percentile within each group is that same numeric free_stream_velocity value."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_43d63e5cb0a20541/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e601983953e5ff6e7216096650d46a4a87566643 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6071, "bytes_utf8": 6071, "lines": 170, "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": 761, "bytes_utf8": 761, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13816, "cached_input_tokens": 12032, "output_tokens": 708, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f0a24a1df76f0901434dc1c8e360d7afbefacd6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_48b571d08740de27", + "api_calls": 0, + "input_tokens": 13816, + "cached_input_tokens": 12032, + "output_tokens": 708, + "total_tokens": 14524, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14286.86, + "sql_execution_elapsed_ms_total": 1.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..94e4fbe3f504f43f28401f3d689dab8ecddcd3e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:57.231615+00:00", + "ended_at": "2026-05-19T15:35:11.518504+00:00", + "elapsed_ms": 14286.86, + "prompt_metrics": { + "chars": 6071, + "bytes_utf8": 6071, + "lines": 170, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1144, + "bytes_utf8": 1144, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 761, + "bytes_utf8": 761, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13816, + "cached_input_tokens": 12032, + "output_tokens": 708, + "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_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..36d4dc4238e037d2922ef5d04b8d97de48623eec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,170 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=free_stream_velocity, measure_col=displacement_thickness.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "displacement_thickness", + "item_col": "displacement_thickness", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.01044, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..55b7b9ff113d557548a2a48d6482845b84b2aeb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-3ac9-7a12-846e-3bb62484fcaa"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"free_stream_velocity\\\",\\n \\\"displacement_thickness\\\",\\n SUM(CAST(\\\"displacement_thickness\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"displacement_thickness\\\" AS REAL)) * 100.0\\n / SUM(SUM(CAST(\\\"displacement_thickness\\\" AS REAL))) OVER (PARTITION BY \\\"free_stream_velocity\\\") AS share_within_group\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\", \\\"displacement_thickness\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"free_stream_velocity\\\", item_col=\\\"displacement_thickness\\\", and measure_col=\\\"displacement_thickness\\\". CAST to REAL is necessary because the SQLite schema stores these numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13816,"cached_input_tokens":12032,"output_tokens":708,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..66ce0a6fc12bb14aefb20befae71d2bd1090a031 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"free_stream_velocity\",\n \"displacement_thickness\",\n SUM(CAST(\"displacement_thickness\" AS REAL)) AS total_measure,\n SUM(CAST(\"displacement_thickness\" AS REAL)) * 100.0\n / SUM(SUM(CAST(\"displacement_thickness\" AS REAL))) OVER (PARTITION BY \"free_stream_velocity\") AS share_within_group\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\", \"displacement_thickness\"\nORDER BY share_within_group DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"free_stream_velocity\", item_col=\"displacement_thickness\", and measure_col=\"displacement_thickness\". CAST to REAL is necessary because the SQLite schema stores these numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_48b571d08740de27/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fe85f1816806493aa67ad5670f5bd65494918b0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5602, "bytes_utf8": 5602, "lines": 166, "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": 362, "bytes_utf8": 362, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13701, "cached_input_tokens": 12032, "output_tokens": 383, "reasoning_output_tokens": 286}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4c19a7fe4d7f00b768d4165478fb3174dc651048 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_4c45ab10fd07fbd3", + "api_calls": 0, + "input_tokens": 13701, + "cached_input_tokens": 12032, + "output_tokens": 383, + "total_tokens": 14084, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9421.9, + "sql_execution_elapsed_ms_total": 1.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ae0d662ab41815a23254ff40d5eb64ac625e1808 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:56.275616+00:00", + "ended_at": "2026-05-19T16:03:05.697543+00:00", + "elapsed_ms": 9421.9, + "prompt_metrics": { + "chars": 5602, + "bytes_utf8": 5602, + "lines": 166, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 723, + "bytes_utf8": 723, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 362, + "bytes_utf8": 362, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13701, + "cached_input_tokens": 12032, + "output_tokens": 383, + "reasoning_output_tokens": 286 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c10fc5847b6e646773d30ea74de52500154cf705 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,166 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=free_stream_velocity.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "free_stream_velocity", + "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": 9.9, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c49b087c0fdfe67740ca79462a4254cd74e83f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-d9a1-77f2-8973-4c4b72ea9245"} +{"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 \\\"free_stream_velocity\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\"\\nORDER BY \\\"support\\\" ASC, \\\"free_stream_velocity\\\"\\nLIMIT 11;\",\"notes\":\"Applied the Low-Support Group Count template with \\\"free_stream_velocity\\\" as the grouping column and LIMIT 11.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13701,"cached_input_tokens":12032,"output_tokens":383,"reasoning_output_tokens":286}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3ce1360951026894694a1d9ec4e1c772844084dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"free_stream_velocity\",\n COUNT(*) AS \"support\"\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\"\nORDER BY \"support\" ASC, \"free_stream_velocity\"\nLIMIT 11;","notes":"Applied the Low-Support Group Count template with \"free_stream_velocity\" as the grouping column and LIMIT 11."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c45ab10fd07fbd3/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..801a525aba65d57b7d6cb467bc531852501d6e3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5826, "bytes_utf8": 5826, "lines": 168, "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": 1140, "bytes_utf8": 1140, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13733, "cached_input_tokens": 12672, "output_tokens": 814, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..675e460d8c68f6cb756d0b003e3a7c088e7f1da1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_4c9360fdbc5d151a", + "api_calls": 0, + "input_tokens": 13733, + "cached_input_tokens": 12672, + "output_tokens": 814, + "total_tokens": 14547, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15900.51, + "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_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ff9027d2477f994bb8e7aa86486fa4a902713536 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:26.496768+00:00", + "ended_at": "2026-05-19T15:54:42.397306+00:00", + "elapsed_ms": 15900.51, + "prompt_metrics": { + "chars": 5826, + "bytes_utf8": 5826, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1567, + "bytes_utf8": 1567, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1140, + "bytes_utf8": 1140, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13733, + "cached_input_tokens": 12672, + "output_tokens": 814, + "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_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea1072684c666e3ed6e4a91370d64fb55e1bd200 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=free_stream_velocity, measure_col=displacement_thickness.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "displacement_thickness", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.01044, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..23995ca4f2ed7c291326ce46b8abeaafe568f12c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-125e-7b93-93bd-2da191d4ec65"} +{"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 CAST(\\\"free_stream_velocity\\\" AS REAL) AS \\\"free_stream_velocity\\\",\\n CAST(\\\"displacement_thickness\\\" AS REAL) AS \\\"displacement_thickness\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY CAST(\\\"free_stream_velocity\\\" AS REAL)\\n ORDER BY CAST(\\\"displacement_thickness\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY CAST(\\\"free_stream_velocity\\\" AS REAL)\\n ) AS \\\"cnt\\\"\\n FROM \\\"n2\\\"\\n WHERE \\\"free_stream_velocity\\\" IS NOT NULL\\n AND \\\"displacement_thickness\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"free_stream_velocity\\\",\\n \\\"displacement_thickness\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" = CAST(((0.95 * \\\"cnt\\\") + 0.999999999999) AS INTEGER)\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a window-function nearest-rank approximation of the 95th percentile within each free_stream_velocity group. Both grouped and measured columns are stored as TEXT in the schema snapshot, so they are cast to REAL before ordering, partitioning, and output.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13733,"cached_input_tokens":12672,"output_tokens":814,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a41dbdb4546c29406ad18ae90cde6b815e9fb5c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n CAST(\"free_stream_velocity\" AS REAL) AS \"free_stream_velocity\",\n CAST(\"displacement_thickness\" AS REAL) AS \"displacement_thickness\",\n ROW_NUMBER() OVER (\n PARTITION BY CAST(\"free_stream_velocity\" AS REAL)\n ORDER BY CAST(\"displacement_thickness\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY CAST(\"free_stream_velocity\" AS REAL)\n ) AS \"cnt\"\n FROM \"n2\"\n WHERE \"free_stream_velocity\" IS NOT NULL\n AND \"displacement_thickness\" IS NOT NULL\n)\nSELECT\n \"free_stream_velocity\",\n \"displacement_thickness\" AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"rn\" = CAST(((0.95 * \"cnt\") + 0.999999999999) AS INTEGER)\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a window-function nearest-rank approximation of the 95th percentile within each free_stream_velocity group. Both grouped and measured columns are stored as TEXT in the schema snapshot, so they are cast to REAL before ordering, partitioning, and output."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4c9360fdbc5d151a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a07f63ef68673ef67665ed6359bd05248325cd28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/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": "2026-05-19T15:54:42.408044+00:00", + "ended_at": "2026-05-19T15:54:46.041800+00:00", + "elapsed_ms": 3633.73, + "returncode": 1, + "prompt_metrics": { + "chars": 5797, + "bytes_utf8": 5797, + "lines": 168, + "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_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a913b8283d9668cc513c83c02bda543005087593 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/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": "2026-05-19T15:54:47.043440+00:00", + "ended_at": "2026-05-19T15:54:50.238670+00:00", + "elapsed_ms": 3195.18, + "returncode": 1, + "prompt_metrics": { + "chars": 5797, + "bytes_utf8": 5797, + "lines": 168, + "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_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd5aac6c453f7ff09f3601140fa73ece196998ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=free_stream_velocity, measure_col=frequency.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "frequency", + "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": 4000.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd5aac6c453f7ff09f3601140fa73ece196998ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=free_stream_velocity, measure_col=frequency.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "frequency", + "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": 4000.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4e7d0d5d46ffaed150312b63d2eb50b87e776c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-506a-7ac1-8ebf-21430468a273"} +{"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_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9b06cf7b80643cc5e31dc4a55574e00c9edcee4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-506a-7ac1-8ebf-21430468a273"} +{"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_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..09a175389a29261bee89cbf039efc78c2bb60476 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-62a3-71b0-9499-fcf5e82477c5"} +{"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_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3894c9458dee52b2e2370e39022b38d49d37a532 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-62a3-71b0-9499-fcf5e82477c5"} +{"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_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_4d9cb66e083f0d2d/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b6fccab13956bd56efb157f78c2c082652f07dda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:00.680825+00:00", + "ended_at": "2026-05-19T16:04:03.708611+00:00", + "elapsed_ms": 3027.76, + "returncode": 1, + "prompt_metrics": { + "chars": 5813, + "bytes_utf8": 5813, + "lines": 168, + "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_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..319bd745792901a3283ef6b17725e9bbd14ee68c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:04.710199+00:00", + "ended_at": "2026-05-19T16:04:07.966836+00:00", + "elapsed_ms": 3256.58, + "returncode": 1, + "prompt_metrics": { + "chars": 5813, + "bytes_utf8": 5813, + "lines": 168, + "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_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c29985c6449c69dd545f1a79899cb01d325f5fb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n2", + "question": "Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=free_stream_velocity, measure_col=displacement_thickness.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "displacement_thickness", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.015576, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c29985c6449c69dd545f1a79899cb01d325f5fb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n2", + "question": "Use template Thresholded Group Ranking to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=free_stream_velocity, measure_col=displacement_thickness.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "displacement_thickness", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.015576, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa2df229581290a8a7598ac455322b504231b3e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-d539-71f3-a52b-40ee47115e4d"} +{"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_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e956cbc9baf561f508ff8d72d2dfb428c605fc3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-d539-71f3-a52b-40ee47115e4d"} +{"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_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..719696942d3d37dc132c1c93bd4059d9d84d8806 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-e510-7701-876c-48e6be713f75"} +{"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_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4f8c2c8028c64454cd72992b24e8bf285fd939f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-e510-7701-876c-48e6be713f75"} +{"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_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_5ca0761fbc05656a/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..11b313211c92f484f3d66d93f02809b3a59d717c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5807, "bytes_utf8": 5807, "lines": 168, "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": 502, "bytes_utf8": 502, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13736, "cached_input_tokens": 12032, "output_tokens": 428, "reasoning_output_tokens": 303}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4d2b7c2210927d512b022d15aebf81a7109d0da1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_6072f182a1ebe0a1", + "api_calls": 0, + "input_tokens": 13736, + "cached_input_tokens": 12032, + "output_tokens": 428, + "total_tokens": 14164, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9661.07, + "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_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b2e202e9973a6a6d1dd75e0957f733c0053c7b7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:36.051267+00:00", + "ended_at": "2026-05-19T16:03:45.712372+00:00", + "elapsed_ms": 9661.07, + "prompt_metrics": { + "chars": 5807, + "bytes_utf8": 5807, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 858, + "bytes_utf8": 858, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 502, + "bytes_utf8": 502, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13736, + "cached_input_tokens": 12032, + "output_tokens": 428, + "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_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f9272c83261dd40d1529e7ac2346e2eaa01dd22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n2", + "question": "Use template Thresholded Group Ranking to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=free_stream_velocity, measure_col=free_stream_velocity.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "free_stream_velocity", + "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": 71.3, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7891af315eecf80cff4e72c2ac5dce53375154bc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-74f5-7ac3-9aff-98fac3e3bb3c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_thresholded_group_ranking\\nSELECT \\\"free_stream_velocity\\\", SUM(CAST(\\\"free_stream_velocity\\\" AS REAL)) AS total_measure\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\"\\nHAVING SUM(CAST(\\\"free_stream_velocity\\\" AS REAL)) > 71.3\\nORDER BY total_measure DESC\\nLIMIT 13;\",\"notes\":\"Applied the Thresholded Group Ranking template with \\\"free_stream_velocity\\\" as both the grouping field and measure. CAST to REAL is required because the schema stores these values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13736,"cached_input_tokens":12032,"output_tokens":428,"reasoning_output_tokens":303}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..85e7aaa05504aefc281390807dbe06d4f5af56d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_thresholded_group_ranking\nSELECT \"free_stream_velocity\", SUM(CAST(\"free_stream_velocity\" AS REAL)) AS total_measure\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\"\nHAVING SUM(CAST(\"free_stream_velocity\" AS REAL)) > 71.3\nORDER BY total_measure DESC\nLIMIT 13;","notes":"Applied the Thresholded Group Ranking template with \"free_stream_velocity\" as both the grouping field and measure. CAST to REAL is required because the schema stores these values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6072f182a1ebe0a1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0f73c5f0508c0a9655dd56cc93ab09d27c51b550 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5525, "bytes_utf8": 5525, "lines": 166, "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": 312, "bytes_utf8": 312, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13664, "cached_input_tokens": 12672, "output_tokens": 385, "reasoning_output_tokens": 307}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0a1d28207b4bcd2314e7b825740dae8646147d6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_64dc5e09fb3c6c5b", + "api_calls": 0, + "input_tokens": 13664, + "cached_input_tokens": 12672, + "output_tokens": 385, + "total_tokens": 14049, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15426.88, + "sql_execution_elapsed_ms_total": 0.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a9ba993aeef18c38bc3a178d179098ec879c868b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/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": "2026-05-19T15:31:32.321228+00:00", + "ended_at": "2026-05-19T15:31:47.748126+00:00", + "elapsed_ms": 15426.88, + "prompt_metrics": { + "chars": 5525, + "bytes_utf8": 5525, + "lines": 166, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 662, + "bytes_utf8": 662, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 312, + "bytes_utf8": 312, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13664, + "cached_input_tokens": 12672, + "output_tokens": 385, + "reasoning_output_tokens": 307 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9304c98354fe8ea507828ea078469253baf37e4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,166 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=free_stream_velocity.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "free_stream_velocity", + "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": 4000.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7727e1e343390634a5b1e5b97048298d8404d406 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-1a7e-7d91-a67f-212da189bca9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"free_stream_velocity\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applies the grouped count template to measure the row-count distribution across free_stream_velocity subgroups.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13664,"cached_input_tokens":12672,"output_tokens":385,"reasoning_output_tokens":307}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5191950fec6596d5c04e6f6238b7eeb948a1d7bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"free_stream_velocity\", COUNT(*) AS \"row_count\"\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\"\nORDER BY \"row_count\" DESC;","notes":"Applies the grouped count template to measure the row-count distribution across free_stream_velocity subgroups."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_64dc5e09fb3c6c5b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..62887202cc7ff95dc25cf8ccf5e92e4ec632f9af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6172, "bytes_utf8": 6172, "lines": 168, "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": 696, "bytes_utf8": 696, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13825, "cached_input_tokens": 12672, "output_tokens": 533, "reasoning_output_tokens": 362}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e0d6b22cb11989b77940093593f1a62701e8eedb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_6607f5545408098a", + "api_calls": 0, + "input_tokens": 13825, + "cached_input_tokens": 12672, + "output_tokens": 533, + "total_tokens": 14358, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10931.52, + "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_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..71912684cd769970a6f5e8920a650beaecf0de78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:59.484166+00:00", + "ended_at": "2026-05-19T15:47:10.415719+00:00", + "elapsed_ms": 10931.52, + "prompt_metrics": { + "chars": 6172, + "bytes_utf8": 6172, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1067, + "bytes_utf8": 1067, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 696, + "bytes_utf8": 696, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13825, + "cached_input_tokens": 12672, + "output_tokens": 533, + "reasoning_output_tokens": 362 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dbb7c56e88e1f3c780b30d9fe9383a3cb4ac8771 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=free_stream_velocity, measure_col=frequency.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "frequency", + "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": 4000.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..339f8cf7899e4a1654e775eff3a2e7f0f5d1ffb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-403f-77f1-8dcd-d894ff6e6800"} +{"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 \\\"free_stream_velocity\\\", SUM(CAST(\\\"frequency\\\" AS REAL)) AS group_value\\n FROM \\\"n2\\\"\\n GROUP BY \\\"free_stream_velocity\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"free_stream_velocity\\\", 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=\\\"free_stream_velocity\\\" and measure_col=\\\"frequency\\\". Cast \\\"frequency\\\" to REAL because the SQLite schema stores numeric values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13825,"cached_input_tokens":12672,"output_tokens":533,"reasoning_output_tokens":362}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..96f520f46b084c4ecf8fb513eb22dfff7ad656a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"free_stream_velocity\", SUM(CAST(\"frequency\" AS REAL)) AS group_value\n FROM \"n2\"\n GROUP BY \"free_stream_velocity\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"free_stream_velocity\", 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=\"free_stream_velocity\" and measure_col=\"frequency\". Cast \"frequency\" to REAL because the SQLite schema stores numeric values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6607f5545408098a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b7f70a1702d9764029bc16d08c319496f3628061 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5803, "bytes_utf8": 5803, "lines": 168, "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": 5803, "bytes_utf8": 5803, "lines": 168, "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": 1077, "bytes_utf8": 1077, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13731, "cached_input_tokens": 12672, "output_tokens": 1681, "reasoning_output_tokens": 1385}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..739d94919a62d4fff12fdffe563d6f229e64301a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_6637970ade69ba2f", + "api_calls": 0, + "input_tokens": 13731, + "cached_input_tokens": 12672, + "output_tokens": 1681, + "total_tokens": 15412, + "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": 29376.09, + "sql_execution_elapsed_ms_total": 4.79, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1a25a88baf75b25f62129cae6a6a563e80b75cc1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/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": "2026-05-19T15:56:37.438341+00:00", + "ended_at": "2026-05-19T15:56:40.713793+00:00", + "elapsed_ms": 3275.43, + "returncode": 1, + "prompt_metrics": { + "chars": 5803, + "bytes_utf8": 5803, + "lines": 168, + "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_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e68974d2c5695975cbce3f9504fd5d7a8de84315 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/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": "2026-05-19T15:56:41.716153+00:00", + "ended_at": "2026-05-19T15:57:07.816858+00:00", + "elapsed_ms": 26100.66, + "prompt_metrics": { + "chars": 5803, + "bytes_utf8": 5803, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1516, + "bytes_utf8": 1516, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1077, + "bytes_utf8": 1077, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13731, + "cached_input_tokens": 12672, + "output_tokens": 1681, + "reasoning_output_tokens": 1385 + } + }, + "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_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4ac63b751b7ed0bceed07d6f760f6cc754c3080 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=free_stream_velocity, measure_col=chord_length.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "chord_length", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.1524, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4ac63b751b7ed0bceed07d6f760f6cc754c3080 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=free_stream_velocity, measure_col=chord_length.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "chord_length", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.1524, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9fea766cc555610adbf20686cb054f26baff1773 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-11e3-74b1-8e73-d368545b33a8"} +{"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_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f07ca7ad375d1cc174e473073983cb939dcebb63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-11e3-74b1-8e73-d368545b33a8"} +{"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_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..54454a96778d0625aa2ea0eabd9c0e6138db62d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-2296-7261-99b1-edd7e8174879"} +{"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 CAST(\\\"free_stream_velocity\\\" AS REAL) AS \\\"free_stream_velocity\\\",\\n CAST(\\\"chord_length\\\" AS REAL) AS \\\"chord_length\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY CAST(\\\"free_stream_velocity\\\" AS REAL)\\n ORDER BY CAST(\\\"chord_length\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY CAST(\\\"free_stream_velocity\\\" AS REAL)\\n ) AS \\\"cnt\\\"\\n FROM \\\"n2\\\"\\n WHERE \\\"free_stream_velocity\\\" IS NOT NULL\\n AND \\\"chord_length\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"free_stream_velocity\\\",\\n MIN(\\\"chord_length\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" >= 0.9 * \\\"cnt\\\"\\n AND \\\"cnt\\\" >= 5\\nGROUP BY \\\"free_stream_velocity\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a grouped nearest-rank 90th percentile approximation. Both bound columns are stored as TEXT in the schema, so they are CAST to REAL before grouping, ordering, and ranking; the bound minimum group size of 5 is applied.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13731,"cached_input_tokens":12672,"output_tokens":1681,"reasoning_output_tokens":1385}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e48eaecdd7bb5afee7e17d0ed6c30f2590de6b6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n CAST(\"free_stream_velocity\" AS REAL) AS \"free_stream_velocity\",\n CAST(\"chord_length\" AS REAL) AS \"chord_length\",\n ROW_NUMBER() OVER (\n PARTITION BY CAST(\"free_stream_velocity\" AS REAL)\n ORDER BY CAST(\"chord_length\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY CAST(\"free_stream_velocity\" AS REAL)\n ) AS \"cnt\"\n FROM \"n2\"\n WHERE \"free_stream_velocity\" IS NOT NULL\n AND \"chord_length\" IS NOT NULL\n)\nSELECT\n \"free_stream_velocity\",\n MIN(\"chord_length\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"rn\" >= 0.9 * \"cnt\"\n AND \"cnt\" >= 5\nGROUP BY \"free_stream_velocity\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a grouped nearest-rank 90th percentile approximation. Both bound columns are stored as TEXT in the schema, so they are CAST to REAL before grouping, ordering, and ranking; the bound minimum group size of 5 is applied."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6637970ade69ba2f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/conversation.jsonl 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a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..43cb7b5b019fd969f9ca0a134e2c05332a5fc0ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_67581bf6eadb6dfb", + "api_calls": 0, + "input_tokens": 13701, + "cached_input_tokens": 12672, + "output_tokens": 582, + "total_tokens": 14283, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22317.9, + "sql_execution_elapsed_ms_total": 6.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eee83a5c05f92de4ca9239d8356237607b8a2383 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:19.212402+00:00", + "ended_at": "2026-05-19T15:39:41.530335+00:00", + "elapsed_ms": 22317.9, + "prompt_metrics": { + "chars": 5704, + "bytes_utf8": 5704, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1334, + "bytes_utf8": 1334, + "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": 634, + "bytes_utf8": 634, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13701, + "cached_input_tokens": 12672, + "output_tokens": 582, + "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_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb7b144072a8dec4a9d3e6f83d0b533f39e0b17f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=free_stream_velocity, measure_col=frequency.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "frequency", + "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": 4000.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..77a50fa63ad0abd6a26d6e1dfaea3054ada251e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e4-3a2b-7913-a828-bebca420521e"} +{"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 1991132, Requested 14336. Please try again in 164ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"free_stream_velocity\\\",\\n AVG(CAST(\\\"frequency\\\" AS REAL)) OVER (PARTITION BY \\\"free_stream_velocity\\\") AS avg_measure\\nFROM \\\"n2\\\"\\nWHERE \\\"free_stream_velocity\\\" IS NOT NULL\\n AND \\\"free_stream_velocity\\\" <> ''\\n AND \\\"frequency\\\" IS NOT NULL\\n AND \\\"frequency\\\" <> ''\\nORDER BY avg_measure DESC;\",\"notes\":\"Uses the Window Partition Average template with group_col bound to free_stream_velocity and measure_col bound to frequency. CAST is applied because the schema stores numeric fields as TEXT, and simple null/empty filtering provides a stable view.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13701,"cached_input_tokens":12672,"output_tokens":582,"reasoning_output_tokens":429}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3b92f7e726dc6aa91e6503f48b06e6ce5f42427 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n \"free_stream_velocity\",\n AVG(CAST(\"frequency\" AS REAL)) OVER (PARTITION BY \"free_stream_velocity\") AS avg_measure\nFROM \"n2\"\nWHERE \"free_stream_velocity\" IS NOT NULL\n AND \"free_stream_velocity\" <> ''\n AND \"frequency\" IS NOT NULL\n AND \"frequency\" <> ''\nORDER BY avg_measure DESC;","notes":"Uses the Window Partition Average template with group_col bound to free_stream_velocity and measure_col bound to frequency. CAST is applied because the schema stores numeric fields as TEXT, and simple null/empty filtering provides a stable view."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_67581bf6eadb6dfb/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f7d9b6917ba7ebc82f604d4a9530a4dd5559e594 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6064, "bytes_utf8": 6064, "lines": 170, "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": 743, "bytes_utf8": 743, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13813, "cached_input_tokens": 12032, "output_tokens": 700, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..911430328aefe350682cfdd59d2927230abc96d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_675f5c79462e1915", + "api_calls": 0, + "input_tokens": 13813, + "cached_input_tokens": 12032, + "output_tokens": 700, + "total_tokens": 14513, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17611.98, + "sql_execution_elapsed_ms_total": 3.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a57a79441ddc1ae9e356018832a05f74f0acbf95 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:48.101676+00:00", + "ended_at": "2026-05-19T15:37:05.713692+00:00", + "elapsed_ms": 17611.98, + "prompt_metrics": { + "chars": 6064, + "bytes_utf8": 6064, + "lines": 170, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1136, + "bytes_utf8": 1136, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 743, + "bytes_utf8": 743, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13813, + "cached_input_tokens": 12032, + "output_tokens": 700, + "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_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7040d59d033697c6d04eabfd0c42f3bfbfd99896 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,170 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=free_stream_velocity, measure_col=free_stream_velocity.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "free_stream_velocity", + "item_col": "displacement_thickness", + "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": 55.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "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_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..93e7a0e88320b48378c1263cb7c117d15b12e97d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-ebda-7853-bf98-19ce0d692c66"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"free_stream_velocity\\\", \\\"displacement_thickness\\\",\\n SUM(CAST(\\\"free_stream_velocity\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"free_stream_velocity\\\" AS REAL)) * 100.0\\n / SUM(SUM(CAST(\\\"free_stream_velocity\\\" AS REAL))) OVER (PARTITION BY \\\"free_stream_velocity\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\", \\\"displacement_thickness\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"free_stream_velocity\\\", item_col=\\\"displacement_thickness\\\", and measure_col=\\\"free_stream_velocity\\\". Cast the measure from TEXT to REAL for SQLite numeric aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13813,"cached_input_tokens":12032,"output_tokens":700,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..159dff4a8bb1e0537279a6293ab39e4d3abfdaa1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"free_stream_velocity\", \"displacement_thickness\",\n SUM(CAST(\"free_stream_velocity\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"free_stream_velocity\" AS REAL)) * 100.0\n / SUM(SUM(CAST(\"free_stream_velocity\" AS REAL))) OVER (PARTITION BY \"free_stream_velocity\") AS \"share_within_group\"\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\", \"displacement_thickness\"\nORDER BY \"share_within_group\" DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"free_stream_velocity\", item_col=\"displacement_thickness\", and measure_col=\"free_stream_velocity\". Cast the measure 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_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_675f5c79462e1915/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9df3167995e69dfebcd2967da3dffe2a1f02ca9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5882, "bytes_utf8": 5882, "lines": 171, "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": 470, "bytes_utf8": 470, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13764, "cached_input_tokens": 12032, "output_tokens": 331, "reasoning_output_tokens": 209}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..22ad14d850ab8ba11eb9c3dc6a58ba6d020ce22c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_6fa07ea420b58fee", + "api_calls": 0, + "input_tokens": 13764, + "cached_input_tokens": 12032, + "output_tokens": 331, + "total_tokens": 14095, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8744.26, + "sql_execution_elapsed_ms_total": 0.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e1a06e79279d3313214a24abf37f8658cc502be5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:44.952432+00:00", + "ended_at": "2026-05-19T15:57:53.696714+00:00", + "elapsed_ms": 8744.26, + "prompt_metrics": { + "chars": 5882, + "bytes_utf8": 5882, + "lines": 171, + "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": 470, + "bytes_utf8": 470, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13764, + "cached_input_tokens": 12032, + "output_tokens": 331, + "reasoning_output_tokens": 209 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..68d19ab242ad28f42d460914a15d7fc6048fcfb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,171 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=free_stream_velocity, condition_col=chord_length.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "free_stream_velocity", + "condition_col": "chord_length", + "condition_value": "0.1524", + "positive_value": "0.0254", + "negative_value": "0.1524", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.2286, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..85421e7fe8ef9400bfbf95ea21e4d417bb5efd6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-197e-71d0-98ed-949db0b9d7b3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"free_stream_velocity\\\",\\n AVG(CASE WHEN \\\"chord_length\\\" = '0.1524' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template with group_col=\\\"free_stream_velocity\\\" and condition_col=\\\"chord_length\\\", measuring the within-group proportion of rows where chord_length equals '0.1524'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13764,"cached_input_tokens":12032,"output_tokens":331,"reasoning_output_tokens":209}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f95d322a77522040d7c972814bb05780d43c61b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"free_stream_velocity\",\n AVG(CASE WHEN \"chord_length\" = '0.1524' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\"\nORDER BY condition_rate DESC;","notes":"Uses the planned Grouped Condition Rate template with group_col=\"free_stream_velocity\" and condition_col=\"chord_length\", measuring the within-group proportion of rows where chord_length equals '0.1524'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_6fa07ea420b58fee/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..496f94a6616b59e5ef7a66d4a56253488b76dbe6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5629, "bytes_utf8": 5629, "lines": 168, "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": 13692, "cached_input_tokens": 12032, "output_tokens": 412, "reasoning_output_tokens": 303}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e06e5d6a75bb1f1984a4d00e2d58e74ca462266f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_76d55bc004713413", + "api_calls": 0, + "input_tokens": 13692, + "cached_input_tokens": 12032, + "output_tokens": 412, + "total_tokens": 14104, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10513.96, + "sql_execution_elapsed_ms_total": 1.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f049f9101153a0f185569da71045f9674c05fbe9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/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": "2026-05-19T15:28:48.357114+00:00", + "ended_at": "2026-05-19T15:28:58.871109+00:00", + "elapsed_ms": 10513.96, + "prompt_metrics": { + "chars": 5629, + "bytes_utf8": 5629, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 787, + "bytes_utf8": 787, + "lines": 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": 13692, + "cached_input_tokens": 12032, + "output_tokens": 412, + "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_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..95532db27a0803626a941c62492581ba3f39d27c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=free_stream_velocity, measure_col=angle_of_attack.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "angle_of_attack", + "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": 8.9, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ca6bed2e846375cdd8f381a1729f699a5035217d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-99ec-7eb0-b328-dab81b97b9cb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"free_stream_velocity\\\",\\n SUM(CAST(\\\"angle_of_attack\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the requested grouped numeric sum template with \\\"free_stream_velocity\\\" as the grouping column and summed CAST(\\\"angle_of_attack\\\" AS REAL) because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13692,"cached_input_tokens":12032,"output_tokens":412,"reasoning_output_tokens":303}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1e416a36a938441203c2bbce518667671f2cf72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT\n \"free_stream_velocity\",\n SUM(CAST(\"angle_of_attack\" AS REAL)) AS \"total_measure\"\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\"\nORDER BY \"total_measure\" DESC;","notes":"Used the requested grouped numeric sum template with \"free_stream_velocity\" as the grouping column and summed CAST(\"angle_of_attack\" AS REAL) because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_76d55bc004713413/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..407f445625148fbd3068c6cef9348b8c50162648 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5640, "bytes_utf8": 5640, "lines": 168, "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": 459, "bytes_utf8": 459, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13692, "cached_input_tokens": 12032, "output_tokens": 489, "reasoning_output_tokens": 377}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..54b12ff58101588c7863d0bda0f92db9dcdc152e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_771bfd4d244849f8", + "api_calls": 0, + "input_tokens": 13692, + "cached_input_tokens": 12032, + "output_tokens": 489, + "total_tokens": 14181, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15025.81, + "sql_execution_elapsed_ms_total": 1.0, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..66f3c2af000c3e3f98fda316c2c58b11947c7ff4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:29.143392+00:00", + "ended_at": "2026-05-19T15:29:44.169226+00:00", + "elapsed_ms": 15025.81, + "prompt_metrics": { + "chars": 5640, + "bytes_utf8": 5640, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 813, + "bytes_utf8": 813, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 459, + "bytes_utf8": 459, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13692, + "cached_input_tokens": 12032, + "output_tokens": 489, + "reasoning_output_tokens": 377 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..221f8063eb9b440bcfd3e86d2cbe2956e5dd8551 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=free_stream_velocity, measure_col=free_stream_velocity.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "free_stream_velocity", + "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": 55.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "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_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7d6ae3fbebd4d5fdaca058d4a4a4a6ff7e9bc2d2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-3938-7f41-b66b-e75fe28da50f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"free_stream_velocity\\\" AS REAL) AS \\\"free_stream_velocity\\\", SUM(CAST(\\\"free_stream_velocity\\\" AS REAL)) AS total_measure\\nFROM \\\"n2\\\"\\nGROUP BY CAST(\\\"free_stream_velocity\\\" AS REAL)\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the grouped numeric sum template with both group and measure bound to \\\"free_stream_velocity\\\". CAST to REAL because the schema stores numeric fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13692,"cached_input_tokens":12032,"output_tokens":489,"reasoning_output_tokens":377}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b52afe328242f6fc403f468016f0be9a9f052740 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT CAST(\"free_stream_velocity\" AS REAL) AS \"free_stream_velocity\", SUM(CAST(\"free_stream_velocity\" AS REAL)) AS total_measure\nFROM \"n2\"\nGROUP BY CAST(\"free_stream_velocity\" AS REAL)\nORDER BY total_measure DESC;","notes":"Applied the grouped numeric sum template with both group and measure bound to \"free_stream_velocity\". CAST 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_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_771bfd4d244849f8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b52c513ffba210745c6c3714b337500dd419d5db --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6195, "bytes_utf8": 6195, "lines": 168, "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": 747, "bytes_utf8": 747, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13830, "cached_input_tokens": 12672, "output_tokens": 654, "reasoning_output_tokens": 470}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..776c8ce764aded44b18005bb7454f4bc25099f4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_78d9db4430e8e4c3", + "api_calls": 0, + "input_tokens": 13830, + "cached_input_tokens": 12672, + "output_tokens": 654, + "total_tokens": 14484, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14068.74, + "sql_execution_elapsed_ms_total": 1.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a1fbf3c7ebadf8f5858a14a0ea607bf26220540c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:16.408498+00:00", + "ended_at": "2026-05-19T15:46:30.477262+00:00", + "elapsed_ms": 14068.74, + "prompt_metrics": { + "chars": 6195, + "bytes_utf8": 6195, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1111, + "bytes_utf8": 1111, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 747, + "bytes_utf8": 747, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13830, + "cached_input_tokens": 12672, + "output_tokens": 654, + "reasoning_output_tokens": 470 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..88f2413cc6ef78d6285c0cbd32c50fef0c8c4a14 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=free_stream_velocity, measure_col=free_stream_velocity.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "free_stream_velocity", + "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": 55.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH 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_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..166db5204bdac34a8fb08b5a4f8f05402c93aef9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-97e5-7510-a4dc-9f0cab6f9e1c"} +{"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 CAST(\\\"free_stream_velocity\\\" AS REAL) AS \\\"free_stream_velocity\\\",\\n SUM(CAST(\\\"free_stream_velocity\\\" AS REAL)) AS group_value\\n FROM \\\"n2\\\"\\n GROUP BY CAST(\\\"free_stream_velocity\\\" AS REAL)\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"free_stream_velocity\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the requested template with group_col=free_stream_velocity and measure_col=free_stream_velocity. Casts to REAL are required because the SQLite schema stores these numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13830,"cached_input_tokens":12672,"output_tokens":654,"reasoning_output_tokens":470}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..04c5ad87dc0daab6dacae11336ea7c4b4886259d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT CAST(\"free_stream_velocity\" AS REAL) AS \"free_stream_velocity\",\n SUM(CAST(\"free_stream_velocity\" AS REAL)) AS group_value\n FROM \"n2\"\n GROUP BY CAST(\"free_stream_velocity\" AS REAL)\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"free_stream_velocity\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Used the requested template with group_col=free_stream_velocity and measure_col=free_stream_velocity. Casts to REAL are required because the SQLite schema stores these numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_78d9db4430e8e4c3/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_79f2542c86d54f27/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_79f2542c86d54f27/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ba0152ef1ea59bdb2922bdd82dd7cf3683aa3c88 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_79f2542c86d54f27/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5607, "bytes_utf8": 5607, "lines": 166, "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": 5607, "bytes_utf8": 5607, "lines": 166, "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": 341, "bytes_utf8": 341, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13701, "cached_input_tokens": 12032, "output_tokens": 275, "reasoning_output_tokens": 184}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_79f2542c86d54f27/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_79f2542c86d54f27/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2f8295f466f7c2b0f075778f1808e5958a051055 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_79f2542c86d54f27/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:46.665738+00:00", + "ended_at": "2026-05-19T16:02:56.270415+00:00", + "elapsed_ms": 9604.64, + "prompt_metrics": { + "chars": 5607, + "bytes_utf8": 5607, + "lines": 166, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 694, + "bytes_utf8": 694, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 341, + "bytes_utf8": 341, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13701, + "cached_input_tokens": 12032, + "output_tokens": 275, + "reasoning_output_tokens": 184 + } + }, + "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_c/n2/artifacts/v2q_n2_79f2542c86d54f27/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_79f2542c86d54f27/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac3468df652d3e13a995f213ce4a7db3ca9dea82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_79f2542c86d54f27/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-a23d-7d90-970a-70fed17e6dff"} +{"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_c/n2/artifacts/v2q_n2_79f2542c86d54f27/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_79f2542c86d54f27/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..02da6bb6645733df5e87bf6a71d27cec9003e792 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_79f2542c86d54f27/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"free_stream_velocity\",\n COUNT(*) AS support\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\"\nORDER BY support ASC, \"free_stream_velocity\"\nLIMIT 15;","notes":"Counts rows for each \"free_stream_velocity\" value and returns the 15 groups with the lowest support."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_79f2542c86d54f27/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_79f2542c86d54f27/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..77444cbe6187e1b96eecb2be357f87cb3ea8a616 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5524, "bytes_utf8": 5524, "lines": 166, "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": 408, "bytes_utf8": 408, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13663, "cached_input_tokens": 12032, "output_tokens": 268, "reasoning_output_tokens": 165}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..793a3988d1d0ee9113b90513c43cdb455029fcfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_7c541bff6070b35f", + "api_calls": 0, + "input_tokens": 13663, + "cached_input_tokens": 12032, + "output_tokens": 268, + "total_tokens": 13931, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9991.8, + "sql_execution_elapsed_ms_total": 1.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b5b65dd287b77e2123a3464355aac39fc1232a04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:32:09.602536+00:00", + "ended_at": "2026-05-19T15:32:19.594374+00:00", + "elapsed_ms": 9991.8, + "prompt_metrics": { + "chars": 5524, + "bytes_utf8": 5524, + "lines": 166, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 766, + "bytes_utf8": 766, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 408, + "bytes_utf8": 408, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13663, + "cached_input_tokens": 12032, + "output_tokens": 268, + "reasoning_output_tokens": 165 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..16dceddbd6e759a9b9bc17fc43a88c1d41233e98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,166 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=free_stream_velocity.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "free_stream_velocity", + "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": 71.3, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..da5423a6fb0a37f7545bf4d7cbbdda61025da496 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-ac2a-7213-8e84-94e4ec6b965e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"free_stream_velocity\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned grouped-count template with group_col bound to \\\"free_stream_velocity\\\" on the single table \\\"n2\\\". The column is typed as TEXT in SQLite, so grouping is performed on its stored text values.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13663,"cached_input_tokens":12032,"output_tokens":268,"reasoning_output_tokens":165}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..aff679a81725aff8a7e058624b8042a8f8f29a94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"free_stream_velocity\", COUNT(*) AS \"row_count\"\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\"\nORDER BY \"row_count\" DESC;","notes":"Uses the planned grouped-count template with group_col bound to \"free_stream_velocity\" on the single table \"n2\". The column is typed as TEXT in SQLite, so grouping is performed on its stored text values."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_7c541bff6070b35f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dd929cd87fa8dc9dd5e36de8ed8720d837e17701 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5784, "bytes_utf8": 5784, "lines": 166, "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": 554, "bytes_utf8": 554, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13743, "cached_input_tokens": 12672, "output_tokens": 439, "reasoning_output_tokens": 288}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3756ad5e832f39612996c44de4065817dc6030fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_983bc98bf7fed977", + "api_calls": 0, + "input_tokens": 13743, + "cached_input_tokens": 12672, + "output_tokens": 439, + "total_tokens": 14182, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14073.52, + "sql_execution_elapsed_ms_total": 5.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..29234ab13344186dd953c6b5e4167b8d7bff921a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/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": "2026-05-19T15:42:18.312271+00:00", + "ended_at": "2026-05-19T15:42:32.385831+00:00", + "elapsed_ms": 14073.52, + "prompt_metrics": { + "chars": 5784, + "bytes_utf8": 5784, + "lines": 166, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 930, + "bytes_utf8": 930, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 554, + "bytes_utf8": 554, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13743, + "cached_input_tokens": 12672, + "output_tokens": 439, + "reasoning_output_tokens": 288 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f192d54692599f860a628df5cfb401c2451150d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,166 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=free_stream_velocity.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "free_stream_velocity", + "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": 71.3, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cf18527475cd5ccae8f07e1979536527ff3aa3d0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-f5d4-78f2-a816-8914accb16b1"} +{"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 \\\"free_stream_velocity\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"free_stream_velocity\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n2\\\"\\n)\\nSELECT \\\"free_stream_velocity\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"free_stream_velocity\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"free_stream_velocity\\\" and num_tiles=10. Cast to REAL because the schema stores numeric fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13743,"cached_input_tokens":12672,"output_tokens":439,"reasoning_output_tokens":288}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..51247ddc0758e731c8b337a32c6102ac887f8e71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"free_stream_velocity\",\n NTILE(10) OVER (ORDER BY CAST(\"free_stream_velocity\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"n2\"\n)\nSELECT \"free_stream_velocity\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"free_stream_velocity\" AS REAL) DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"free_stream_velocity\" and num_tiles=10. Cast 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_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_983bc98bf7fed977/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a7a67ff901256cc88991f868eb39b2062c389442 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/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": "2026-05-19T15:56:29.871117+00:00", + "ended_at": "2026-05-19T15:56:32.983765+00:00", + "elapsed_ms": 3112.62, + "returncode": 1, + "prompt_metrics": { + "chars": 5803, + "bytes_utf8": 5803, + "lines": 168, + "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_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0c5873b68a8ffc9b5d0570f0e8e951111f2fddd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/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": "2026-05-19T15:56:33.986196+00:00", + "ended_at": "2026-05-19T15:56:37.436364+00:00", + "elapsed_ms": 3450.12, + "returncode": 1, + "prompt_metrics": { + "chars": 5803, + "bytes_utf8": 5803, + "lines": 168, + "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_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..eea9f979884d6c1e7854f9423c7e2876519aef41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=free_stream_velocity, measure_col=chord_length.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "chord_length", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.2286, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..eea9f979884d6c1e7854f9423c7e2876519aef41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=free_stream_velocity, measure_col=chord_length.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "chord_length", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.2286, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d01c5cb013755b793fc7e2bc5ce83e14a2009b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-f446-7932-8caf-68b485706bea"} +{"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_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c695020b7a05626045dd636b95a8c076904782f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-f446-7932-8caf-68b485706bea"} +{"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_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..885a947cbd2d16d82bd01efe9bdd53e496c73a2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-046a-7e51-8dca-eb5c9fa03a59"} +{"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_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..376b5893930a50481fde12aec38312353417c9eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-046a-7e51-8dca-eb5c9fa03a59"} +{"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_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_9ede8355feebb859/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..78b15802988767a1e97e1af6eee40f88ceb22508 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:59.293618+00:00", + "ended_at": "2026-05-19T16:05:02.481632+00:00", + "elapsed_ms": 3187.99, + "returncode": 1, + "prompt_metrics": { + "chars": 5793, + "bytes_utf8": 5793, + "lines": 168, + "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_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..28911088885d4bc642f043d410660b82fd81299c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:03.483126+00:00", + "ended_at": "2026-05-19T16:05:08.185784+00:00", + "elapsed_ms": 4702.63, + "returncode": 1, + "prompt_metrics": { + "chars": 5793, + "bytes_utf8": 5793, + "lines": 168, + "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_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b1d6b6394d206124d6cb90ad97238d003db7f1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n2", + "question": "Use template Thresholded Group Ranking to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=free_stream_velocity, measure_col=chord_length.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "chord_length", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.2286, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b1d6b6394d206124d6cb90ad97238d003db7f1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_thresholded_group_ranking", + "template_name": "Thresholded Group Ranking", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "n2", + "question": "Use template Thresholded Group Ranking to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=free_stream_velocity, measure_col=chord_length.", + "planned_template_id": "tpl_tpch_thresholded_group_ranking", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "chord_length", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.2286, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nHAVING SUM({measure_col}) > {measure_threshold}\nORDER BY total_measure DESC\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..59fd259e51954d434599114cd7a680b0da02b25a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-ba30-72f2-bf79-83511b873096"} +{"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_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..54812a000ef074bd3328f4c770ed41c23d6f59e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-ba30-72f2-bf79-83511b873096"} +{"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_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cacba41c7c068dbf008917274b9e8b2b0d119a3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-ca80-7f20-80fc-f3c172c0df65"} +{"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_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6784db44d609c7b1536f72948a98bcfbd29d4b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-ca80-7f20-80fc-f3c172c0df65"} +{"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_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_a6820fb878f3ba96/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c8622253bd0f98981a510053a92573c8f2d82a42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5602, "bytes_utf8": 5602, "lines": 166, "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": 5602, "bytes_utf8": 5602, "lines": 166, "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": 397, "bytes_utf8": 397, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13698, "cached_input_tokens": 12032, "output_tokens": 285, "reasoning_output_tokens": 185}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b309b3463ce6896868bb6e250a05ba027c50c818 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_b29a2e183a1a5640", + "api_calls": 0, + "input_tokens": 13698, + "cached_input_tokens": 12032, + "output_tokens": 285, + "total_tokens": 13983, + "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": 15695.09, + "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_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..241becebef90647eb9c194c8860772aae4bed06e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/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": "2026-05-19T16:01:15.687945+00:00", + "ended_at": "2026-05-19T16:01:23.561721+00:00", + "elapsed_ms": 7873.75, + "returncode": 1, + "prompt_metrics": { + "chars": 5602, + "bytes_utf8": 5602, + "lines": 166, + "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_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..23d2d321d2395799012da8a1738b12034ff83975 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/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": "2026-05-19T16:01:24.563285+00:00", + "ended_at": "2026-05-19T16:01:32.384661+00:00", + "elapsed_ms": 7821.34, + "prompt_metrics": { + "chars": 5602, + "bytes_utf8": 5602, + "lines": 166, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 746, + "bytes_utf8": 746, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 397, + "bytes_utf8": 397, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13698, + "cached_input_tokens": 12032, + "output_tokens": 285, + "reasoning_output_tokens": 185 + } + }, + "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_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..773308ae8290dcda60ac4ec744eab1f9862b0e8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,166 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=free_stream_velocity.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "free_stream_velocity", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.9, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..773308ae8290dcda60ac4ec744eab1f9862b0e8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,166 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=free_stream_velocity.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "free_stream_velocity", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.9, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..286156aa9bc838ff545d71ff47e6e89f238d94c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-50ab-7710-8777-23ff680a5e3b"} +{"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_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e91759a817584cf1bfee7b979d744d4ea5029835 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-50ab-7710-8777-23ff680a5e3b"} +{"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_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9ee54d76ae85377979d357555821119089efcc2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-734a-7072-aadc-84e359bbca73"} +{"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 \\\"free_stream_velocity\\\",\\n COUNT(*) AS support\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\"\\nORDER BY support ASC, \\\"free_stream_velocity\\\"\\nLIMIT 11;\",\"notes\":\"Applies the Low-Support Group Count template with group_col bound to free_stream_velocity, returning the 11 velocity groups with the smallest row support.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13698,"cached_input_tokens":12032,"output_tokens":285,"reasoning_output_tokens":185}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b473c932670b47367e882cd24496f3d594568ddf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"free_stream_velocity\",\n COUNT(*) AS support\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\"\nORDER BY support ASC, \"free_stream_velocity\"\nLIMIT 11;","notes":"Applies the Low-Support Group Count template with group_col bound to free_stream_velocity, returning the 11 velocity groups with the smallest row support."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b29a2e183a1a5640/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..575dc88e8f0a3a12f090f7cad78e1da4b7b56b9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6065, "bytes_utf8": 6065, "lines": 170, "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": 686, "bytes_utf8": 686, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13815, "cached_input_tokens": 12672, "output_tokens": 554, "reasoning_output_tokens": 375}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..81af1849435d2e3e839ddb51a869bed67bace11c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_b2b35d261ad1c476", + "api_calls": 0, + "input_tokens": 13815, + "cached_input_tokens": 12672, + "output_tokens": 554, + "total_tokens": 14369, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12359.66, + "sql_execution_elapsed_ms_total": 1.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..747d5f978bc73cdc04c29e13cf1233d547b89b80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:44.866140+00:00", + "ended_at": "2026-05-19T15:34:57.225841+00:00", + "elapsed_ms": 12359.66, + "prompt_metrics": { + "chars": 6065, + "bytes_utf8": 6065, + "lines": 170, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1065, + "bytes_utf8": 1065, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 686, + "bytes_utf8": 686, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13815, + "cached_input_tokens": 12672, + "output_tokens": 554, + "reasoning_output_tokens": 375 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9124ace4fc01dc8f32d8362be1dce84f95777528 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,170 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=free_stream_velocity, measure_col=displacement_thickness.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "displacement_thickness", + "item_col": "displacement_thickness", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.015576, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a1d6b7bf7aefed01c0af40bc7237a6ab4d3d283a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-0a95-7b02-a04f-b9da50dab238"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"free_stream_velocity\\\",\\n \\\"displacement_thickness\\\",\\n SUM(CAST(\\\"displacement_thickness\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"displacement_thickness\\\" AS REAL)) * 100.0 /\\n SUM(SUM(CAST(\\\"displacement_thickness\\\" AS REAL))) OVER (PARTITION BY \\\"free_stream_velocity\\\") AS share_within_group\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\", \\\"displacement_thickness\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the required template with group_col=\\\"free_stream_velocity\\\" and item_col/measure_col=\\\"displacement_thickness\\\". CAST to REAL is applied because the schema stores numeric values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13815,"cached_input_tokens":12672,"output_tokens":554,"reasoning_output_tokens":375}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..60c912f1def49aaf62cc478765f362c274ddec08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"free_stream_velocity\",\n \"displacement_thickness\",\n SUM(CAST(\"displacement_thickness\" AS REAL)) AS total_measure,\n SUM(CAST(\"displacement_thickness\" AS REAL)) * 100.0 /\n SUM(SUM(CAST(\"displacement_thickness\" AS REAL))) OVER (PARTITION BY \"free_stream_velocity\") AS share_within_group\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\", \"displacement_thickness\"\nORDER BY share_within_group DESC;","notes":"Uses the required template with group_col=\"free_stream_velocity\" and item_col/measure_col=\"displacement_thickness\". CAST to REAL is applied because the schema stores numeric values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b2b35d261ad1c476/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ea53fb92c315e64fee1e7e387d07cceeaa390abe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5805, "bytes_utf8": 5805, "lines": 168, "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": 1201, "bytes_utf8": 1201, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13731, "cached_input_tokens": 12672, "output_tokens": 2911, "reasoning_output_tokens": 2587}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..71fceb4aa3e3974e5139831dec7ee1557a48f1d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_b8b09ae42e5cbe76", + "api_calls": 0, + "input_tokens": 13731, + "cached_input_tokens": 12672, + "output_tokens": 2911, + "total_tokens": 16642, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 44630.98, + "sql_execution_elapsed_ms_total": 5.55, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6db2caaf16bff299cb19deaad6fdf88fbf5cf41d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:39.724105+00:00", + "ended_at": "2026-05-19T15:53:24.355107+00:00", + "elapsed_ms": 44630.98, + "prompt_metrics": { + "chars": 5805, + "bytes_utf8": 5805, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1654, + "bytes_utf8": 1654, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1201, + "bytes_utf8": 1201, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13731, + "cached_input_tokens": 12672, + "output_tokens": 2911, + "reasoning_output_tokens": 2587 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffbf4547ffbc388e60de4ef184903e1cdd5bb1c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=free_stream_velocity, measure_col=chord_length.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "chord_length", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.1524, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..55f9a749864bfde2c512f31c313f57bdec27f7a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-7151-7212-86de-7234b4d3e7e0"} +{"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 CAST(\\\"free_stream_velocity\\\" AS REAL) AS \\\"free_stream_velocity\\\",\\n CAST(\\\"chord_length\\\" AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY CAST(\\\"free_stream_velocity\\\" AS REAL)\\n ORDER BY CAST(\\\"chord_length\\\" AS REAL)\\n ) AS \\\"cum_dist\\\",\\n COUNT(*) OVER (\\n PARTITION BY CAST(\\\"free_stream_velocity\\\" AS REAL)\\n ) AS \\\"group_size\\\"\\n FROM \\\"n2\\\"\\n WHERE \\\"free_stream_velocity\\\" IS NOT NULL\\n AND TRIM(\\\"free_stream_velocity\\\") <> ''\\n AND \\\"chord_length\\\" IS NOT NULL\\n AND TRIM(\\\"chord_length\\\") <> ''\\n)\\nSELECT\\n \\\"free_stream_velocity\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cum_dist\\\" >= 0.95\\n AND \\\"group_size\\\" >= 5\\nGROUP BY \\\"free_stream_velocity\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a window-function nearest-rank approximation: the smallest casted \\\"chord_length\\\" whose cumulative distribution within each casted \\\"free_stream_velocity\\\" group reaches at least 0.95. It also applies the provided minimum group size of 5.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13731,"cached_input_tokens":12672,"output_tokens":2911,"reasoning_output_tokens":2587}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..17701ebe789451a798214e1a822cd03a1cf46cc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n CAST(\"free_stream_velocity\" AS REAL) AS \"free_stream_velocity\",\n CAST(\"chord_length\" AS REAL) AS \"measure_value\",\n CUME_DIST() OVER (\n PARTITION BY CAST(\"free_stream_velocity\" AS REAL)\n ORDER BY CAST(\"chord_length\" AS REAL)\n ) AS \"cum_dist\",\n COUNT(*) OVER (\n PARTITION BY CAST(\"free_stream_velocity\" AS REAL)\n ) AS \"group_size\"\n FROM \"n2\"\n WHERE \"free_stream_velocity\" IS NOT NULL\n AND TRIM(\"free_stream_velocity\") <> ''\n AND \"chord_length\" IS NOT NULL\n AND TRIM(\"chord_length\") <> ''\n)\nSELECT\n \"free_stream_velocity\",\n MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cum_dist\" >= 0.95\n AND \"group_size\" >= 5\nGROUP BY \"free_stream_velocity\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a window-function nearest-rank approximation: the smallest casted \"chord_length\" whose cumulative distribution within each casted \"free_stream_velocity\" group reaches at least 0.95. It also applies the provided minimum group size of 5."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_b8b09ae42e5cbe76/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..55bc16904fff5b376c9134b307ceb90988c49cef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5704, "bytes_utf8": 5704, "lines": 168, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 456, "bytes_utf8": 456, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13700, "cached_input_tokens": 12672, "output_tokens": 239, "reasoning_output_tokens": 130}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..db7752f392c75ca2bbf0cd55475e2cb1d5d7b861 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_c1829dde74d09a76", + "api_calls": 0, + "input_tokens": 13700, + "cached_input_tokens": 12672, + "output_tokens": 239, + "total_tokens": 13939, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12213.53, + "sql_execution_elapsed_ms_total": 2.65, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..789291e2b72b3d1df5f63d558d4a7bb23c2efac8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/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": "2026-05-19T15:41:23.643105+00:00", + "ended_at": "2026-05-19T15:41:35.856679+00:00", + "elapsed_ms": 12213.53, + "prompt_metrics": { + "chars": 5704, + "bytes_utf8": 5704, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 815, + "bytes_utf8": 815, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 456, + "bytes_utf8": 456, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13700, + "cached_input_tokens": 12672, + "output_tokens": 239, + "reasoning_output_tokens": 130 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb55f06b981cfa4bedc3a0115c25939ea683fa69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=free_stream_velocity, measure_col=frequency.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "frequency", + "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": 3150.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..070709d46b86ca415da5eb8d75db2803f06638ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-2049-7523-b5f1-907cc250e18e"} +{"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 \\\"free_stream_velocity\\\",\\n AVG(CAST(\\\"frequency\\\" AS REAL)) OVER (PARTITION BY \\\"free_stream_velocity\\\") AS avg_measure\\nFROM \\\"n2\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Used the required Window Partition Average template with group_col=\\\"free_stream_velocity\\\" and measure_col=\\\"frequency\\\". Cast \\\"frequency\\\" to REAL because the schema stores numeric fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13700,"cached_input_tokens":12672,"output_tokens":239,"reasoning_output_tokens":130}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..78f1b82ef8993d5cc30a0ff063ff453570756fae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n \"free_stream_velocity\",\n AVG(CAST(\"frequency\" AS REAL)) OVER (PARTITION BY \"free_stream_velocity\") AS avg_measure\nFROM \"n2\"\nORDER BY avg_measure DESC;","notes":"Used the required Window Partition Average template with group_col=\"free_stream_velocity\" and measure_col=\"frequency\". Cast \"frequency\" 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_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c1829dde74d09a76/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6a9b473a0e6d31bfc02ff7414f680e23e96736c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5607, "bytes_utf8": 5607, "lines": 166, "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": 5607, "bytes_utf8": 5607, "lines": 166, "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": 375, "bytes_utf8": 375, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13700, "cached_input_tokens": 12032, "output_tokens": 289, "reasoning_output_tokens": 190}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5218a978517f5f04cc0ab9408d2a63e1a0809ba6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_c9989428173534ee", + "api_calls": 0, + "input_tokens": 13700, + "cached_input_tokens": 12032, + "output_tokens": 289, + "total_tokens": 13989, + "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": 11576.01, + "sql_execution_elapsed_ms_total": 0.63, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8c0e454caef03738427a96c529ab17641f7cca27 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/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": "2026-05-19T16:01:03.105807+00:00", + "ended_at": "2026-05-19T16:01:06.224634+00:00", + "elapsed_ms": 3118.8, + "returncode": 1, + "prompt_metrics": { + "chars": 5607, + "bytes_utf8": 5607, + "lines": 166, + "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_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e21351fdc593093360e9f277a33b6b239315d62b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/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": "2026-05-19T16:01:07.226978+00:00", + "ended_at": "2026-05-19T16:01:15.684253+00:00", + "elapsed_ms": 8457.21, + "prompt_metrics": { + "chars": 5607, + "bytes_utf8": 5607, + "lines": 166, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 732, + "bytes_utf8": 732, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 375, + "bytes_utf8": 375, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13700, + "cached_input_tokens": 12032, + "output_tokens": 289, + "reasoning_output_tokens": 190 + } + }, + "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_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..72a4d76bf36e517e02d2200677212e90b4d55f90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,166 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=free_stream_velocity.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "free_stream_velocity", + "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": 4000.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..72a4d76bf36e517e02d2200677212e90b4d55f90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,166 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=free_stream_velocity.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "free_stream_velocity", + "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": 4000.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b902d70063d187f05910f893a6508379bcd88b92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-1f8a-74c1-8650-a5114828d8d2"} +{"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_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4772004de98fc04a0e5a8ffa2bf32b89c628bc44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-1f8a-74c1-8650-a5114828d8d2"} +{"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_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b470cb57abdca876c5a5db3667c8a5105849238 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-2fb5-7cc0-b38c-826cf19bccfb"} +{"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 \\\"free_stream_velocity\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\"\\nORDER BY \\\"support\\\" ASC, \\\"free_stream_velocity\\\"\\nLIMIT 15;\",\"notes\":\"Applies the Low-Support Group Count template to count rows per free_stream_velocity and return the 15 lowest-support groups.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13700,"cached_input_tokens":12032,"output_tokens":289,"reasoning_output_tokens":190}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfd0393a7092198135360ea4071b2375400d50de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"free_stream_velocity\",\n COUNT(*) AS \"support\"\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\"\nORDER BY \"support\" ASC, \"free_stream_velocity\"\nLIMIT 15;","notes":"Applies the Low-Support Group Count template to count rows per free_stream_velocity and return the 15 lowest-support groups."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_c9989428173534ee/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..09817f212f73011342c70a91c6b7995feb491dcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6037, "bytes_utf8": 6037, "lines": 170, "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": 655, "bytes_utf8": 655, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13811, "cached_input_tokens": 12032, "output_tokens": 691, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5cdd42e31c4429de5d800a5dd14a09a9bbce8db6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d00a0aff78080945/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_d00a0aff78080945", + "api_calls": 0, + "input_tokens": 13811, + "cached_input_tokens": 12032, + "output_tokens": 691, + "total_tokens": 14502, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17565.07, + "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_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1ba03dd80d7098afce4ac9da7368d99c7019cb82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:00.257695+00:00", + "ended_at": "2026-05-19T15:34:17.822800+00:00", + "elapsed_ms": 17565.07, + "prompt_metrics": { + "chars": 6037, + "bytes_utf8": 6037, + "lines": 170, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1037, + "bytes_utf8": 1037, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 655, + "bytes_utf8": 655, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13811, + "cached_input_tokens": 12032, + "output_tokens": 691, + "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_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d594d64b965d4264217809398e72a46165fd1dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,170 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=free_stream_velocity, measure_col=chord_length.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "chord_length", + "item_col": "frequency", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.1524, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dab23a3dd847eef0137effc1fdd50f5e6705cb47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-5c38-7251-99f2-5b6fac7d6532"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"free_stream_velocity\\\",\\n \\\"frequency\\\",\\n SUM(CAST(\\\"chord_length\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"chord_length\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"chord_length\\\" AS REAL))) OVER (PARTITION BY \\\"free_stream_velocity\\\") AS share_within_group\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\", \\\"frequency\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Instantiated the Within-Group Share of Total template with group_col=\\\"free_stream_velocity\\\", item_col=\\\"frequency\\\", and measure_col=\\\"chord_length\\\". CAST to REAL is used because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13811,"cached_input_tokens":12032,"output_tokens":691,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..69900b3d1667a6d4169ebb9061bef5440bf86847 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"free_stream_velocity\",\n \"frequency\",\n SUM(CAST(\"chord_length\" AS REAL)) AS total_measure,\n SUM(CAST(\"chord_length\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"chord_length\" AS REAL))) OVER (PARTITION BY \"free_stream_velocity\") AS share_within_group\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\", \"frequency\"\nORDER BY share_within_group DESC;","notes":"Instantiated the Within-Group Share of Total template with group_col=\"free_stream_velocity\", item_col=\"frequency\", and measure_col=\"chord_length\". CAST to REAL 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_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d00a0aff78080945/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..81ef7ef08b271212c2d75c75771ae88528d23abd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5806, "bytes_utf8": 5806, "lines": 168, "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": 2588, "bytes_utf8": 2588, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13730, "cached_input_tokens": 12032, "output_tokens": 3495, "reasoning_output_tokens": 2683}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ae482bfda60c8edd1b8a3010cc067d73a4adabcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_d8ce20499afb33e4", + "api_calls": 0, + "input_tokens": 13730, + "cached_input_tokens": 12032, + "output_tokens": 3495, + "total_tokens": 17225, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 52688.29, + "sql_execution_elapsed_ms_total": 11.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ec9fa30c56e9e00f7befacee1f9ceb26ac77e737 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/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": "2026-05-19T15:50:37.515360+00:00", + "ended_at": "2026-05-19T15:51:30.203684+00:00", + "elapsed_ms": 52688.29, + "prompt_metrics": { + "chars": 5806, + "bytes_utf8": 5806, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 3324, + "bytes_utf8": 3324, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 2588, + "bytes_utf8": 2588, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13730, + "cached_input_tokens": 12032, + "output_tokens": 3495, + "reasoning_output_tokens": 2683 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7fc8b4ace08674ea44f59d4e6eb2da30ecdb8253 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=free_stream_velocity, measure_col=angle_of_attack.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "angle_of_attack", + "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": 9.9, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..354969a82c2e4dc7c4aa6542cbb0877d367519ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-940d-7800-89eb-e8d752cdbbf7"} +{"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 CAST(\\\"free_stream_velocity\\\" AS REAL) AS \\\"free_stream_velocity\\\",\\n CAST(\\\"angle_of_attack\\\" AS REAL) AS \\\"angle_of_attack\\\"\\n FROM \\\"n2\\\"\\n WHERE \\\"free_stream_velocity\\\" IS NOT NULL\\n AND TRIM(\\\"free_stream_velocity\\\") <> ''\\n AND \\\"angle_of_attack\\\" IS NOT NULL\\n AND TRIM(\\\"angle_of_attack\\\") <> ''\\n),\\n\\\"__ranked\\\" AS (\\n SELECT\\n \\\"free_stream_velocity\\\",\\n \\\"angle_of_attack\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"free_stream_velocity\\\"\\n ORDER BY \\\"angle_of_attack\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"free_stream_velocity\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"__base\\\"\\n),\\n\\\"__params\\\" AS (\\n SELECT DISTINCT\\n \\\"free_stream_velocity\\\",\\n \\\"cnt\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.95) AS \\\"pos\\\",\\n CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INTEGER) +\\n CASE\\n WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.95) > CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"__ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n \\\"__params\\\".\\\"free_stream_velocity\\\" AS \\\"free_stream_velocity\\\",\\n CASE\\n WHEN \\\"__params\\\".\\\"lower_rn\\\" = \\\"__params\\\".\\\"upper_rn\\\" THEN\\n MAX(CASE WHEN \\\"__ranked\\\".\\\"rn\\\" = \\\"__params\\\".\\\"lower_rn\\\" THEN \\\"__ranked\\\".\\\"angle_of_attack\\\" END)\\n ELSE\\n MAX(CASE WHEN \\\"__ranked\\\".\\\"rn\\\" = \\\"__params\\\".\\\"lower_rn\\\" THEN \\\"__ranked\\\".\\\"angle_of_attack\\\" END) +\\n (\\\"__params\\\".\\\"pos\\\" - \\\"__params\\\".\\\"lower_rn\\\") *\\n (\\n MAX(CASE WHEN \\\"__ranked\\\".\\\"rn\\\" = \\\"__params\\\".\\\"upper_rn\\\" THEN \\\"__ranked\\\".\\\"angle_of_attack\\\" END) -\\n MAX(CASE WHEN \\\"__ranked\\\".\\\"rn\\\" = \\\"__params\\\".\\\"lower_rn\\\" THEN \\\"__ranked\\\".\\\"angle_of_attack\\\" END)\\n )\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"__params\\\"\\nJOIN \\\"__ranked\\\"\\n ON \\\"__ranked\\\".\\\"free_stream_velocity\\\" = \\\"__params\\\".\\\"free_stream_velocity\\\"\\nGROUP BY\\n \\\"__params\\\".\\\"free_stream_velocity\\\",\\n \\\"__params\\\".\\\"cnt\\\",\\n \\\"__params\\\".\\\"pos\\\",\\n \\\"__params\\\".\\\"lower_rn\\\",\\n \\\"__params\\\".\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Uses the planned grouped percentile template with group_col=\\\"free_stream_velocity\\\" and measure_col=\\\"angle_of_attack\\\". Because SQLite lacks PERCENTILE_CONT, the query emulates the 0.95 continuous percentile per group via window ranking and linear interpolation, casting the source TEXT fields to REAL and filtering to groups with at least 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13730,"cached_input_tokens":12032,"output_tokens":3495,"reasoning_output_tokens":2683}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d3620093cc5eb040f9266b375b1feb0d0ff01106 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"__base\" AS (\n SELECT\n CAST(\"free_stream_velocity\" AS REAL) AS \"free_stream_velocity\",\n CAST(\"angle_of_attack\" AS REAL) AS \"angle_of_attack\"\n FROM \"n2\"\n WHERE \"free_stream_velocity\" IS NOT NULL\n AND TRIM(\"free_stream_velocity\") <> ''\n AND \"angle_of_attack\" IS NOT NULL\n AND TRIM(\"angle_of_attack\") <> ''\n),\n\"__ranked\" AS (\n SELECT\n \"free_stream_velocity\",\n \"angle_of_attack\",\n ROW_NUMBER() OVER (\n PARTITION BY \"free_stream_velocity\"\n ORDER BY \"angle_of_attack\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"free_stream_velocity\"\n ) AS \"cnt\"\n FROM \"__base\"\n),\n\"__params\" AS (\n SELECT DISTINCT\n \"free_stream_velocity\",\n \"cnt\",\n (1.0 + (\"cnt\" - 1) * 0.95) AS \"pos\",\n CAST(1.0 + (\"cnt\" - 1) * 0.95 AS INTEGER) AS \"lower_rn\",\n CAST(1.0 + (\"cnt\" - 1) * 0.95 AS INTEGER) +\n CASE\n WHEN (1.0 + (\"cnt\" - 1) * 0.95) > CAST(1.0 + (\"cnt\" - 1) * 0.95 AS INTEGER) THEN 1\n ELSE 0\n END AS \"upper_rn\"\n FROM \"__ranked\"\n WHERE \"cnt\" >= 5\n)\nSELECT\n \"__params\".\"free_stream_velocity\" AS \"free_stream_velocity\",\n CASE\n WHEN \"__params\".\"lower_rn\" = \"__params\".\"upper_rn\" THEN\n MAX(CASE WHEN \"__ranked\".\"rn\" = \"__params\".\"lower_rn\" THEN \"__ranked\".\"angle_of_attack\" END)\n ELSE\n MAX(CASE WHEN \"__ranked\".\"rn\" = \"__params\".\"lower_rn\" THEN \"__ranked\".\"angle_of_attack\" END) +\n (\"__params\".\"pos\" - \"__params\".\"lower_rn\") *\n (\n MAX(CASE WHEN \"__ranked\".\"rn\" = \"__params\".\"upper_rn\" THEN \"__ranked\".\"angle_of_attack\" END) -\n MAX(CASE WHEN \"__ranked\".\"rn\" = \"__params\".\"lower_rn\" THEN \"__ranked\".\"angle_of_attack\" END)\n )\n END AS \"percentile_measure\"\nFROM \"__params\"\nJOIN \"__ranked\"\n ON \"__ranked\".\"free_stream_velocity\" = \"__params\".\"free_stream_velocity\"\nGROUP BY\n \"__params\".\"free_stream_velocity\",\n \"__params\".\"cnt\",\n \"__params\".\"pos\",\n \"__params\".\"lower_rn\",\n \"__params\".\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;","notes":"Uses the planned grouped percentile template with group_col=\"free_stream_velocity\" and measure_col=\"angle_of_attack\". Because SQLite lacks PERCENTILE_CONT, the query emulates the 0.95 continuous percentile per group via window ranking and linear interpolation, casting the source TEXT fields to REAL and filtering to groups with at least 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_d8ce20499afb33e4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a990ec3f3540c1b21a6ec37bff1c74b0a2e11f2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5537, "bytes_utf8": 5537, "lines": 166, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 365, "bytes_utf8": 365, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13680, "cached_input_tokens": 12032, "output_tokens": 254, "reasoning_output_tokens": 149}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0a626e61cd542785886883866e7de72639e36fc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_e85bf66123e70c16", + "api_calls": 0, + "input_tokens": 13680, + "cached_input_tokens": 12032, + "output_tokens": 254, + "total_tokens": 13934, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7534.39, + "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_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..82bba0cb533b777657fafca85ae53f612295000c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/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": "2026-05-19T16:00:09.635349+00:00", + "ended_at": "2026-05-19T16:00:17.169768+00:00", + "elapsed_ms": 7534.39, + "prompt_metrics": { + "chars": 5537, + "bytes_utf8": 5537, + "lines": 166, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 705, + "bytes_utf8": 705, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 365, + "bytes_utf8": 365, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13680, + "cached_input_tokens": 12032, + "output_tokens": 254, + "reasoning_output_tokens": 149 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d65ce2706f9f71167f169ee74fa2be702562ce4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,166 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=chord_length.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "chord_length", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.2286, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c08953ee61eca7e986abf5bd82ee71452cbef55b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-4ead-7030-8971-baffadca12ae"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"chord_length\\\" AS REAL) <= 0.2286 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\\nFROM \\\"n2\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"chord_length\\\" and measure_threshold fixed at 0.2286. Cast to REAL because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13680,"cached_input_tokens":12032,"output_tokens":254,"reasoning_output_tokens":149}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3dce198348d3a9e6f9c7affe67eb085b0a1ab857 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"chord_length\" AS REAL) <= 0.2286 THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM \"n2\";","notes":"Applied the Threshold Rarity CDF template with measure_col bound to \"chord_length\" and measure_threshold fixed at 0.2286. Cast to REAL because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_e85bf66123e70c16/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1926140bddb71dfe34d9176e20e6ecb3cbf41683 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6192, "bytes_utf8": 6192, "lines": 168, "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": 679, "bytes_utf8": 679, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13828, "cached_input_tokens": 12672, "output_tokens": 430, "reasoning_output_tokens": 255}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3569651a7d4c9d0315bfb6fcc7e6a6891a102142 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_f37f89cb9ebb5957", + "api_calls": 0, + "input_tokens": 13828, + "cached_input_tokens": 12672, + "output_tokens": 430, + "total_tokens": 14258, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10549.36, + "sql_execution_elapsed_ms_total": 0.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b8826ae2c5aa607f14a5c8b60f3d694c82ed3c35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:05.854264+00:00", + "ended_at": "2026-05-19T15:46:16.403655+00:00", + "elapsed_ms": 10549.36, + "prompt_metrics": { + "chars": 6192, + "bytes_utf8": 6192, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1042, + "bytes_utf8": 1042, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 679, + "bytes_utf8": 679, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13828, + "cached_input_tokens": 12672, + "output_tokens": 430, + "reasoning_output_tokens": 255 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..03f194014610ea8f42aebc339c95fb680ea28f9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=free_stream_velocity, measure_col=free_stream_velocity.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "free_stream_velocity", + "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": 71.3, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..75c55695ef7ef9c29fcb2a86932cc0a245c9a857 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-6ebb-7b93-93e5-a8f3f0b4f157"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"free_stream_velocity\\\",\\n SUM(CAST(\\\"free_stream_velocity\\\" AS REAL)) AS group_value\\n FROM \\\"n2\\\"\\n GROUP BY \\\"free_stream_velocity\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"free_stream_velocity\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the required template with group_col=free_stream_velocity and measure_col=free_stream_velocity. CAST to REAL is needed because the schema stores numeric fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13828,"cached_input_tokens":12672,"output_tokens":430,"reasoning_output_tokens":255}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..707fe17ad9170f8345e3cd8c08f29b4e99222bdb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"free_stream_velocity\",\n SUM(CAST(\"free_stream_velocity\" AS REAL)) AS group_value\n FROM \"n2\"\n GROUP BY \"free_stream_velocity\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT\n g.\"free_stream_velocity\",\n g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Applied the required template with group_col=free_stream_velocity and measure_col=free_stream_velocity. CAST to REAL is needed 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_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f37f89cb9ebb5957/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b0ee06818d1e5d035b5193de7161894f73dad3bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 5804, "bytes_utf8": 5804, "lines": 168, "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": 5804, "bytes_utf8": 5804, "lines": 168, "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": 1079, "bytes_utf8": 1079, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13730, "cached_input_tokens": 12672, "output_tokens": 2175, "reasoning_output_tokens": 1891}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9078fbe56cc0a9372b45c7fa84991a2dd8f1b530 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_f48bf2d438375037", + "api_calls": 0, + "input_tokens": 13730, + "cached_input_tokens": 12672, + "output_tokens": 2175, + "total_tokens": 15905, + "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": 37419.7, + "sql_execution_elapsed_ms_total": 4.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b1e8f8586282539fe36e4e7e8ea0cab198a802e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/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": "2026-05-19T15:55:22.113665+00:00", + "ended_at": "2026-05-19T15:55:25.645115+00:00", + "elapsed_ms": 3531.43, + "returncode": 1, + "prompt_metrics": { + "chars": 5804, + "bytes_utf8": 5804, + "lines": 168, + "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_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2aae450a24481a2496bac6b20787d2492c4a1b1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/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": "2026-05-19T15:55:26.647054+00:00", + "ended_at": "2026-05-19T15:56:00.535371+00:00", + "elapsed_ms": 33888.27, + "prompt_metrics": { + "chars": 5804, + "bytes_utf8": 5804, + "lines": 168, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1510, + "bytes_utf8": 1510, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1079, + "bytes_utf8": 1079, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13730, + "cached_input_tokens": 12672, + "output_tokens": 2175, + "reasoning_output_tokens": 1891 + } + }, + "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_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c0b9ef09109011ae422519f4c3b6bdaf3a709d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=free_stream_velocity, measure_col=angle_of_attack.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "angle_of_attack", + "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": 9.9, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c0b9ef09109011ae422519f4c3b6bdaf3a709d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,168 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=free_stream_velocity, measure_col=angle_of_attack.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "angle_of_attack", + "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": 9.9, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..196370758c4997b9c18d566b1cd7af3c75049975 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-eb71-7412-9c08-91f5a78b5258"} +{"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_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..77e443af2fbbcbaadfe93e3fbb201710c11cfef9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-eb71-7412-9c08-91f5a78b5258"} +{"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_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2184a32292c8f4ed39e076d45d920fa40cc3be38 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-fd4a-7cc0-a146-7c8c1bea23bd"} +{"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 \\\"free_stream_velocity\\\",\\n CAST(\\\"angle_of_attack\\\" AS REAL) AS \\\"angle_of_attack_value\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"free_stream_velocity\\\"\\n ) AS \\\"group_size\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"free_stream_velocity\\\"\\n ORDER BY CAST(\\\"angle_of_attack\\\" AS REAL)\\n ) AS \\\"cdf\\\"\\n FROM \\\"n2\\\"\\n WHERE \\\"free_stream_velocity\\\" IS NOT NULL\\n AND \\\"angle_of_attack\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"free_stream_velocity\\\",\\n MIN(\\\"angle_of_attack_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"group_size\\\" >= 5\\n AND \\\"cdf\\\" >= 0.9\\nGROUP BY \\\"free_stream_velocity\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() and takes the first observed angle_of_attack value at or above the 90th percentile within each free_stream_velocity group. Both text-backed numeric fields are handled with REAL casts, and groups with fewer than 5 rows are excluded for stability.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13730,"cached_input_tokens":12672,"output_tokens":2175,"reasoning_output_tokens":1891}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b820ad38fc41b08457e464238411b4f2737a61d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"free_stream_velocity\",\n CAST(\"angle_of_attack\" AS REAL) AS \"angle_of_attack_value\",\n COUNT(*) OVER (\n PARTITION BY \"free_stream_velocity\"\n ) AS \"group_size\",\n CUME_DIST() OVER (\n PARTITION BY \"free_stream_velocity\"\n ORDER BY CAST(\"angle_of_attack\" AS REAL)\n ) AS \"cdf\"\n FROM \"n2\"\n WHERE \"free_stream_velocity\" IS NOT NULL\n AND \"angle_of_attack\" IS NOT NULL\n)\nSELECT\n \"free_stream_velocity\",\n MIN(\"angle_of_attack_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"group_size\" >= 5\n AND \"cdf\" >= 0.9\nGROUP BY \"free_stream_velocity\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() and takes the first observed angle_of_attack value at or above the 90th percentile within each free_stream_velocity group. Both text-backed numeric fields are handled with REAL casts, and groups with fewer than 5 rows are excluded for stability."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f48bf2d438375037/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..11adccf5dd3faba677ae4502a8aeb25326e96648 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6057, "bytes_utf8": 6057, "lines": 170, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 805, "bytes_utf8": 805, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13812, "cached_input_tokens": 12032, "output_tokens": 720, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..31364fcdbb2d1441d6ace3fd7cceca5908491892 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_f55415883cfafe65", + "api_calls": 0, + "input_tokens": 13812, + "cached_input_tokens": 12032, + "output_tokens": 720, + "total_tokens": 14532, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13672.25, + "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_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3f231a8dd5509397b3349474745f1e3857adff36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/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": "2026-05-19T15:36:34.423867+00:00", + "ended_at": "2026-05-19T15:36:48.096141+00:00", + "elapsed_ms": 13672.25, + "prompt_metrics": { + "chars": 6057, + "bytes_utf8": 6057, + "lines": 170, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1208, + "bytes_utf8": 1208, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 805, + "bytes_utf8": 805, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13812, + "cached_input_tokens": 12032, + "output_tokens": 720, + "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_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..70b0c14a6232b84650f9efb189a0d0d4a36a810e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,170 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=free_stream_velocity, measure_col=free_stream_velocity.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "free_stream_velocity", + "measure_col": "free_stream_velocity", + "item_col": "displacement_thickness", + "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": 71.3, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd55e96a755daeeff4344c4d1333e54d75dbf93b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-b677-77c0-8860-c0467222d407"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"free_stream_velocity\\\" AS \\\"free_stream_velocity\\\",\\n \\\"displacement_thickness\\\" AS \\\"displacement_thickness\\\",\\n SUM(CAST(\\\"free_stream_velocity\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"free_stream_velocity\\\" AS REAL)) * 100.0 /\\n SUM(SUM(CAST(\\\"free_stream_velocity\\\" AS REAL))) OVER (PARTITION BY \\\"free_stream_velocity\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n2\\\"\\nGROUP BY \\\"free_stream_velocity\\\", \\\"displacement_thickness\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"free_stream_velocity\\\", item_col=\\\"displacement_thickness\\\", and measure_col=\\\"free_stream_velocity\\\". CAST to REAL is needed because the SQLite schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13812,"cached_input_tokens":12032,"output_tokens":720,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7ed2134ceca4a4cd2b8f593a4899900ab398ed8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"free_stream_velocity\" AS \"free_stream_velocity\",\n \"displacement_thickness\" AS \"displacement_thickness\",\n SUM(CAST(\"free_stream_velocity\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"free_stream_velocity\" AS REAL)) * 100.0 /\n SUM(SUM(CAST(\"free_stream_velocity\" AS REAL))) OVER (PARTITION BY \"free_stream_velocity\") AS \"share_within_group\"\nFROM \"n2\"\nGROUP BY \"free_stream_velocity\", \"displacement_thickness\"\nORDER BY \"share_within_group\" DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"free_stream_velocity\", item_col=\"displacement_thickness\", and measure_col=\"free_stream_velocity\". CAST to REAL is needed because the SQLite schema stores numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_f55415883cfafe65/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b7f840bdf9570c46c06d861a67d481c34e9f75da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/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": "2026-05-19T16:00:39.683631+00:00", + "ended_at": "2026-05-19T16:00:43.939449+00:00", + "elapsed_ms": 4255.79, + "returncode": 1, + "prompt_metrics": { + "chars": 5530, + "bytes_utf8": 5530, + "lines": 166, + "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_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e7010629babb81dad28c5de5a61cac98ea4b394d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:44.941768+00:00", + "ended_at": "2026-05-19T16:00:47.993777+00:00", + "elapsed_ms": 3051.97, + "returncode": 1, + "prompt_metrics": { + "chars": 5530, + "bytes_utf8": 5530, + "lines": 166, + "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_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5cd098c755005f78de0fa2e8511a2ba8a363d06c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,166 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=frequency.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "frequency", + "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": 4000.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5cd098c755005f78de0fa2e8511a2ba8a363d06c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,166 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=frequency.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "frequency", + "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": 4000.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_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_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff6aba75981ee105705c05b46c401d349f161717 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-c40c-75c3-946c-77d0639c2478"} +{"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_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1689b1b8d3cda772a0ed22624693e3b80b7f542f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-c40c-75c3-946c-77d0639c2478"} +{"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_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1950b8c808c404a07cf97a0e59da15e26ed6c06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-d89d-78b3-9724-9b34d05468eb"} +{"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_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..113c1202b8073f2e152118449cb90a947117769b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-d89d-78b3-9724-9b34d05468eb"} +{"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_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_fb25f85fcee6da2d/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4205350ac320b90bda2e6713b8fb879a5517e97f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 6444, "bytes_utf8": 6444, "lines": 171, "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": 749, "bytes_utf8": 749, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 13911, "cached_input_tokens": 12672, "output_tokens": 631, "reasoning_output_tokens": 422}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..11e3a03e1e91ab806909edf2fb2bbf747946cba9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/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": "n2", + "model": "v2-cli:codex", + "run_id": "v2q_n2_ff1857271476a7ce", + "api_calls": 0, + "input_tokens": 13911, + "cached_input_tokens": 12672, + "output_tokens": 631, + "total_tokens": 14542, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12870.13, + "sql_execution_elapsed_ms_total": 1.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d571e6b9b5dddb5677ba27eb28dd2bd31fdf710c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:18.045957+00:00", + "ended_at": "2026-05-19T15:37:30.916122+00:00", + "elapsed_ms": 12870.13, + "prompt_metrics": { + "chars": 6444, + "bytes_utf8": 6444, + "lines": 171, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1118, + "bytes_utf8": 1118, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 749, + "bytes_utf8": 749, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 13911, + "cached_input_tokens": 12672, + "output_tokens": 631, + "reasoning_output_tokens": 422 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1fbae757cad5afe84fdc26697d8fd6bde155737 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,171 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: n2 +- dataset_name: Airfoil Self-Noise +- table_name: n2 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one aerodynamic measurement under a specific frequency/geometry/flow condition. +- task_type: regression +- target_column: sound_pressure_level +- main_row_count: 1503 +- important_fields: +- frequency: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Excitation frequency. +- angle_of_attack: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Angle of attack. +- chord_length: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Airfoil chord length. +- free_stream_velocity: role=feature, type=numeric_discrete_condition. tags=['condition_candidate', 'measure', 'subgroup_candidate'] desc=Free-stream velocity condition. +- displacement_thickness: role=feature, type=numeric. tags=['condition_candidate', 'measure'] desc=Boundary-layer displacement thickness. +- sound_pressure_level: role=target, type=numeric_target. tags=['target_candidate', 'response_candidate'] desc=Scaled sound pressure level response. +- useful_field_combinations: [['frequency', 'free_stream_velocity', 'sound_pressure_level'], ['angle_of_attack', 'displacement_thickness', 'sound_pressure_level'], ['chord_length', 'frequency', 'sound_pressure_level']] +- fields_requiring_caution: ['free_stream_velocity', 'sound_pressure_level'] +- source_url: https://archive.ics.uci.edu/dataset/291/airfoil+self-noise + +SQLite schema snapshot: +{ + "table_name": "n2", + "quoted_table_name": "\"n2\"", + "row_count": 1503, + "columns": [ + { + "name": "frequency", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "angle_of_attack", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "chord_length", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "free_stream_velocity", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "displacement_thickness", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sound_pressure_level", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "frequency": "800", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "126.201" + }, + { + "frequency": "1000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.201" + }, + { + "frequency": "1250", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "125.951" + }, + { + "frequency": "1600", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.591" + }, + { + "frequency": "2000", + "angle_of_attack": "0", + "chord_length": "0.3048", + "free_stream_velocity": "71.3", + "displacement_thickness": "0.00266337", + "sound_pressure_level": "127.461" + } + ] +} + +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": "n2", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=free_stream_velocity, condition_col=chord_length.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "free_stream_velocity", + "condition_col": "chord_length", + "condition_value": "0.0254", + "positive_value": "0.0254", + "negative_value": "0.1524", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.2286, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "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_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..565e8563112f2543a761ee27b1acf84a1e48bb75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-60f1-76b3-b4bf-84280e67c981"} +{"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 \\\"free_stream_velocity\\\",\\n SUM(CASE WHEN \\\"chord_length\\\" = '0.0254' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"chord_length\\\" = '0.1524' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n2\\\"\\n GROUP BY \\\"free_stream_velocity\\\"\\n)\\nSELECT \\\"free_stream_velocity\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS \\\"condition_ratio\\\"\\nFROM grouped\\nORDER BY \\\"condition_ratio\\\" DESC;\",\"notes\":\"Uses the planned grouped-ratio template with group_col = free_stream_velocity and condition_col = chord_length, comparing '0.0254' to '0.1524'. Groups with no '0.1524' rows return NULL for the ratio.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":13911,"cached_input_tokens":12672,"output_tokens":631,"reasoning_output_tokens":422}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3dfc763ac998320b56705ea43cf64ceba881b69a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"free_stream_velocity\",\n SUM(CASE WHEN \"chord_length\" = '0.0254' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"chord_length\" = '0.1524' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n2\"\n GROUP BY \"free_stream_velocity\"\n)\nSELECT \"free_stream_velocity\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS \"condition_ratio\"\nFROM grouped\nORDER BY \"condition_ratio\" DESC;","notes":"Uses the planned grouped-ratio template with group_col = free_stream_velocity and condition_col = chord_length, comparing '0.0254' to '0.1524'. Groups with no '0.1524' rows return NULL for the ratio."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n2/artifacts/v2q_n2_ff1857271476a7ce/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b673a51ef8461482eca4c5b7de13717f067a6edd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/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=range_Valence, measure_col=wtd_entropy_atomic_radius. +Result preview: [{"range_Valence": "6", "wtd_range_atomic_radius": "37.5", "total_measure": 1.29281993272507, "share_within_group": 27.04685056641707}, {"range_Valence": "6", "wtd_range_atomic_radius": "38", "total_measure": 1.29163037374048, "share_within_group": 27.021964019356854}, {"range_Valence": "6", "wtd_range_atomic_radius": "26.7674418604651", "total_measure": 1.03258858948628, "share_within_group": 21.602597987141337}, {"range_Valence": "6", "wtd_range_atomic_radius": "91.5", "total_measure": 0.591483782451628, "share_within_group": 12.374324584172696}, {"range_Valence": "6", "wtd_range_atomic_radius": "71.6666666666667", "total_measure": 0.571405134449954, "share_within_group": 11.95426284291205}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..10371e426668dd925f5439056dda44069c4bc70e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_044386a1204bf95b +-- problem_id: v2p_n5_e0642f1bd03cf4f2 +-- realization_mode: agent +-- source_kind: agent +SELECT + "range_Valence", + "wtd_range_atomic_radius", + SUM(CAST(NULLIF("wtd_entropy_atomic_radius", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("wtd_entropy_atomic_radius", '') AS REAL)) * 100.0 + / SUM(SUM(CAST(NULLIF("wtd_entropy_atomic_radius", '') AS REAL))) OVER (PARTITION BY "range_Valence") AS share_within_group +FROM "n5" +WHERE NULLIF("range_Valence", '') IS NOT NULL + AND NULLIF("wtd_range_atomic_radius", '') IS NOT NULL + AND NULLIF("wtd_entropy_atomic_radius", '') IS NOT NULL +GROUP BY "range_Valence", "wtd_range_atomic_radius" +ORDER BY share_within_group DESC +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..153d837aedc7741a1ec31ab796cc991e2191bc18 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/query_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 \"range_Valence\",\n \"wtd_range_atomic_radius\",\n SUM(CAST(NULLIF(\"wtd_entropy_atomic_radius\", '') AS REAL)) AS total_measure,\n SUM(CAST(NULLIF(\"wtd_entropy_atomic_radius\", '') AS REAL)) * 100.0\n / SUM(SUM(CAST(NULLIF(\"wtd_entropy_atomic_radius\", '') AS REAL))) OVER (PARTITION BY \"range_Valence\") AS share_within_group\nFROM \"n5\"\nWHERE NULLIF(\"range_Valence\", '') IS NOT NULL\n AND NULLIF(\"wtd_range_atomic_radius\", '') IS NOT NULL\n AND NULLIF(\"wtd_entropy_atomic_radius\", '') IS NOT NULL\nGROUP BY \"range_Valence\", \"wtd_range_atomic_radius\"\nORDER BY share_within_group DESC\nLIMIT 11;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"range_Valence\\\",\\n \\\"wtd_range_atomic_radius\\\",\\n SUM(CAST(NULLIF(\\\"wtd_entropy_atomic_radius\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"wtd_entropy_atomic_radius\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"wtd_entropy_atomic_radius\\\", '') AS REAL))) OVER (PARTITION BY \\\"range_Valence\\\") AS share_within_group\\nFROM \\\"n5\\\"\\nWHERE NULLIF(\\\"range_Valence\\\", '') IS NOT NULL\\n AND NULLIF(\\\"wtd_range_atomic_radius\\\", '') IS NOT NULL\\n AND NULLIF(\\\"wtd_entropy_atomic_radius\\\", '') IS NOT NULL\\nGROUP BY \\\"range_Valence\\\", \\\"wtd_range_atomic_radius\\\"\\nORDER BY share_within_group DESC\\nLIMIT 11;\", \"columns\": [\"range_Valence\", \"wtd_range_atomic_radius\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"range_Valence\": \"6\", \"wtd_range_atomic_radius\": \"37.5\", \"total_measure\": 1.29281993272507, \"share_within_group\": 27.04685056641707}, {\"range_Valence\": \"6\", \"wtd_range_atomic_radius\": \"38\", \"total_measure\": 1.29163037374048, \"share_within_group\": 27.021964019356854}, {\"range_Valence\": \"6\", \"wtd_range_atomic_radius\": \"26.7674418604651\", \"total_measure\": 1.03258858948628, \"share_within_group\": 21.602597987141337}, {\"range_Valence\": \"6\", \"wtd_range_atomic_radius\": \"91.5\", \"total_measure\": 0.591483782451628, \"share_within_group\": 12.374324584172696}, {\"range_Valence\": \"6\", \"wtd_range_atomic_radius\": \"71.6666666666667\", \"total_measure\": 0.571405134449954, \"share_within_group\": 11.95426284291205}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"30.6\", \"total_measure\": 34.29346636474519, \"share_within_group\": 4.0446068752683315}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"34.8\", \"total_measure\": 33.57757053236933, \"share_within_group\": 3.9601733807126442}, {\"range_Valence\": \"0\", \"wtd_range_atomic_radius\": \"45.125\", \"total_measure\": 34.72783866979336, \"share_within_group\": 3.890393060865458}, {\"range_Valence\": \"0\", \"wtd_range_atomic_radius\": \"20.9375\", \"total_measure\": 34.44553786262466, \"share_within_group\": 3.8587682565772177}, {\"range_Valence\": \"2\", \"wtd_range_atomic_radius\": \"38.5\", \"total_measure\": 165.40939200707047, \"share_within_group\": 3.023015205044838}, {\"range_Valence\": \"0\", \"wtd_range_atomic_radius\": \"27.9166666666667\", \"total_measure\": 24.51035192049104, \"share_within_group\": 2.7457770677156885}], \"row_count_returned\": 11, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 76.77}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7ebc97ca012bdd3bc39fde7e26ad447e8def5d1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:37:25.127431+00:00", + "ended_at": "2026-05-19T15:38:02.190590+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_044386a1204bf95b", + "problem_id": "v2p_n5_e0642f1bd03cf4f2", + "dataset_id": "n5", + "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=range_Valence, measure_col=wtd_entropy_atomic_radius.", + "bindings": { + "group_col": "range_Valence", + "measure_col": "wtd_entropy_atomic_radius", + "item_col": "wtd_range_atomic_radius", + "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": 1.381366, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_044386a1204bf95b.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_044386a1204bf95b", + "api_calls": 0, + "input_tokens": 25701, + "cached_input_tokens": 24960, + "output_tokens": 2281, + "total_tokens": 27982, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 36972.48, + "sql_execution_elapsed_ms_total": 76.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f605021a041e0a316a483ef576032e7064246008 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:02.111814+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 36972.48, "started_at": "2026-05-19T15:37:25.138037+00:00", "ended_at": "2026-05-19T15:38:02.110546+00:00", "prompt_metrics": {"chars": 45270, "bytes_utf8": 45270, "lines": 1082, "estimated_tokens": null}, "response_metrics": {"chars": 951, "bytes_utf8": 951, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25701, "cached_input_tokens": 24960, "output_tokens": 2281, "reasoning_output_tokens": 2020}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"range_Valence\\\",\\n \\\"wtd_range_atomic_radius\\\",\\n SUM(CAST(NULLIF(\\\"wtd_entropy_atomic_radius\\\", '') AS REAL)) AS total_measure,\\n SUM(CAST(NULLIF(\\\"wtd_entropy_atomic_radius\\\", '') AS REAL)) * 100.0\\n / SUM(SUM(CAST(NULLIF(\\\"wtd_entropy_atomic_radius\\\", '') AS REAL))) OVER (PARTITION BY \\\"range_Valence\\\") AS share_within_group\\nFROM \\\"n5\\\"\\nWHERE NULLIF(\\\"range_Valence\\\", '') IS NOT NULL\\n AND NULLIF(\\\"wtd_range_atomic_radius\\\", '') IS NOT NULL\\n AND NULLIF(\\\"wtd_entropy_atomic_radius\\\", '') IS NOT NULL\\nGROUP BY \\\"range_Valence\\\", \\\"wtd_range_atomic_radius\\\"\\nORDER BY share_within_group DESC\\nLIMIT 11;\",\"notes\":\"Uses the planned within-group share template with group_col=\\\"range_Valence\\\", item_col=\\\"wtd_range_atomic_radius\\\", and measure_col=\\\"wtd_entropy_atomic_radius\\\". The measure is cast from TEXT to REAL for aggregation, and blank values are filtered out.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..69cf393b63bc8e6ae8faaedc51c9d5330c9074f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_044386a1204bf95b", + "api_calls": 0, + "input_tokens": 25701, + "cached_input_tokens": 24960, + "output_tokens": 2281, + "total_tokens": 27982, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 36972.48, + "sql_execution_elapsed_ms_total": 76.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_044386a1204bf95b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2d37387ca25fb3c1354e2e7235fa72d67ce7b6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/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=gmean_Valence, measure_col=wtd_gmean_atomic_radius. +Result preview: [{"gmean_Valence": 2.43802730840895, "wtd_entropy_atomic_radius": 1.73141026674196, "total_measure": 87.1162969851113, "share_within_group": 100.00000000000001}, {"gmean_Valence": 2.58734023677245, "wtd_entropy_atomic_radius": 1.5860942860262, "total_measure": 84.6594332347766, "share_within_group": 100.00000000000001}, {"gmean_Valence": 1.18920711500272, "wtd_entropy_atomic_radius": 0.85342896407971, "total_measure": 153.729539665803, "share_within_group": 100.0}, {"gmean_Valence": 1.25992104989487, "wtd_entropy_atomic_radius": 0.66946741742728, "total_measure": 81.7001633643953, "share_within_group": 100.0}, {"gmean_Valence": 1.96798967126543, "wtd_entropy_atomic_radius": 1.17358100066226, "total_measure": 149.622181035294, "share_within_group": 100.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8ac7aea82defa207b2adce83badb0d37c26bee33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_04570f29ef78ff0c +-- problem_id: v2p_n5_03bfcb75109161fd +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("gmean_Valence" AS REAL) AS "gmean_Valence", + CAST("wtd_entropy_atomic_radius" AS REAL) AS "wtd_entropy_atomic_radius", + SUM(CAST("wtd_gmean_atomic_radius" AS REAL)) AS "total_measure", + SUM(CAST("wtd_gmean_atomic_radius" AS REAL)) * 100.0 / SUM(SUM(CAST("wtd_gmean_atomic_radius" AS REAL))) OVER (PARTITION BY CAST("gmean_Valence" AS REAL)) AS "share_within_group" +FROM "n5" +WHERE "gmean_Valence" IS NOT NULL + AND "wtd_entropy_atomic_radius" IS NOT NULL + AND "wtd_gmean_atomic_radius" IS NOT NULL +GROUP BY CAST("gmean_Valence" AS REAL), CAST("wtd_entropy_atomic_radius" AS REAL) +ORDER BY "share_within_group" DESC +LIMIT 19; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f9242809855bd3fb87ca040c98e9df30fbc1e46a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT CAST(\"gmean_Valence\" AS REAL) AS \"gmean_Valence\",\n CAST(\"wtd_entropy_atomic_radius\" AS REAL) AS \"wtd_entropy_atomic_radius\",\n SUM(CAST(\"wtd_gmean_atomic_radius\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"wtd_gmean_atomic_radius\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"wtd_gmean_atomic_radius\" AS REAL))) OVER (PARTITION BY CAST(\"gmean_Valence\" AS REAL)) AS \"share_within_group\"\nFROM \"n5\"\nWHERE \"gmean_Valence\" IS NOT NULL\n AND \"wtd_entropy_atomic_radius\" IS NOT NULL\n AND \"wtd_gmean_atomic_radius\" IS NOT NULL\nGROUP BY CAST(\"gmean_Valence\" AS REAL), CAST(\"wtd_entropy_atomic_radius\" AS REAL)\nORDER BY \"share_within_group\" DESC\nLIMIT 19;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT CAST(\\\"gmean_Valence\\\" AS REAL) AS \\\"gmean_Valence\\\",\\n CAST(\\\"wtd_entropy_atomic_radius\\\" AS REAL) AS \\\"wtd_entropy_atomic_radius\\\",\\n SUM(CAST(\\\"wtd_gmean_atomic_radius\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"wtd_gmean_atomic_radius\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"wtd_gmean_atomic_radius\\\" AS REAL))) OVER (PARTITION BY CAST(\\\"gmean_Valence\\\" AS REAL)) AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"gmean_Valence\\\" IS NOT NULL\\n AND \\\"wtd_entropy_atomic_radius\\\" IS NOT NULL\\n AND \\\"wtd_gmean_atomic_radius\\\" IS NOT NULL\\nGROUP BY CAST(\\\"gmean_Valence\\\" AS REAL), CAST(\\\"wtd_entropy_atomic_radius\\\" AS REAL)\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 19;\", \"columns\": [\"gmean_Valence\", \"wtd_entropy_atomic_radius\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"gmean_Valence\": 2.43802730840895, \"wtd_entropy_atomic_radius\": 1.73141026674196, \"total_measure\": 87.1162969851113, \"share_within_group\": 100.00000000000001}, {\"gmean_Valence\": 2.58734023677245, \"wtd_entropy_atomic_radius\": 1.5860942860262, \"total_measure\": 84.6594332347766, \"share_within_group\": 100.00000000000001}, {\"gmean_Valence\": 1.18920711500272, \"wtd_entropy_atomic_radius\": 0.85342896407971, \"total_measure\": 153.729539665803, \"share_within_group\": 100.0}, {\"gmean_Valence\": 1.25992104989487, \"wtd_entropy_atomic_radius\": 0.66946741742728, \"total_measure\": 81.7001633643953, \"share_within_group\": 100.0}, {\"gmean_Valence\": 1.96798967126543, \"wtd_entropy_atomic_radius\": 1.17358100066226, \"total_measure\": 149.622181035294, \"share_within_group\": 100.0}, {\"gmean_Valence\": 1.97435048583482, \"wtd_entropy_atomic_radius\": 1.32575548928787, \"total_measure\": 110.999608359256, \"share_within_group\": 100.0}, {\"gmean_Valence\": 2.41014226417523, \"wtd_entropy_atomic_radius\": 1.03258858948628, \"total_measure\": 73.8364092432851, \"share_within_group\": 100.0}, {\"gmean_Valence\": 2.59852644521882, \"wtd_entropy_atomic_radius\": 1.80200007784705, \"total_measure\": 136.453973266119, \"share_within_group\": 100.0}, {\"gmean_Valence\": 2.61099908058295, \"wtd_entropy_atomic_radius\": 1.68669107276325, \"total_measure\": 87.575276228265, \"share_within_group\": 100.0}, {\"gmean_Valence\": 2.63667466513654, \"wtd_entropy_atomic_radius\": 1.32943009087679, \"total_measure\": 147.698587724964, \"share_within_group\": 100.0}, {\"gmean_Valence\": 2.79842828161591, \"wtd_entropy_atomic_radius\": 1.66739381208347, \"total_measure\": 477.218998539852, \"share_within_group\": 100.0}, {\"gmean_Valence\": 2.95417693906278, \"wtd_entropy_atomic_radius\": 1.42091052544589, \"total_measure\": 144.464527024168, \"share_within_group\": 100.0}, {\"gmean_Valence\": 3.07170766197454, \"wtd_entropy_atomic_radius\": 1.58604248490652, \"total_measure\": 133.339141541062, \"share_within_group\": 100.0}, {\"gmean_Valence\": 3.20086866888094, \"wtd_entropy_atomic_radius\": 1.32214475858303, \"total_measure\": 74.9516227947544, \"share_within_group\": 100.0}, {\"gmean_Valence\": 3.22257477860518, \"wtd_entropy_atomic_radius\": 1.30310264651458, \"total_measure\": 139.901870928872, \"share_within_group\": 100.0}, {\"gmean_Valence\": 3.47602664488645, \"wtd_entropy_atomic_radius\": 1.06611060074822, \"total_measure\": 152.335305492915, \"share_within_group\": 100.0}, {\"gmean_Valence\": 3.86636408986353, \"wtd_entropy_atomic_radius\": 1.35363848274127, \"total_measure\": 117.416318389614, \"share_within_group\": 100.0}, {\"gmean_Valence\": 4.19296271262948, \"wtd_entropy_atomic_radius\": 1.04826320977136, \"total_measure\": 125.559144887748, \"share_within_group\": 100.0}, {\"gmean_Valence\": 4.71769398031653, \"wtd_entropy_atomic_radius\": 0.60910028477963, \"total_measure\": 161.760589592453, \"share_within_group\": 100.0}], \"row_count_returned\": 19, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 92.69}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8dca0e125bddd93638b17ad4ae0bfc0f607ae814 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:36:24.391492+00:00", + "ended_at": "2026-05-19T15:36:47.487278+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_04570f29ef78ff0c", + "problem_id": "v2p_n5_03bfcb75109161fd", + "dataset_id": "n5", + "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=gmean_Valence, measure_col=wtd_gmean_atomic_radius.", + "bindings": { + "group_col": "gmean_Valence", + "measure_col": "wtd_gmean_atomic_radius", + "item_col": "wtd_entropy_atomic_radius", + "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": 87.458951, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_04570f29ef78ff0c.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_04570f29ef78ff0c", + "api_calls": 0, + "input_tokens": 25703, + "cached_input_tokens": 24960, + "output_tokens": 1321, + "total_tokens": 27024, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22988.17, + "sql_execution_elapsed_ms_total": 92.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7a4eae298232292b4644026ac5ed2c5b11bd5b22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:47.392849+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 22988.17, "started_at": "2026-05-19T15:36:24.403235+00:00", "ended_at": "2026-05-19T15:36:47.391432+00:00", "prompt_metrics": {"chars": 45266, "bytes_utf8": 45266, "lines": 1082, "estimated_tokens": null}, "response_metrics": {"chars": 1008, "bytes_utf8": 1008, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25703, "cached_input_tokens": 24960, "output_tokens": 1321, "reasoning_output_tokens": 1034}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT CAST(\\\"gmean_Valence\\\" AS REAL) AS \\\"gmean_Valence\\\",\\n CAST(\\\"wtd_entropy_atomic_radius\\\" AS REAL) AS \\\"wtd_entropy_atomic_radius\\\",\\n SUM(CAST(\\\"wtd_gmean_atomic_radius\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"wtd_gmean_atomic_radius\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"wtd_gmean_atomic_radius\\\" AS REAL))) OVER (PARTITION BY CAST(\\\"gmean_Valence\\\" AS REAL)) AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"gmean_Valence\\\" IS NOT NULL\\n AND \\\"wtd_entropy_atomic_radius\\\" IS NOT NULL\\n AND \\\"wtd_gmean_atomic_radius\\\" IS NOT NULL\\nGROUP BY CAST(\\\"gmean_Valence\\\" AS REAL), CAST(\\\"wtd_entropy_atomic_radius\\\" AS REAL)\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 19;\",\"notes\":\"Uses the provided Within-Group Share of Total template with group_col=\\\"gmean_Valence\\\", item_col=\\\"wtd_entropy_atomic_radius\\\", and measure_col=\\\"wtd_gmean_atomic_radius\\\". Numeric-text columns are cast to REAL for aggregation and gro"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b0759454b34b9ed54ff9ee63661cc0871ea719ce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_04570f29ef78ff0c", + "api_calls": 0, + "input_tokens": 25703, + "cached_input_tokens": 24960, + "output_tokens": 1321, + "total_tokens": 27024, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22988.17, + "sql_execution_elapsed_ms_total": 92.69, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04570f29ef78ff0c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..06c7ac36a1d8d9ebe99d9336178de29a14667eb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/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=wtd_mean_ThermalConductivity. +Result preview: [{"wtd_mean_ThermalConductivity": 406.96}, {"wtd_mean_ThermalConductivity": 389.9}, {"wtd_mean_ThermalConductivity": 384.651162790698}, {"wtd_mean_ThermalConductivity": 383.31}, {"wtd_mean_ThermalConductivity": 379.875}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..445ebe55a2669465b8f0d47d4292b8fa8c6d2ab9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_04fa59130a43451e +-- problem_id: v2p_n5_c5744a896ad656cc +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("wtd_mean_ThermalConductivity" AS REAL) AS "wtd_mean_ThermalConductivity", + NTILE(10) OVER (ORDER BY CAST("wtd_mean_ThermalConductivity" AS REAL) DESC) AS tail_bucket + FROM "n5" + WHERE "wtd_mean_ThermalConductivity" IS NOT NULL + AND TRIM("wtd_mean_ThermalConductivity") <> '' +) +SELECT "wtd_mean_ThermalConductivity" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY "wtd_mean_ThermalConductivity" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b0d243e3757e5bc84623307e8b2ed973937bb2d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/query_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(\"wtd_mean_ThermalConductivity\" AS REAL) AS \"wtd_mean_ThermalConductivity\",\n NTILE(10) OVER (ORDER BY CAST(\"wtd_mean_ThermalConductivity\" AS REAL) DESC) AS tail_bucket\n FROM \"n5\"\n WHERE \"wtd_mean_ThermalConductivity\" IS NOT NULL\n AND TRIM(\"wtd_mean_ThermalConductivity\") <> ''\n)\nSELECT \"wtd_mean_ThermalConductivity\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY \"wtd_mean_ThermalConductivity\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"wtd_mean_ThermalConductivity\\\" AS REAL) AS \\\"wtd_mean_ThermalConductivity\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"wtd_mean_ThermalConductivity\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"n5\\\"\\n WHERE \\\"wtd_mean_ThermalConductivity\\\" IS NOT NULL\\n AND TRIM(\\\"wtd_mean_ThermalConductivity\\\") <> ''\\n)\\nSELECT \\\"wtd_mean_ThermalConductivity\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY \\\"wtd_mean_ThermalConductivity\\\" DESC;\", \"columns\": [\"wtd_mean_ThermalConductivity\"], \"rows\": [{\"wtd_mean_ThermalConductivity\": 406.96}, {\"wtd_mean_ThermalConductivity\": 389.9}, {\"wtd_mean_ThermalConductivity\": 384.651162790698}, {\"wtd_mean_ThermalConductivity\": 383.31}, {\"wtd_mean_ThermalConductivity\": 379.875}, {\"wtd_mean_ThermalConductivity\": 377.150800999808}, {\"wtd_mean_ThermalConductivity\": 375.19}, {\"wtd_mean_ThermalConductivity\": 373.735}, {\"wtd_mean_ThermalConductivity\": 371.5}, {\"wtd_mean_ThermalConductivity\": 370.105}, {\"wtd_mean_ThermalConductivity\": 367.07}, {\"wtd_mean_ThermalConductivity\": 366.475}, {\"wtd_mean_ThermalConductivity\": 365.065}, {\"wtd_mean_ThermalConductivity\": 365.0}, {\"wtd_mean_ThermalConductivity\": 365.0}, {\"wtd_mean_ThermalConductivity\": 364.66}, {\"wtd_mean_ThermalConductivity\": 363.88}, {\"wtd_mean_ThermalConductivity\": 362.845}, {\"wtd_mean_ThermalConductivity\": 361.75}, {\"wtd_mean_ThermalConductivity\": 361.028}, {\"wtd_mean_ThermalConductivity\": 356.875}, {\"wtd_mean_ThermalConductivity\": 356.0}, {\"wtd_mean_ThermalConductivity\": 355.585}, {\"wtd_mean_ThermalConductivity\": 352.4}, {\"wtd_mean_ThermalConductivity\": 352.0}, {\"wtd_mean_ThermalConductivity\": 349.8}, {\"wtd_mean_ThermalConductivity\": 349.0}, {\"wtd_mean_ThermalConductivity\": 348.325}, {\"wtd_mean_ThermalConductivity\": 345.6}, {\"wtd_mean_ThermalConductivity\": 344.714285714286}, {\"wtd_mean_ThermalConductivity\": 342.2}, {\"wtd_mean_ThermalConductivity\": 341.72}, {\"wtd_mean_ThermalConductivity\": 341.344}, {\"wtd_mean_ThermalConductivity\": 340.5}, {\"wtd_mean_ThermalConductivity\": 338.8}, {\"wtd_mean_ThermalConductivity\": 337.1}, {\"wtd_mean_ThermalConductivity\": 337.0}, {\"wtd_mean_ThermalConductivity\": 335.4}, {\"wtd_mean_ThermalConductivity\": 329.51}, {\"wtd_mean_ThermalConductivity\": 328.56}, {\"wtd_mean_ThermalConductivity\": 319.536}, {\"wtd_mean_ThermalConductivity\": 317.5}, {\"wtd_mean_ThermalConductivity\": 315.75}, {\"wtd_mean_ThermalConductivity\": 314.764}, {\"wtd_mean_ThermalConductivity\": 314.0}, {\"wtd_mean_ThermalConductivity\": 313.2}, {\"wtd_mean_ThermalConductivity\": 311.67}, {\"wtd_mean_ThermalConductivity\": 310.14}, {\"wtd_mean_ThermalConductivity\": 309.5739}, {\"wtd_mean_ThermalConductivity\": 309.08}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 60.9}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..88aa3760a8a7e3f145fcb72b2e131d84db4863c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:51:12.511409+00:00", + "ended_at": "2026-05-19T15:51:32.752917+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_04fa59130a43451e", + "problem_id": "v2p_n5_c5744a896ad656cc", + "dataset_id": "n5", + "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=wtd_mean_ThermalConductivity.", + "bindings": { + "measure_col": "wtd_mean_ThermalConductivity", + "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": 97.891235, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=1/1", + "binding_index=62" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 3, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_04fa59130a43451e.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_04fa59130a43451e", + "api_calls": 0, + "input_tokens": 25634, + "cached_input_tokens": 12032, + "output_tokens": 717, + "total_tokens": 26351, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20165.75, + "sql_execution_elapsed_ms_total": 60.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b2bfecea989903ac2bcaa0bd6d47d6daf2aaada5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:32.690022+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 20165.75, "started_at": "2026-05-19T15:51:12.522892+00:00", "ended_at": "2026-05-19T15:51:32.688674+00:00", "prompt_metrics": {"chars": 45013, "bytes_utf8": 45013, "lines": 1078, "estimated_tokens": null}, "response_metrics": {"chars": 785, "bytes_utf8": 785, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25634, "cached_input_tokens": 12032, "output_tokens": 717, "reasoning_output_tokens": 500}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"wtd_mean_ThermalConductivity\\\" AS REAL) AS \\\"wtd_mean_ThermalConductivity\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"wtd_mean_ThermalConductivity\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"n5\\\"\\n WHERE \\\"wtd_mean_ThermalConductivity\\\" IS NOT NULL\\n AND TRIM(\\\"wtd_mean_ThermalConductivity\\\") <> ''\\n)\\nSELECT \\\"wtd_mean_ThermalConductivity\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY \\\"wtd_mean_ThermalConductivity\\\" DESC;\",\"notes\":\"Uses the planned Quantile Tail Slice template on \\\"wtd_mean_ThermalConductivity\\\". CAST to REAL is applied because the schema stores numeric values as TEXT, and the query returns the highest-decile tail bucket ordered from largest to smallest.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e77f0285966c7047be1962fa9211a7cb388ae58b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_04fa59130a43451e", + "api_calls": 0, + "input_tokens": 25634, + "cached_input_tokens": 12032, + "output_tokens": 717, + "total_tokens": 26351, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20165.75, + "sql_execution_elapsed_ms_total": 60.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_04fa59130a43451e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_076c3183395d2da9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_076c3183395d2da9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..de84555f14576d34e8efb65e1c602555a8e41a4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_076c3183395d2da9/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:07:42.798482+00:00", + "ended_at": "2026-05-19T16:07:50.260035+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_076c3183395d2da9", + "problem_id": "v2p_n5_6c49eda039a52dc8", + "dataset_id": "n5", + "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=mean_Valence, measure_col=wtd_mean_fie.", + "bindings": { + "group_col": "mean_Valence", + "measure_col": "wtd_mean_fie", + "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": 1010.167006, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=93" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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_c/n5/artifacts/v2q_n5_076c3183395d2da9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_076c3183395d2da9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1c6d09a3c6a56e5c86623d26dc8c7867f10930bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_076c3183395d2da9/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:46.051807+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": 3231.19, "started_at": "2026-05-19T16:07:42.819712+00:00", "ended_at": "2026-05-19T16:07:46.050935+00:00", "prompt_metrics": {"chars": 45001, "bytes_utf8": 45001, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-391a-7f71-9c5b-86729f33b9de\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:50.259930+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": 3205.0, "started_at": "2026-05-19T16:07:47.054066+00:00", "ended_at": "2026-05-19T16:07:50.259110+00:00", "prompt_metrics": {"chars": 45001, "bytes_utf8": 45001, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-4975-7613-a891-70607a820a89\"}\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_c/n5/artifacts/v2q_n5_0910bf38bc0aa04d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0910bf38bc0aa04d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6df8253cbc26e81191ace97d08ea6734f7cca697 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0910bf38bc0aa04d/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:06:20.464358+00:00", + "ended_at": "2026-05-19T16:06:27.185057+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_0910bf38bc0aa04d", + "problem_id": "v2p_n5_5e86a954ca9ebeef", + "dataset_id": "n5", + "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=number_of_elements, measure_col=wtd_std_atomic_mass.", + "bindings": { + "group_col": "number_of_elements", + "measure_col": "wtd_std_atomic_mass", + "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": 55.86397, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/artifacts/v2q_n5_0910bf38bc0aa04d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0910bf38bc0aa04d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2a399b170ca9102936feb2a99550d43efa4f62dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0910bf38bc0aa04d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:06:23.414341+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": 2938.66, "started_at": "2026-05-19T16:06:20.474851+00:00", "ended_at": "2026-05-19T16:06:23.413538+00:00", "prompt_metrics": {"chars": 45020, "bytes_utf8": 45020, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fc-f734-7110-a67d-8db1be6f54f3\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:06:27.184939+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": 2766.52, "started_at": "2026-05-19T16:06:24.416926+00:00", "ended_at": "2026-05-19T16:06:27.183481+00:00", "prompt_metrics": {"chars": 45020, "bytes_utf8": 45020, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-06a1-72a1-8628-394beca1f19d\"}\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_c/n5/artifacts/v2q_n5_0b2edc4dc31b4b85/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0b2edc4dc31b4b85/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..946427c1696d279bfe8d911f421588391d4ec95c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0b2edc4dc31b4b85/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:11:44.873076+00:00", + "ended_at": "2026-05-19T16:11:52.655569+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_0b2edc4dc31b4b85", + "problem_id": "v2p_n5_cfa7fd2691bb6aed", + "dataset_id": "n5", + "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=gmean_Valence.", + "bindings": { + "group_col": "gmean_Valence", + "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": 77.2375, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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", + "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_c/n5/artifacts/v2q_n5_0b2edc4dc31b4b85/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0b2edc4dc31b4b85/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..88ca8e924cfcf612bafa41008c1ccfea89fb235f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0b2edc4dc31b4b85/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:11:48.041774+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": 3155.71, "started_at": "2026-05-19T16:11:44.885259+00:00", "ended_at": "2026-05-19T16:11:48.041006+00:00", "prompt_metrics": {"chars": 44799, "bytes_utf8": 44799, "lines": 1078, "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\":\"019e4101-ea6a-7722-a0ea-be69eaf3d87a\"}\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": "2026-05-19T16:11:52.655482+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": 3611.31, "started_at": "2026-05-19T16:11:49.043312+00:00", "ended_at": "2026-05-19T16:11:52.654656+00:00", "prompt_metrics": {"chars": 44799, "bytes_utf8": 44799, "lines": 1078, "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\":\"019e4101-fab1-7642-b286-a6a5e2e7192a\"}\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_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe75012ce336a2816c126f938c0c9190bc95fd2d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/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=range_Valence, measure_col=entropy_Valence. +Result preview: [{"range_Valence": "1", "group_value": 9895.389006174624}, {"range_Valence": "2", "group_value": 6604.438128981044}, {"range_Valence": "3", "group_value": 5875.577476818189}, {"range_Valence": "4", "group_value": 3181.6675177003294}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..af8543e2e48fb34566f01f0b792f893baa2bf195 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/generated_sql.sql @@ -0,0 +1,34 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_0d00a6db4539e50e +-- problem_id: v2p_n5_d625e6447eef8596 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "range_Valence" AS "range_Valence", + SUM(CAST("entropy_Valence" AS REAL)) AS group_value + FROM "n5" + WHERE "range_Valence" IS NOT NULL + AND TRIM("range_Valence") <> '' + AND "entropy_Valence" IS NOT NULL + AND TRIM("entropy_Valence") <> '' + GROUP BY "range_Valence" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT + g."range_Valence", + 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_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..92b70786ee50fedae8273eec63d0e3a6b5cbac3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"range_Valence\" AS \"range_Valence\",\n SUM(CAST(\"entropy_Valence\" AS REAL)) AS group_value\n FROM \"n5\"\n WHERE \"range_Valence\" IS NOT NULL\n AND TRIM(\"range_Valence\") <> ''\n AND \"entropy_Valence\" IS NOT NULL\n AND TRIM(\"entropy_Valence\") <> ''\n GROUP BY \"range_Valence\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT\n g.\"range_Valence\",\n g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"range_Valence\\\" AS \\\"range_Valence\\\",\\n SUM(CAST(\\\"entropy_Valence\\\" AS REAL)) AS group_value\\n FROM \\\"n5\\\"\\n WHERE \\\"range_Valence\\\" IS NOT NULL\\n AND TRIM(\\\"range_Valence\\\") <> ''\\n AND \\\"entropy_Valence\\\" IS NOT NULL\\n AND TRIM(\\\"entropy_Valence\\\") <> ''\\n GROUP BY \\\"range_Valence\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"range_Valence\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\", \"columns\": [\"range_Valence\", \"group_value\"], \"rows\": [{\"range_Valence\": \"1\", \"group_value\": 9895.389006174624}, {\"range_Valence\": \"2\", \"group_value\": 6604.438128981044}, {\"range_Valence\": \"3\", \"group_value\": 5875.577476818189}, {\"range_Valence\": \"4\", \"group_value\": 3181.6675177003294}], \"row_count_returned\": 4, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 26.39}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..196d2056a4d6d78eb8f00a93794d28aac34446d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:54:21.704829+00:00", + "ended_at": "2026-05-19T15:54:41.654480+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_0d00a6db4539e50e", + "problem_id": "v2p_n5_d625e6447eef8596", + "dataset_id": "n5", + "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=range_Valence, measure_col=entropy_Valence.", + "bindings": { + "group_col": "range_Valence", + "measure_col": "entropy_Valence", + "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": 1.368922, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=75" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_0d00a6db4539e50e.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_0d00a6db4539e50e", + "api_calls": 0, + "input_tokens": 25716, + "cached_input_tokens": 24960, + "output_tokens": 767, + "total_tokens": 26483, + "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": 18904.74, + "sql_execution_elapsed_ms_total": 26.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..01dcbf4e4aa808e8023f5c1664a5c061c3e3cd4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:54:24.610955+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": 2892.92, "started_at": "2026-05-19T15:54:21.716803+00:00", "ended_at": "2026-05-19T15:54:24.609754+00:00", "prompt_metrics": {"chars": 45380, "bytes_utf8": 45380, "lines": 1080, "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-ffaa-7671-8964-8958a2c770c5\"}\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": "2026-05-19T15:54:41.626575+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": 16011.82, "started_at": "2026-05-19T15:54:25.613850+00:00", "ended_at": "2026-05-19T15:54:41.625713+00:00", "prompt_metrics": {"chars": 45380, "bytes_utf8": 45380, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 900, "bytes_utf8": 900, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25716, "cached_input_tokens": 24960, "output_tokens": 767, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"range_Valence\\\" AS \\\"range_Valence\\\",\\n SUM(CAST(\\\"entropy_Valence\\\" AS REAL)) AS group_value\\n FROM \\\"n5\\\"\\n WHERE \\\"range_Valence\\\" IS NOT NULL\\n AND TRIM(\\\"range_Valence\\\") <> ''\\n AND \\\"entropy_Valence\\\" IS NOT NULL\\n AND TRIM(\\\"entropy_Valence\\\") <> ''\\n GROUP BY \\\"range_Valence\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"range_Valence\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the planned relative-to-total threshold template with \\\"range_Valence\\\" as the grouping column and SUM(CAST(\\\"entropy_Valence\\\" AS REAL)) as the measure, filtering out NULL/blank values for a stable grouped result.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..560779cf91a988b8de5a1bb4f6976f1e71e57a71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_0d00a6db4539e50e", + "api_calls": 0, + "input_tokens": 25716, + "cached_input_tokens": 24960, + "output_tokens": 767, + "total_tokens": 26483, + "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": 18904.74, + "sql_execution_elapsed_ms_total": 26.39, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0d00a6db4539e50e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0f78550ab04daf15/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0f78550ab04daf15/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..14bba1ef3fcc59922397c2f315cb5fc12b9b15c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0f78550ab04daf15/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:14:37.952162+00:00", + "ended_at": "2026-05-19T16:14:45.102619+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_0f78550ab04daf15", + "problem_id": "v2p_n5_22c4e37784b51f68", + "dataset_id": "n5", + "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=entropy_Valence, measure_col=wtd_entropy_FusionHeat.", + "bindings": { + "group_col": "entropy_Valence", + "measure_col": "wtd_entropy_FusionHeat", + "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": 1.025693, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=137" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0f78550ab04daf15/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0f78550ab04daf15/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..296b8a09a3c5e3f44a3f8ce0fff575bb13a2950e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_0f78550ab04daf15/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:14:40.812729+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": 2848.01, "started_at": "2026-05-19T16:14:37.963834+00:00", "ended_at": "2026-05-19T16:14:40.811870+00:00", "prompt_metrics": {"chars": 44924, "bytes_utf8": 44924, "lines": 1080, "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\":\"019e4104-8e77-74f0-92fc-f4fb0ac88d3b\"}\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": "2026-05-19T16:14:45.102450+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": 3285.36, "started_at": "2026-05-19T16:14:41.815477+00:00", "ended_at": "2026-05-19T16:14:45.100886+00:00", "prompt_metrics": {"chars": 44924, "bytes_utf8": 44924, "lines": 1080, "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\":\"019e4104-9d9d-7232-a3c7-61a85e11ddb5\"}\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_c/n5/artifacts/v2q_n5_12e54a34f7cde465/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..292c5ce2afb5bd215a2ce893b827e2762ba6ab28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/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=gmean_Valence, measure_col=wtd_gmean_atomic_radius. +Result preview: [{"gmean_Valence": "2.43802730840895", "wtd_entropy_atomic_radius": "1.73141026674196", "total_measure": 87.1162969851113, "share_within_group": 100.00000000000001}, {"gmean_Valence": "2.58734023677245", "wtd_entropy_atomic_radius": "1.5860942860262", "total_measure": 84.6594332347766, "share_within_group": 100.00000000000001}, {"gmean_Valence": "1.18920711500272", "wtd_entropy_atomic_radius": "0.85342896407971", "total_measure": 153.729539665803, "share_within_group": 100.0}, {"gmean_Valence": "1.25992104989487", "wtd_entropy_atomic_radius": "0.66946741742728", "total_measure": 81.7001633643953, "share_within_group": 100.0}, {"gmean_Valence": "1.96798967126543", "wtd_entropy_atomic_radius": "1.17358100066226", "total_measure": 149.622181035294, "share_within_group": 100.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..cc66801944406a6697deaa29610ca7847bc17ab0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_12e54a34f7cde465 +-- problem_id: v2p_n5_dfc1c2d7d4372981 +-- realization_mode: agent +-- source_kind: agent +SELECT "gmean_Valence", "wtd_entropy_atomic_radius", + SUM(CAST("wtd_gmean_atomic_radius" AS REAL)) AS total_measure, + SUM(CAST("wtd_gmean_atomic_radius" AS REAL)) * 100.0 / SUM(SUM(CAST("wtd_gmean_atomic_radius" AS REAL))) OVER (PARTITION BY "gmean_Valence") AS share_within_group +FROM "n5" +WHERE "gmean_Valence" IS NOT NULL + AND "wtd_entropy_atomic_radius" IS NOT NULL + AND "wtd_gmean_atomic_radius" IS NOT NULL + AND TRIM("gmean_Valence") <> '' + AND TRIM("wtd_entropy_atomic_radius") <> '' + AND TRIM("wtd_gmean_atomic_radius") <> '' +GROUP BY "gmean_Valence", "wtd_entropy_atomic_radius" +ORDER BY share_within_group DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3961a950900fccb9ec0840d765615bfc7b8ed04a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/query_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 \"gmean_Valence\", \"wtd_entropy_atomic_radius\",\n SUM(CAST(\"wtd_gmean_atomic_radius\" AS REAL)) AS total_measure,\n SUM(CAST(\"wtd_gmean_atomic_radius\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"wtd_gmean_atomic_radius\" AS REAL))) OVER (PARTITION BY \"gmean_Valence\") AS share_within_group\nFROM \"n5\"\nWHERE \"gmean_Valence\" IS NOT NULL\n AND \"wtd_entropy_atomic_radius\" IS NOT NULL\n AND \"wtd_gmean_atomic_radius\" IS NOT NULL\n AND TRIM(\"gmean_Valence\") <> ''\n AND TRIM(\"wtd_entropy_atomic_radius\") <> ''\n AND TRIM(\"wtd_gmean_atomic_radius\") <> ''\nGROUP BY \"gmean_Valence\", \"wtd_entropy_atomic_radius\"\nORDER BY share_within_group DESC\nLIMIT 14;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"gmean_Valence\\\", \\\"wtd_entropy_atomic_radius\\\",\\n SUM(CAST(\\\"wtd_gmean_atomic_radius\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"wtd_gmean_atomic_radius\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"wtd_gmean_atomic_radius\\\" AS REAL))) OVER (PARTITION BY \\\"gmean_Valence\\\") AS share_within_group\\nFROM \\\"n5\\\"\\nWHERE \\\"gmean_Valence\\\" IS NOT NULL\\n AND \\\"wtd_entropy_atomic_radius\\\" IS NOT NULL\\n AND \\\"wtd_gmean_atomic_radius\\\" IS NOT NULL\\n AND TRIM(\\\"gmean_Valence\\\") <> ''\\n AND TRIM(\\\"wtd_entropy_atomic_radius\\\") <> ''\\n AND TRIM(\\\"wtd_gmean_atomic_radius\\\") <> ''\\nGROUP BY \\\"gmean_Valence\\\", \\\"wtd_entropy_atomic_radius\\\"\\nORDER BY share_within_group DESC\\nLIMIT 14;\", \"columns\": [\"gmean_Valence\", \"wtd_entropy_atomic_radius\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"gmean_Valence\": \"2.43802730840895\", \"wtd_entropy_atomic_radius\": \"1.73141026674196\", \"total_measure\": 87.1162969851113, \"share_within_group\": 100.00000000000001}, {\"gmean_Valence\": \"2.58734023677245\", \"wtd_entropy_atomic_radius\": \"1.5860942860262\", \"total_measure\": 84.6594332347766, \"share_within_group\": 100.00000000000001}, {\"gmean_Valence\": \"1.18920711500272\", \"wtd_entropy_atomic_radius\": \"0.85342896407971\", \"total_measure\": 153.729539665803, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"1.25992104989487\", \"wtd_entropy_atomic_radius\": \"0.66946741742728\", \"total_measure\": 81.7001633643953, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"1.96798967126543\", \"wtd_entropy_atomic_radius\": \"1.17358100066226\", \"total_measure\": 149.622181035294, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"1.97435048583482\", \"wtd_entropy_atomic_radius\": \"1.32575548928787\", \"total_measure\": 110.999608359256, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.41014226417523\", \"wtd_entropy_atomic_radius\": \"1.03258858948628\", \"total_measure\": 73.8364092432851, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.59852644521882\", \"wtd_entropy_atomic_radius\": \"1.80200007784705\", \"total_measure\": 136.453973266119, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.61099908058295\", \"wtd_entropy_atomic_radius\": \"1.68669107276325\", \"total_measure\": 87.575276228265, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.63667466513654\", \"wtd_entropy_atomic_radius\": \"1.32943009087679\", \"total_measure\": 147.698587724964, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.79842828161591\", \"wtd_entropy_atomic_radius\": \"1.66739381208347\", \"total_measure\": 477.218998539852, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.95417693906278\", \"wtd_entropy_atomic_radius\": \"1.42091052544589\", \"total_measure\": 144.464527024168, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"3.07170766197454\", \"wtd_entropy_atomic_radius\": \"1.58604248490652\", \"total_measure\": 133.339141541062, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"3.20086866888094\", \"wtd_entropy_atomic_radius\": \"1.32214475858303\", \"total_measure\": 74.9516227947544, \"share_within_group\": 100.0}], \"row_count_returned\": 14, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 95.34}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..480b2b88345d748e257bed822c1d3d4f66da9852 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:36:03.465034+00:00", + "ended_at": "2026-05-19T15:36:24.390955+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_12e54a34f7cde465", + "problem_id": "v2p_n5_dfc1c2d7d4372981", + "dataset_id": "n5", + "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=gmean_Valence, measure_col=wtd_gmean_atomic_radius.", + "bindings": { + "group_col": "gmean_Valence", + "measure_col": "wtd_gmean_atomic_radius", + "item_col": "wtd_entropy_atomic_radius", + "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": 88.824326, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_12e54a34f7cde465.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_12e54a34f7cde465", + "api_calls": 0, + "input_tokens": 25704, + "cached_input_tokens": 24960, + "output_tokens": 1202, + "total_tokens": 26906, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20815.53, + "sql_execution_elapsed_ms_total": 95.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bd5112e843caef61dcc1b8f68bef236ac539e490 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:36:24.293781+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 20815.53, "started_at": "2026-05-19T15:36:03.476394+00:00", "ended_at": "2026-05-19T15:36:24.291959+00:00", "prompt_metrics": {"chars": 45269, "bytes_utf8": 45269, "lines": 1082, "estimated_tokens": null}, "response_metrics": {"chars": 1075, "bytes_utf8": 1075, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25704, "cached_input_tokens": 24960, "output_tokens": 1202, "reasoning_output_tokens": 893}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"gmean_Valence\\\", \\\"wtd_entropy_atomic_radius\\\",\\n SUM(CAST(\\\"wtd_gmean_atomic_radius\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"wtd_gmean_atomic_radius\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"wtd_gmean_atomic_radius\\\" AS REAL))) OVER (PARTITION BY \\\"gmean_Valence\\\") AS share_within_group\\nFROM \\\"n5\\\"\\nWHERE \\\"gmean_Valence\\\" IS NOT NULL\\n AND \\\"wtd_entropy_atomic_radius\\\" IS NOT NULL\\n AND \\\"wtd_gmean_atomic_radius\\\" IS NOT NULL\\n AND TRIM(\\\"gmean_Valence\\\") <> ''\\n AND TRIM(\\\"wtd_entropy_atomic_radius\\\") <> ''\\n AND TRIM(\\\"wtd_gmean_atomic_radius\\\") <> ''\\nGROUP BY \\\"gmean_Valence\\\", \\\"wtd_entropy_atomic_radius\\\"\\nORDER BY share_within_group DESC\\nLIMIT 14;\",\"notes\":\"Used the provided Within-Group Share of Total template with group_col=\\\"gmean_Valence\\\", item_col=\\\"wtd_entropy_atomic_radius\\\", and measure_col=\\\"wtd_gmean_atomic_radius\\\". Cast the measure to REAL because the schema stores numeric fields as TEX"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..725c322b37d3a7c60eb41fc73b63a3b58f7867d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_12e54a34f7cde465", + "api_calls": 0, + "input_tokens": 25704, + "cached_input_tokens": 24960, + "output_tokens": 1202, + "total_tokens": 26906, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20815.53, + "sql_execution_elapsed_ms_total": 95.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_12e54a34f7cde465/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..13093de63406f3d2897cacd13262ed620add516c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/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=gmean_Valence, measure_col=wtd_entropy_atomic_mass. +Result preview: [{"gmean_Valence": 2.10397901101729, "percentile_measure": 1.906858574498927}, {"gmean_Valence": 2.70659989709772, "percentile_measure": 1.8708671432569899}, {"gmean_Valence": 2.41369038206807, "percentile_measure": 1.86112640954967}, {"gmean_Valence": 2.58341668418149, "percentile_measure": 1.85699320073074}, {"gmean_Valence": 1.91947121957741, "percentile_measure": 1.849380409233012}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..aba41bfef2211f40076b2b8dd07e6a7fce9d54b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/generated_sql.sql @@ -0,0 +1,81 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_134b021ee52c66cd +-- problem_id: v2p_n5_c75394ba096f8c84 +-- realization_mode: agent +-- source_kind: agent +WITH "typed" AS ( + SELECT + CAST("gmean_Valence" AS REAL) AS "gmean_Valence", + CAST("wtd_entropy_atomic_mass" AS REAL) AS "wtd_entropy_atomic_mass" + FROM "n5" + WHERE NULLIF(TRIM("gmean_Valence"), '') IS NOT NULL + AND NULLIF(TRIM("wtd_entropy_atomic_mass"), '') IS NOT NULL +), +"ranked" AS ( + SELECT + "gmean_Valence", + "wtd_entropy_atomic_mass", + ROW_NUMBER() OVER ( + PARTITION BY "gmean_Valence" + ORDER BY "wtd_entropy_atomic_mass" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "gmean_Valence" + ) AS "cnt" + FROM "typed" +), +"group_stats" AS ( + SELECT + "gmean_Valence", + MAX("cnt") AS "cnt", + 1.0 + (0.9 * (MAX("cnt") - 1)) AS "pos", + CAST(1.0 + (0.9 * (MAX("cnt") - 1)) AS INTEGER) AS "lower_rn" + FROM "ranked" + GROUP BY "gmean_Valence" +), +"picked" AS ( + SELECT + gs."gmean_Valence", + gs."cnt", + gs."pos", + gs."lower_rn", + CASE + WHEN gs."pos" > gs."lower_rn" THEN gs."lower_rn" + 1 + ELSE gs."lower_rn" + END AS "upper_rn", + MAX(CASE WHEN r."rn" = gs."lower_rn" THEN r."wtd_entropy_atomic_mass" END) AS "lower_val", + MAX( + CASE + WHEN r."rn" = CASE + WHEN gs."pos" > gs."lower_rn" THEN gs."lower_rn" + 1 + ELSE gs."lower_rn" + END THEN r."wtd_entropy_atomic_mass" + END + ) AS "upper_val" + FROM "group_stats" AS gs + JOIN "ranked" AS r + ON r."gmean_Valence" = gs."gmean_Valence" + GROUP BY + gs."gmean_Valence", + gs."cnt", + gs."pos", + gs."lower_rn" +) +SELECT + "gmean_Valence", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + (("pos" - "lower_rn") * ("upper_val" - "lower_val")) + END AS "percentile_measure" +FROM "picked" +WHERE "cnt" >= 5 +ORDER BY "percentile_measure" DESC, "gmean_Valence" ASC +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7820d27c70f40840d70965cfa017b933ae80a772 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/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 \"typed\" AS (\n SELECT\n CAST(\"gmean_Valence\" AS REAL) AS \"gmean_Valence\",\n CAST(\"wtd_entropy_atomic_mass\" AS REAL) AS \"wtd_entropy_atomic_mass\"\n FROM \"n5\"\n WHERE NULLIF(TRIM(\"gmean_Valence\"), '') IS NOT NULL\n AND NULLIF(TRIM(\"wtd_entropy_atomic_mass\"), '') IS NOT NULL\n),\n\"ranked\" AS (\n SELECT\n \"gmean_Valence\",\n \"wtd_entropy_atomic_mass\",\n ROW_NUMBER() OVER (\n PARTITION BY \"gmean_Valence\"\n ORDER BY \"wtd_entropy_atomic_mass\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"gmean_Valence\"\n ) AS \"cnt\"\n FROM \"typed\"\n),\n\"group_stats\" AS (\n SELECT\n \"gmean_Valence\",\n MAX(\"cnt\") AS \"cnt\",\n 1.0 + (0.9 * (MAX(\"cnt\") - 1)) AS \"pos\",\n CAST(1.0 + (0.9 * (MAX(\"cnt\") - 1)) AS INTEGER) AS \"lower_rn\"\n FROM \"ranked\"\n GROUP BY \"gmean_Valence\"\n),\n\"picked\" AS (\n SELECT\n gs.\"gmean_Valence\",\n gs.\"cnt\",\n gs.\"pos\",\n gs.\"lower_rn\",\n CASE\n WHEN gs.\"pos\" > gs.\"lower_rn\" THEN gs.\"lower_rn\" + 1\n ELSE gs.\"lower_rn\"\n END AS \"upper_rn\",\n MAX(CASE WHEN r.\"rn\" = gs.\"lower_rn\" THEN r.\"wtd_entropy_atomic_mass\" END) AS \"lower_val\",\n MAX(\n CASE\n WHEN r.\"rn\" = CASE\n WHEN gs.\"pos\" > gs.\"lower_rn\" THEN gs.\"lower_rn\" + 1\n ELSE gs.\"lower_rn\"\n END THEN r.\"wtd_entropy_atomic_mass\"\n END\n ) AS \"upper_val\"\n FROM \"group_stats\" AS gs\n JOIN \"ranked\" AS r\n ON r.\"gmean_Valence\" = gs.\"gmean_Valence\"\n GROUP BY\n gs.\"gmean_Valence\",\n gs.\"cnt\",\n gs.\"pos\",\n gs.\"lower_rn\"\n)\nSELECT\n \"gmean_Valence\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + ((\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\"))\n END AS \"percentile_measure\"\nFROM \"picked\"\nWHERE \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC, \"gmean_Valence\" ASC\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"typed\\\" AS (\\n SELECT\\n CAST(\\\"gmean_Valence\\\" AS REAL) AS \\\"gmean_Valence\\\",\\n CAST(\\\"wtd_entropy_atomic_mass\\\" AS REAL) AS \\\"wtd_entropy_atomic_mass\\\"\\n FROM \\\"n5\\\"\\n WHERE NULLIF(TRIM(\\\"gmean_Valence\\\"), '') IS NOT NULL\\n AND NULLIF(TRIM(\\\"wtd_entropy_atomic_mass\\\"), '') IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"gmean_Valence\\\",\\n \\\"wtd_entropy_atomic_mass\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"gmean_Valence\\\"\\n ORDER BY \\\"wtd_entropy_atomic_mass\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"gmean_Valence\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"typed\\\"\\n),\\n\\\"group_stats\\\" AS (\\n SELECT\\n \\\"gmean_Valence\\\",\\n MAX(\\\"cnt\\\") AS \\\"cnt\\\",\\n 1.0 + (0.9 * (MAX(\\\"cnt\\\") - 1)) AS \\\"pos\\\",\\n CAST(1.0 + (0.9 * (MAX(\\\"cnt\\\") - 1)) AS INTEGER) AS \\\"lower_rn\\\"\\n FROM \\\"ranked\\\"\\n GROUP BY \\\"gmean_Valence\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n gs.\\\"gmean_Valence\\\",\\n gs.\\\"cnt\\\",\\n gs.\\\"pos\\\",\\n gs.\\\"lower_rn\\\",\\n CASE\\n WHEN gs.\\\"pos\\\" > gs.\\\"lower_rn\\\" THEN gs.\\\"lower_rn\\\" + 1\\n ELSE gs.\\\"lower_rn\\\"\\n END AS \\\"upper_rn\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = gs.\\\"lower_rn\\\" THEN r.\\\"wtd_entropy_atomic_mass\\\" END) AS \\\"lower_val\\\",\\n MAX(\\n CASE\\n WHEN r.\\\"rn\\\" = CASE\\n WHEN gs.\\\"pos\\\" > gs.\\\"lower_rn\\\" THEN gs.\\\"lower_rn\\\" + 1\\n ELSE gs.\\\"lower_rn\\\"\\n END THEN r.\\\"wtd_entropy_atomic_mass\\\"\\n END\\n ) AS \\\"upper_val\\\"\\n FROM \\\"group_stats\\\" AS gs\\n JOIN \\\"ranked\\\" AS r\\n ON r.\\\"gmean_Valence\\\" = gs.\\\"gmean_Valence\\\"\\n GROUP BY\\n gs.\\\"gmean_Valence\\\",\\n gs.\\\"cnt\\\",\\n gs.\\\"pos\\\",\\n gs.\\\"lower_rn\\\"\\n)\\nSELECT\\n \\\"gmean_Valence\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + ((\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nWHERE \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"gmean_Valence\\\" ASC\\nLIMIT 12;\", \"columns\": [\"gmean_Valence\", \"percentile_measure\"], \"rows\": [{\"gmean_Valence\": 2.10397901101729, \"percentile_measure\": 1.906858574498927}, {\"gmean_Valence\": 2.70659989709772, \"percentile_measure\": 1.8708671432569899}, {\"gmean_Valence\": 2.41369038206807, \"percentile_measure\": 1.86112640954967}, {\"gmean_Valence\": 2.58341668418149, \"percentile_measure\": 1.85699320073074}, {\"gmean_Valence\": 1.91947121957741, \"percentile_measure\": 1.849380409233012}, {\"gmean_Valence\": 2.3284355309218, \"percentile_measure\": 1.843975303867768}, {\"gmean_Valence\": 3.02241878101881, \"percentile_measure\": 1.843578150133608}, {\"gmean_Valence\": 2.94471340036069, \"percentile_measure\": 1.8412061046187}, {\"gmean_Valence\": 3.20265777111539, \"percentile_measure\": 1.832695252334496}, {\"gmean_Valence\": 2.7374762132844, \"percentile_measure\": 1.816950685733252}, {\"gmean_Valence\": 3.12031850602576, \"percentile_measure\": 1.79972659672998}, {\"gmean_Valence\": 2.33986162551737, \"percentile_measure\": 1.78447725098245}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 103.2}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c5bc7587e4e2402b4e5ea510fecc14f25d633385 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:00:10.633035+00:00", + "ended_at": "2026-05-19T16:01:15.052107+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_134b021ee52c66cd", + "problem_id": "v2p_n5_c75394ba096f8c84", + "dataset_id": "n5", + "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=gmean_Valence, measure_col=wtd_entropy_atomic_mass.", + "bindings": { + "group_col": "gmean_Valence", + "measure_col": "wtd_entropy_atomic_mass", + "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": 1.290781, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_134b021ee52c66cd.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_134b021ee52c66cd", + "api_calls": 0, + "input_tokens": 25618, + "cached_input_tokens": 12032, + "output_tokens": 4264, + "total_tokens": 29882, + "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": 63299.69, + "sql_execution_elapsed_ms_total": 103.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..24342f69a80e54dc22ab2e49e8798cce5c2fef17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:00:13.783560+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": 3139.27, "started_at": "2026-05-19T16:00:10.643421+00:00", "ended_at": "2026-05-19T16:00:13.782716+00:00", "prompt_metrics": {"chars": 45018, "bytes_utf8": 45018, "lines": 1080, "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\":\"019e40f7-52b2-7e22-b4e1-2b1753decfe8\"}\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": "2026-05-19T16:01:14.947112+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": 60160.42, "started_at": "2026-05-19T16:00:14.785768+00:00", "ended_at": "2026-05-19T16:01:14.946229+00:00", "prompt_metrics": {"chars": 45018, "bytes_utf8": 45018, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 2270, "bytes_utf8": 2270, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25618, "cached_input_tokens": 12032, "output_tokens": 4264, "reasoning_output_tokens": 3521}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"typed\\\" AS (\\n SELECT\\n CAST(\\\"gmean_Valence\\\" AS REAL) AS \\\"gmean_Valence\\\",\\n CAST(\\\"wtd_entropy_atomic_mass\\\" AS REAL) AS \\\"wtd_entropy_atomic_mass\\\"\\n FROM \\\"n5\\\"\\n WHERE NULLIF(TRIM(\\\"gmean_Valence\\\"), '') IS NOT NULL\\n AND NULLIF(TRIM(\\\"wtd_entropy_atomic_mass\\\"), '') IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"gmean_Valence\\\",\\n \\\"wtd_entropy_atomic_mass\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"gmean_Valence\\\"\\n ORDER BY \\\"wtd_entropy_atomic_mass\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"gmean_Valence\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"typed\\\"\\n),\\n\\\"group_stats\\\" AS (\\n SELECT\\n \\\"gmean_Valence\\\",\\n MAX(\\\"cnt\\\") AS \\\"cnt\\\",\\n 1.0 + (0.9 * (MAX(\\\"cnt\\\") - 1)) AS \\\"pos\\\",\\n CAST(1.0 + (0.9 * (MAX(\\\"cnt\\\") - 1)) AS INTEGER) AS \\\"lower_rn\\\"\\n FROM \\\"ranked\\\"\\n GROUP BY \\\"gmean_Valence\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n gs.\\\"gmean_Valence\\\",\\n gs.\\\"cnt"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..42fc5fc0b10d5401e9413384a4d15712adb128af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_134b021ee52c66cd", + "api_calls": 0, + "input_tokens": 25618, + "cached_input_tokens": 12032, + "output_tokens": 4264, + "total_tokens": 29882, + "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": 63299.69, + "sql_execution_elapsed_ms_total": 103.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_134b021ee52c66cd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7f4d0417c7b9adcd2e2a983c81dccdc7f370314 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/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=gmean_Valence, measure_col=gmean_atomic_mass. +Result preview: [{"gmean_Valence": 2.21336383940064, "total_measure": 118057.90816686008}, {"gmean_Valence": 2.1689435423954, "total_measure": 96996.50876929467}, {"gmean_Valence": 2.49146187923103, "total_measure": 64028.922013734016}, {"gmean_Valence": 2.35215804504935, "total_measure": 56715.08073892133}, {"gmean_Valence": 4.47213595499958, "total_measure": 46061.62633194248}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..52c7b18f32be585fd851f3d7ea6fcf0a3966b3d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_15fffb8b6e3b8e23 +-- problem_id: v2p_n5_f23e2063cbee862c +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("gmean_Valence" AS REAL) AS "gmean_Valence", SUM(CAST("gmean_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +GROUP BY CAST("gmean_Valence" AS REAL) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..164b0e89abce564038f2e4b9f04f08199f1433e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT CAST(\"gmean_Valence\" AS REAL) AS \"gmean_Valence\", SUM(CAST(\"gmean_atomic_mass\" AS REAL)) AS \"total_measure\"\nFROM \"n5\"\nGROUP BY CAST(\"gmean_Valence\" AS REAL)\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"gmean_Valence\\\" AS REAL) AS \\\"gmean_Valence\\\", SUM(CAST(\\\"gmean_atomic_mass\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n5\\\"\\nGROUP BY CAST(\\\"gmean_Valence\\\" AS REAL)\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"gmean_Valence\", \"total_measure\"], \"rows\": [{\"gmean_Valence\": 2.21336383940064, \"total_measure\": 118057.90816686008}, {\"gmean_Valence\": 2.1689435423954, \"total_measure\": 96996.50876929467}, {\"gmean_Valence\": 2.49146187923103, \"total_measure\": 64028.922013734016}, {\"gmean_Valence\": 2.35215804504935, \"total_measure\": 56715.08073892133}, {\"gmean_Valence\": 4.47213595499958, \"total_measure\": 46061.62633194248}, {\"gmean_Valence\": 6.0, \"total_measure\": 40302.70155875815}, {\"gmean_Valence\": 4.16016764610381, \"total_measure\": 38722.558219728526}, {\"gmean_Valence\": 5.47722557505166, \"total_measure\": 38230.32390537888}, {\"gmean_Valence\": 4.89897948556636, \"total_measure\": 37354.63679115451}, {\"gmean_Valence\": 2.0, \"total_measure\": 35651.267842218855}, {\"gmean_Valence\": 3.46410161513775, \"total_measure\": 34694.47155778887}, {\"gmean_Valence\": 2.28942848510666, \"total_measure\": 33913.561667924165}, {\"gmean_Valence\": 2.40187391035201, \"total_measure\": 31821.76291757946}, {\"gmean_Valence\": 3.91486764116886, \"total_measure\": 28194.418501051186}, {\"gmean_Valence\": 3.0, \"total_measure\": 26663.48038661347}, {\"gmean_Valence\": 3.87298334620742, \"total_measure\": 25512.393124374346}, {\"gmean_Valence\": 2.40224886796286, \"total_measure\": 23256.273578599306}, {\"gmean_Valence\": 4.24264068711928, \"total_measure\": 21989.605729087834}, {\"gmean_Valence\": 2.49288287167843, \"total_measure\": 21557.68087678134}, {\"gmean_Valence\": 2.88449914061482, \"total_measure\": 21057.785404384922}, {\"gmean_Valence\": 5.0, \"total_measure\": 20939.167812646654}, {\"gmean_Valence\": 2.60517108469735, \"total_measure\": 18949.574976925895}, {\"gmean_Valence\": 3.63424118566428, \"total_measure\": 18798.576946427936}, {\"gmean_Valence\": 2.70192007704123, \"total_measure\": 18152.995298911974}, {\"gmean_Valence\": 4.93242414866094, \"total_measure\": 17430.066630472174}, {\"gmean_Valence\": 2.61532097202366, \"total_measure\": 17425.856166420002}, {\"gmean_Valence\": 2.13982638786733, \"total_measure\": 17268.537571492674}, {\"gmean_Valence\": 6.48074069840786, \"total_measure\": 15845.593674679645}, {\"gmean_Valence\": 2.82842712474619, \"total_measure\": 15688.19703276057}, {\"gmean_Valence\": 4.11953428781424, \"total_measure\": 15488.193523931239}, {\"gmean_Valence\": 4.0, \"total_measure\": 15050.741430725371}, {\"gmean_Valence\": 4.7622031559046, \"total_measure\": 13886.44378465511}, {\"gmean_Valence\": 3.30192724889463, \"total_measure\": 13293.76936256775}, {\"gmean_Valence\": 3.30975091964687, \"total_measure\": 12270.17907277774}, {\"gmean_Valence\": 4.64158883361278, \"total_measure\": 11476.7960660997}, {\"gmean_Valence\": 4.30886938006377, \"total_measure\": 10549.745977056531}, {\"gmean_Valence\": 2.63214802590498, \"total_measure\": 10540.646878140067}, {\"gmean_Valence\": 2.66709661118172, \"total_measure\": 10288.032791574882}, {\"gmean_Valence\": 2.79816641433953, \"total_measure\": 9629.8023875921}, {\"gmean_Valence\": 2.34034731932072, \"total_measure\": 9519.43445720942}, {\"gmean_Valence\": 4.48140474655716, \"total_measure\": 9401.672289626109}, {\"gmean_Valence\": 2.44948974278318, \"total_measure\": 8763.131528962389}, {\"gmean_Valence\": 4.57885697021333, \"total_measure\": 8466.219893778143}, {\"gmean_Valence\": 4.55901411390956, \"total_measure\": 8222.63282708576}, {\"gmean_Valence\": 3.66284150148471, \"total_measure\": 8156.506286484563}, {\"gmean_Valence\": 2.78315768371374, \"total_measure\": 8032.491486832967}, {\"gmean_Valence\": 2.33986162551737, \"total_measure\": 7560.221582243321}, {\"gmean_Valence\": 2.45950948584936, \"total_measure\": 7541.053449747948}, {\"gmean_Valence\": 2.11474252688113, \"total_measure\": 7499.7088049234135}, {\"gmean_Valence\": 5.24148278841779, \"total_measure\": 7423.288809074468}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 41.65}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dea58c82129b64721bfc88cbf7cab81074eaedf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:29:31.869710+00:00", + "ended_at": "2026-05-19T15:30:10.840299+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_15fffb8b6e3b8e23", + "problem_id": "v2p_n5_f23e2063cbee862c", + "dataset_id": "n5", + "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=gmean_Valence, measure_col=gmean_atomic_mass.", + "bindings": { + "group_col": "gmean_Valence", + "measure_col": "gmean_atomic_mass", + "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": 67.327555, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_15fffb8b6e3b8e23.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_15fffb8b6e3b8e23", + "api_calls": 0, + "input_tokens": 25578, + "cached_input_tokens": 12032, + "output_tokens": 637, + "total_tokens": 26215, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 38913.17, + "sql_execution_elapsed_ms_total": 41.65, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..75377fb4a1ff7510ff8f2c60e9b3ecf5518ac4a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:30:10.796536+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 38913.17, "started_at": "2026-05-19T15:29:31.882025+00:00", "ended_at": "2026-05-19T15:30:10.795224+00:00", "prompt_metrics": {"chars": 44829, "bytes_utf8": 44829, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 455, "bytes_utf8": 455, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25578, "cached_input_tokens": 12032, "output_tokens": 637, "reasoning_output_tokens": 505}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"gmean_Valence\\\" AS REAL) AS \\\"gmean_Valence\\\", SUM(CAST(\\\"gmean_atomic_mass\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n5\\\"\\nGROUP BY CAST(\\\"gmean_Valence\\\" AS REAL)\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the required Grouped Numeric Sum template with group_col=\\\"gmean_Valence\\\" and measure_col=\\\"gmean_atomic_mass\\\". Both columns are cast to REAL because the schema stores them as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5482181251fe73008e68dc7ec5455d94642af373 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_15fffb8b6e3b8e23", + "api_calls": 0, + "input_tokens": 25578, + "cached_input_tokens": 12032, + "output_tokens": 637, + "total_tokens": 26215, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 38913.17, + "sql_execution_elapsed_ms_total": 41.65, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_15fffb8b6e3b8e23/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_17afd20e1b879814/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_17afd20e1b879814/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6e2b793f0567c9fba70c9bb640aa42354e73b911 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_17afd20e1b879814/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:07:26.240112+00:00", + "ended_at": "2026-05-19T16:07:35.454288+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_17afd20e1b879814", + "problem_id": "v2p_n5_8e8e16016bd156da", + "dataset_id": "n5", + "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=range_atomic_radius, measure_col=mean_fie.", + "bindings": { + "group_col": "range_atomic_radius", + "measure_col": "mean_fie", + "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": 774.784, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=92" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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_c/n5/artifacts/v2q_n5_17afd20e1b879814/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_17afd20e1b879814/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ce6472a2063106733246e0119d7bbe2ae48af451 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_17afd20e1b879814/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:31.429291+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": 5176.59, "started_at": "2026-05-19T16:07:26.251872+00:00", "ended_at": "2026-05-19T16:07:31.428487+00:00", "prompt_metrics": {"chars": 45001, "bytes_utf8": 45001, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fd-f83a-72a1-82ef-fa8b29867a9c\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:35.454130+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": 3021.3, "started_at": "2026-05-19T16:07:32.430757+00:00", "ended_at": "2026-05-19T16:07:35.452092+00:00", "prompt_metrics": {"chars": 45001, "bytes_utf8": 45001, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-103f-7241-81a6-da1a3a4603ad\"}\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_c/n5/artifacts/v2q_n5_1997776353e31157/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..24dd22a8e78f14b089f5a2b8db1fd71d943c5007 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/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=entropy_Valence, measure_col=wtd_gmean_atomic_mass. +Result preview: [{"entropy_Valence": 1.36892236074022, "total_measure": 75320.4753704917}, {"entropy_Valence": 0.693147180559945, "total_measure": 63426.143769685215}, {"entropy_Valence": 1.59416669911802, "total_measure": 61610.67008885683}, {"entropy_Valence": 0.686961576597323, "total_measure": 45390.82828796116}, {"entropy_Valence": 0.673011667009257, "total_measure": 43170.00535880461}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c98914d16ecb6b07686212930e68cf1ffd6490ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_1997776353e31157 +-- problem_id: v2p_n5_8b6618666b4a01d6 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("entropy_Valence" AS REAL) AS "entropy_Valence", SUM(CAST("wtd_gmean_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +GROUP BY CAST("entropy_Valence" AS REAL) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5fda089f38e4b2217b8c629070b1c48bea0b4a13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT CAST(\"entropy_Valence\" AS REAL) AS \"entropy_Valence\", SUM(CAST(\"wtd_gmean_atomic_mass\" AS REAL)) AS \"total_measure\"\nFROM \"n5\"\nGROUP BY CAST(\"entropy_Valence\" AS REAL)\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"entropy_Valence\\\" AS REAL) AS \\\"entropy_Valence\\\", SUM(CAST(\\\"wtd_gmean_atomic_mass\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n5\\\"\\nGROUP BY CAST(\\\"entropy_Valence\\\" AS REAL)\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"entropy_Valence\", \"total_measure\"], \"rows\": [{\"entropy_Valence\": 1.36892236074022, \"total_measure\": 75320.4753704917}, {\"entropy_Valence\": 0.693147180559945, \"total_measure\": 63426.143769685215}, {\"entropy_Valence\": 1.59416669911802, \"total_measure\": 61610.67008885683}, {\"entropy_Valence\": 0.686961576597323, \"total_measure\": 45390.82828796116}, {\"entropy_Valence\": 0.673011667009257, \"total_measure\": 43170.00535880461}, {\"entropy_Valence\": 0.689009238476659, \"total_measure\": 37639.3820277458}, {\"entropy_Valence\": 1.5649572502428, \"total_measure\": 34911.87285044263}, {\"entropy_Valence\": 1.58902691517397, \"total_measure\": 33822.8930015623}, {\"entropy_Valence\": 1.05790542470367, \"total_measure\": 31578.6236646054}, {\"entropy_Valence\": 0.636514168294813, \"total_measure\": 31214.84120085333}, {\"entropy_Valence\": 0.0, \"total_measure\": 28775.935897299998}, {\"entropy_Valence\": 0.661563238157982, \"total_measure\": 25318.46037457653}, {\"entropy_Valence\": 1.0775563270668, \"total_measure\": 25089.750946676922}, {\"entropy_Valence\": 0.682908104700472, \"total_measure\": 23232.6900344038}, {\"entropy_Valence\": 1.05492016798614, \"total_measure\": 18164.207179744244}, {\"entropy_Valence\": 1.74897075077131, \"total_measure\": 17926.63843155288}, {\"entropy_Valence\": 1.09861228866811, \"total_measure\": 16795.085036085457}, {\"entropy_Valence\": 1.08518861296765, \"total_measure\": 16029.290022003614}, {\"entropy_Valence\": 0.690185676018804, \"total_measure\": 15950.39313111961}, {\"entropy_Valence\": 1.77213938843753, \"total_measure\": 15944.396060364392}, {\"entropy_Valence\": 1.5193826646423, \"total_measure\": 15850.700203058814}, {\"entropy_Valence\": 1.71707598019888, \"total_measure\": 14988.937703748763}, {\"entropy_Valence\": 1.35458107521317, \"total_measure\": 13908.827711446265}, {\"entropy_Valence\": 1.70747543516624, \"total_measure\": 13355.889440652754}, {\"entropy_Valence\": 1.09005965871078, \"total_measure\": 12322.121153634136}, {\"entropy_Valence\": 1.77823330579971, \"total_measure\": 11332.081625767927}, {\"entropy_Valence\": 1.53177807879137, \"total_measure\": 10908.060233586684}, {\"entropy_Valence\": 1.33373602720281, \"total_measure\": 10747.538160499726}, {\"entropy_Valence\": 1.07899220787758, \"total_measure\": 10459.40441188597}, {\"entropy_Valence\": 1.09283055352849, \"total_measure\": 10429.158158412658}, {\"entropy_Valence\": 1.09337471755665, \"total_measure\": 10005.595716024176}, {\"entropy_Valence\": 1.2406842919534, \"total_measure\": 9568.502424494358}, {\"entropy_Valence\": 1.49440321137961, \"total_measure\": 9560.246594350856}, {\"entropy_Valence\": 1.08889997534522, \"total_measure\": 9113.779302518018}, {\"entropy_Valence\": 1.06094424079075, \"total_measure\": 8938.529955617216}, {\"entropy_Valence\": 1.38629436111989, \"total_measure\": 8864.129540163212}, {\"entropy_Valence\": 1.06708951878208, \"total_measure\": 8311.415954616059}, {\"entropy_Valence\": 1.06085694715802, \"total_measure\": 7826.466296543147}, {\"entropy_Valence\": 1.03972077083992, \"total_measure\": 7819.847507615735}, {\"entropy_Valence\": 1.08219553003877, \"total_measure\": 7729.083668435175}, {\"entropy_Valence\": 1.87406320769729, \"total_measure\": 7502.212023776699}, {\"entropy_Valence\": 1.55711309805765, \"total_measure\": 7178.954559821108}, {\"entropy_Valence\": 1.01140426470735, \"total_measure\": 6806.0989320701765}, {\"entropy_Valence\": 0.679193265991526, \"total_measure\": 6793.033334878123}, {\"entropy_Valence\": 1.49436508345339, \"total_measure\": 6472.9643514312575}, {\"entropy_Valence\": 1.34748487699694, \"total_measure\": 6313.329675343022}, {\"entropy_Valence\": 1.30509637194834, \"total_measure\": 6266.536445881005}, {\"entropy_Valence\": 1.3421131789144, \"total_measure\": 6167.705058456413}, {\"entropy_Valence\": 1.6094379124341, \"total_measure\": 6087.425182426576}, {\"entropy_Valence\": 1.72108914922872, \"total_measure\": 6044.427953793476}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 51.83}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e197e8688f45a2aa2c59c493a82c0acf5c550c36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:31:16.422402+00:00", + "ended_at": "2026-05-19T15:31:37.364077+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_1997776353e31157", + "problem_id": "v2p_n5_8b6618666b4a01d6", + "dataset_id": "n5", + "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=entropy_Valence, measure_col=wtd_gmean_atomic_mass.", + "bindings": { + "group_col": "entropy_Valence", + "measure_col": "wtd_gmean_atomic_mass", + "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": 36.58224, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_1997776353e31157.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_1997776353e31157", + "api_calls": 0, + "input_tokens": 25581, + "cached_input_tokens": 12032, + "output_tokens": 652, + "total_tokens": 26233, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20874.84, + "sql_execution_elapsed_ms_total": 51.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3edc0c066412f2b699003627689154446ceb4337 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:37.309969+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 20874.84, "started_at": "2026-05-19T15:31:16.433427+00:00", "ended_at": "2026-05-19T15:31:37.308303+00:00", "prompt_metrics": {"chars": 44842, "bytes_utf8": 44842, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 491, "bytes_utf8": 491, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25581, "cached_input_tokens": 12032, "output_tokens": 652, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"entropy_Valence\\\" AS REAL) AS \\\"entropy_Valence\\\", SUM(CAST(\\\"wtd_gmean_atomic_mass\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n5\\\"\\nGROUP BY CAST(\\\"entropy_Valence\\\" AS REAL)\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned grouped-sum template with \\\"entropy_Valence\\\" as the grouping field and \\\"wtd_gmean_atomic_mass\\\" as the summed measure. Both columns are cast to REAL because the SQLite schema stores them as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6ad2f40177cc81a8e4bb53cd418100bf29419bdf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_1997776353e31157", + "api_calls": 0, + "input_tokens": 25581, + "cached_input_tokens": 12032, + "output_tokens": 652, + "total_tokens": 26233, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20874.84, + "sql_execution_elapsed_ms_total": 51.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1997776353e31157/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..63d394e5eadc1fa590bc625059082b5099659a6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/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=range_atomic_radius, measure_col=mean_atomic_mass. +Result preview: [{"range_atomic_radius": 205.0, "total_measure": 528388.6705855544}, {"range_atomic_radius": 171.0, "total_measure": 261337.00083991827}, {"range_atomic_radius": 139.0, "total_measure": 37773.27226422666}, {"range_atomic_radius": 199.0, "total_measure": 32164.713454738096}, {"range_atomic_radius": 0.0, "total_measure": 31344.2415698}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fa1394df7a3da0f10a0a05dbd30bd8057842cfa8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_19e8ac22f56ce4c0 +-- problem_id: v2p_n5_f911dc72305c9709 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("range_atomic_radius" AS REAL) AS "range_atomic_radius", SUM(CAST("mean_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +WHERE "range_atomic_radius" IS NOT NULL + AND "mean_atomic_mass" IS NOT NULL +GROUP BY CAST("range_atomic_radius" AS REAL) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..25cfe59b150452f2ebe0eb6d07dbb7ef0898b9dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT CAST(\"range_atomic_radius\" AS REAL) AS \"range_atomic_radius\", SUM(CAST(\"mean_atomic_mass\" AS REAL)) AS \"total_measure\"\nFROM \"n5\"\nWHERE \"range_atomic_radius\" IS NOT NULL\n AND \"mean_atomic_mass\" IS NOT NULL\nGROUP BY CAST(\"range_atomic_radius\" AS REAL)\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"range_atomic_radius\\\" AS REAL) AS \\\"range_atomic_radius\\\", SUM(CAST(\\\"mean_atomic_mass\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"range_atomic_radius\\\" IS NOT NULL\\n AND \\\"mean_atomic_mass\\\" IS NOT NULL\\nGROUP BY CAST(\\\"range_atomic_radius\\\" AS REAL)\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"range_atomic_radius\", \"total_measure\"], \"rows\": [{\"range_atomic_radius\": 205.0, \"total_measure\": 528388.6705855544}, {\"range_atomic_radius\": 171.0, \"total_measure\": 261337.00083991827}, {\"range_atomic_radius\": 139.0, \"total_measure\": 37773.27226422666}, {\"range_atomic_radius\": 199.0, \"total_measure\": 32164.713454738096}, {\"range_atomic_radius\": 0.0, \"total_measure\": 31344.2415698}, {\"range_atomic_radius\": 33.0, \"total_measure\": 28906.933403833336}, {\"range_atomic_radius\": 2.0, \"total_measure\": 27313.51776}, {\"range_atomic_radius\": 53.0, \"total_measure\": 24204.741283249998}, {\"range_atomic_radius\": 185.0, \"total_measure\": 21110.827585928575}, {\"range_atomic_radius\": 80.0, \"total_measure\": 19732.573223289994}, {\"range_atomic_radius\": 158.0, \"total_measure\": 18102.030715833334}, {\"range_atomic_radius\": 147.0, \"total_measure\": 18047.980414520003}, {\"range_atomic_radius\": 190.0, \"total_measure\": 17951.012007093144}, {\"range_atomic_radius\": 62.0, \"total_measure\": 13706.536197383335}, {\"range_atomic_radius\": 29.0, \"total_measure\": 13449.95831116666}, {\"range_atomic_radius\": 10.0, \"total_measure\": 12941.862003833334}, {\"range_atomic_radius\": 145.0, \"total_measure\": 12896.5662893}, {\"range_atomic_radius\": 183.0, \"total_measure\": 12876.17661197286}, {\"range_atomic_radius\": 153.0, \"total_measure\": 11824.337697746667}, {\"range_atomic_radius\": 103.0, \"total_measure\": 11593.301421236674}, {\"range_atomic_radius\": 12.0, \"total_measure\": 11521.89258333334}, {\"range_atomic_radius\": 13.0, \"total_measure\": 11434.963129333337}, {\"range_atomic_radius\": 87.0, \"total_measure\": 11197.327289919996}, {\"range_atomic_radius\": 18.0, \"total_measure\": 11093.248457}, {\"range_atomic_radius\": 57.0, \"total_measure\": 10880.71594333334}, {\"range_atomic_radius\": 142.0, \"total_measure\": 10641.731253037333}, {\"range_atomic_radius\": 5.0, \"total_measure\": 10571.72502}, {\"range_atomic_radius\": 77.0, \"total_measure\": 10514.009178083345}, {\"range_atomic_radius\": 8.0, \"total_measure\": 10422.440826666665}, {\"range_atomic_radius\": 20.0, \"total_measure\": 10356.342626833333}, {\"range_atomic_radius\": 35.0, \"total_measure\": 10300.450328333334}, {\"range_atomic_radius\": 7.0, \"total_measure\": 10155.194270500002}, {\"range_atomic_radius\": 106.0, \"total_measure\": 9969.52435108333}, {\"range_atomic_radius\": 164.0, \"total_measure\": 9850.625597826665}, {\"range_atomic_radius\": 11.0, \"total_measure\": 9821.067200333333}, {\"range_atomic_radius\": 70.0, \"total_measure\": 9261.027551099998}, {\"range_atomic_radius\": 84.0, \"total_measure\": 9180.248172933336}, {\"range_atomic_radius\": 22.0, \"total_measure\": 9155.598346333334}, {\"range_atomic_radius\": 95.0, \"total_measure\": 8789.401193200001}, {\"range_atomic_radius\": 17.0, \"total_measure\": 8592.72644000001}, {\"range_atomic_radius\": 24.0, \"total_measure\": 8578.225456799999}, {\"range_atomic_radius\": 73.0, \"total_measure\": 8533.51143}, {\"range_atomic_radius\": 150.0, \"total_measure\": 8504.84665085}, {\"range_atomic_radius\": 114.0, \"total_measure\": 8384.613705999996}, {\"range_atomic_radius\": 111.0, \"total_measure\": 8229.541239693333}, {\"range_atomic_radius\": 74.0, \"total_measure\": 7985.842579833339}, {\"range_atomic_radius\": 50.0, \"total_measure\": 7945.308019916672}, {\"range_atomic_radius\": 178.0, \"total_measure\": 7792.925178971429}, {\"range_atomic_radius\": 97.0, \"total_measure\": 7786.402073866666}, {\"range_atomic_radius\": 3.0, \"total_measure\": 7727.88123}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 52.54}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9b68be0a75b60f40146e3addc3e8a9123bd82c2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:28:53.955705+00:00", + "ended_at": "2026-05-19T15:29:07.849573+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_19e8ac22f56ce4c0", + "problem_id": "v2p_n5_f911dc72305c9709", + "dataset_id": "n5", + "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=range_atomic_radius, measure_col=mean_atomic_mass.", + "bindings": { + "group_col": "range_atomic_radius", + "measure_col": "mean_atomic_mass", + "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": 96.976122, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_19e8ac22f56ce4c0.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_19e8ac22f56ce4c0", + "api_calls": 0, + "input_tokens": 25574, + "cached_input_tokens": 0, + "output_tokens": 660, + "total_tokens": 26234, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13823.76, + "sql_execution_elapsed_ms_total": 52.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..836ace182386dfb9ad51289d96fdd6edf7ffe5c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:07.794634+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13823.76, "started_at": "2026-05-19T15:28:53.969086+00:00", "ended_at": "2026-05-19T15:29:07.792880+00:00", "prompt_metrics": {"chars": 44842, "bytes_utf8": 44842, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 590, "bytes_utf8": 590, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25574, "cached_input_tokens": 0, "output_tokens": 660, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"range_atomic_radius\\\" AS REAL) AS \\\"range_atomic_radius\\\", SUM(CAST(\\\"mean_atomic_mass\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"range_atomic_radius\\\" IS NOT NULL\\n AND \\\"mean_atomic_mass\\\" IS NOT NULL\\nGROUP BY CAST(\\\"range_atomic_radius\\\" AS REAL)\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the grouped numeric sum template with \\\"range_atomic_radius\\\" as the grouping field and \\\"mean_atomic_mass\\\" as the summed measure, casting both TEXT-backed columns to REAL for SQLite-compatible numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..36b0e4ca2da9fd37845ba39ca7df7fa53c9d6de9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_19e8ac22f56ce4c0", + "api_calls": 0, + "input_tokens": 25574, + "cached_input_tokens": 0, + "output_tokens": 660, + "total_tokens": 26234, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13823.76, + "sql_execution_elapsed_ms_total": 52.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_19e8ac22f56ce4c0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1c55221295d17b44/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1c55221295d17b44/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6b71ed5709d2c4c7f22522b016110098837a0dbc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1c55221295d17b44/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:10:51.759496+00:00", + "ended_at": "2026-05-19T16:10:59.967329+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_1c55221295d17b44", + "problem_id": "v2p_n5_f132940bbe0e3ba5", + "dataset_id": "n5", + "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=gmean_Density.", + "bindings": { + "measure_col": "gmean_Density", + "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": 986.177796, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_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_c/n5/artifacts/v2q_n5_1c55221295d17b44/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1c55221295d17b44/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a893358a35cb9e563210661bb967346778f6312d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1c55221295d17b44/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:55.519501+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": 3748.14, "started_at": "2026-05-19T16:10:51.770351+00:00", "ended_at": "2026-05-19T16:10:55.518520+00:00", "prompt_metrics": {"chars": 44750, "bytes_utf8": 44750, "lines": 1078, "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\":\"019e4101-1b06-7bf1-bfb9-a3e15ed50bf3\"}\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": "2026-05-19T16:10:59.967242+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": 3445.35, "started_at": "2026-05-19T16:10:56.521031+00:00", "ended_at": "2026-05-19T16:10:59.966421+00:00", "prompt_metrics": {"chars": 44750, "bytes_utf8": 44750, "lines": 1078, "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\":\"019e4101-2d94-7170-a011-c84ae28f42c8\"}\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_c/n5/artifacts/v2q_n5_1e6707339f1034a7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1e6707339f1034a7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7ed2768dbb5120e42c53e6ff1289e93619cb74e7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1e6707339f1034a7/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:54:49.107829+00:00", + "ended_at": "2026-05-19T15:54:56.774783+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_1e6707339f1034a7", + "problem_id": "v2p_n5_0241393b020ca43c", + "dataset_id": "n5", + "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=std_Valence, measure_col=range_Valence.", + "bindings": { + "group_col": "std_Valence", + "measure_col": "range_Valence", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "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", + "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_c/n5/artifacts/v2q_n5_1e6707339f1034a7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1e6707339f1034a7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3dde6440bba28c36b085f0ea0334c5227a2ecb49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1e6707339f1034a7/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:54:52.356869+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": 3235.08, "started_at": "2026-05-19T15:54:49.120538+00:00", "ended_at": "2026-05-19T15:54:52.355648+00:00", "prompt_metrics": {"chars": 45366, "bytes_utf8": 45366, "lines": 1080, "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\":\"019e40f2-6abd-77b0-8d34-3649a88193bf\"}\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": "2026-05-19T15:54:56.774672+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": 3414.06, "started_at": "2026-05-19T15:54:53.359563+00:00", "ended_at": "2026-05-19T15:54:56.773668+00:00", "prompt_metrics": {"chars": 45366, "bytes_utf8": 45366, "lines": 1080, "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\":\"019e40f2-7b42-7431-aa15-fad66266a45a\"}\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_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..912da3e9ce644c5aad2f52b9b2adb5460b8a9665 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/final_answer.txt @@ -0,0 +1 @@ +No rows were returned for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=mean_Valence, measure_col=wtd_mean_Valence. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0f9b1ca118eaf87416121bd65ebd0e0c6a60f915 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_1ebf61ef2de916d9 +-- problem_id: v2p_n5_33e98660b144bb22 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "mean_Valence", SUM(CAST("wtd_mean_Valence" AS REAL)) AS "group_value" + FROM "n5" + GROUP BY "mean_Valence" +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT g."mean_Valence", 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_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..60db6bfc74b3b6a7d34f80f2db7f26bfb252ae40 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/query_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 \"mean_Valence\", SUM(CAST(\"wtd_mean_Valence\" AS REAL)) AS \"group_value\"\n FROM \"n5\"\n GROUP BY \"mean_Valence\"\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT g.\"mean_Valence\", 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 \\\"mean_Valence\\\", SUM(CAST(\\\"wtd_mean_Valence\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n5\\\"\\n GROUP BY \\\"mean_Valence\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"mean_Valence\\\", 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\": [\"mean_Valence\", \"group_value\"], \"rows\": [], \"row_count_returned\": 0, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 40.01}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..60d0bff25d82cd9cdae5f8dcae99f06bfe7bcbe7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:52:48.190110+00:00", + "ended_at": "2026-05-19T15:53:01.246155+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_1ebf61ef2de916d9", + "problem_id": "v2p_n5_33e98660b144bb22", + "dataset_id": "n5", + "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=mean_Valence, measure_col=wtd_mean_Valence.", + "bindings": { + "group_col": "mean_Valence", + "measure_col": "wtd_mean_Valence", + "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": 2.307143, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=72" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_1ebf61ef2de916d9.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_1ebf61ef2de916d9", + "api_calls": 0, + "input_tokens": 25717, + "cached_input_tokens": 24960, + "output_tokens": 594, + "total_tokens": 26311, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13001.15, + "sql_execution_elapsed_ms_total": 40.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..709d460fb89164ec36589e61bd070f0b9104ecb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:53:01.204000+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13001.15, "started_at": "2026-05-19T15:52:48.201468+00:00", "ended_at": "2026-05-19T15:53:01.202654+00:00", "prompt_metrics": {"chars": 45379, "bytes_utf8": 45379, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 698, "bytes_utf8": 698, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25717, "cached_input_tokens": 24960, "output_tokens": 594, "reasoning_output_tokens": 397}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"mean_Valence\\\", SUM(CAST(\\\"wtd_mean_Valence\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n5\\\"\\n GROUP BY \\\"mean_Valence\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"mean_Valence\\\", 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=\\\"mean_Valence\\\" and measure_col=\\\"wtd_mean_Valence\\\". CAST to REAL is used because the SQLite schema stores these fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2b21d808dceb4a6f7fd9c5861cfafe44d4ba966e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_1ebf61ef2de916d9", + "api_calls": 0, + "input_tokens": 25717, + "cached_input_tokens": 24960, + "output_tokens": 594, + "total_tokens": 26311, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13001.15, + "sql_execution_elapsed_ms_total": 40.01, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_1ebf61ef2de916d9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_226fd17a1a13aad3/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_226fd17a1a13aad3/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0dc8240303f9588a854e4350940cbb3795a20c66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_226fd17a1a13aad3/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"wtd_entropy_atomic_mass": "0", "support": 285, "avg_response": 100.96819613087719}, {"wtd_entropy_atomic_mass": "1.29188813799544", "support": 110, "avg_response": 51.24566538461539}, {"wtd_entropy_atomic_mass": "1.37205026883777", "support": 83, "avg_response": 59.2244}, {"wtd_entropy_atomic_mass": "0.981879783570863", "support": 53, "avg_response": 56.80881707142861}, {"wtd_entropy_atomic_mass": "0.691439830850295", "support": 47, "avg_response": 15.308999999999997}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_226fd17a1a13aad3/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_226fd17a1a13aad3/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6e691d4687b289f9bd46078fc4296f93295107ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_226fd17a1a13aad3/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_226fd17a1a13aad3 +-- problem_id: v2p_n5_7681f047f43dc1db +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "wtd_entropy_atomic_mass", + COUNT(*) AS support, + AVG("wtd_mean_atomic_mass") AS avg_response +FROM "n5" +GROUP BY "wtd_entropy_atomic_mass" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_226fd17a1a13aad3/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_226fd17a1a13aad3/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..feb57168d908534b88ffa12ecb0affa46d24e5ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_226fd17a1a13aad3/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_c\n-- sql_source_dataset_id: n5\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_n5_226fd17a1a13aad3\n-- problem_id: v2p_n5_7681f047f43dc1db\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"wtd_entropy_atomic_mass\",\n COUNT(*) AS support,\n AVG(\"wtd_mean_atomic_mass\") AS avg_response\nFROM \"n5\"\nGROUP BY \"wtd_entropy_atomic_mass\"\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_c\\n-- sql_source_dataset_id: n5\\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_n5_226fd17a1a13aad3\\n-- problem_id: v2p_n5_7681f047f43dc1db\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"wtd_entropy_atomic_mass\\\",\\n COUNT(*) AS support,\\n AVG(\\\"wtd_mean_atomic_mass\\\") AS avg_response\\nFROM \\\"n5\\\"\\nGROUP BY \\\"wtd_entropy_atomic_mass\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"wtd_entropy_atomic_mass\", \"support\", \"avg_response\"], \"rows\": [{\"wtd_entropy_atomic_mass\": \"0\", \"support\": 285, \"avg_response\": 100.96819613087719}, {\"wtd_entropy_atomic_mass\": \"1.29188813799544\", \"support\": 110, \"avg_response\": 51.24566538461539}, {\"wtd_entropy_atomic_mass\": \"1.37205026883777\", \"support\": 83, \"avg_response\": 59.2244}, {\"wtd_entropy_atomic_mass\": \"0.981879783570863\", \"support\": 53, \"avg_response\": 56.80881707142861}, {\"wtd_entropy_atomic_mass\": \"0.691439830850295\", \"support\": 47, \"avg_response\": 15.308999999999997}, {\"wtd_entropy_atomic_mass\": \"1.15864641056541\", \"support\": 45, \"avg_response\": 76.633}, {\"wtd_entropy_atomic_mass\": \"1.19859533712639\", \"support\": 44, \"avg_response\": 97.04627499999998}, {\"wtd_entropy_atomic_mass\": \"1.10818929255145\", \"support\": 44, \"avg_response\": 81.45675}, {\"wtd_entropy_atomic_mass\": \"1.2907810825305\", \"support\": 40, \"avg_response\": 49.7159366666667}, {\"wtd_entropy_atomic_mass\": \"1.0106349712319\", \"support\": 32, \"avg_response\": 59.3441}, {\"wtd_entropy_atomic_mass\": \"1.01649536763193\", \"support\": 30, \"avg_response\": 56.4424922857143}, {\"wtd_entropy_atomic_mass\": \"1.19958769636454\", \"support\": 28, \"avg_response\": 75.34845}, {\"wtd_entropy_atomic_mass\": \"1.3303223985855\", \"support\": 28, \"avg_response\": 55.5022923076923}, {\"wtd_entropy_atomic_mass\": \"1.01913418487134\", \"support\": 27, \"avg_response\": 58.4628789285714}, {\"wtd_entropy_atomic_mass\": \"0.943560479191362\", \"support\": 25, \"avg_response\": 57.1751418571429}, {\"wtd_entropy_atomic_mass\": \"1.33465627293655\", \"support\": 25, \"avg_response\": 56.5029076923077}, {\"wtd_entropy_atomic_mass\": \"1.01657613066848\", \"support\": 25, \"avg_response\": 48.6153714285714}, {\"wtd_entropy_atomic_mass\": \"1.29069116588067\", \"support\": 23, \"avg_response\": 51.518892248062}, {\"wtd_entropy_atomic_mass\": \"0.659168835173801\", \"support\": 21, \"avg_response\": 83.6087933333333}, {\"wtd_entropy_atomic_mass\": \"1.53412043199123\", \"support\": 21, \"avg_response\": 54.627075}, {\"wtd_entropy_atomic_mass\": \"1.29129397344482\", \"support\": 21, \"avg_response\": 51.3817513513513}, {\"wtd_entropy_atomic_mass\": \"1.08441181754258\", \"support\": 21, \"avg_response\": 39.9875583333333}, {\"wtd_entropy_atomic_mass\": \"1.28945925101998\", \"support\": 20, \"avg_response\": 51.79638828125}, {\"wtd_entropy_atomic_mass\": \"1.59175741225603\", \"support\": 20, \"avg_response\": 49.1890857142857}, {\"wtd_entropy_atomic_mass\": \"0.509574943189336\", \"support\": 19, \"avg_response\": 87.837285}, {\"wtd_entropy_atomic_mass\": \"0.298496536607205\", \"support\": 19, \"avg_response\": 76.42516965}, {\"wtd_entropy_atomic_mass\": \"1.05902132876475\", \"support\": 19, \"avg_response\": 71.002824}, {\"wtd_entropy_atomic_mass\": \"0.431701394709566\", \"support\": 19, \"avg_response\": 45.2275}, {\"wtd_entropy_atomic_mass\": \"1.38327196628044\", \"support\": 18, \"avg_response\": 65.2390533333333}, {\"wtd_entropy_atomic_mass\": \"0.575580530539465\", \"support\": 18, \"avg_response\": 15.508657142857098}, {\"wtd_entropy_atomic_mass\": \"1.1580214129292\", \"support\": 17, \"avg_response\": 85.90295432}, {\"wtd_entropy_atomic_mass\": \"1.38979095629223\", \"support\": 17, \"avg_response\": 52.0456930769231}, {\"wtd_entropy_atomic_mass\": \"1.05428412954791\", \"support\": 17, \"avg_response\": 36.69704}, {\"wtd_entropy_atomic_mass\": \"1.44811104821876\", \"support\": 16, \"avg_response\": 61.5342}, {\"wtd_entropy_atomic_mass\": \"0.99537167081649\", \"support\": 16, \"avg_response\": 60.961}, {\"wtd_entropy_atomic_mass\": \"1.33253260982635\", \"support\": 16, \"avg_response\": 55.9729076923077}, {\"wtd_entropy_atomic_mass\": \"1.28486126498448\", \"support\": 16, \"avg_response\": 52.8027293172691}, {\"wtd_entropy_atomic_mass\": \"1.01503532321942\", \"support\": 16, \"avg_response\": 52.6583033333333}, {\"wtd_entropy_atomic_mass\": \"0.847771942608817\", \"support\": 16, \"avg_response\": 45.9025333333333}, {\"wtd_entropy_atomic_mass\": \"0.565959402599918\", \"support\": 16, \"avg_response\": 42.47918}, {\"wtd_entropy_atomic_mass\": \"1.08174216893416\", \"support\": 16, \"avg_response\": 31.7150128666667}, {\"wtd_entropy_atomic_mass\": \"0.404928245157541\", \"support\": 16, \"avg_response\": 13.3005857142857}, {\"wtd_entropy_atomic_mass\": \"0.609754311898155\", \"support\": 15, \"avg_response\": 99.357285}, {\"wtd_entropy_atomic_mass\": \"1.20592228408064\", \"support\": 15, \"avg_response\": 71.500340088}, {\"wtd_entropy_atomic_mass\": \"1.33710775361108\", \"support\": 15, \"avg_response\": 57.2728307692308}, {\"wtd_entropy_atomic_mass\": \"1.0033640413319\", \"support\": 15, \"avg_response\": 54.33105}, {\"wtd_entropy_atomic_mass\": \"1.28819163826048\", \"support\": 15, \"avg_response\": 52.0782543307087}, {\"wtd_entropy_atomic_mass\": \"1.29141349486499\", \"support\": 15, \"avg_response\": 51.35445015432099}, {\"wtd_entropy_atomic_mass\": \"1.16125576050284\", \"support\": 14, \"avg_response\": 91.2202}, {\"wtd_entropy_atomic_mass\": \"1.48317453209182\", \"support\": 14, \"avg_response\": 58.6425578947368}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 23.59}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_226fd17a1a13aad3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_226fd17a1a13aad3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..31b722ebc3b91fa17e40eef9276b1c618a3aaf08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_226fd17a1a13aad3/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:15:36.894156+00:00", + "ended_at": "2026-05-19T16:15:36.918777+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_226fd17a1a13aad3", + "problem_id": "v2p_n5_7681f047f43dc1db", + "dataset_id": "n5", + "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=wtd_mean_atomic_mass, key_col=wtd_entropy_atomic_mass.", + "bindings": { + "key_col": "wtd_entropy_atomic_mass", + "measure_col": "wtd_mean_atomic_mass", + "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_c/n5/sql/v2q_n5_226fd17a1a13aad3.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_c/n5/artifacts/v2q_n5_226fd17a1a13aad3/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_226fd17a1a13aad3/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_226fd17a1a13aad3/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_c/n5/artifacts/v2q_n5_2278a79737dd1c63/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..dee1f68d78fd4954c86c0ba8418cef3071e33d94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/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=range_atomic_radius, measure_col=std_atomic_radius. +Result preview: [{"range_atomic_radius": 99.0, "mean_Density": 5826.66666666667, "total_measure": 41.0717529317765, "share_within_group": 100.0}, {"range_atomic_radius": 127.0, "mean_Density": 1905.0, "total_measure": 698.5, "share_within_group": 100.0}, {"range_atomic_radius": 149.0, "mean_Density": 6944.33333333333, "total_measure": 60.884225287745, "share_within_group": 100.0}, {"range_atomic_radius": 163.0, "mean_Density": 3986.11625, "total_measure": 73.5544016357961, "share_within_group": 100.0}, {"range_atomic_radius": 189.0, "mean_Density": 4246.424, "total_measure": 282.069140460278, "share_within_group": 100.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5c05dc9102639c518684ffb1fd1a5f9cde1612f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/generated_sql.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_2278a79737dd1c63 +-- problem_id: v2p_n5_f86061c2245077ac +-- realization_mode: agent +-- source_kind: agent +SELECT + CAST(NULLIF("range_atomic_radius", '') AS REAL) AS "range_atomic_radius", + CAST(NULLIF("mean_Density", '') AS REAL) AS "mean_Density", + SUM(CAST(NULLIF("std_atomic_radius", '') AS REAL)) AS "total_measure", + SUM(CAST(NULLIF("std_atomic_radius", '') AS REAL)) * 100.0 / + SUM(SUM(CAST(NULLIF("std_atomic_radius", '') AS REAL))) OVER ( + PARTITION BY CAST(NULLIF("range_atomic_radius", '') AS REAL) + ) AS "share_within_group" +FROM "n5" +WHERE NULLIF("range_atomic_radius", '') IS NOT NULL + AND NULLIF("mean_Density", '') IS NOT NULL + AND NULLIF("std_atomic_radius", '') IS NOT NULL +GROUP BY + CAST(NULLIF("range_atomic_radius", '') AS REAL), + CAST(NULLIF("mean_Density", '') AS REAL) +ORDER BY "share_within_group" DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..efb5c9c174527593890d49189cda224755b98164 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/query_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 CAST(NULLIF(\"range_atomic_radius\", '') AS REAL) AS \"range_atomic_radius\",\n CAST(NULLIF(\"mean_Density\", '') AS REAL) AS \"mean_Density\",\n SUM(CAST(NULLIF(\"std_atomic_radius\", '') AS REAL)) AS \"total_measure\",\n SUM(CAST(NULLIF(\"std_atomic_radius\", '') AS REAL)) * 100.0 /\n SUM(SUM(CAST(NULLIF(\"std_atomic_radius\", '') AS REAL))) OVER (\n PARTITION BY CAST(NULLIF(\"range_atomic_radius\", '') AS REAL)\n ) AS \"share_within_group\"\nFROM \"n5\"\nWHERE NULLIF(\"range_atomic_radius\", '') IS NOT NULL\n AND NULLIF(\"mean_Density\", '') IS NOT NULL\n AND NULLIF(\"std_atomic_radius\", '') IS NOT NULL\nGROUP BY\n CAST(NULLIF(\"range_atomic_radius\", '') AS REAL),\n CAST(NULLIF(\"mean_Density\", '') AS REAL)\nORDER BY \"share_within_group\" DESC\nLIMIT 14;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n CAST(NULLIF(\\\"range_atomic_radius\\\", '') AS REAL) AS \\\"range_atomic_radius\\\",\\n CAST(NULLIF(\\\"mean_Density\\\", '') AS REAL) AS \\\"mean_Density\\\",\\n SUM(CAST(NULLIF(\\\"std_atomic_radius\\\", '') AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(NULLIF(\\\"std_atomic_radius\\\", '') AS REAL)) * 100.0 /\\n SUM(SUM(CAST(NULLIF(\\\"std_atomic_radius\\\", '') AS REAL))) OVER (\\n PARTITION BY CAST(NULLIF(\\\"range_atomic_radius\\\", '') AS REAL)\\n ) AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nWHERE NULLIF(\\\"range_atomic_radius\\\", '') IS NOT NULL\\n AND NULLIF(\\\"mean_Density\\\", '') IS NOT NULL\\n AND NULLIF(\\\"std_atomic_radius\\\", '') IS NOT NULL\\nGROUP BY\\n CAST(NULLIF(\\\"range_atomic_radius\\\", '') AS REAL),\\n CAST(NULLIF(\\\"mean_Density\\\", '') AS REAL)\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 14;\", \"columns\": [\"range_atomic_radius\", \"mean_Density\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"range_atomic_radius\": 99.0, \"mean_Density\": 5826.66666666667, \"total_measure\": 41.0717529317765, \"share_within_group\": 100.0}, {\"range_atomic_radius\": 127.0, \"mean_Density\": 1905.0, \"total_measure\": 698.5, \"share_within_group\": 100.0}, {\"range_atomic_radius\": 149.0, \"mean_Density\": 6944.33333333333, \"total_measure\": 60.884225287745, \"share_within_group\": 100.0}, {\"range_atomic_radius\": 163.0, \"mean_Density\": 3986.11625, \"total_measure\": 73.5544016357961, \"share_within_group\": 100.0}, {\"range_atomic_radius\": 189.0, \"mean_Density\": 4246.424, \"total_measure\": 282.069140460278, \"share_within_group\": 100.0}, {\"range_atomic_radius\": 197.0, \"mean_Density\": 4206.11625, \"total_measure\": 83.4356039110403, \"share_within_group\": 100.0}, {\"range_atomic_radius\": 200.0, \"mean_Density\": 1923.3633, \"total_measure\": 91.1604202613295, \"share_within_group\": 100.0}, {\"range_atomic_radius\": 245.0, \"mean_Density\": 1021.66818, \"total_measure\": 97.1172487254453, \"share_within_group\": 100.0}, {\"range_atomic_radius\": 78.0, \"mean_Density\": 2152.66666666667, \"total_measure\": 2712.480455638756, \"share_within_group\": 89.35722724259944}, {\"range_atomic_radius\": 212.0, \"mean_Density\": 952.26818, \"total_measure\": 430.85264302311055, \"share_within_group\": 81.65354620554983}, {\"range_atomic_radius\": 85.0, \"mean_Density\": 5451.5, \"total_measure\": 141.7991537351336, \"share_within_group\": 78.54522570279786}, {\"range_atomic_radius\": 71.0, \"mean_Density\": 6923.0, \"total_measure\": 106.5, \"share_within_group\": 75.0}, {\"range_atomic_radius\": 28.0, \"mean_Density\": 9440.5, \"total_measure\": 182.0, \"share_within_group\": 73.28676607505639}, {\"range_atomic_radius\": 223.0, \"mean_Density\": 4264.025, \"total_measure\": 258.7176066679653, \"share_within_group\": 73.04322095187987}], \"row_count_returned\": 14, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 43.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3bf84906ef131c48d15616412f1b9afdb67e6ba8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:40:09.978622+00:00", + "ended_at": "2026-05-19T15:40:50.774913+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_2278a79737dd1c63", + "problem_id": "v2p_n5_f86061c2245077ac", + "dataset_id": "n5", + "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=range_atomic_radius, measure_col=std_atomic_radius.", + "bindings": { + "group_col": "range_atomic_radius", + "measure_col": "std_atomic_radius", + "item_col": "mean_Density", + "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": 77.699421, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_2278a79737dd1c63.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_2278a79737dd1c63", + "api_calls": 0, + "input_tokens": 25693, + "cached_input_tokens": 24960, + "output_tokens": 2189, + "total_tokens": 27882, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 40738.39, + "sql_execution_elapsed_ms_total": 43.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4339c06f30a0b5c8c65113975dfc77616c495d56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:50.729455+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 40738.39, "started_at": "2026-05-19T15:40:09.990194+00:00", "ended_at": "2026-05-19T15:40:50.728605+00:00", "prompt_metrics": {"chars": 45251, "bytes_utf8": 45251, "lines": 1082, "estimated_tokens": null}, "response_metrics": {"chars": 1134, "bytes_utf8": 1134, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25693, "cached_input_tokens": 24960, "output_tokens": 2189, "reasoning_output_tokens": 1881}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n CAST(NULLIF(\\\"range_atomic_radius\\\", '') AS REAL) AS \\\"range_atomic_radius\\\",\\n CAST(NULLIF(\\\"mean_Density\\\", '') AS REAL) AS \\\"mean_Density\\\",\\n SUM(CAST(NULLIF(\\\"std_atomic_radius\\\", '') AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(NULLIF(\\\"std_atomic_radius\\\", '') AS REAL)) * 100.0 /\\n SUM(SUM(CAST(NULLIF(\\\"std_atomic_radius\\\", '') AS REAL))) OVER (\\n PARTITION BY CAST(NULLIF(\\\"range_atomic_radius\\\", '') AS REAL)\\n ) AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nWHERE NULLIF(\\\"range_atomic_radius\\\", '') IS NOT NULL\\n AND NULLIF(\\\"mean_Density\\\", '') IS NOT NULL\\n AND NULLIF(\\\"std_atomic_radius\\\", '') IS NOT NULL\\nGROUP BY\\n CAST(NULLIF(\\\"range_atomic_radius\\\", '') AS REAL),\\n CAST(NULLIF(\\\"mean_Density\\\", '') AS REAL)\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 14;\",\"notes\":\"Uses the requested within-group share template with group_col=range_atomic_radius, item_col=mean_Density, and measure_col=std_atomic_rad"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..04d90fd824940fbc774eb3abca309a4112e68154 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_2278a79737dd1c63", + "api_calls": 0, + "input_tokens": 25693, + "cached_input_tokens": 24960, + "output_tokens": 2189, + "total_tokens": 27882, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 40738.39, + "sql_execution_elapsed_ms_total": 43.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2278a79737dd1c63/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d7f4d0417c7b9adcd2e2a983c81dccdc7f370314 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/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=gmean_Valence, measure_col=gmean_atomic_mass. +Result preview: [{"gmean_Valence": 2.21336383940064, "total_measure": 118057.90816686008}, {"gmean_Valence": 2.1689435423954, "total_measure": 96996.50876929467}, {"gmean_Valence": 2.49146187923103, "total_measure": 64028.922013734016}, {"gmean_Valence": 2.35215804504935, "total_measure": 56715.08073892133}, {"gmean_Valence": 4.47213595499958, "total_measure": 46061.62633194248}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..291349909513022f354cb837e73c1986d0ec2fd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_23b4ae55df218189 +-- problem_id: v2p_n5_0fd46072be36dd5c +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("gmean_Valence" AS REAL) AS "gmean_Valence", SUM(CAST("gmean_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +WHERE "gmean_Valence" IS NOT NULL + AND TRIM("gmean_Valence") <> '' + AND "gmean_atomic_mass" IS NOT NULL + AND TRIM("gmean_atomic_mass") <> '' +GROUP BY CAST("gmean_Valence" AS REAL) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..561b5c3242828feb82fdaef9eb25269471d34b23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT CAST(\"gmean_Valence\" AS REAL) AS \"gmean_Valence\", SUM(CAST(\"gmean_atomic_mass\" AS REAL)) AS \"total_measure\"\nFROM \"n5\"\nWHERE \"gmean_Valence\" IS NOT NULL\n AND TRIM(\"gmean_Valence\") <> ''\n AND \"gmean_atomic_mass\" IS NOT NULL\n AND TRIM(\"gmean_atomic_mass\") <> ''\nGROUP BY CAST(\"gmean_Valence\" AS REAL)\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"gmean_Valence\\\" AS REAL) AS \\\"gmean_Valence\\\", SUM(CAST(\\\"gmean_atomic_mass\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"gmean_Valence\\\" IS NOT NULL\\n AND TRIM(\\\"gmean_Valence\\\") <> ''\\n AND \\\"gmean_atomic_mass\\\" IS NOT NULL\\n AND TRIM(\\\"gmean_atomic_mass\\\") <> ''\\nGROUP BY CAST(\\\"gmean_Valence\\\" AS REAL)\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"gmean_Valence\", \"total_measure\"], \"rows\": [{\"gmean_Valence\": 2.21336383940064, \"total_measure\": 118057.90816686008}, {\"gmean_Valence\": 2.1689435423954, \"total_measure\": 96996.50876929467}, {\"gmean_Valence\": 2.49146187923103, \"total_measure\": 64028.922013734016}, {\"gmean_Valence\": 2.35215804504935, \"total_measure\": 56715.08073892133}, {\"gmean_Valence\": 4.47213595499958, \"total_measure\": 46061.62633194248}, {\"gmean_Valence\": 6.0, \"total_measure\": 40302.70155875815}, {\"gmean_Valence\": 4.16016764610381, \"total_measure\": 38722.558219728526}, {\"gmean_Valence\": 5.47722557505166, \"total_measure\": 38230.32390537888}, {\"gmean_Valence\": 4.89897948556636, \"total_measure\": 37354.63679115451}, {\"gmean_Valence\": 2.0, \"total_measure\": 35651.267842218855}, {\"gmean_Valence\": 3.46410161513775, \"total_measure\": 34694.47155778887}, {\"gmean_Valence\": 2.28942848510666, \"total_measure\": 33913.561667924165}, {\"gmean_Valence\": 2.40187391035201, \"total_measure\": 31821.76291757946}, {\"gmean_Valence\": 3.91486764116886, \"total_measure\": 28194.418501051186}, {\"gmean_Valence\": 3.0, \"total_measure\": 26663.48038661347}, {\"gmean_Valence\": 3.87298334620742, \"total_measure\": 25512.393124374346}, {\"gmean_Valence\": 2.40224886796286, \"total_measure\": 23256.273578599306}, {\"gmean_Valence\": 4.24264068711928, \"total_measure\": 21989.605729087834}, {\"gmean_Valence\": 2.49288287167843, \"total_measure\": 21557.68087678134}, {\"gmean_Valence\": 2.88449914061482, \"total_measure\": 21057.785404384922}, {\"gmean_Valence\": 5.0, \"total_measure\": 20939.167812646654}, {\"gmean_Valence\": 2.60517108469735, \"total_measure\": 18949.574976925895}, {\"gmean_Valence\": 3.63424118566428, \"total_measure\": 18798.576946427936}, {\"gmean_Valence\": 2.70192007704123, \"total_measure\": 18152.995298911974}, {\"gmean_Valence\": 4.93242414866094, \"total_measure\": 17430.066630472174}, {\"gmean_Valence\": 2.61532097202366, \"total_measure\": 17425.856166420002}, {\"gmean_Valence\": 2.13982638786733, \"total_measure\": 17268.537571492674}, {\"gmean_Valence\": 6.48074069840786, \"total_measure\": 15845.593674679645}, {\"gmean_Valence\": 2.82842712474619, \"total_measure\": 15688.19703276057}, {\"gmean_Valence\": 4.11953428781424, \"total_measure\": 15488.193523931239}, {\"gmean_Valence\": 4.0, \"total_measure\": 15050.741430725371}, {\"gmean_Valence\": 4.7622031559046, \"total_measure\": 13886.44378465511}, {\"gmean_Valence\": 3.30192724889463, \"total_measure\": 13293.76936256775}, {\"gmean_Valence\": 3.30975091964687, \"total_measure\": 12270.17907277774}, {\"gmean_Valence\": 4.64158883361278, \"total_measure\": 11476.7960660997}, {\"gmean_Valence\": 4.30886938006377, \"total_measure\": 10549.745977056531}, {\"gmean_Valence\": 2.63214802590498, \"total_measure\": 10540.646878140067}, {\"gmean_Valence\": 2.66709661118172, \"total_measure\": 10288.032791574882}, {\"gmean_Valence\": 2.79816641433953, \"total_measure\": 9629.8023875921}, {\"gmean_Valence\": 2.34034731932072, \"total_measure\": 9519.43445720942}, {\"gmean_Valence\": 4.48140474655716, \"total_measure\": 9401.672289626109}, {\"gmean_Valence\": 2.44948974278318, \"total_measure\": 8763.131528962389}, {\"gmean_Valence\": 4.57885697021333, \"total_measure\": 8466.219893778143}, {\"gmean_Valence\": 4.55901411390956, \"total_measure\": 8222.63282708576}, {\"gmean_Valence\": 3.66284150148471, \"total_measure\": 8156.506286484563}, {\"gmean_Valence\": 2.78315768371374, \"total_measure\": 8032.491486832967}, {\"gmean_Valence\": 2.33986162551737, \"total_measure\": 7560.221582243321}, {\"gmean_Valence\": 2.45950948584936, \"total_measure\": 7541.053449747948}, {\"gmean_Valence\": 2.11474252688113, \"total_measure\": 7499.7088049234135}, {\"gmean_Valence\": 5.24148278841779, \"total_measure\": 7423.288809074468}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 53.28}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..443b4b59dd2963a0c6d9b134d520fe140c55d4ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:30:10.840865+00:00", + "ended_at": "2026-05-19T15:31:01.020605+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_23b4ae55df218189", + "problem_id": "v2p_n5_0fd46072be36dd5c", + "dataset_id": "n5", + "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=gmean_Valence, measure_col=gmean_atomic_mass.", + "bindings": { + "group_col": "gmean_Valence", + "measure_col": "gmean_atomic_mass", + "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": 66.522925, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_23b4ae55df218189.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_23b4ae55df218189", + "api_calls": 0, + "input_tokens": 25578, + "cached_input_tokens": 12032, + "output_tokens": 1536, + "total_tokens": 27114, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 50112.42, + "sql_execution_elapsed_ms_total": 53.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bca07a3dadb32bac2fe575bf909a353ebe3e82c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:00.965050+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 50112.42, "started_at": "2026-05-19T15:30:10.851009+00:00", "ended_at": "2026-05-19T15:31:00.963460+00:00", "prompt_metrics": {"chars": 44832, "bytes_utf8": 44832, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 661, "bytes_utf8": 661, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25578, "cached_input_tokens": 12032, "output_tokens": 1536, "reasoning_output_tokens": 1343}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"gmean_Valence\\\" AS REAL) AS \\\"gmean_Valence\\\", SUM(CAST(\\\"gmean_atomic_mass\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"gmean_Valence\\\" IS NOT NULL\\n AND TRIM(\\\"gmean_Valence\\\") <> ''\\n AND \\\"gmean_atomic_mass\\\" IS NOT NULL\\n AND TRIM(\\\"gmean_atomic_mass\\\") <> ''\\nGROUP BY CAST(\\\"gmean_Valence\\\" AS REAL)\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the planned grouped-sum template with \\\"gmean_Valence\\\" as the grouping column and \\\"gmean_atomic_mass\\\" as the summed measure, casting TEXT-stored numeric fields to REAL and excluding null/blank values for stable SQLite aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1be9a764de414f62b315a65fcd05bcfcbdfd9d1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_23b4ae55df218189", + "api_calls": 0, + "input_tokens": 25578, + "cached_input_tokens": 12032, + "output_tokens": 1536, + "total_tokens": 27114, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 50112.42, + "sql_execution_elapsed_ms_total": 53.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_23b4ae55df218189/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..24dd22a8e78f14b089f5a2b8db1fd71d943c5007 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/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=entropy_Valence, measure_col=wtd_gmean_atomic_mass. +Result preview: [{"entropy_Valence": 1.36892236074022, "total_measure": 75320.4753704917}, {"entropy_Valence": 0.693147180559945, "total_measure": 63426.143769685215}, {"entropy_Valence": 1.59416669911802, "total_measure": 61610.67008885683}, {"entropy_Valence": 0.686961576597323, "total_measure": 45390.82828796116}, {"entropy_Valence": 0.673011667009257, "total_measure": 43170.00535880461}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..fef64d45ed33d71afc07e070d0c4d395603ca239 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_265df1bd7b2981d2 +-- problem_id: v2p_n5_1825d2e8c50b14c3 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("entropy_Valence" AS REAL) AS "entropy_Valence", SUM(CAST("wtd_gmean_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +GROUP BY CAST("entropy_Valence" AS REAL) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c3cebacb2ec0d55d689acc65b8cc1e05a52a33f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum.\nSELECT CAST(\"entropy_Valence\" AS REAL) AS \"entropy_Valence\", SUM(CAST(\"wtd_gmean_atomic_mass\" AS REAL)) AS \"total_measure\"\nFROM \"n5\"\nGROUP BY CAST(\"entropy_Valence\" AS REAL)\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum.\\nSELECT CAST(\\\"entropy_Valence\\\" AS REAL) AS \\\"entropy_Valence\\\", SUM(CAST(\\\"wtd_gmean_atomic_mass\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n5\\\"\\nGROUP BY CAST(\\\"entropy_Valence\\\" AS REAL)\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"entropy_Valence\", \"total_measure\"], \"rows\": [{\"entropy_Valence\": 1.36892236074022, \"total_measure\": 75320.4753704917}, {\"entropy_Valence\": 0.693147180559945, \"total_measure\": 63426.143769685215}, {\"entropy_Valence\": 1.59416669911802, \"total_measure\": 61610.67008885683}, {\"entropy_Valence\": 0.686961576597323, \"total_measure\": 45390.82828796116}, {\"entropy_Valence\": 0.673011667009257, \"total_measure\": 43170.00535880461}, {\"entropy_Valence\": 0.689009238476659, \"total_measure\": 37639.3820277458}, {\"entropy_Valence\": 1.5649572502428, \"total_measure\": 34911.87285044263}, {\"entropy_Valence\": 1.58902691517397, \"total_measure\": 33822.8930015623}, {\"entropy_Valence\": 1.05790542470367, \"total_measure\": 31578.6236646054}, {\"entropy_Valence\": 0.636514168294813, \"total_measure\": 31214.84120085333}, {\"entropy_Valence\": 0.0, \"total_measure\": 28775.935897299998}, {\"entropy_Valence\": 0.661563238157982, \"total_measure\": 25318.46037457653}, {\"entropy_Valence\": 1.0775563270668, \"total_measure\": 25089.750946676922}, {\"entropy_Valence\": 0.682908104700472, \"total_measure\": 23232.6900344038}, {\"entropy_Valence\": 1.05492016798614, \"total_measure\": 18164.207179744244}, {\"entropy_Valence\": 1.74897075077131, \"total_measure\": 17926.63843155288}, {\"entropy_Valence\": 1.09861228866811, \"total_measure\": 16795.085036085457}, {\"entropy_Valence\": 1.08518861296765, \"total_measure\": 16029.290022003614}, {\"entropy_Valence\": 0.690185676018804, \"total_measure\": 15950.39313111961}, {\"entropy_Valence\": 1.77213938843753, \"total_measure\": 15944.396060364392}, {\"entropy_Valence\": 1.5193826646423, \"total_measure\": 15850.700203058814}, {\"entropy_Valence\": 1.71707598019888, \"total_measure\": 14988.937703748763}, {\"entropy_Valence\": 1.35458107521317, \"total_measure\": 13908.827711446265}, {\"entropy_Valence\": 1.70747543516624, \"total_measure\": 13355.889440652754}, {\"entropy_Valence\": 1.09005965871078, \"total_measure\": 12322.121153634136}, {\"entropy_Valence\": 1.77823330579971, \"total_measure\": 11332.081625767927}, {\"entropy_Valence\": 1.53177807879137, \"total_measure\": 10908.060233586684}, {\"entropy_Valence\": 1.33373602720281, \"total_measure\": 10747.538160499726}, {\"entropy_Valence\": 1.07899220787758, \"total_measure\": 10459.40441188597}, {\"entropy_Valence\": 1.09283055352849, \"total_measure\": 10429.158158412658}, {\"entropy_Valence\": 1.09337471755665, \"total_measure\": 10005.595716024176}, {\"entropy_Valence\": 1.2406842919534, \"total_measure\": 9568.502424494358}, {\"entropy_Valence\": 1.49440321137961, \"total_measure\": 9560.246594350856}, {\"entropy_Valence\": 1.08889997534522, \"total_measure\": 9113.779302518018}, {\"entropy_Valence\": 1.06094424079075, \"total_measure\": 8938.529955617216}, {\"entropy_Valence\": 1.38629436111989, \"total_measure\": 8864.129540163212}, {\"entropy_Valence\": 1.06708951878208, \"total_measure\": 8311.415954616059}, {\"entropy_Valence\": 1.06085694715802, \"total_measure\": 7826.466296543147}, {\"entropy_Valence\": 1.03972077083992, \"total_measure\": 7819.847507615735}, {\"entropy_Valence\": 1.08219553003877, \"total_measure\": 7729.083668435175}, {\"entropy_Valence\": 1.87406320769729, \"total_measure\": 7502.212023776699}, {\"entropy_Valence\": 1.55711309805765, \"total_measure\": 7178.954559821108}, {\"entropy_Valence\": 1.01140426470735, \"total_measure\": 6806.0989320701765}, {\"entropy_Valence\": 0.679193265991526, \"total_measure\": 6793.033334878123}, {\"entropy_Valence\": 1.49436508345339, \"total_measure\": 6472.9643514312575}, {\"entropy_Valence\": 1.34748487699694, \"total_measure\": 6313.329675343022}, {\"entropy_Valence\": 1.30509637194834, \"total_measure\": 6266.536445881005}, {\"entropy_Valence\": 1.3421131789144, \"total_measure\": 6167.705058456413}, {\"entropy_Valence\": 1.6094379124341, \"total_measure\": 6087.425182426576}, {\"entropy_Valence\": 1.72108914922872, \"total_measure\": 6044.427953793476}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 30.71}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0c612a2348708f61e8aeb413944eef3b8c13169b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:31:01.021206+00:00", + "ended_at": "2026-05-19T15:31:16.421821+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_265df1bd7b2981d2", + "problem_id": "v2p_n5_1825d2e8c50b14c3", + "dataset_id": "n5", + "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=entropy_Valence, measure_col=wtd_gmean_atomic_mass.", + "bindings": { + "group_col": "entropy_Valence", + "measure_col": "wtd_gmean_atomic_mass", + "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": 36.630217, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_265df1bd7b2981d2.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_265df1bd7b2981d2", + "api_calls": 0, + "input_tokens": 25581, + "cached_input_tokens": 12032, + "output_tokens": 550, + "total_tokens": 26131, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15354.45, + "sql_execution_elapsed_ms_total": 30.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..351020cdd2ab51464216b4947ec59f50a35e114a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:31:16.389159+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15354.45, "started_at": "2026-05-19T15:31:01.033729+00:00", "ended_at": "2026-05-19T15:31:16.388206+00:00", "prompt_metrics": {"chars": 44842, "bytes_utf8": 44842, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 407, "bytes_utf8": 407, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25581, "cached_input_tokens": 12032, "output_tokens": 550, "reasoning_output_tokens": 435}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum.\\nSELECT CAST(\\\"entropy_Valence\\\" AS REAL) AS \\\"entropy_Valence\\\", SUM(CAST(\\\"wtd_gmean_atomic_mass\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n5\\\"\\nGROUP BY CAST(\\\"entropy_Valence\\\" AS REAL)\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the provided grouped-sum template with bound roles. Cast both columns to REAL because the SQLite schema stores them as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6005c1d16d0766c5c1ab4626b9ca5638e402ac4e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_265df1bd7b2981d2", + "api_calls": 0, + "input_tokens": 25581, + "cached_input_tokens": 12032, + "output_tokens": 550, + "total_tokens": 26131, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15354.45, + "sql_execution_elapsed_ms_total": 30.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_265df1bd7b2981d2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..480976d6f11da55a9e9e0f01cb54e35dbd47e5cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/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=number_of_elements, measure_col=number_of_elements. +Result preview: [{"number_of_elements": "5", "total_measure": 28960}, {"number_of_elements": "4", "total_measure": 17984}, {"number_of_elements": "6", "total_measure": 15996}, {"number_of_elements": "3", "total_measure": 11685}, {"number_of_elements": "2", "total_measure": 6560}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..436c47aae79988053db988cb1d3b6e667f56bcf9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_275ae29d1a1dd8f0 +-- problem_id: v2p_n5_b4af29ea5225d8be +-- realization_mode: agent +-- source_kind: agent +SELECT "number_of_elements", SUM(CAST("number_of_elements" AS NUMERIC)) AS "total_measure" +FROM "n5" +GROUP BY "number_of_elements" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..519b27c55d120c12c59439f70d61ac3f67afd17f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/query_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 \"number_of_elements\", SUM(CAST(\"number_of_elements\" AS NUMERIC)) AS \"total_measure\"\nFROM \"n5\"\nGROUP BY \"number_of_elements\"\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"number_of_elements\\\", SUM(CAST(\\\"number_of_elements\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"n5\\\"\\nGROUP BY \\\"number_of_elements\\\"\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"number_of_elements\", \"total_measure\"], \"rows\": [{\"number_of_elements\": \"5\", \"total_measure\": 28960}, {\"number_of_elements\": \"4\", \"total_measure\": 17984}, {\"number_of_elements\": \"6\", \"total_measure\": 15996}, {\"number_of_elements\": \"3\", \"total_measure\": 11685}, {\"number_of_elements\": \"2\", \"total_measure\": 6560}, {\"number_of_elements\": \"7\", \"total_measure\": 5418}, {\"number_of_elements\": \"8\", \"total_measure\": 488}, {\"number_of_elements\": \"1\", \"total_measure\": 285}, {\"number_of_elements\": \"9\", \"total_measure\": 126}], \"row_count_returned\": 9, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 28.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9acf3d7e8d3c293a57d4cf6b4f470257c57d3787 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:28:29.605853+00:00", + "ended_at": "2026-05-19T15:28:40.304337+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_275ae29d1a1dd8f0", + "problem_id": "v2p_n5_b4af29ea5225d8be", + "dataset_id": "n5", + "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=number_of_elements, measure_col=number_of_elements.", + "bindings": { + "group_col": "number_of_elements", + "measure_col": "number_of_elements", + "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": 4.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_275ae29d1a1dd8f0.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_275ae29d1a1dd8f0", + "api_calls": 0, + "input_tokens": 25573, + "cached_input_tokens": 12032, + "output_tokens": 397, + "total_tokens": 25970, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10651.56, + "sql_execution_elapsed_ms_total": 28.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2ce1f80c099c816034009d7b1ac1108992eb2a7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:40.272429+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10651.56, "started_at": "2026-05-19T15:28:29.619311+00:00", "ended_at": "2026-05-19T15:28:40.270904+00:00", "prompt_metrics": {"chars": 44838, "bytes_utf8": 44838, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 400, "bytes_utf8": 400, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25573, "cached_input_tokens": 12032, "output_tokens": 397, "reasoning_output_tokens": 294}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"number_of_elements\\\", SUM(CAST(\\\"number_of_elements\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"n5\\\"\\nGROUP BY \\\"number_of_elements\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the grouped numeric sum template with both bound roles set to \\\"number_of_elements\\\". Applied CAST to NUMERIC because the SQLite schema stores this column as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1c9414dc056de7987ad57b5ef3067a6ebcc4db70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_275ae29d1a1dd8f0", + "api_calls": 0, + "input_tokens": 25573, + "cached_input_tokens": 12032, + "output_tokens": 397, + "total_tokens": 25970, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10651.56, + "sql_execution_elapsed_ms_total": 28.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_275ae29d1a1dd8f0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_29697b69c24a79aa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_29697b69c24a79aa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fa24a4f44380a94bb9bdbc527463eaaf8fa6f737 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_29697b69c24a79aa/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:07:50.260490+00:00", + "ended_at": "2026-05-19T16:07:57.612108+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_29697b69c24a79aa", + "problem_id": "v2p_n5_d9b6f957db610df8", + "dataset_id": "n5", + "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=range_Valence, condition_col=wtd_entropy_Valence.", + "bindings": { + "group_col": "range_Valence", + "condition_col": "wtd_entropy_Valence", + "condition_value": "1.24943039324213", + "positive_value": "1.24943039324213", + "negative_value": "1.09604328066818", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1.536066, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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", + "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_c/n5/artifacts/v2q_n5_29697b69c24a79aa/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_29697b69c24a79aa/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cc316e69b6ef3b9c5ab38460737152546dec4155 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_29697b69c24a79aa/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:07:53.307563+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": 3035.05, "started_at": "2026-05-19T16:07:50.271630+00:00", "ended_at": "2026-05-19T16:07:53.306711+00:00", "prompt_metrics": {"chars": 45128, "bytes_utf8": 45128, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-5620-7e70-be31-c09bc203498e\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:07:57.612014+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": 3302.16, "started_at": "2026-05-19T16:07:54.308945+00:00", "ended_at": "2026-05-19T16:07:57.611135+00:00", "prompt_metrics": {"chars": 45128, "bytes_utf8": 45128, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-65c0-7253-bcc2-3b176290d954\"}\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_c/n5/artifacts/v2q_n5_2e9692bb80d51dbb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2e9692bb80d51dbb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9408b53156703af66c09d108286f9d5a7c1b91a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2e9692bb80d51dbb/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:09:58.742878+00:00", + "ended_at": "2026-05-19T16:10:06.879536+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_2e9692bb80d51dbb", + "problem_id": "v2p_n5_d6c8fffcfab495e6", + "dataset_id": "n5", + "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=range_Valence, condition_col=range_Valence.", + "bindings": { + "group_col": "range_Valence", + "condition_col": "range_Valence", + "condition_value": "1", + "positive_value": "2", + "negative_value": "1", + "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": 112.133333, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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", + "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_c/n5/artifacts/v2q_n5_2e9692bb80d51dbb/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2e9692bb80d51dbb/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ec225eadc432735484934f6c75fe301422b67d39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2e9692bb80d51dbb/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:10:01.998132+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": 3241.37, "started_at": "2026-05-19T16:09:58.755468+00:00", "ended_at": "2026-05-19T16:10:01.996863+00:00", "prompt_metrics": {"chars": 45066, "bytes_utf8": 45066, "lines": 1083, "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\":\"019e4100-4bfe-7480-81c5-5e68ab84e3ec\"}\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": "2026-05-19T16:10:06.879448+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": 3877.51, "started_at": "2026-05-19T16:10:03.000987+00:00", "ended_at": "2026-05-19T16:10:06.878557+00:00", "prompt_metrics": {"chars": 45066, "bytes_utf8": 45066, "lines": 1083, "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\":\"019e4100-5c75-77e2-84f1-b428265afd62\"}\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_c/n5/artifacts/v2q_n5_2f108201a542958d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f108201a542958d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4aa77a6fb5910963def71b1bc7e2a46ac843b3b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f108201a542958d/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:15:28.910329+00:00", + "ended_at": "2026-05-19T16:15:36.600447+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_2f108201a542958d", + "problem_id": "v2p_n5_fb8fe6bb2a9aa201", + "dataset_id": "n5", + "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=number_of_elements, measure_col=std_FusionHeat.", + "bindings": { + "group_col": "number_of_elements", + "measure_col": "std_FusionHeat", + "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": 4.819801, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=140" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f108201a542958d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f108201a542958d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..205a470b2cfb69d7332848dc4962ecaa53be22af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f108201a542958d/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:15:32.213070+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": 3279.51, "started_at": "2026-05-19T16:15:28.932642+00:00", "ended_at": "2026-05-19T16:15:32.212191+00:00", "prompt_metrics": {"chars": 44918, "bytes_utf8": 44918, "lines": 1080, "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\":\"019e4105-55ba-70e3-90f0-d38813e9cf71\"}\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": "2026-05-19T16:15:36.600249+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": 3382.77, "started_at": "2026-05-19T16:15:33.215719+00:00", "ended_at": "2026-05-19T16:15:36.598538+00:00", "prompt_metrics": {"chars": 44918, "bytes_utf8": 44918, "lines": 1080, "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\":\"019e4105-665b-7060-a4e6-e779c57854a0\"}\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_c/n5/artifacts/v2q_n5_2f1d4a688475e4af/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f1d4a688475e4af/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1c103c5d0b6e99ff353645a4f266b5b436b50975 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f1d4a688475e4af/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:08:50.221271+00:00", + "ended_at": "2026-05-19T16:08:58.702794+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_2f1d4a688475e4af", + "problem_id": "v2p_n5_7e2600f5732ac74e", + "dataset_id": "n5", + "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=mean_Valence, condition_col=wtd_entropy_Valence.", + "bindings": { + "group_col": "mean_Valence", + "condition_col": "wtd_entropy_Valence", + "condition_value": "1.24943039324213", + "positive_value": "1.24943039324213", + "negative_value": "1.09604328066818", + "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": 318.080708, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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", + "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_c/n5/artifacts/v2q_n5_2f1d4a688475e4af/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f1d4a688475e4af/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0efbc413ca7b7297a43ec884b9cfb5bbd19ee653 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f1d4a688475e4af/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:54.443099+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": 4208.96, "started_at": "2026-05-19T16:08:50.233252+00:00", "ended_at": "2026-05-19T16:08:54.442240+00:00", "prompt_metrics": {"chars": 45128, "bytes_utf8": 45128, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-402d-7a53-9c17-d185ed1b7b87\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:58.702688+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": 3256.47, "started_at": "2026-05-19T16:08:55.444962+00:00", "ended_at": "2026-05-19T16:08:58.701464+00:00", "prompt_metrics": {"chars": 45128, "bytes_utf8": 45128, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-5494-7b50-90f8-9078c744399b\"}\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_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..09b622209739956361a995be694d855e05ab1647 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/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=mean_Valence, measure_col=entropy_atomic_mass. +Result preview: [{"mean_Valence": 2.375, "percentile_measure": 1.9297564789667}, {"mean_Valence": 2.875, "percentile_measure": 1.87875677223739}, {"mean_Valence": 2.28571428571429, "percentile_measure": 1.83434261536486}, {"mean_Valence": 3.57142857142857, "percentile_measure": 1.82311218588249}, {"mean_Valence": 3.42857142857143, "percentile_measure": 1.822671268052711}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..82380c0459709f7607cc02ca2b39ca0c575eea0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/generated_sql.sql @@ -0,0 +1,65 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_2f3f63646c8e391f +-- problem_id: v2p_n5_dce19e4e386d2d3b +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + CAST(NULLIF(TRIM("mean_Valence"), '') AS REAL) AS "mean_Valence", + CAST(NULLIF(TRIM("entropy_atomic_mass"), '') AS REAL) AS "entropy_atomic_mass", + ROW_NUMBER() OVER ( + PARTITION BY CAST(NULLIF(TRIM("mean_Valence"), '') AS REAL) + ORDER BY CAST(NULLIF(TRIM("entropy_atomic_mass"), '') AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY CAST(NULLIF(TRIM("mean_Valence"), '') AS REAL) + ) AS "cnt" + FROM "n5" + WHERE NULLIF(TRIM("mean_Valence"), '') IS NOT NULL + AND NULLIF(TRIM("entropy_atomic_mass"), '') IS NOT NULL +), +"positioned" AS ( + SELECT + "mean_Valence", + "entropy_atomic_mass", + "rn", + "cnt", + (0.9 * ("cnt" - 1) + 1.0) AS "pos", + CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER) AS "lower_rn", + CASE + WHEN (0.9 * ("cnt" - 1) + 1.0) = CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER) + THEN CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER) + ELSE CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ranked" +), +"grouped" AS ( + SELECT + "mean_Valence", + MAX("cnt") AS "cnt", + MAX("pos") AS "pos", + MAX("lower_rn") AS "lower_rn", + MAX("upper_rn") AS "upper_rn", + MAX(CASE WHEN "rn" = "lower_rn" THEN "entropy_atomic_mass" END) AS "lower_val", + MAX(CASE WHEN "rn" = "upper_rn" THEN "entropy_atomic_mass" END) AS "upper_val" + FROM "positioned" + GROUP BY "mean_Valence" +) +SELECT + "mean_Valence", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val") + END AS "percentile_measure" +FROM "grouped" +WHERE "cnt" >= 5 +ORDER BY "percentile_measure" DESC +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..44ce447d4d88ecf6d1a11966837c642fffdb8607 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 2, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n CAST(NULLIF(TRIM(\"mean_Valence\"), '') AS REAL) AS \"mean_Valence\",\n CAST(NULLIF(TRIM(\"entropy_atomic_mass\"), '') AS REAL) AS \"entropy_atomic_mass\",\n ROW_NUMBER() OVER (\n PARTITION BY CAST(NULLIF(TRIM(\"mean_Valence\"), '') AS REAL)\n ORDER BY CAST(NULLIF(TRIM(\"entropy_atomic_mass\"), '') AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY CAST(NULLIF(TRIM(\"mean_Valence\"), '') AS REAL)\n ) AS \"cnt\"\n FROM \"n5\"\n WHERE NULLIF(TRIM(\"mean_Valence\"), '') IS NOT NULL\n AND NULLIF(TRIM(\"entropy_atomic_mass\"), '') IS NOT NULL\n),\n\"positioned\" AS (\n SELECT\n \"mean_Valence\",\n \"entropy_atomic_mass\",\n \"rn\",\n \"cnt\",\n (0.9 * (\"cnt\" - 1) + 1.0) AS \"pos\",\n CAST((0.9 * (\"cnt\" - 1) + 1.0) AS INTEGER) AS \"lower_rn\",\n 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 \"upper_rn\"\n FROM \"ranked\"\n),\n\"grouped\" AS (\n SELECT\n \"mean_Valence\",\n MAX(\"cnt\") AS \"cnt\",\n MAX(\"pos\") AS \"pos\",\n MAX(\"lower_rn\") AS \"lower_rn\",\n MAX(\"upper_rn\") AS \"upper_rn\",\n MAX(CASE WHEN \"rn\" = \"lower_rn\" THEN \"entropy_atomic_mass\" END) AS \"lower_val\",\n MAX(CASE WHEN \"rn\" = \"upper_rn\" THEN \"entropy_atomic_mass\" END) AS \"upper_val\"\n FROM \"positioned\"\n GROUP BY \"mean_Valence\"\n)\nSELECT\n \"mean_Valence\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"grouped\"\nWHERE \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n CAST(NULLIF(TRIM(\\\"mean_Valence\\\"), '') AS REAL) AS \\\"mean_Valence\\\",\\n CAST(NULLIF(TRIM(\\\"entropy_atomic_mass\\\"), '') AS REAL) AS \\\"entropy_atomic_mass\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY CAST(NULLIF(TRIM(\\\"mean_Valence\\\"), '') AS REAL)\\n ORDER BY CAST(NULLIF(TRIM(\\\"entropy_atomic_mass\\\"), '') AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY CAST(NULLIF(TRIM(\\\"mean_Valence\\\"), '') AS REAL)\\n ) AS \\\"cnt\\\"\\n FROM \\\"n5\\\"\\n WHERE NULLIF(TRIM(\\\"mean_Valence\\\"), '') IS NOT NULL\\n AND NULLIF(TRIM(\\\"entropy_atomic_mass\\\"), '') IS NOT NULL\\n),\\n\\\"positioned\\\" AS (\\n SELECT\\n \\\"mean_Valence\\\",\\n \\\"entropy_atomic_mass\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n (0.9 * (\\\"cnt\\\" - 1) + 1.0) AS \\\"pos\\\",\\n CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) AS \\\"lower_rn\\\",\\n 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 \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"grouped\\\" AS (\\n SELECT\\n \\\"mean_Valence\\\",\\n MAX(\\\"cnt\\\") AS \\\"cnt\\\",\\n MAX(\\\"pos\\\") AS \\\"pos\\\",\\n MAX(\\\"lower_rn\\\") AS \\\"lower_rn\\\",\\n MAX(\\\"upper_rn\\\") AS \\\"upper_rn\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lower_rn\\\" THEN \\\"entropy_atomic_mass\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"upper_rn\\\" THEN \\\"entropy_atomic_mass\\\" END) AS \\\"upper_val\\\"\\n FROM \\\"positioned\\\"\\n GROUP BY \\\"mean_Valence\\\"\\n)\\nSELECT\\n \\\"mean_Valence\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"grouped\\\"\\nWHERE \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 16;\", \"columns\": [\"mean_Valence\", \"percentile_measure\"], \"rows\": [{\"mean_Valence\": 2.375, \"percentile_measure\": 1.9297564789667}, {\"mean_Valence\": 2.875, \"percentile_measure\": 1.87875677223739}, {\"mean_Valence\": 2.28571428571429, \"percentile_measure\": 1.83434261536486}, {\"mean_Valence\": 3.57142857142857, \"percentile_measure\": 1.82311218588249}, {\"mean_Valence\": 3.42857142857143, \"percentile_measure\": 1.822671268052711}, {\"mean_Valence\": 3.28571428571429, \"percentile_measure\": 1.82070741011146}, {\"mean_Valence\": 3.14285714285714, \"percentile_measure\": 1.81740885075072}, {\"mean_Valence\": 2.71428571428571, \"percentile_measure\": 1.78914128188703}, {\"mean_Valence\": 2.42857142857143, \"percentile_measure\": 1.78167147184553}, {\"mean_Valence\": 2.14285714285714, \"percentile_measure\": 1.74230000744905}, {\"mean_Valence\": 2.57142857142857, \"percentile_measure\": 1.72481817380338}, {\"mean_Valence\": 2.85714285714286, \"percentile_measure\": 1.719254056948}, {\"mean_Valence\": 2.55555555555556, \"percentile_measure\": 1.70072699083077}, {\"mean_Valence\": 3.16666666666667, \"percentile_measure\": 1.66851138263508}, {\"mean_Valence\": 2.33333333333333, \"percentile_measure\": 1.635527730080981}, {\"mean_Valence\": 2.5, \"percentile_measure\": 1.63274644787956}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 108.76}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..cea588878ea1c81fdede9b83c2862650862db492 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:59:20.153441+00:00", + "ended_at": "2026-05-19T16:00:10.632465+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_2f3f63646c8e391f", + "problem_id": "v2p_n5_dce19e4e386d2d3b", + "dataset_id": "n5", + "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=mean_Valence, measure_col=entropy_atomic_mass.", + "bindings": { + "group_col": "mean_Valence", + "measure_col": "entropy_atomic_mass", + "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": 1.345058, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=86" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_2f3f63646c8e391f.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_2f3f63646c8e391f", + "api_calls": 0, + "input_tokens": 25614, + "cached_input_tokens": 24960, + "output_tokens": 3321, + "total_tokens": 28935, + "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": 49352.97, + "sql_execution_elapsed_ms_total": 108.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7fad0d03243a1eeb76f1cf2e42f8afe7d79fd7e6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:59:24.056305+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": 3890.43, "started_at": "2026-05-19T15:59:20.164164+00:00", "ended_at": "2026-05-19T15:59:24.054622+00:00", "prompt_metrics": {"chars": 45010, "bytes_utf8": 45010, "lines": 1080, "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\":\"019e40f6-8d6c-7d90-8e16-f1b7d916f3e9\"}\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": "2026-05-19T16:00:10.521885+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": 45462.54, "started_at": "2026-05-19T15:59:25.057942+00:00", "ended_at": "2026-05-19T16:00:10.520510+00:00", "prompt_metrics": {"chars": 45010, "bytes_utf8": 45010, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 2214, "bytes_utf8": 2214, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25614, "cached_input_tokens": 24960, "output_tokens": 3321, "reasoning_output_tokens": 2588}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n CAST(NULLIF(TRIM(\\\"mean_Valence\\\"), '') AS REAL) AS \\\"mean_Valence\\\",\\n CAST(NULLIF(TRIM(\\\"entropy_atomic_mass\\\"), '') AS REAL) AS \\\"entropy_atomic_mass\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY CAST(NULLIF(TRIM(\\\"mean_Valence\\\"), '') AS REAL)\\n ORDER BY CAST(NULLIF(TRIM(\\\"entropy_atomic_mass\\\"), '') AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY CAST(NULLIF(TRIM(\\\"mean_Valence\\\"), '') AS REAL)\\n ) AS \\\"cnt\\\"\\n FROM \\\"n5\\\"\\n WHERE NULLIF(TRIM(\\\"mean_Valence\\\"), '') IS NOT NULL\\n AND NULLIF(TRIM(\\\"entropy_atomic_mass\\\"), '') IS NOT NULL\\n),\\n\\\"positioned\\\" AS (\\n SELECT\\n \\\"mean_Valence\\\",\\n \\\"entropy_atomic_mass\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n (0.9 * (\\\"cnt\\\" - 1) + 1.0) AS \\\"pos\\\",\\n CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (0.9 * (\\\"cnt\\\" - 1) + 1.0) = CAST((0.9 * (\\\"cnt\\\" - 1) + 1.0) AS INTEGER)\\n"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d5ad53eeb3152accff4713abec4cfc37d4c270ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_2f3f63646c8e391f", + "api_calls": 0, + "input_tokens": 25614, + "cached_input_tokens": 24960, + "output_tokens": 3321, + "total_tokens": 28935, + "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": 49352.97, + "sql_execution_elapsed_ms_total": 108.76, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f3f63646c8e391f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7b4e37a7fd389912d73252a3204b1c0bb9a2d54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/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=gmean_Valence, measure_col=mean_Density. +Result preview: [{"gmean_Valence": "1.78179743628068", "gmean_Density": "341.957273364519", "total_measure": 64299.95833333337, "share_within_group": 100.00000000000001}, {"gmean_Valence": "2.39196049125096", "gmean_Density": "1759.07684598627", "total_measure": 21945.183857142867, "share_within_group": 100.00000000000001}, {"gmean_Valence": "2.79842828161591", "gmean_Density": "2434.12339104411", "total_measure": 26029.46957142858, "share_within_group": 100.00000000000001}, {"gmean_Valence": "1.25992104989487", "gmean_Density": "29.4043232416371", "total_measure": 3497.70833333333, "share_within_group": 100.0}, {"gmean_Valence": "1.77827941003892", "gmean_Density": "27.7033080425819", "total_measure": 4553.25945, "share_within_group": 100.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..287a5d8d86d178aae2a8235801d62a39562e2e99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/generated_sql.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_2f98d29b5df642e4 +-- problem_id: v2p_n5_b5dbbfae6fe1ec49 +-- realization_mode: agent +-- source_kind: agent +SELECT + "gmean_Valence", + "gmean_Density", + SUM(CAST("mean_Density" AS REAL)) AS "total_measure", + SUM(CAST("mean_Density" AS REAL)) * 100.0 / SUM(SUM(CAST("mean_Density" AS REAL))) OVER (PARTITION BY "gmean_Valence") AS "share_within_group" +FROM "n5" +WHERE "gmean_Valence" IS NOT NULL + AND "gmean_Valence" <> '' + AND "gmean_Density" IS NOT NULL + AND "gmean_Density" <> '' + AND "mean_Density" IS NOT NULL + AND "mean_Density" <> '' +GROUP BY "gmean_Valence", "gmean_Density" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..05c669aa3da02261bf472acbd9a3f9377d69df15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/query_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 \"gmean_Valence\",\n \"gmean_Density\",\n SUM(CAST(\"mean_Density\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"mean_Density\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"mean_Density\" AS REAL))) OVER (PARTITION BY \"gmean_Valence\") AS \"share_within_group\"\nFROM \"n5\"\nWHERE \"gmean_Valence\" IS NOT NULL\n AND \"gmean_Valence\" <> ''\n AND \"gmean_Density\" IS NOT NULL\n AND \"gmean_Density\" <> ''\n AND \"mean_Density\" IS NOT NULL\n AND \"mean_Density\" <> ''\nGROUP BY \"gmean_Valence\", \"gmean_Density\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"gmean_Valence\\\",\\n \\\"gmean_Density\\\",\\n SUM(CAST(\\\"mean_Density\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"mean_Density\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"mean_Density\\\" AS REAL))) OVER (PARTITION BY \\\"gmean_Valence\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"gmean_Valence\\\" IS NOT NULL\\n AND \\\"gmean_Valence\\\" <> ''\\n AND \\\"gmean_Density\\\" IS NOT NULL\\n AND \\\"gmean_Density\\\" <> ''\\n AND \\\"mean_Density\\\" IS NOT NULL\\n AND \\\"mean_Density\\\" <> ''\\nGROUP BY \\\"gmean_Valence\\\", \\\"gmean_Density\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"gmean_Valence\", \"gmean_Density\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"gmean_Valence\": \"1.78179743628068\", \"gmean_Density\": \"341.957273364519\", \"total_measure\": 64299.95833333337, \"share_within_group\": 100.00000000000001}, {\"gmean_Valence\": \"2.39196049125096\", \"gmean_Density\": \"1759.07684598627\", \"total_measure\": 21945.183857142867, \"share_within_group\": 100.00000000000001}, {\"gmean_Valence\": \"2.79842828161591\", \"gmean_Density\": \"2434.12339104411\", \"total_measure\": 26029.46957142858, \"share_within_group\": 100.00000000000001}, {\"gmean_Valence\": \"1.25992104989487\", \"gmean_Density\": \"29.4043232416371\", \"total_measure\": 3497.70833333333, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"1.77827941003892\", \"gmean_Density\": \"27.7033080425819\", \"total_measure\": 4553.25945, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"1.96798967126543\", \"gmean_Density\": \"2472.39541133826\", \"total_measure\": 3856.25, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"1.97435048583482\", \"gmean_Density\": \"101.280996634471\", \"total_measure\": 3030.55718, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.03393700979443\", \"gmean_Density\": \"525.207884791207\", \"total_measure\": 14463.05357142858, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.04767251107922\", \"gmean_Density\": \"76.4292517571608\", \"total_measure\": 7937.71134, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.05657118859578\", \"gmean_Density\": \"550.249809515265\", \"total_measure\": 8779.78125, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.11693286302546\", \"gmean_Density\": \"294.334676407207\", \"total_measure\": 6906.04166666666, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.22090615485233\", \"gmean_Density\": \"388.396708626542\", \"total_measure\": 18346.08333333332, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.29440538087975\", \"gmean_Density\": \"1730.34706168621\", \"total_measure\": 10278.35725, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.31638768648693\", \"gmean_Density\": \"213.620710255801\", \"total_measure\": 35914.1887777778, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.37956557896877\", \"gmean_Density\": \"1473.41170738359\", \"total_measure\": 32513.428999999993, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.41014226417523\", \"gmean_Density\": \"295.152342955287\", \"total_measure\": 7292.47633333333, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.41827117512196\", \"gmean_Density\": \"240.320762567443\", \"total_measure\": 17036.41683333331, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.43802730840895\", \"gmean_Density\": \"1155.43222088578\", \"total_measure\": 3650.20414285714, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.53460271740491\", \"gmean_Density\": \"1821.01122727135\", \"total_measure\": 14904.97971428572, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.53479381369666\", \"gmean_Density\": \"2406.4932173732\", \"total_measure\": 25717.96844444444, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.58734023677245\", \"gmean_Density\": \"173.394897900989\", \"total_measure\": 4379.41981666667, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.59852644521882\", \"gmean_Density\": \"580.466205863662\", \"total_measure\": 5208.37757142857, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.61099908058295\", \"gmean_Density\": \"2050.83494421215\", \"total_measure\": 6151.928625, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.63667466513654\", \"gmean_Density\": \"1303.5480129227\", \"total_measure\": 6438.90483333333, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.7123532530899\", \"gmean_Density\": \"581.336974589311\", \"total_measure\": 58856.803571428594, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.72648162212814\", \"gmean_Density\": \"1655.83513812163\", \"total_measure\": 11827.26542857142, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.87098773937074\", \"gmean_Density\": \"1166.6723756388\", \"total_measure\": 102158.573, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.95156811701606\", \"gmean_Density\": \"1728.10135398547\", \"total_measure\": 21615.7145, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.95417693906278\", \"gmean_Density\": \"3342.63888098983\", \"total_measure\": 4327.2, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"3.0314331330208\", \"gmean_Density\": \"1383.09465849817\", \"total_measure\": 12476.1716, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"3.06388706280041\", \"gmean_Density\": \"1121.11415163885\", \"total_measure\": 29064.514799999997, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"3.07170766197454\", \"gmean_Density\": \"1467.77355178472\", \"total_measure\": 5409.5715, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"3.20086866888094\", \"gmean_Density\": \"1515.40447321484\", \"total_measure\": 8218.6858, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"3.20310094752884\", \"gmean_Density\": \"333.503513928342\", \"total_measure\": 30277.5, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"3.22257477860518\", \"gmean_Density\": \"1242.35307224094\", \"total_measure\": 4761.90483333333, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"3.47602664488645\", \"gmean_Density\": \"5827.90214683768\", \"total_measure\": 6124.0, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"3.55655882007785\", \"gmean_Density\": \"9151.05885328744\", \"total_measure\": 18540.0, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"3.65018605135923\", \"gmean_Density\": \"5522.76143227719\", \"total_measure\": 47191.2, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"3.65905165331721\", \"gmean_Density\": \"1381.17888221648\", \"total_measure\": 30965.428999999982, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"3.74165738677394\", \"gmean_Density\": \"6232.57250258671\", \"total_measure\": 114340.0, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"3.86636408986353\", \"gmean_Density\": \"5463.1898848677\", \"total_measure\": 7791.2, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"3.95852373231868\", \"gmean_Density\": \"6208.37493451439\", \"total_measure\": 44927.0, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"4.19296271262948\", \"gmean_Density\": \"6240.81626947636\", \"total_measure\": 7345.0, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"4.22948505376226\", \"gmean_Density\": \"7841.82109343935\", \"total_measure\": 16271.5, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"4.28225473667665\", \"gmean_Density\": \"6868.14169218274\", \"total_measure\": 20844.0, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"4.71769398031653\", \"gmean_Density\": \"9118.85038602505\", \"total_measure\": 11011.3333333333, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"4.81644937056138\", \"gmean_Density\": \"5177.94263216225\", \"total_measure\": 5922.6, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"4.94923200383977\", \"gmean_Density\": \"7504.4012379051\", \"total_measure\": 9630.0, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"5.00997013923459\", \"gmean_Density\": \"5579.39232302475\", \"total_measure\": 8895.75, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"5.04537849152229\", \"gmean_Density\": \"4641.39200094552\", \"total_measure\": 47009.25, \"share_within_group\": 100.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 36.42}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..c1c8347b8e12a656bd9bfd15d8bebe72e332f5f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:41:58.136284+00:00", + "ended_at": "2026-05-19T15:42:17.807422+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_2f98d29b5df642e4", + "problem_id": "v2p_n5_b5dbbfae6fe1ec49", + "dataset_id": "n5", + "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=gmean_Valence, measure_col=mean_Density.", + "bindings": { + "group_col": "gmean_Valence", + "measure_col": "mean_Density", + "item_col": "gmean_Density", + "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": 5136.2858, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_2f98d29b5df642e4.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_2f98d29b5df642e4", + "api_calls": 0, + "input_tokens": 25698, + "cached_input_tokens": 24960, + "output_tokens": 1174, + "total_tokens": 26872, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19621.29, + "sql_execution_elapsed_ms_total": 36.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0defed1ee61ec3ad57b94f70c607bf3e2c80969c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:17.768820+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 19621.29, "started_at": "2026-05-19T15:41:58.146342+00:00", "ended_at": "2026-05-19T15:42:17.767661+00:00", "prompt_metrics": {"chars": 45230, "bytes_utf8": 45230, "lines": 1082, "estimated_tokens": null}, "response_metrics": {"chars": 846, "bytes_utf8": 846, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25698, "cached_input_tokens": 24960, "output_tokens": 1174, "reasoning_output_tokens": 907}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"gmean_Valence\\\",\\n \\\"gmean_Density\\\",\\n SUM(CAST(\\\"mean_Density\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"mean_Density\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"mean_Density\\\" AS REAL))) OVER (PARTITION BY \\\"gmean_Valence\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"gmean_Valence\\\" IS NOT NULL\\n AND \\\"gmean_Valence\\\" <> ''\\n AND \\\"gmean_Density\\\" IS NOT NULL\\n AND \\\"gmean_Density\\\" <> ''\\n AND \\\"mean_Density\\\" IS NOT NULL\\n AND \\\"mean_Density\\\" <> ''\\nGROUP BY \\\"gmean_Valence\\\", \\\"gmean_Density\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"gmean_Valence\\\", item_col=\\\"gmean_Density\\\", and measure_col=\\\"mean_Density\\\". CAST to REAL is used because the schema stores these fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bc0e568925ec81a8a5d0a8b61e77161226ebdb74 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_2f98d29b5df642e4", + "api_calls": 0, + "input_tokens": 25698, + "cached_input_tokens": 24960, + "output_tokens": 1174, + "total_tokens": 26872, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19621.29, + "sql_execution_elapsed_ms_total": 36.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_2f98d29b5df642e4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..63d394e5eadc1fa590bc625059082b5099659a6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/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=range_atomic_radius, measure_col=mean_atomic_mass. +Result preview: [{"range_atomic_radius": 205.0, "total_measure": 528388.6705855544}, {"range_atomic_radius": 171.0, "total_measure": 261337.00083991827}, {"range_atomic_radius": 139.0, "total_measure": 37773.27226422666}, {"range_atomic_radius": 199.0, "total_measure": 32164.713454738096}, {"range_atomic_radius": 0.0, "total_measure": 31344.2415698}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..40de5b6c7f292829937482c877668b734e85bef3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_30d6f37d22552b1a +-- problem_id: v2p_n5_e90eea5a2f77ab1e +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("range_atomic_radius" AS REAL) AS "range_atomic_radius", SUM(CAST("mean_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +WHERE "range_atomic_radius" IS NOT NULL + AND "mean_atomic_mass" IS NOT NULL +GROUP BY CAST("range_atomic_radius" AS REAL) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..03b556afd5fcefdbe1fda1378d8b3d6dc896360a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT CAST(\"range_atomic_radius\" AS REAL) AS \"range_atomic_radius\", SUM(CAST(\"mean_atomic_mass\" AS REAL)) AS \"total_measure\"\nFROM \"n5\"\nWHERE \"range_atomic_radius\" IS NOT NULL\n AND \"mean_atomic_mass\" IS NOT NULL\nGROUP BY CAST(\"range_atomic_radius\" AS REAL)\nORDER BY \"total_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"range_atomic_radius\\\" AS REAL) AS \\\"range_atomic_radius\\\", SUM(CAST(\\\"mean_atomic_mass\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"range_atomic_radius\\\" IS NOT NULL\\n AND \\\"mean_atomic_mass\\\" IS NOT NULL\\nGROUP BY CAST(\\\"range_atomic_radius\\\" AS REAL)\\nORDER BY \\\"total_measure\\\" DESC;\", \"columns\": [\"range_atomic_radius\", \"total_measure\"], \"rows\": [{\"range_atomic_radius\": 205.0, \"total_measure\": 528388.6705855544}, {\"range_atomic_radius\": 171.0, \"total_measure\": 261337.00083991827}, {\"range_atomic_radius\": 139.0, \"total_measure\": 37773.27226422666}, {\"range_atomic_radius\": 199.0, \"total_measure\": 32164.713454738096}, {\"range_atomic_radius\": 0.0, \"total_measure\": 31344.2415698}, {\"range_atomic_radius\": 33.0, \"total_measure\": 28906.933403833336}, {\"range_atomic_radius\": 2.0, \"total_measure\": 27313.51776}, {\"range_atomic_radius\": 53.0, \"total_measure\": 24204.741283249998}, {\"range_atomic_radius\": 185.0, \"total_measure\": 21110.827585928575}, {\"range_atomic_radius\": 80.0, \"total_measure\": 19732.573223289994}, {\"range_atomic_radius\": 158.0, \"total_measure\": 18102.030715833334}, {\"range_atomic_radius\": 147.0, \"total_measure\": 18047.980414520003}, {\"range_atomic_radius\": 190.0, \"total_measure\": 17951.012007093144}, {\"range_atomic_radius\": 62.0, \"total_measure\": 13706.536197383335}, {\"range_atomic_radius\": 29.0, \"total_measure\": 13449.95831116666}, {\"range_atomic_radius\": 10.0, \"total_measure\": 12941.862003833334}, {\"range_atomic_radius\": 145.0, \"total_measure\": 12896.5662893}, {\"range_atomic_radius\": 183.0, \"total_measure\": 12876.17661197286}, {\"range_atomic_radius\": 153.0, \"total_measure\": 11824.337697746667}, {\"range_atomic_radius\": 103.0, \"total_measure\": 11593.301421236674}, {\"range_atomic_radius\": 12.0, \"total_measure\": 11521.89258333334}, {\"range_atomic_radius\": 13.0, \"total_measure\": 11434.963129333337}, {\"range_atomic_radius\": 87.0, \"total_measure\": 11197.327289919996}, {\"range_atomic_radius\": 18.0, \"total_measure\": 11093.248457}, {\"range_atomic_radius\": 57.0, \"total_measure\": 10880.71594333334}, {\"range_atomic_radius\": 142.0, \"total_measure\": 10641.731253037333}, {\"range_atomic_radius\": 5.0, \"total_measure\": 10571.72502}, {\"range_atomic_radius\": 77.0, \"total_measure\": 10514.009178083345}, {\"range_atomic_radius\": 8.0, \"total_measure\": 10422.440826666665}, {\"range_atomic_radius\": 20.0, \"total_measure\": 10356.342626833333}, {\"range_atomic_radius\": 35.0, \"total_measure\": 10300.450328333334}, {\"range_atomic_radius\": 7.0, \"total_measure\": 10155.194270500002}, {\"range_atomic_radius\": 106.0, \"total_measure\": 9969.52435108333}, {\"range_atomic_radius\": 164.0, \"total_measure\": 9850.625597826665}, {\"range_atomic_radius\": 11.0, \"total_measure\": 9821.067200333333}, {\"range_atomic_radius\": 70.0, \"total_measure\": 9261.027551099998}, {\"range_atomic_radius\": 84.0, \"total_measure\": 9180.248172933336}, {\"range_atomic_radius\": 22.0, \"total_measure\": 9155.598346333334}, {\"range_atomic_radius\": 95.0, \"total_measure\": 8789.401193200001}, {\"range_atomic_radius\": 17.0, \"total_measure\": 8592.72644000001}, {\"range_atomic_radius\": 24.0, \"total_measure\": 8578.225456799999}, {\"range_atomic_radius\": 73.0, \"total_measure\": 8533.51143}, {\"range_atomic_radius\": 150.0, \"total_measure\": 8504.84665085}, {\"range_atomic_radius\": 114.0, \"total_measure\": 8384.613705999996}, {\"range_atomic_radius\": 111.0, \"total_measure\": 8229.541239693333}, {\"range_atomic_radius\": 74.0, \"total_measure\": 7985.842579833339}, {\"range_atomic_radius\": 50.0, \"total_measure\": 7945.308019916672}, {\"range_atomic_radius\": 178.0, \"total_measure\": 7792.925178971429}, {\"range_atomic_radius\": 97.0, \"total_measure\": 7786.402073866666}, {\"range_atomic_radius\": 3.0, \"total_measure\": 7727.88123}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 52.28}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1da89ce153b7fa4c470bef2a76225d985e021fb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:28:40.305316+00:00", + "ended_at": "2026-05-19T15:28:53.955026+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_30d6f37d22552b1a", + "problem_id": "v2p_n5_e90eea5a2f77ab1e", + "dataset_id": "n5", + "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=range_atomic_radius, measure_col=mean_atomic_mass.", + "bindings": { + "group_col": "range_atomic_radius", + "measure_col": "mean_atomic_mass", + "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": 100.351275, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/2", + "binding_index=1" + ], + "template_selection_mode": "rule", + "selected_template_rank": 1, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_30d6f37d22552b1a.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_30d6f37d22552b1a", + "api_calls": 0, + "input_tokens": 25574, + "cached_input_tokens": 12032, + "output_tokens": 634, + "total_tokens": 26208, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13575.91, + "sql_execution_elapsed_ms_total": 52.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b4cdac31074fbf6ff660bde89c2c8e04baa1d903 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:53.900217+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13575.91, "started_at": "2026-05-19T15:28:40.322542+00:00", "ended_at": "2026-05-19T15:28:53.898492+00:00", "prompt_metrics": {"chars": 44840, "bytes_utf8": 44840, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 550, "bytes_utf8": 550, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25574, "cached_input_tokens": 12032, "output_tokens": 634, "reasoning_output_tokens": 495}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"range_atomic_radius\\\" AS REAL) AS \\\"range_atomic_radius\\\", SUM(CAST(\\\"mean_atomic_mass\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"range_atomic_radius\\\" IS NOT NULL\\n AND \\\"mean_atomic_mass\\\" IS NOT NULL\\nGROUP BY CAST(\\\"range_atomic_radius\\\" AS REAL)\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the planned grouped-sum template with \\\"range_atomic_radius\\\" as the grouping column and sums \\\"mean_atomic_mass\\\" after casting from TEXT to REAL for SQLite numeric aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8b5c23ddc27df8dc9e7f66e18710b934de4f22ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_30d6f37d22552b1a", + "api_calls": 0, + "input_tokens": 25574, + "cached_input_tokens": 12032, + "output_tokens": 634, + "total_tokens": 26208, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13575.91, + "sql_execution_elapsed_ms_total": 52.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_30d6f37d22552b1a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_34a8733e63db8a90/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_34a8733e63db8a90/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bf10e72302dc985b66b911a18142ad47bf1f1a1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_34a8733e63db8a90/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:56:25.171895+00:00", + "ended_at": "2026-05-19T15:56:33.022318+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_34a8733e63db8a90", + "problem_id": "v2p_n5_315710854d8a47ea", + "dataset_id": "n5", + "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=gmean_Valence, measure_col=critical_temp.", + "bindings": { + "group_col": "gmean_Valence", + "measure_col": "critical_temp", + "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": 59.44, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=2/2", + "binding_index=80" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 9, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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_c/n5/artifacts/v2q_n5_34a8733e63db8a90/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_34a8733e63db8a90/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..56a326e52d11d630326ecc75ce8ac4383e1e07eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_34a8733e63db8a90/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:56:28.759849+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": 3574.54, "started_at": "2026-05-19T15:56:25.184186+00:00", "ended_at": "2026-05-19T15:56:28.758755+00:00", "prompt_metrics": {"chars": 45375, "bytes_utf8": 45375, "lines": 1080, "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-e1ec-7113-b24b-a977ae581d7c\"}\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": "2026-05-19T15:56:33.022231+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": 3260.11, "started_at": "2026-05-19T15:56:29.761256+00:00", "ended_at": "2026-05-19T15:56:33.021391+00:00", "prompt_metrics": {"chars": 45375, "bytes_utf8": 45375, "lines": 1080, "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-f3b8-7600-a7fd-0dfddb7e26cb\"}\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_c/n5/artifacts/v2q_n5_373e0b47a5f48352/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_373e0b47a5f48352/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..91bd0f60e75a8811881ba5bbb15acef025027023 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_373e0b47a5f48352/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "0.433012701892219", "support": 1939, "support_share": 0.09119127122231106, "cumulative_support": 1939}, {"value_label": "0.4", "support": 1617, "support_share": 0.0760475944128298, "cumulative_support": 3556}, {"value_label": "0.5", "support": 1406, "support_share": 0.06612425339792127, "cumulative_support": 4962}, {"value_label": "0", "support": 1398, "support_share": 0.06574801298029441, "cumulative_support": 6360}, {"value_label": "0.471404520791032", "support": 1178, "support_share": 0.05540140149555566, "cumulative_support": 7538}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_373e0b47a5f48352/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_373e0b47a5f48352/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..d756b1c29782dcc31042f4e647da01c9b84a9b0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_373e0b47a5f48352/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_373e0b47a5f48352 +-- problem_id: v2p_n5_f110d6b71ad6dd74 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "std_Valence" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "std_Valence" +), 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_c/n5/artifacts/v2q_n5_373e0b47a5f48352/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_373e0b47a5f48352/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..255f044c5116dcff98d25974b62531713ce43437 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_373e0b47a5f48352/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_c\n-- sql_source_dataset_id: n5\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_n5_373e0b47a5f48352\n-- problem_id: v2p_n5_f110d6b71ad6dd74\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"std_Valence\" AS value_label, COUNT(*) AS support\n FROM \"n5\"\n GROUP BY \"std_Valence\"\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_c\\n-- sql_source_dataset_id: n5\\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_n5_373e0b47a5f48352\\n-- problem_id: v2p_n5_f110d6b71ad6dd74\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"std_Valence\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n5\\\"\\n GROUP BY \\\"std_Valence\\\"\\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\": \"0.433012701892219\", \"support\": 1939, \"support_share\": 0.09119127122231106, \"cumulative_support\": 1939}, {\"value_label\": \"0.4\", \"support\": 1617, \"support_share\": 0.0760475944128298, \"cumulative_support\": 3556}, {\"value_label\": \"0.5\", \"support\": 1406, \"support_share\": 0.06612425339792127, \"cumulative_support\": 4962}, {\"value_label\": \"0\", \"support\": 1398, \"support_share\": 0.06574801298029441, \"cumulative_support\": 6360}, {\"value_label\": \"0.471404520791032\", \"support\": 1178, \"support_share\": 0.05540140149555566, \"cumulative_support\": 7538}, {\"value_label\": \"1\", \"support\": 1002, \"support_share\": 0.047124112307764664, \"cumulative_support\": 8540}, {\"value_label\": \"0.8\", \"support\": 940, \"support_share\": 0.04420824907115647, \"cumulative_support\": 9480}, {\"value_label\": \"0.489897948556636\", \"support\": 859, \"support_share\": 0.040398814842684476, \"cumulative_support\": 10339}, {\"value_label\": \"0.816496580927726\", \"support\": 845, \"support_share\": 0.03974039411183746, \"cumulative_support\": 11184}, {\"value_label\": \"1.24721912892465\", \"support\": 742, \"support_share\": 0.0348962987348916, \"cumulative_support\": 11926}, {\"value_label\": \"1.5\", \"support\": 540, \"support_share\": 0.02539622818981329, \"cumulative_support\": 12466}, {\"value_label\": \"0.942809041582063\", \"support\": 489, \"support_share\": 0.022997695527442037, \"cumulative_support\": 12955}, {\"value_label\": \"1.4142135623731\", \"support\": 481, \"support_share\": 0.022621455109815173, \"cumulative_support\": 13436}, {\"value_label\": \"0.763762615825973\", \"support\": 454, \"support_share\": 0.021351643700324507, \"cumulative_support\": 13890}, {\"value_label\": \"1.2\", \"support\": 377, \"support_share\": 0.017730329680665947, \"cumulative_support\": 14267}, {\"value_label\": \"1.10554159678513\", \"support\": 332, \"support_share\": 0.015613977331514838, \"cumulative_support\": 14599}, {\"value_label\": \"0.632455532033676\", \"support\": 322, \"support_share\": 0.015143676809481258, \"cumulative_support\": 14921}, {\"value_label\": \"1.4790199457749\", \"support\": 287, \"support_share\": 0.01349762498236373, \"cumulative_support\": 15208}, {\"value_label\": \"0.82915619758885\", \"support\": 286, \"support_share\": 0.013450594930160372, \"cumulative_support\": 15494}, {\"value_label\": \"1.16619037896906\", \"support\": 282, \"support_share\": 0.01326247472134694, \"cumulative_support\": 15776}, {\"value_label\": \"1.29903810567666\", \"support\": 277, \"support_share\": 0.01302732446033015, \"cumulative_support\": 16053}, {\"value_label\": \"0.372677996249965\", \"support\": 276, \"support_share\": 0.012980294408126793, \"cumulative_support\": 16329}, {\"value_label\": \"1.11803398874989\", \"support\": 268, \"support_share\": 0.012604053990499929, \"cumulative_support\": 16597}, {\"value_label\": \"1.21335164821342\", \"support\": 266, \"support_share\": 0.012509993886093213, \"cumulative_support\": 16863}, {\"value_label\": \"1.08972473588517\", \"support\": 240, \"support_share\": 0.011287212528805907, \"cumulative_support\": 17103}, {\"value_label\": \"1.69967317119759\", \"support\": 224, \"support_share\": 0.01053473169355218, \"cumulative_support\": 17327}, {\"value_label\": \"1.46249406456535\", \"support\": 193, \"support_share\": 0.009076800075248083, \"cumulative_support\": 17520}, {\"value_label\": \"1.22474487139159\", \"support\": 188, \"support_share\": 0.008841649814231294, \"cumulative_support\": 17708}, {\"value_label\": \"1.32664991614216\", \"support\": 180, \"support_share\": 0.00846540939660443, \"cumulative_support\": 17888}, {\"value_label\": \"0.748331477354788\", \"support\": 179, \"support_share\": 0.008418379344401072, \"cumulative_support\": 18067}, {\"value_label\": \"0.707106781186548\", \"support\": 171, \"support_share\": 0.008042138926774208, \"cumulative_support\": 18238}, {\"value_label\": \"1.12485826771597\", \"support\": 170, \"support_share\": 0.00799510887457085, \"cumulative_support\": 18408}, {\"value_label\": \"1.54919333848297\", \"support\": 164, \"support_share\": 0.007712928561350703, \"cumulative_support\": 18572}, {\"value_label\": \"0.728431359084684\", \"support\": 154, \"support_share\": 0.007242628039317123, \"cumulative_support\": 18726}, {\"value_label\": \"1.63299316185545\", \"support\": 140, \"support_share\": 0.006584207308470112, \"cumulative_support\": 18866}, {\"value_label\": \"1.15470053837925\", \"support\": 117, \"support_share\": 0.0055025161077928795, \"cumulative_support\": 18983}, {\"value_label\": \"2\", \"support\": 114, \"support_share\": 0.005361425951182806, \"cumulative_support\": 19097}, {\"value_label\": \"1.46969384566991\", \"support\": 111, \"support_share\": 0.005220335794572732, \"cumulative_support\": 19208}, {\"value_label\": \"2.05480466765633\", \"support\": 104, \"support_share\": 0.004891125429149226, \"cumulative_support\": 19312}, {\"value_label\": \"2.16024689946929\", \"support\": 104, \"support_share\": 0.004891125429149226, \"cumulative_support\": 19416}, {\"value_label\": \"1.35646599662505\", \"support\": 101, \"support_share\": 0.004750035272539152, \"cumulative_support\": 19517}, {\"value_label\": \"1.88561808316413\", \"support\": 99, \"support_share\": 0.0046559751681324365, \"cumulative_support\": 19616}, {\"value_label\": \"1.85472369909914\", \"support\": 94, \"support_share\": 0.004420824907115647, \"cumulative_support\": 19710}, {\"value_label\": \"0.866025403784439\", \"support\": 88, \"support_share\": 0.004138644593895499, \"cumulative_support\": 19798}, {\"value_label\": \"1.58113883008419\", \"support\": 86, \"support_share\": 0.004044584489488783, \"cumulative_support\": 19884}, {\"value_label\": \"0.451753951452626\", \"support\": 75, \"support_share\": 0.003527253915251846, \"cumulative_support\": 19959}, {\"value_label\": \"0.74535599249993\", \"support\": 72, \"support_share\": 0.003386163758641772, \"cumulative_support\": 20031}, {\"value_label\": \"1.01980390271856\", \"support\": 67, \"support_share\": 0.0031510134976249823, \"cumulative_support\": 20098}, {\"value_label\": \"1.26491106406735\", \"support\": 58, \"support_share\": 0.0027277430277947608, \"cumulative_support\": 20156}, {\"value_label\": \"1.04978131833565\", \"support\": 56, \"support_share\": 0.002633682923388045, \"cumulative_support\": 20212}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 17.3}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_373e0b47a5f48352/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_373e0b47a5f48352/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a11cdb2bd9b041f5ee3d65e98d7ac8f857fa943b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_373e0b47a5f48352/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:15:36.703706+00:00", + "ended_at": "2026-05-19T16:15:36.722033+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_373e0b47a5f48352", + "problem_id": "v2p_n5_f110d6b71ad6dd74", + "dataset_id": "n5", + "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=std_Valence.", + "bindings": { + "group_col": "std_Valence" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=7", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_373e0b47a5f48352.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_c/n5/artifacts/v2q_n5_373e0b47a5f48352/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_373e0b47a5f48352/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_373e0b47a5f48352/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_c/n5/artifacts/v2q_n5_3856938692e1cc35/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8503a0ced647393d876d031e770b9437c384c319 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/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=number_of_elements, measure_col=wtd_std_atomic_mass. +Result preview: [{"number_of_elements": "4", "percentile_measure": 76.34820622109338}, {"number_of_elements": "5", "percentile_measure": 72.4716588128987}, {"number_of_elements": "6", "percentile_measure": 72.31847304359972}, {"number_of_elements": "3", "percentile_measure": 71.70237406462651}, {"number_of_elements": "9", "percentile_measure": 70.37122328677341}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1f2f90a1e897bc2c65e2eaf91846a85dcd0eab70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/generated_sql.sql @@ -0,0 +1,59 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_3856938692e1cc35 +-- problem_id: v2p_n5_17b01f820f345134 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "number_of_elements" AS "group_col", + CAST("wtd_std_atomic_mass" AS REAL) AS "measure", + ROW_NUMBER() OVER ( + PARTITION BY "number_of_elements" + ORDER BY CAST("wtd_std_atomic_mass" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "number_of_elements") AS "cnt" + FROM "n5" + WHERE "number_of_elements" IS NOT NULL + AND "wtd_std_atomic_mass" IS NOT NULL +), +"positions" AS ( + SELECT + "group_col", + "measure", + "rn", + "cnt", + (1.0 + (0.95 * ("cnt" - 1))) AS "pos", + CAST((1.0 + (0.95 * ("cnt" - 1))) AS INTEGER) AS "lo_rn", + CASE + WHEN (1.0 + (0.95 * ("cnt" - 1))) = CAST((1.0 + (0.95 * ("cnt" - 1))) AS INTEGER) + THEN CAST((1.0 + (0.95 * ("cnt" - 1))) AS INTEGER) + ELSE CAST((1.0 + (0.95 * ("cnt" - 1))) AS INTEGER) + 1 + END AS "hi_rn" + FROM "ranked" +), +"percentile_bounds" AS ( + SELECT + "group_col", + MAX(CASE WHEN "rn" = "lo_rn" THEN "measure" END) AS "lo_measure", + MAX(CASE WHEN "rn" = "hi_rn" THEN "measure" END) AS "hi_measure", + MAX("pos") AS "pos", + MAX("lo_rn") AS "lo_rn" + FROM "positions" + GROUP BY "group_col" +) +SELECT + "group_col" AS "number_of_elements", + CASE + WHEN "pos" = "lo_rn" THEN "lo_measure" + ELSE "lo_measure" + (("pos" - "lo_rn") * ("hi_measure" - "lo_measure")) + END AS "percentile_measure" +FROM "percentile_bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fa5d30b7b5af251900e85d077172c3a436079837 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/query_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 \"number_of_elements\" AS \"group_col\",\n CAST(\"wtd_std_atomic_mass\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"number_of_elements\"\n ORDER BY CAST(\"wtd_std_atomic_mass\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"number_of_elements\") AS \"cnt\"\n FROM \"n5\"\n WHERE \"number_of_elements\" IS NOT NULL\n AND \"wtd_std_atomic_mass\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT\n \"group_col\",\n \"measure\",\n \"rn\",\n \"cnt\",\n (1.0 + (0.95 * (\"cnt\" - 1))) AS \"pos\",\n CAST((1.0 + (0.95 * (\"cnt\" - 1))) AS INTEGER) AS \"lo_rn\",\n CASE\n WHEN (1.0 + (0.95 * (\"cnt\" - 1))) = CAST((1.0 + (0.95 * (\"cnt\" - 1))) AS INTEGER)\n THEN CAST((1.0 + (0.95 * (\"cnt\" - 1))) AS INTEGER)\n ELSE CAST((1.0 + (0.95 * (\"cnt\" - 1))) AS INTEGER) + 1\n END AS \"hi_rn\"\n FROM \"ranked\"\n),\n\"percentile_bounds\" AS (\n SELECT\n \"group_col\",\n MAX(CASE WHEN \"rn\" = \"lo_rn\" THEN \"measure\" END) AS \"lo_measure\",\n MAX(CASE WHEN \"rn\" = \"hi_rn\" THEN \"measure\" END) AS \"hi_measure\",\n MAX(\"pos\") AS \"pos\",\n MAX(\"lo_rn\") AS \"lo_rn\"\n FROM \"positions\"\n GROUP BY \"group_col\"\n)\nSELECT\n \"group_col\" AS \"number_of_elements\",\n CASE\n WHEN \"pos\" = \"lo_rn\" THEN \"lo_measure\"\n ELSE \"lo_measure\" + ((\"pos\" - \"lo_rn\") * (\"hi_measure\" - \"lo_measure\"))\n END AS \"percentile_measure\"\nFROM \"percentile_bounds\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"number_of_elements\\\" AS \\\"group_col\\\",\\n CAST(\\\"wtd_std_atomic_mass\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"number_of_elements\\\"\\n ORDER BY CAST(\\\"wtd_std_atomic_mass\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"number_of_elements\\\") AS \\\"cnt\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"number_of_elements\\\" IS NOT NULL\\n AND \\\"wtd_std_atomic_mass\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"measure\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n (1.0 + (0.95 * (\\\"cnt\\\" - 1))) AS \\\"pos\\\",\\n CAST((1.0 + (0.95 * (\\\"cnt\\\" - 1))) AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN (1.0 + (0.95 * (\\\"cnt\\\" - 1))) = CAST((1.0 + (0.95 * (\\\"cnt\\\" - 1))) AS INTEGER)\\n THEN CAST((1.0 + (0.95 * (\\\"cnt\\\" - 1))) AS INTEGER)\\n ELSE CAST((1.0 + (0.95 * (\\\"cnt\\\" - 1))) AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"percentile_bounds\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lo_rn\\\" THEN \\\"measure\\\" END) AS \\\"lo_measure\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"hi_rn\\\" THEN \\\"measure\\\" END) AS \\\"hi_measure\\\",\\n MAX(\\\"pos\\\") AS \\\"pos\\\",\\n MAX(\\\"lo_rn\\\") AS \\\"lo_rn\\\"\\n FROM \\\"positions\\\"\\n GROUP BY \\\"group_col\\\"\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"number_of_elements\\\",\\n CASE\\n WHEN \\\"pos\\\" = \\\"lo_rn\\\" THEN \\\"lo_measure\\\"\\n ELSE \\\"lo_measure\\\" + ((\\\"pos\\\" - \\\"lo_rn\\\") * (\\\"hi_measure\\\" - \\\"lo_measure\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"percentile_bounds\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"number_of_elements\", \"percentile_measure\"], \"rows\": [{\"number_of_elements\": \"4\", \"percentile_measure\": 76.34820622109338}, {\"number_of_elements\": \"5\", \"percentile_measure\": 72.4716588128987}, {\"number_of_elements\": \"6\", \"percentile_measure\": 72.31847304359972}, {\"number_of_elements\": \"3\", \"percentile_measure\": 71.70237406462651}, {\"number_of_elements\": \"9\", \"percentile_measure\": 70.37122328677341}, {\"number_of_elements\": \"7\", \"percentile_measure\": 67.84798865447286}, {\"number_of_elements\": \"2\", \"percentile_measure\": 64.27425838515904}, {\"number_of_elements\": \"8\", \"percentile_measure\": 64.2184479589612}, {\"number_of_elements\": \"1\", \"percentile_measure\": 0.0}], \"row_count_returned\": 9, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 76.84}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0920d7fedc0dc34490ec55aa858e71f00dcc9b58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:06:27.185458+00:00", + "ended_at": "2026-05-19T16:06:46.898799+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_3856938692e1cc35", + "problem_id": "v2p_n5_17b01f820f345134", + "dataset_id": "n5", + "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=number_of_elements, measure_col=wtd_std_atomic_mass.", + "bindings": { + "group_col": "number_of_elements", + "measure_col": "wtd_std_atomic_mass", + "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": 55.119877, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_3856938692e1cc35.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_3856938692e1cc35", + "api_calls": 0, + "input_tokens": 25615, + "cached_input_tokens": 12032, + "output_tokens": 1115, + "total_tokens": 26730, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19622.66, + "sql_execution_elapsed_ms_total": 76.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5fe37689f10328463d0d693125b80da0a5808bce --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:06:46.820210+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 19622.66, "started_at": "2026-05-19T16:06:27.196658+00:00", "ended_at": "2026-05-19T16:06:46.819342+00:00", "prompt_metrics": {"chars": 45025, "bytes_utf8": 45025, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 1826, "bytes_utf8": 1826, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25615, "cached_input_tokens": 12032, "output_tokens": 1115, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"number_of_elements\\\" AS \\\"group_col\\\",\\n CAST(\\\"wtd_std_atomic_mass\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"number_of_elements\\\"\\n ORDER BY CAST(\\\"wtd_std_atomic_mass\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"number_of_elements\\\") AS \\\"cnt\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"number_of_elements\\\" IS NOT NULL\\n AND \\\"wtd_std_atomic_mass\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"group_col\\\",\\n \\\"measure\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n (1.0 + (0.95 * (\\\"cnt\\\" - 1))) AS \\\"pos\\\",\\n CAST((1.0 + (0.95 * (\\\"cnt\\\" - 1))) AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN (1.0 + (0.95 * (\\\"cnt\\\" - 1))) = CAST((1.0 + (0.95 * (\\\"cnt\\\" - 1))) AS INTEGER)\\n THEN CAST((1.0 + (0.95 * (\\\"cnt\\\" - 1))) AS INTEGER)\\n ELSE CAST((1.0 + (0.95 * (\\\"cnt\\\" - 1))) AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"percent"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7527c32a188e82929a119a8a3308853207e87347 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_3856938692e1cc35", + "api_calls": 0, + "input_tokens": 25615, + "cached_input_tokens": 12032, + "output_tokens": 1115, + "total_tokens": 26730, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19622.66, + "sql_execution_elapsed_ms_total": 76.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3856938692e1cc35/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3b5e7d3c53e091a7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3b5e7d3c53e091a7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b3aa1438142fffdec903dbe556c41facbd64cde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3b5e7d3c53e091a7/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "205", "support": 6141, "support_share": 0.28881155058082114, "cumulative_support": 6141}, {"value_label": "171", "support": 3124, "support_share": 0.1469218830832902, "cumulative_support": 9265}, {"value_label": "139", "support": 442, "support_share": 0.02078728307388421, "cumulative_support": 9707}, {"value_label": "199", "support": 358, "support_share": 0.016836758688802144, "cumulative_support": 10065}, {"value_label": "53", "support": 317, "support_share": 0.014908526548464468, "cumulative_support": 10382}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3b5e7d3c53e091a7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3b5e7d3c53e091a7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3c946efa6176eaed231d913623dbd30b90b19426 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3b5e7d3c53e091a7/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_3b5e7d3c53e091a7 +-- problem_id: v2p_n5_07b6f11c7f890de4 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "range_atomic_radius" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "range_atomic_radius" +), 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_c/n5/artifacts/v2q_n5_3b5e7d3c53e091a7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3b5e7d3c53e091a7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..065858540c515d4ec57c16b382973f51ad81161c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3b5e7d3c53e091a7/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_c\n-- sql_source_dataset_id: n5\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_n5_3b5e7d3c53e091a7\n-- problem_id: v2p_n5_07b6f11c7f890de4\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"range_atomic_radius\" AS value_label, COUNT(*) AS support\n FROM \"n5\"\n GROUP BY \"range_atomic_radius\"\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_c\\n-- sql_source_dataset_id: n5\\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_n5_3b5e7d3c53e091a7\\n-- problem_id: v2p_n5_07b6f11c7f890de4\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"range_atomic_radius\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n5\\\"\\n GROUP BY \\\"range_atomic_radius\\\"\\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\": \"205\", \"support\": 6141, \"support_share\": 0.28881155058082114, \"cumulative_support\": 6141}, {\"value_label\": \"171\", \"support\": 3124, \"support_share\": 0.1469218830832902, \"cumulative_support\": 9265}, {\"value_label\": \"139\", \"support\": 442, \"support_share\": 0.02078728307388421, \"cumulative_support\": 9707}, {\"value_label\": \"199\", \"support\": 358, \"support_share\": 0.016836758688802144, \"cumulative_support\": 10065}, {\"value_label\": \"53\", \"support\": 317, \"support_share\": 0.014908526548464468, \"cumulative_support\": 10382}, {\"value_label\": \"0\", \"support\": 305, \"support_share\": 0.014344165922024173, \"cumulative_support\": 10687}, {\"value_label\": \"80\", \"support\": 304, \"support_share\": 0.014297135869820815, \"cumulative_support\": 10991}, {\"value_label\": \"33\", \"support\": 246, \"support_share\": 0.011569392842026054, \"cumulative_support\": 11237}, {\"value_label\": \"147\", \"support\": 245, \"support_share\": 0.011522362789822696, \"cumulative_support\": 11482}, {\"value_label\": \"185\", \"support\": 224, \"support_share\": 0.01053473169355218, \"cumulative_support\": 11706}, {\"value_label\": \"145\", \"support\": 215, \"support_share\": 0.010111461223721958, \"cumulative_support\": 11921}, {\"value_label\": \"158\", \"support\": 208, \"support_share\": 0.009782250858298452, \"cumulative_support\": 12129}, {\"value_label\": \"190\", \"support\": 207, \"support_share\": 0.009735220806095094, \"cumulative_support\": 12336}, {\"value_label\": \"142\", \"support\": 201, \"support_share\": 0.009453040492874947, \"cumulative_support\": 12537}, {\"value_label\": \"2\", \"support\": 185, \"support_share\": 0.00870055965762122, \"cumulative_support\": 12722}, {\"value_label\": \"153\", \"support\": 181, \"support_share\": 0.008512439448807788, \"cumulative_support\": 12903}, {\"value_label\": \"58\", \"support\": 172, \"support_share\": 0.008089168978977566, \"cumulative_support\": 13075}, {\"value_label\": \"150\", \"support\": 151, \"support_share\": 0.00710153788270705, \"cumulative_support\": 13226}, {\"value_label\": \"103\", \"support\": 146, \"support_share\": 0.00686638762169026, \"cumulative_support\": 13372}, {\"value_label\": \"62\", \"support\": 144, \"support_share\": 0.006772327517283544, \"cumulative_support\": 13516}, {\"value_label\": \"87\", \"support\": 135, \"support_share\": 0.0063490570474533225, \"cumulative_support\": 13651}, {\"value_label\": \"183\", \"support\": 133, \"support_share\": 0.006254996943046607, \"cumulative_support\": 13784}, {\"value_label\": \"164\", \"support\": 131, \"support_share\": 0.006160936838639891, \"cumulative_support\": 13915}, {\"value_label\": \"35\", \"support\": 126, \"support_share\": 0.005925786577623101, \"cumulative_support\": 14041}, {\"value_label\": \"111\", \"support\": 124, \"support_share\": 0.005831726473216385, \"cumulative_support\": 14165}, {\"value_label\": \"60\", \"support\": 121, \"support_share\": 0.005690636316606311, \"cumulative_support\": 14286}, {\"value_label\": \"29\", \"support\": 108, \"support_share\": 0.005079245637962658, \"cumulative_support\": 14394}, {\"value_label\": \"57\", \"support\": 106, \"support_share\": 0.004985185533555942, \"cumulative_support\": 14500}, {\"value_label\": \"73\", \"support\": 106, \"support_share\": 0.004985185533555942, \"cumulative_support\": 14606}, {\"value_label\": \"5\", \"support\": 105, \"support_share\": 0.004938155481352584, \"cumulative_support\": 14711}, {\"value_label\": \"146\", \"support\": 103, \"support_share\": 0.004844095376945868, \"cumulative_support\": 14814}, {\"value_label\": \"196\", \"support\": 99, \"support_share\": 0.0046559751681324365, \"cumulative_support\": 14913}, {\"value_label\": \"7\", \"support\": 97, \"support_share\": 0.004561915063725721, \"cumulative_support\": 15010}, {\"value_label\": \"10\", \"support\": 96, \"support_share\": 0.004514885011522363, \"cumulative_support\": 15106}, {\"value_label\": \"128\", \"support\": 96, \"support_share\": 0.004514885011522363, \"cumulative_support\": 15202}, {\"value_label\": \"95\", \"support\": 96, \"support_share\": 0.004514885011522363, \"cumulative_support\": 15298}, {\"value_label\": \"108\", \"support\": 94, \"support_share\": 0.004420824907115647, \"cumulative_support\": 15392}, {\"value_label\": \"211\", \"support\": 93, \"support_share\": 0.004373794854912289, \"cumulative_support\": 15485}, {\"value_label\": \"84\", \"support\": 93, \"support_share\": 0.004373794854912289, \"cumulative_support\": 15578}, {\"value_label\": \"106\", \"support\": 92, \"support_share\": 0.004326764802708931, \"cumulative_support\": 15670}, {\"value_label\": \"78\", \"support\": 91, \"support_share\": 0.004279734750505573, \"cumulative_support\": 15761}, {\"value_label\": \"12\", \"support\": 90, \"support_share\": 0.004232704698302215, \"cumulative_support\": 15851}, {\"value_label\": \"74\", \"support\": 89, \"support_share\": 0.004185674646098857, \"cumulative_support\": 15940}, {\"value_label\": \"77\", \"support\": 89, \"support_share\": 0.004185674646098857, \"cumulative_support\": 16029}, {\"value_label\": \"159\", \"support\": 88, \"support_share\": 0.004138644593895499, \"cumulative_support\": 16117}, {\"value_label\": \"70\", \"support\": 88, \"support_share\": 0.004138644593895499, \"cumulative_support\": 16205}, {\"value_label\": \"22\", \"support\": 87, \"support_share\": 0.004091614541692141, \"cumulative_support\": 16292}, {\"value_label\": \"195\", \"support\": 86, \"support_share\": 0.004044584489488783, \"cumulative_support\": 16378}, {\"value_label\": \"178\", \"support\": 84, \"support_share\": 0.003950524385082067, \"cumulative_support\": 16462}, {\"value_label\": \"8\", \"support\": 84, \"support_share\": 0.003950524385082067, \"cumulative_support\": 16546}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 15.24}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3b5e7d3c53e091a7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3b5e7d3c53e091a7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..92e2079ac3777cf3a26f1293251972942075ff2e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3b5e7d3c53e091a7/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:15:36.618903+00:00", + "ended_at": "2026-05-19T16:15:36.635142+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_3b5e7d3c53e091a7", + "problem_id": "v2p_n5_07b6f11c7f890de4", + "dataset_id": "n5", + "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=range_atomic_radius.", + "bindings": { + "group_col": "range_atomic_radius" + }, + "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_c/n5/sql/v2q_n5_3b5e7d3c53e091a7.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_c/n5/artifacts/v2q_n5_3b5e7d3c53e091a7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3b5e7d3c53e091a7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3b5e7d3c53e091a7/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_c/n5/artifacts/v2q_n5_3d277559dadb87d4/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d277559dadb87d4/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..57446f03103195c7bf8bbf90c2e765bb32e6fe3d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d277559dadb87d4/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"std_fie": "311.743492313793", "support": 720, "avg_response": 76.4445625}, {"std_fie": "314.505965762178", "support": 358, "avg_response": 76.5177175}, {"std_fie": "276.063147848459", "support": 323, "avg_response": 83.24476}, {"std_fie": "0", "support": 289, "avg_response": 101.74840448892733}, {"std_fie": "282.395259167005", "support": 267, "avg_response": 74.23165}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d277559dadb87d4/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d277559dadb87d4/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..befc4d3950fc61d5d174a5bce1f6f0a505e152fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d277559dadb87d4/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_3d277559dadb87d4 +-- problem_id: v2p_n5_17053637a3a4e5f4 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "std_fie", + COUNT(*) AS support, + AVG("mean_atomic_mass") AS avg_response +FROM "n5" +GROUP BY "std_fie" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d277559dadb87d4/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d277559dadb87d4/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a489b8fb3a49c1f6e437d42a7981cf8d8ae5d572 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d277559dadb87d4/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_c\n-- sql_source_dataset_id: n5\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_n5_3d277559dadb87d4\n-- problem_id: v2p_n5_17053637a3a4e5f4\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"std_fie\",\n COUNT(*) AS support,\n AVG(\"mean_atomic_mass\") AS avg_response\nFROM \"n5\"\nGROUP BY \"std_fie\"\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_c\\n-- sql_source_dataset_id: n5\\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_n5_3d277559dadb87d4\\n-- problem_id: v2p_n5_17053637a3a4e5f4\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"std_fie\\\",\\n COUNT(*) AS support,\\n AVG(\\\"mean_atomic_mass\\\") AS avg_response\\nFROM \\\"n5\\\"\\nGROUP BY \\\"std_fie\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"std_fie\", \"support\", \"avg_response\"], \"rows\": [{\"std_fie\": \"311.743492313793\", \"support\": 720, \"avg_response\": 76.4445625}, {\"std_fie\": \"314.505965762178\", \"support\": 358, \"avg_response\": 76.5177175}, {\"std_fie\": \"276.063147848459\", \"support\": 323, \"avg_response\": 83.24476}, {\"std_fie\": \"0\", \"support\": 289, \"avg_response\": 101.74840448892733}, {\"std_fie\": \"282.395259167005\", \"support\": 267, \"avg_response\": 74.23165}, {\"std_fie\": \"298.643006949769\", \"support\": 254, \"avg_response\": 89.33718}, {\"std_fie\": \"279.181098214045\", \"support\": 175, \"avg_response\": 73.66551628571429}, {\"std_fie\": \"296.615154029594\", \"support\": 167, \"avg_response\": 88.936744}, {\"std_fie\": \"323.811807806633\", \"support\": 155, \"avg_response\": 88.9444675}, {\"std_fie\": \"299.031967521869\", \"support\": 154, \"avg_response\": 79.171174}, {\"std_fie\": \"301.512839693437\", \"support\": 150, \"avg_response\": 104.3656}, {\"std_fie\": \"290.594200905662\", \"support\": 137, \"avg_response\": 69.17125}, {\"std_fie\": \"253.160212777074\", \"support\": 136, \"avg_response\": 103.903966666667}, {\"std_fie\": \"283.30936730013\", \"support\": 126, \"avg_response\": 103.010254}, {\"std_fie\": \"293.286136051468\", \"support\": 123, \"avg_response\": 92.26674}, {\"std_fie\": \"285.28486114759\", \"support\": 121, \"avg_response\": 74.290174}, {\"std_fie\": \"295.541543611046\", \"support\": 119, \"avg_response\": 91.50808}, {\"std_fie\": \"279.788738872743\", \"support\": 116, \"avg_response\": 72.89433}, {\"std_fie\": \"259.357871589731\", \"support\": 111, \"avg_response\": 84.188275}, {\"std_fie\": \"282.037085504726\", \"support\": 107, \"avg_response\": 72.952854}, {\"std_fie\": \"349.805756813692\", \"support\": 105, \"avg_response\": 100.351275}, {\"std_fie\": \"325.570463763223\", \"support\": 98, \"avg_response\": 90.2786}, {\"std_fie\": \"279.201385383382\", \"support\": 95, \"avg_response\": 72.942289}, {\"std_fie\": \"74.5696244384326\", \"support\": 94, \"avg_response\": 86.97818794326238}, {\"std_fie\": \"209.053119744719\", \"support\": 85, \"avg_response\": 76.797975}, {\"std_fie\": \"151.602264714834\", \"support\": 82, \"avg_response\": 15.7089}, {\"std_fie\": \"295.552370993704\", \"support\": 81, \"avg_response\": 78.67965}, {\"std_fie\": \"157.803998285848\", \"support\": 78, \"avg_response\": 81.75669875}, {\"std_fie\": \"323.992958063906\", \"support\": 77, \"avg_response\": 91.8081}, {\"std_fie\": \"319.052668065948\", \"support\": 77, \"avg_response\": 90.1422625}, {\"std_fie\": \"315.724764430983\", \"support\": 73, \"avg_response\": 105.313925}, {\"std_fie\": \"314.899087010426\", \"support\": 71, \"avg_response\": 93.5306}, {\"std_fie\": \"74.6649999813984\", \"support\": 69, \"avg_response\": 64.1726395333333}, {\"std_fie\": \"318.080708115095\", \"support\": 64, \"avg_response\": 90.97585}, {\"std_fie\": \"93.877828408345\", \"support\": 64, \"avg_response\": 20.6991795333333}, {\"std_fie\": \"276.788491752577\", \"support\": 63, \"avg_response\": 80.79362}, {\"std_fie\": \"259.436458180675\", \"support\": 62, \"avg_response\": 120.375211666667}, {\"std_fie\": \"405.086662332889\", \"support\": 62, \"avg_response\": 60.93397464}, {\"std_fie\": \"405.337000531656\", \"support\": 60, \"avg_response\": 62.78097397333333}, {\"std_fie\": \"269.107560073828\", \"support\": 59, \"avg_response\": 92.8552416666667}, {\"std_fie\": \"299.299399264349\", \"support\": 56, \"avg_response\": 90.062574}, {\"std_fie\": \"31.45\", \"support\": 55, \"avg_response\": 17.558}, {\"std_fie\": \"37.15\", \"support\": 53, \"avg_response\": 133.49594528301884}, {\"std_fie\": \"326.649118576289\", \"support\": 53, \"avg_response\": 72.8169566666667}, {\"std_fie\": \"278.379020202473\", \"support\": 52, \"avg_response\": 81.1273166666667}, {\"std_fie\": \"265.281595144145\", \"support\": 52, \"avg_response\": 67.4649075}, {\"std_fie\": \"29.9\", \"support\": 51, \"avg_response\": 97.06475000000002}, {\"std_fie\": \"316.982341779475\", \"support\": 50, \"avg_response\": 96.03285}, {\"std_fie\": \"259.006360389513\", \"support\": 50, \"avg_response\": 83.89154166666668}, {\"std_fie\": \"276.776450106098\", \"support\": 48, \"avg_response\": 86.2707333333333}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 20.35}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d277559dadb87d4/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d277559dadb87d4/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e7a5fa3ac05909374cffdfb67dba338cb3d1dfe7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d277559dadb87d4/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:15:37.081409+00:00", + "ended_at": "2026-05-19T16:15:37.102586+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_3d277559dadb87d4", + "problem_id": "v2p_n5_17053637a3a4e5f4", + "dataset_id": "n5", + "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=mean_atomic_mass, key_col=std_fie.", + "bindings": { + "key_col": "std_fie", + "measure_col": "mean_atomic_mass", + "min_support": 5 + }, + "binding_roles": [ + "key_col", + "target_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "SELECT\n {key_col},\n COUNT(*) AS support,\n AVG({measure_col}) AS avg_response\nFROM {table}\nGROUP BY {key_col}\nHAVING COUNT(*) >= {min_support}\nORDER BY support DESC, avg_response DESC;", + "notes": [ + "default_facets=target_cardinality_cross_section", + "template_selection_mode=deterministic", + "problem_index_within_template=12", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 12, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3d277559dadb87d4.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_c/n5/artifacts/v2q_n5_3d277559dadb87d4/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d277559dadb87d4/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d277559dadb87d4/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_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..dac42f1432bdf0e8e040fc2bfa2e91a76fd6f9b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/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=std_Valence, measure_col=std_atomic_mass. +Result preview: [{"std_Valence": 2.0, "percentile_measure": 90.608909}, {"std_Valence": 2.5, "percentile_measure": 88.597409}, {"std_Valence": 2.05480466765633, "percentile_measure": 87.04557815031082}, {"std_Valence": 1.69967317119759, "percentile_measure": 86.0459524792938}, {"std_Valence": 1.70782512765993, "percentile_measure": 85.0808828819627}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6f0a36bce998340743f933f8a5ebda9cba6b37f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/generated_sql.sql @@ -0,0 +1,60 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_3d7c957aaf7c0a5f +-- problem_id: v2p_n5_cc1012e4aa6d318e +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + CAST("std_Valence" AS REAL) AS "group_val", + CAST("std_atomic_mass" AS REAL) AS "measure_val" + FROM "n5" + WHERE "std_Valence" IS NOT NULL + AND "std_atomic_mass" IS NOT NULL + AND TRIM("std_Valence") <> '' + AND TRIM("std_atomic_mass") <> '' +), +"ordered" AS ( + SELECT + "group_val", + "measure_val", + ROW_NUMBER() OVER (PARTITION BY "group_val" ORDER BY "measure_val") AS "rn", + COUNT(*) OVER (PARTITION BY "group_val") AS "cnt" + FROM "base" +), +"ranks" AS ( + SELECT DISTINCT + "group_val", + "cnt", + 1.0 + ("cnt" - 1) * 0.95 AS "pos", + CAST(1.0 + ("cnt" - 1) * 0.95 AS INTEGER) AS "lo_rn", + CASE + WHEN (1.0 + ("cnt" - 1) * 0.95) = CAST(1.0 + ("cnt" - 1) * 0.95 AS INTEGER) + THEN CAST(1.0 + ("cnt" - 1) * 0.95 AS INTEGER) + ELSE CAST(1.0 + ("cnt" - 1) * 0.95 AS INTEGER) + 1 + END AS "hi_rn", + (1.0 + ("cnt" - 1) * 0.95) - CAST(1.0 + ("cnt" - 1) * 0.95 AS INTEGER) AS "frac" + FROM "ordered" + WHERE "cnt" >= 5 +) +SELECT + "r"."group_val" AS "std_Valence", + CASE + WHEN "r"."lo_rn" = "r"."hi_rn" THEN "lo"."measure_val" + ELSE "lo"."measure_val" + ("hi"."measure_val" - "lo"."measure_val") * "r"."frac" + END AS "percentile_measure" +FROM "ranks" AS "r" +JOIN "ordered" AS "lo" + ON "lo"."group_val" = "r"."group_val" + AND "lo"."rn" = "r"."lo_rn" +JOIN "ordered" AS "hi" + ON "hi"."group_val" = "r"."group_val" + AND "hi"."rn" = "r"."hi_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6155fcb836f016681857bfb53903170c55e5a047 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/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 \"base\" AS (\n SELECT\n CAST(\"std_Valence\" AS REAL) AS \"group_val\",\n CAST(\"std_atomic_mass\" AS REAL) AS \"measure_val\"\n FROM \"n5\"\n WHERE \"std_Valence\" IS NOT NULL\n AND \"std_atomic_mass\" IS NOT NULL\n AND TRIM(\"std_Valence\") <> ''\n AND TRIM(\"std_atomic_mass\") <> ''\n),\n\"ordered\" AS (\n SELECT\n \"group_val\",\n \"measure_val\",\n ROW_NUMBER() OVER (PARTITION BY \"group_val\" ORDER BY \"measure_val\") AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"group_val\") AS \"cnt\"\n FROM \"base\"\n),\n\"ranks\" AS (\n SELECT DISTINCT\n \"group_val\",\n \"cnt\",\n 1.0 + (\"cnt\" - 1) * 0.95 AS \"pos\",\n CAST(1.0 + (\"cnt\" - 1) * 0.95 AS INTEGER) AS \"lo_rn\",\n CASE\n WHEN (1.0 + (\"cnt\" - 1) * 0.95) = CAST(1.0 + (\"cnt\" - 1) * 0.95 AS INTEGER)\n THEN CAST(1.0 + (\"cnt\" - 1) * 0.95 AS INTEGER)\n ELSE CAST(1.0 + (\"cnt\" - 1) * 0.95 AS INTEGER) + 1\n END AS \"hi_rn\",\n (1.0 + (\"cnt\" - 1) * 0.95) - CAST(1.0 + (\"cnt\" - 1) * 0.95 AS INTEGER) AS \"frac\"\n FROM \"ordered\"\n WHERE \"cnt\" >= 5\n)\nSELECT\n \"r\".\"group_val\" AS \"std_Valence\",\n CASE\n WHEN \"r\".\"lo_rn\" = \"r\".\"hi_rn\" THEN \"lo\".\"measure_val\"\n ELSE \"lo\".\"measure_val\" + (\"hi\".\"measure_val\" - \"lo\".\"measure_val\") * \"r\".\"frac\"\n END AS \"percentile_measure\"\nFROM \"ranks\" AS \"r\"\nJOIN \"ordered\" AS \"lo\"\n ON \"lo\".\"group_val\" = \"r\".\"group_val\"\n AND \"lo\".\"rn\" = \"r\".\"lo_rn\"\nJOIN \"ordered\" AS \"hi\"\n ON \"hi\".\"group_val\" = \"r\".\"group_val\"\n AND \"hi\".\"rn\" = \"r\".\"hi_rn\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n CAST(\\\"std_Valence\\\" AS REAL) AS \\\"group_val\\\",\\n CAST(\\\"std_atomic_mass\\\" AS REAL) AS \\\"measure_val\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"std_Valence\\\" IS NOT NULL\\n AND \\\"std_atomic_mass\\\" IS NOT NULL\\n AND TRIM(\\\"std_Valence\\\") <> ''\\n AND TRIM(\\\"std_atomic_mass\\\") <> ''\\n),\\n\\\"ordered\\\" AS (\\n SELECT\\n \\\"group_val\\\",\\n \\\"measure_val\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"group_val\\\" ORDER BY \\\"measure_val\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"group_val\\\") AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"ranks\\\" AS (\\n SELECT DISTINCT\\n \\\"group_val\\\",\\n \\\"cnt\\\",\\n 1.0 + (\\\"cnt\\\" - 1) * 0.95 AS \\\"pos\\\",\\n CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.95) = CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INTEGER)\\n THEN CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INTEGER)\\n ELSE CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INTEGER) + 1\\n END AS \\\"hi_rn\\\",\\n (1.0 + (\\\"cnt\\\" - 1) * 0.95) - CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INTEGER) AS \\\"frac\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n)\\nSELECT\\n \\\"r\\\".\\\"group_val\\\" AS \\\"std_Valence\\\",\\n CASE\\n WHEN \\\"r\\\".\\\"lo_rn\\\" = \\\"r\\\".\\\"hi_rn\\\" THEN \\\"lo\\\".\\\"measure_val\\\"\\n ELSE \\\"lo\\\".\\\"measure_val\\\" + (\\\"hi\\\".\\\"measure_val\\\" - \\\"lo\\\".\\\"measure_val\\\") * \\\"r\\\".\\\"frac\\\"\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"ranks\\\" AS \\\"r\\\"\\nJOIN \\\"ordered\\\" AS \\\"lo\\\"\\n ON \\\"lo\\\".\\\"group_val\\\" = \\\"r\\\".\\\"group_val\\\"\\n AND \\\"lo\\\".\\\"rn\\\" = \\\"r\\\".\\\"lo_rn\\\"\\nJOIN \\\"ordered\\\" AS \\\"hi\\\"\\n ON \\\"hi\\\".\\\"group_val\\\" = \\\"r\\\".\\\"group_val\\\"\\n AND \\\"hi\\\".\\\"rn\\\" = \\\"r\\\".\\\"hi_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"std_Valence\", \"percentile_measure\"], \"rows\": [{\"std_Valence\": 2.0, \"percentile_measure\": 90.608909}, {\"std_Valence\": 2.5, \"percentile_measure\": 88.597409}, {\"std_Valence\": 2.05480466765633, \"percentile_measure\": 87.04557815031082}, {\"std_Valence\": 1.69967317119759, \"percentile_measure\": 86.0459524792938}, {\"std_Valence\": 1.70782512765993, \"percentile_measure\": 85.0808828819627}, {\"std_Valence\": 1.6393596310755, \"percentile_measure\": 82.91820557474576}, {\"std_Valence\": 1.46969384566991, \"percentile_measure\": 81.4468867756257}, {\"std_Valence\": 2.06155281280883, \"percentile_measure\": 81.0369197116978}, {\"std_Valence\": 0.897527467855751, \"percentile_measure\": 80.263999922838}, {\"std_Valence\": 1.92028643696715, \"percentile_measure\": 80.1831668040233}, {\"std_Valence\": 0.832993127835043, \"percentile_measure\": 79.97079373162}, {\"std_Valence\": 1.87082869338697, \"percentile_measure\": 78.74941701122096}, {\"std_Valence\": 2.16024689946929, \"percentile_measure\": 78.5345181999904}, {\"std_Valence\": 1.85472369909914, \"percentile_measure\": 78.4802090872555}, {\"std_Valence\": 1.29903810567666, \"percentile_measure\": 78.4774402327828}, {\"std_Valence\": 1.5, \"percentile_measure\": 78.47510777499997}, {\"std_Valence\": 1.26491106406735, \"percentile_measure\": 78.1249287039572}, {\"std_Valence\": 1.95078331845327, \"percentile_measure\": 78.03984522841219}, {\"std_Valence\": 1.80277563773199, \"percentile_measure\": 77.5676161068522}, {\"std_Valence\": 1.78535710713571, \"percentile_measure\": 77.14480828441532}, {\"std_Valence\": 1.29362644830535, \"percentile_measure\": 77.0761509206432}, {\"std_Valence\": 1.21335164821342, \"percentile_measure\": 76.8179962097786}, {\"std_Valence\": 2.35702260395516, \"percentile_measure\": 76.50197465520283}, {\"std_Valence\": 1.57790871674104, \"percentile_measure\": 76.4226709739983}, {\"std_Valence\": 1.63299316185545, \"percentile_measure\": 76.0549356236807}, {\"std_Valence\": 1.19522860933439, \"percentile_measure\": 75.907143875694}, {\"std_Valence\": 0.74535599249993, \"percentile_measure\": 75.5872352509925}, {\"std_Valence\": 1.4790199457749, \"percentile_measure\": 75.37437999682864}, {\"std_Valence\": 1.24721912892465, \"percentile_measure\": 75.16527567074942}, {\"std_Valence\": 0.372677996249965, \"percentile_measure\": 74.9934181311582}, {\"std_Valence\": 1.22474487139159, \"percentile_measure\": 74.0287548948557}, {\"std_Valence\": 1.35526185435788, \"percentile_measure\": 73.4947350610913}, {\"std_Valence\": 1.11803398874989, \"percentile_measure\": 73.4786150916607}, {\"std_Valence\": 1.4142135623731, \"percentile_measure\": 73.4518485742304}, {\"std_Valence\": 1.12485826771597, \"percentile_measure\": 73.32723245847312}, {\"std_Valence\": 1.16619037896906, \"percentile_measure\": 72.75745210962585}, {\"std_Valence\": 1.93907194296653, \"percentile_measure\": 72.6570345925632}, {\"std_Valence\": 1.16057691494799, \"percentile_measure\": 72.48038428043408}, {\"std_Valence\": 0.880630571852711, \"percentile_measure\": 72.44274988268018}, {\"std_Valence\": 0.942809041582063, \"percentile_measure\": 72.3641845497865}, {\"std_Valence\": 1.15470053837925, \"percentile_measure\": 71.7978260971645}, {\"std_Valence\": 1.60727512683216, \"percentile_measure\": 71.7343635864446}, {\"std_Valence\": 0.632455532033676, \"percentile_measure\": 71.5772511846718}, {\"std_Valence\": 1.04978131833565, \"percentile_measure\": 71.5295455844047}, {\"std_Valence\": 0.451753951452626, \"percentile_measure\": 71.42642308830108}, {\"std_Valence\": 1.86338998124982, \"percentile_measure\": 71.4142473848103}, {\"std_Valence\": 0.728431359084684, \"percentile_measure\": 71.25047161090707}, {\"std_Valence\": 1.05326872164704, \"percentile_measure\": 70.58766075737218}, {\"std_Valence\": 0.0, \"percentile_measure\": 70.3924962121674}, {\"std_Valence\": 0.5, \"percentile_measure\": 70.389375}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 145.18}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8a6c6c3b6fa87721e4e1ba817af284ca0297aa62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:04:50.512863+00:00", + "ended_at": "2026-05-19T16:05:41.482457+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_3d7c957aaf7c0a5f", + "problem_id": "v2p_n5_cc1012e4aa6d318e", + "dataset_id": "n5", + "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=std_Valence, measure_col=std_atomic_mass.", + "bindings": { + "group_col": "std_Valence", + "measure_col": "std_atomic_mass", + "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": 57.616794, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=1/2", + "binding_index=90" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 7, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3d7c957aaf7c0a5f.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_3d7c957aaf7c0a5f", + "api_calls": 0, + "input_tokens": 25614, + "cached_input_tokens": 12032, + "output_tokens": 3083, + "total_tokens": 28697, + "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": 49805.98, + "sql_execution_elapsed_ms_total": 145.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2bad6c794764ac4df1bcefe47ec60c16aefbac08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:04:53.399627+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": 2875.58, "started_at": "2026-05-19T16:04:50.522987+00:00", "ended_at": "2026-05-19T16:04:53.398814+00:00", "prompt_metrics": {"chars": 45001, "bytes_utf8": 45001, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fb-97ec-78d1-9a2e-7ebe2e55c0ee\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:05:41.333709+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": 46930.4, "started_at": "2026-05-19T16:04:54.401220+00:00", "ended_at": "2026-05-19T16:05:41.331659+00:00", "prompt_metrics": {"chars": 45001, "bytes_utf8": 45001, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 1940, "bytes_utf8": 1940, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25614, "cached_input_tokens": 12032, "output_tokens": 3083, "reasoning_output_tokens": 2388}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n CAST(\\\"std_Valence\\\" AS REAL) AS \\\"group_val\\\",\\n CAST(\\\"std_atomic_mass\\\" AS REAL) AS \\\"measure_val\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"std_Valence\\\" IS NOT NULL\\n AND \\\"std_atomic_mass\\\" IS NOT NULL\\n AND TRIM(\\\"std_Valence\\\") <> ''\\n AND TRIM(\\\"std_atomic_mass\\\") <> ''\\n),\\n\\\"ordered\\\" AS (\\n SELECT\\n \\\"group_val\\\",\\n \\\"measure_val\\\",\\n ROW_NUMBER() OVER (PARTITION BY \\\"group_val\\\" ORDER BY \\\"measure_val\\\") AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"group_val\\\") AS \\\"cnt\\\"\\n FROM \\\"base\\\"\\n),\\n\\\"ranks\\\" AS (\\n SELECT DISTINCT\\n \\\"group_val\\\",\\n \\\"cnt\\\",\\n 1.0 + (\\\"cnt\\\" - 1) * 0.95 AS \\\"pos\\\",\\n CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN (1.0 + (\\\"cnt\\\" - 1) * 0.95) = CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INTEGER)\\n THEN CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INTEGER)\\n ELSE CAST(1.0 + (\\\"cnt\\\" - 1) * 0.95 AS INTEGER) + 1\\n "} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3b4965ab198ee177c24469dd6fd87207154e3f1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_3d7c957aaf7c0a5f", + "api_calls": 0, + "input_tokens": 25614, + "cached_input_tokens": 12032, + "output_tokens": 3083, + "total_tokens": 28697, + "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": 49805.98, + "sql_execution_elapsed_ms_total": 145.18, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_3d7c957aaf7c0a5f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b71ec862da0f63b7661cb05868a93c9666f55be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/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=range_Valence, measure_col=wtd_entropy_atomic_radius. +Result preview: [{"range_Valence": "6", "wtd_range_atomic_radius": "37.5", "total_measure": 1.29281993272507, "share_within_group": 27.04685056641707}, {"range_Valence": "6", "wtd_range_atomic_radius": "38", "total_measure": 1.29163037374048, "share_within_group": 27.021964019356854}, {"range_Valence": "6", "wtd_range_atomic_radius": "26.7674418604651", "total_measure": 1.03258858948628, "share_within_group": 21.602597987141337}, {"range_Valence": "6", "wtd_range_atomic_radius": "91.5", "total_measure": 0.591483782451628, "share_within_group": 12.374324584172696}, {"range_Valence": "6", "wtd_range_atomic_radius": "71.6666666666667", "total_measure": 0.571405134449954, "share_within_group": 11.95426284291205}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..402e2d022786ded9f4588c26ed9aef31a7e98c2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_40006e0b5d9cfe18 +-- problem_id: v2p_n5_7312fcf513aa3433 +-- realization_mode: agent +-- source_kind: agent +SELECT + "range_Valence", + "wtd_range_atomic_radius", + SUM(CAST("wtd_entropy_atomic_radius" AS REAL)) AS total_measure, + SUM(CAST("wtd_entropy_atomic_radius" AS REAL)) * 100.0 / + SUM(SUM(CAST("wtd_entropy_atomic_radius" AS REAL))) OVER (PARTITION BY "range_Valence") AS share_within_group +FROM "n5" +WHERE "range_Valence" IS NOT NULL + AND "wtd_range_atomic_radius" IS NOT NULL + AND "wtd_entropy_atomic_radius" IS NOT NULL +GROUP BY "range_Valence", "wtd_range_atomic_radius" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..39f93ff326b94545cc03642e4cf7acec04b12d33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/query_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 \"range_Valence\",\n \"wtd_range_atomic_radius\",\n SUM(CAST(\"wtd_entropy_atomic_radius\" AS REAL)) AS total_measure,\n SUM(CAST(\"wtd_entropy_atomic_radius\" AS REAL)) * 100.0 /\n SUM(SUM(CAST(\"wtd_entropy_atomic_radius\" AS REAL))) OVER (PARTITION BY \"range_Valence\") AS share_within_group\nFROM \"n5\"\nWHERE \"range_Valence\" IS NOT NULL\n AND \"wtd_range_atomic_radius\" IS NOT NULL\n AND \"wtd_entropy_atomic_radius\" IS NOT NULL\nGROUP BY \"range_Valence\", \"wtd_range_atomic_radius\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"range_Valence\\\",\\n \\\"wtd_range_atomic_radius\\\",\\n SUM(CAST(\\\"wtd_entropy_atomic_radius\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"wtd_entropy_atomic_radius\\\" AS REAL)) * 100.0 /\\n SUM(SUM(CAST(\\\"wtd_entropy_atomic_radius\\\" AS REAL))) OVER (PARTITION BY \\\"range_Valence\\\") AS share_within_group\\nFROM \\\"n5\\\"\\nWHERE \\\"range_Valence\\\" IS NOT NULL\\n AND \\\"wtd_range_atomic_radius\\\" IS NOT NULL\\n AND \\\"wtd_entropy_atomic_radius\\\" IS NOT NULL\\nGROUP BY \\\"range_Valence\\\", \\\"wtd_range_atomic_radius\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"range_Valence\", \"wtd_range_atomic_radius\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"range_Valence\": \"6\", \"wtd_range_atomic_radius\": \"37.5\", \"total_measure\": 1.29281993272507, \"share_within_group\": 27.04685056641707}, {\"range_Valence\": \"6\", \"wtd_range_atomic_radius\": \"38\", \"total_measure\": 1.29163037374048, \"share_within_group\": 27.021964019356854}, {\"range_Valence\": \"6\", \"wtd_range_atomic_radius\": \"26.7674418604651\", \"total_measure\": 1.03258858948628, \"share_within_group\": 21.602597987141337}, {\"range_Valence\": \"6\", \"wtd_range_atomic_radius\": \"91.5\", \"total_measure\": 0.591483782451628, \"share_within_group\": 12.374324584172696}, {\"range_Valence\": \"6\", \"wtd_range_atomic_radius\": \"71.6666666666667\", \"total_measure\": 0.571405134449954, \"share_within_group\": 11.95426284291205}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"30.6\", \"total_measure\": 34.29346636474519, \"share_within_group\": 4.0446068752683315}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"34.8\", \"total_measure\": 33.57757053236933, \"share_within_group\": 3.9601733807126442}, {\"range_Valence\": \"0\", \"wtd_range_atomic_radius\": \"45.125\", \"total_measure\": 34.72783866979336, \"share_within_group\": 3.890393060865458}, {\"range_Valence\": \"0\", \"wtd_range_atomic_radius\": \"20.9375\", \"total_measure\": 34.44553786262466, \"share_within_group\": 3.8587682565772177}, {\"range_Valence\": \"2\", \"wtd_range_atomic_radius\": \"38.5\", \"total_measure\": 165.40939200707047, \"share_within_group\": 3.023015205044838}, {\"range_Valence\": \"0\", \"wtd_range_atomic_radius\": \"27.9166666666667\", \"total_measure\": 24.51035192049104, \"share_within_group\": 2.7457770677156885}, {\"range_Valence\": \"3\", \"wtd_range_atomic_radius\": \"16.2666666666667\", \"total_measure\": 130.57432705319118, \"share_within_group\": 2.463444616275334}, {\"range_Valence\": \"3\", \"wtd_range_atomic_radius\": \"48.75\", \"total_measure\": 123.89292333979829, \"share_within_group\": 2.3373917513793514}, {\"range_Valence\": \"4\", \"wtd_range_atomic_radius\": \"48.75\", \"total_measure\": 60.56096684668759, \"share_within_group\": 2.045435586379616}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"37\", \"total_measure\": 17.29670862307599, \"share_within_group\": 2.039991696153694}, {\"range_Valence\": \"1\", \"wtd_range_atomic_radius\": \"65.4285714285714\", \"total_measure\": 163.5602591812648, \"share_within_group\": 1.9078240297597584}, {\"range_Valence\": \"1\", \"wtd_range_atomic_radius\": \"22.6153846153846\", \"total_measure\": 147.37169627642, \"share_within_group\": 1.7189949739014387}, {\"range_Valence\": \"0\", \"wtd_range_atomic_radius\": \"50.8888888888889\", \"total_measure\": 14.842865707463208, \"share_within_group\": 1.6627749944571009}, {\"range_Valence\": \"2\", \"wtd_range_atomic_radius\": \"35.1230769230769\", \"total_measure\": 88.6152343075311, \"share_within_group\": 1.6195283560369214}, {\"range_Valence\": \"4\", \"wtd_range_atomic_radius\": \"18.5714285714286\", \"total_measure\": 46.779327996561086, \"share_within_group\": 1.5799632531184367}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"47.595\", \"total_measure\": 13.17864390880196, \"share_within_group\": 1.5543028865419735}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"57.925\", \"total_measure\": 12.87711534641041, \"share_within_group\": 1.5187402961765857}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"32.28\", \"total_measure\": 12.3396111919207, \"share_within_group\": 1.4553465005301556}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"26.4\", \"total_measure\": 12.16988621593647, \"share_within_group\": 1.4353289614027527}, {\"range_Valence\": \"0\", \"wtd_range_atomic_radius\": \"56\", \"total_measure\": 12.763909166620714, \"share_within_group\": 1.4298794728774784}, {\"range_Valence\": \"4\", \"wtd_range_atomic_radius\": \"47.7\", \"total_measure\": 37.73114141926285, \"share_within_group\": 1.2743624052280687}, {\"range_Valence\": \"1\", \"wtd_range_atomic_radius\": \"55.2857142857143\", \"total_measure\": 107.02260685062365, \"share_within_group\": 1.2483490922502722}, {\"range_Valence\": \"0\", \"wtd_range_atomic_radius\": \"46.15\", \"total_measure\": 11.12319267193062, \"share_within_group\": 1.246077879968621}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"50.345\", \"total_measure\": 10.26929366975399, \"share_within_group\": 1.2111711116942134}, {\"range_Valence\": \"4\", \"wtd_range_atomic_radius\": \"48.225\", \"total_measure\": 33.93119214408226, \"share_within_group\": 1.1460198129843167}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"29.51\", \"total_measure\": 9.634161250980961, \"share_within_group\": 1.1362629376311775}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"31.92\", \"total_measure\": 9.23789702374379, \"share_within_group\": 1.0895271250172034}, {\"range_Valence\": \"0\", \"wtd_range_atomic_radius\": \"12.25\", \"total_measure\": 9.596385640665549, \"share_within_group\": 1.0750370174435138}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"14.1111111111111\", \"total_measure\": 8.66784085245768, \"share_within_group\": 1.0222941108578874}, {\"range_Valence\": \"4\", \"wtd_range_atomic_radius\": \"55.7142857142857\", \"total_measure\": 29.6013924398318, \"share_within_group\": 0.9997816193407119}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"43.3333333333333\", \"total_measure\": 8.31503912429716, \"share_within_group\": 0.9806843103160695}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"38.68\", \"total_measure\": 8.05737595560153, \"share_within_group\": 0.9502952498307425}, {\"range_Valence\": \"0\", \"wtd_range_atomic_radius\": \"48.5454545454545\", \"total_measure\": 8.335915097400001, \"share_within_group\": 0.9338325531642291}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"4.90909090909091\", \"total_measure\": 7.6750196917718805, \"share_within_group\": 0.9051997567989518}, {\"range_Valence\": \"3\", \"wtd_range_atomic_radius\": \"55.7142857142857\", \"total_measure\": 47.22040937908216, \"share_within_group\": 0.8908708617416865}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"24.5\", \"total_measure\": 7.52340124924045, \"share_within_group\": 0.8873177209453081}, {\"range_Valence\": \"2\", \"wtd_range_atomic_radius\": \"65.4285714285714\", \"total_measure\": 48.29333666269358, \"share_within_group\": 0.8826070228674293}, {\"range_Valence\": \"4\", \"wtd_range_atomic_radius\": \"10.92\", \"total_measure\": 26.07780858028136, \"share_within_group\": 0.8807732184979254}, {\"range_Valence\": \"4\", \"wtd_range_atomic_radius\": \"37.1428571428571\", \"total_measure\": 25.16700733783525, \"share_within_group\": 0.850011073003547}, {\"range_Valence\": \"3\", \"wtd_range_atomic_radius\": \"39\", \"total_measure\": 43.56219206912481, \"share_within_group\": 0.8218541113531619}, {\"range_Valence\": \"0\", \"wtd_range_atomic_radius\": \"38.5063291139241\", \"total_measure\": 7.31901331003104, \"share_within_group\": 0.81991392739605}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"20.1875\", \"total_measure\": 6.85592419845964, \"share_within_group\": 0.8085947875457478}, {\"range_Valence\": \"5\", \"wtd_range_atomic_radius\": \"32.8\", \"total_measure\": 6.72026508203195, \"share_within_group\": 0.7925950111113558}, {\"range_Valence\": \"0\", \"wtd_range_atomic_radius\": \"105\", \"total_measure\": 6.956160813547855, \"share_within_group\": 0.7792653040291214}, {\"range_Valence\": \"4\", \"wtd_range_atomic_radius\": \"25.2894736842105\", \"total_measure\": 23.05763914972144, \"share_within_group\": 0.7787675479840801}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 80.13}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..99d67c050588e33c639df7c0f9f9295aa7e23a57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:38:02.191101+00:00", + "ended_at": "2026-05-19T15:38:17.402522+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_40006e0b5d9cfe18", + "problem_id": "v2p_n5_7312fcf513aa3433", + "dataset_id": "n5", + "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=range_Valence, measure_col=wtd_entropy_atomic_radius.", + "bindings": { + "group_col": "range_Valence", + "measure_col": "wtd_entropy_atomic_radius", + "item_col": "wtd_range_atomic_radius", + "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": 1.361712, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_40006e0b5d9cfe18.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_40006e0b5d9cfe18", + "api_calls": 0, + "input_tokens": 25700, + "cached_input_tokens": 24960, + "output_tokens": 750, + "total_tokens": 26450, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15117.01, + "sql_execution_elapsed_ms_total": 80.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d39e4fa0893f2a98cb11788822400c88f9fd45ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:17.319282+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15117.01, "started_at": "2026-05-19T15:38:02.201354+00:00", "ended_at": "2026-05-19T15:38:17.318396+00:00", "prompt_metrics": {"chars": 45267, "bytes_utf8": 45267, "lines": 1082, "estimated_tokens": null}, "response_metrics": {"chars": 842, "bytes_utf8": 842, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25700, "cached_input_tokens": 24960, "output_tokens": 750, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"range_Valence\\\",\\n \\\"wtd_range_atomic_radius\\\",\\n SUM(CAST(\\\"wtd_entropy_atomic_radius\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"wtd_entropy_atomic_radius\\\" AS REAL)) * 100.0 /\\n SUM(SUM(CAST(\\\"wtd_entropy_atomic_radius\\\" AS REAL))) OVER (PARTITION BY \\\"range_Valence\\\") AS share_within_group\\nFROM \\\"n5\\\"\\nWHERE \\\"range_Valence\\\" IS NOT NULL\\n AND \\\"wtd_range_atomic_radius\\\" IS NOT NULL\\n AND \\\"wtd_entropy_atomic_radius\\\" IS NOT NULL\\nGROUP BY \\\"range_Valence\\\", \\\"wtd_range_atomic_radius\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"range_Valence\\\", item_col=\\\"wtd_range_atomic_radius\\\", and measure_col=\\\"wtd_entropy_atomic_radius\\\". Cast the measure from TEXT to REAL for SQLite aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..99d72fb030e2ffc6cc823b7843e01f465643382b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_40006e0b5d9cfe18", + "api_calls": 0, + "input_tokens": 25700, + "cached_input_tokens": 24960, + "output_tokens": 750, + "total_tokens": 26450, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15117.01, + "sql_execution_elapsed_ms_total": 80.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_40006e0b5d9cfe18/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4116d6017b7ba9ec/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4116d6017b7ba9ec/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd1bc49c83891710cf871fb2464d05948708a7a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4116d6017b7ba9ec/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "2.21336383940064", "support": 1900, "support_share": 0.0893570991863801, "cumulative_support": 1900}, {"value_label": "2.1689435423954", "support": 1570, "support_share": 0.07383718195927197, "cumulative_support": 3470}, {"value_label": "2.49146187923103", "support": 927, "support_share": 0.043596858392512816, "cumulative_support": 4397}, {"value_label": "2.35215804504935", "support": 859, "support_share": 0.040398814842684476, "cumulative_support": 5256}, {"value_label": "2", "support": 603, "support_share": 0.028359121478624842, "cumulative_support": 5859}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4116d6017b7ba9ec/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4116d6017b7ba9ec/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..009ced3ededb30054b1617d2a52ef19683e7ec07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4116d6017b7ba9ec/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_4116d6017b7ba9ec +-- problem_id: v2p_n5_22ca989f0da62561 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "gmean_Valence" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "gmean_Valence" +), 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_c/n5/artifacts/v2q_n5_4116d6017b7ba9ec/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4116d6017b7ba9ec/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0c3cb41fee142a2855549d2fcc1ec9015599d21a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4116d6017b7ba9ec/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_c\n-- sql_source_dataset_id: n5\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_n5_4116d6017b7ba9ec\n-- problem_id: v2p_n5_22ca989f0da62561\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"gmean_Valence\" AS value_label, COUNT(*) AS support\n FROM \"n5\"\n GROUP BY \"gmean_Valence\"\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_c\\n-- sql_source_dataset_id: n5\\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_n5_4116d6017b7ba9ec\\n-- problem_id: v2p_n5_22ca989f0da62561\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"gmean_Valence\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n5\\\"\\n GROUP BY \\\"gmean_Valence\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"2.21336383940064\", \"support\": 1900, \"support_share\": 0.0893570991863801, \"cumulative_support\": 1900}, {\"value_label\": \"2.1689435423954\", \"support\": 1570, \"support_share\": 0.07383718195927197, \"cumulative_support\": 3470}, {\"value_label\": \"2.49146187923103\", \"support\": 927, \"support_share\": 0.043596858392512816, \"cumulative_support\": 4397}, {\"value_label\": \"2.35215804504935\", \"support\": 859, \"support_share\": 0.040398814842684476, \"cumulative_support\": 5256}, {\"value_label\": \"2\", \"support\": 603, \"support_share\": 0.028359121478624842, \"cumulative_support\": 5859}, {\"value_label\": \"2.28942848510666\", \"support\": 565, \"support_share\": 0.02657197949489724, \"cumulative_support\": 6424}, {\"value_label\": \"2.40187391035201\", \"support\": 481, \"support_share\": 0.022621455109815173, \"cumulative_support\": 6905}, {\"value_label\": \"4.47213595499958\", \"support\": 477, \"support_share\": 0.02243333490100174, \"cumulative_support\": 7382}, {\"value_label\": \"3.91486764116886\", \"support\": 444, \"support_share\": 0.020881343178290927, \"cumulative_support\": 7826}, {\"value_label\": \"2.88449914061482\", \"support\": 406, \"support_share\": 0.019094201194563325, \"cumulative_support\": 8232}, {\"value_label\": \"4.16016764610381\", \"support\": 402, \"support_share\": 0.018906080985749894, \"cumulative_support\": 8634}, {\"value_label\": \"2.40224886796286\", \"support\": 387, \"support_share\": 0.018200630202699526, \"cumulative_support\": 9021}, {\"value_label\": \"4.89897948556636\", \"support\": 383, \"support_share\": 0.018012509993886094, \"cumulative_support\": 9404}, {\"value_label\": \"3.46410161513775\", \"support\": 375, \"support_share\": 0.01763626957625923, \"cumulative_support\": 9779}, {\"value_label\": \"5.47722557505166\", \"support\": 353, \"support_share\": 0.016601608427785356, \"cumulative_support\": 10132}, {\"value_label\": \"2.49288287167843\", \"support\": 327, \"support_share\": 0.015378827070498048, \"cumulative_support\": 10459}, {\"value_label\": \"6\", \"support\": 319, \"support_share\": 0.015002586652871184, \"cumulative_support\": 10778}, {\"value_label\": \"3.87298334620742\", \"support\": 315, \"support_share\": 0.014814466444057752, \"cumulative_support\": 11093}, {\"value_label\": \"2.60517108469735\", \"support\": 284, \"support_share\": 0.013356534825753656, \"cumulative_support\": 11377}, {\"value_label\": \"2.70192007704123\", \"support\": 271, \"support_share\": 0.012745144147110003, \"cumulative_support\": 11648}, {\"value_label\": \"2.13982638786733\", \"support\": 263, \"support_share\": 0.01236890372948314, \"cumulative_support\": 11911}, {\"value_label\": \"3\", \"support\": 252, \"support_share\": 0.011851573155246202, \"cumulative_support\": 12163}, {\"value_label\": \"2.61532097202366\", \"support\": 250, \"support_share\": 0.011757513050839486, \"cumulative_support\": 12413}, {\"value_label\": \"4.24264068711928\", \"support\": 243, \"support_share\": 0.01142830268541598, \"cumulative_support\": 12656}, {\"value_label\": \"2.82842712474619\", \"support\": 226, \"support_share\": 0.010628791797958895, \"cumulative_support\": 12882}, {\"value_label\": \"3.63424118566428\", \"support\": 215, \"support_share\": 0.010111461223721958, \"cumulative_support\": 13097}, {\"value_label\": \"4.93242414866094\", \"support\": 211, \"support_share\": 0.009923341014908526, \"cumulative_support\": 13308}, {\"value_label\": \"4\", \"support\": 189, \"support_share\": 0.008888679866434651, \"cumulative_support\": 13497}, {\"value_label\": \"5\", \"support\": 182, \"support_share\": 0.008559469501011146, \"cumulative_support\": 13679}, {\"value_label\": \"2.45950948584936\", \"support\": 180, \"support_share\": 0.00846540939660443, \"cumulative_support\": 13859}, {\"value_label\": \"3.30975091964687\", \"support\": 176, \"support_share\": 0.008277289187790998, \"cumulative_support\": 14035}, {\"value_label\": \"1.8881750225898\", \"support\": 172, \"support_share\": 0.008089168978977566, \"cumulative_support\": 14207}, {\"value_label\": \"2.44948974278318\", \"support\": 172, \"support_share\": 0.008089168978977566, \"cumulative_support\": 14379}, {\"value_label\": \"4.7622031559046\", \"support\": 170, \"support_share\": 0.00799510887457085, \"cumulative_support\": 14549}, {\"value_label\": \"2.63214802590498\", \"support\": 167, \"support_share\": 0.007854018717960777, \"cumulative_support\": 14716}, {\"value_label\": \"2.78315768371374\", \"support\": 161, \"support_share\": 0.007571838404740629, \"cumulative_support\": 14877}, {\"value_label\": \"3.30192724889463\", \"support\": 161, \"support_share\": 0.007571838404740629, \"cumulative_support\": 15038}, {\"value_label\": \"2.93015605158352\", \"support\": 154, \"support_share\": 0.007242628039317123, \"cumulative_support\": 15192}, {\"value_label\": \"2.6207413942089\", \"support\": 151, \"support_share\": 0.00710153788270705, \"cumulative_support\": 15343}, {\"value_label\": \"2.34034731932072\", \"support\": 147, \"support_share\": 0.006913417673893618, \"cumulative_support\": 15490}, {\"value_label\": \"4.11953428781424\", \"support\": 147, \"support_share\": 0.006913417673893618, \"cumulative_support\": 15637}, {\"value_label\": \"2.91295063024394\", \"support\": 139, \"support_share\": 0.006537177256266754, \"cumulative_support\": 15776}, {\"value_label\": \"2.66709661118172\", \"support\": 138, \"support_share\": 0.006490147204063396, \"cumulative_support\": 15914}, {\"value_label\": \"4.30886938006377\", \"support\": 136, \"support_share\": 0.00639608709965668, \"cumulative_support\": 16050}, {\"value_label\": \"4.64158883361278\", \"support\": 129, \"support_share\": 0.006066876734233175, \"cumulative_support\": 16179}, {\"value_label\": \"2.79816641433953\", \"support\": 124, \"support_share\": 0.005831726473216385, \"cumulative_support\": 16303}, {\"value_label\": \"4.48140474655716\", \"support\": 117, \"support_share\": 0.0055025161077928795, \"cumulative_support\": 16420}, {\"value_label\": \"2.11474252688113\", \"support\": 116, \"support_share\": 0.0054554860555895215, \"cumulative_support\": 16536}, {\"value_label\": \"2.33986162551737\", \"support\": 109, \"support_share\": 0.005126275690166016, \"cumulative_support\": 16645}, {\"value_label\": \"4.57885697021333\", \"support\": 108, \"support_share\": 0.005079245637962658, \"cumulative_support\": 16753}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 16.0}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4116d6017b7ba9ec/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4116d6017b7ba9ec/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5fa1d4371d4d483203c63f4033014af560ad9d47 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4116d6017b7ba9ec/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:15:36.652538+00:00", + "ended_at": "2026-05-19T16:15:36.669466+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_4116d6017b7ba9ec", + "problem_id": "v2p_n5_22ca989f0da62561", + "dataset_id": "n5", + "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=gmean_Valence.", + "bindings": { + "group_col": "gmean_Valence" + }, + "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_c/n5/sql/v2q_n5_4116d6017b7ba9ec.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_c/n5/artifacts/v2q_n5_4116d6017b7ba9ec/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4116d6017b7ba9ec/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4116d6017b7ba9ec/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_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..460e15b654fc04e5a5bf643e29a443ccd3c17e90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/final_answer.txt @@ -0,0 +1 @@ +No rows were returned for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=entropy_Valence, measure_col=number_of_elements. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..25192a2f402a093fff873e58870d5f3144a5f447 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/generated_sql.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_4f7394e1a6d7ce66 +-- problem_id: v2p_n5_84e888380139bbf1 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + CAST("entropy_Valence" AS REAL) AS "entropy_Valence", + SUM(CAST("number_of_elements" AS REAL)) AS "group_value" + FROM "n5" + WHERE "entropy_Valence" IS NOT NULL + AND TRIM("entropy_Valence") <> '' + AND "number_of_elements" IS NOT NULL + AND TRIM("number_of_elements") <> '' + GROUP BY CAST("entropy_Valence" AS REAL) +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT g."entropy_Valence", 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_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b3cf0b128d64836326332351fd84a3ae8bbfdb16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n CAST(\"entropy_Valence\" AS REAL) AS \"entropy_Valence\",\n SUM(CAST(\"number_of_elements\" AS REAL)) AS \"group_value\"\n FROM \"n5\"\n WHERE \"entropy_Valence\" IS NOT NULL\n AND TRIM(\"entropy_Valence\") <> ''\n AND \"number_of_elements\" IS NOT NULL\n AND TRIM(\"number_of_elements\") <> ''\n GROUP BY CAST(\"entropy_Valence\" AS REAL)\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT g.\"entropy_Valence\", g.\"group_value\"\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n CAST(\\\"entropy_Valence\\\" AS REAL) AS \\\"entropy_Valence\\\",\\n SUM(CAST(\\\"number_of_elements\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"entropy_Valence\\\" IS NOT NULL\\n AND TRIM(\\\"entropy_Valence\\\") <> ''\\n AND \\\"number_of_elements\\\" IS NOT NULL\\n AND TRIM(\\\"number_of_elements\\\") <> ''\\n GROUP BY CAST(\\\"entropy_Valence\\\" AS REAL)\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"entropy_Valence\\\", 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\": [\"entropy_Valence\", \"group_value\"], \"rows\": [], \"row_count_returned\": 0, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 29.92}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..449ab3c4c60e3e672a77c45847f8046c7b0a70a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:56:33.022906+00:00", + "ended_at": "2026-05-19T15:56:50.798369+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_4f7394e1a6d7ce66", + "problem_id": "v2p_n5_84e888380139bbf1", + "dataset_id": "n5", + "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=entropy_Valence, measure_col=number_of_elements.", + "bindings": { + "group_col": "entropy_Valence", + "measure_col": "number_of_elements", + "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": 5.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=81" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_4f7394e1a6d7ce66.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_4f7394e1a6d7ce66", + "api_calls": 0, + "input_tokens": 25713, + "cached_input_tokens": 12032, + "output_tokens": 1014, + "total_tokens": 26727, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17731.47, + "sql_execution_elapsed_ms_total": 29.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..615a558040114c31d8d6ef54af39f6b3d8d131a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:56:50.766797+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17731.47, "started_at": "2026-05-19T15:56:33.034350+00:00", "ended_at": "2026-05-19T15:56:50.765850+00:00", "prompt_metrics": {"chars": 45385, "bytes_utf8": 45385, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 956, "bytes_utf8": 956, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25713, "cached_input_tokens": 12032, "output_tokens": 1014, "reasoning_output_tokens": 757}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n CAST(\\\"entropy_Valence\\\" AS REAL) AS \\\"entropy_Valence\\\",\\n SUM(CAST(\\\"number_of_elements\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"entropy_Valence\\\" IS NOT NULL\\n AND TRIM(\\\"entropy_Valence\\\") <> ''\\n AND \\\"number_of_elements\\\" IS NOT NULL\\n AND TRIM(\\\"number_of_elements\\\") <> ''\\n GROUP BY CAST(\\\"entropy_Valence\\\" AS REAL)\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"entropy_Valence\\\", g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Uses the requested relative-to-total threshold template with group_col=\\\"entropy_Valence\\\" and measure_col=\\\"number_of_elements\\\", casting both TEXT-backed numeric fields to REAL and filtering null/blank values.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f3bf469d2eb1f2dab7473326750429291a626c31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_4f7394e1a6d7ce66", + "api_calls": 0, + "input_tokens": 25713, + "cached_input_tokens": 12032, + "output_tokens": 1014, + "total_tokens": 26727, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17731.47, + "sql_execution_elapsed_ms_total": 29.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_4f7394e1a6d7ce66/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_568e5abb2368b465/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_568e5abb2368b465/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..afaa80f891b1b2b28db5446172472541bffb62ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_568e5abb2368b465/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:12:00.291089+00:00", + "ended_at": "2026-05-19T16:12:07.948124+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_568e5abb2368b465", + "problem_id": "v2p_n5_c5679561e90fc290", + "dataset_id": "n5", + "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=entropy_Valence.", + "bindings": { + "group_col": "entropy_Valence", + "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": 112.106667, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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", + "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_c/n5/artifacts/v2q_n5_568e5abb2368b465/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_568e5abb2368b465/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..71c786920b1c040ba933d26bb92a5f4b70e78275 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_568e5abb2368b465/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:12:03.684335+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": 3380.0, "started_at": "2026-05-19T16:12:00.303417+00:00", "ended_at": "2026-05-19T16:12:03.683445+00:00", "prompt_metrics": {"chars": 44806, "bytes_utf8": 44806, "lines": 1078, "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\":\"019e4102-26c0-74a1-b7fd-57c127bd24dc\"}\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": "2026-05-19T16:12:07.948024+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": 3261.26, "started_at": "2026-05-19T16:12:04.685846+00:00", "ended_at": "2026-05-19T16:12:07.947137+00:00", "prompt_metrics": {"chars": 44806, "bytes_utf8": 44806, "lines": 1078, "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\":\"019e4102-37c8-7f23-87b9-861082431599\"}\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_c/n5/artifacts/v2q_n5_56f82537398762e2/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..da881eee8da2e018cc1334de190280010a1a4a4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/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=range_Valence. +Result preview: [{"range_Valence": 1.0, "row_count": 7387}, {"range_Valence": 2.0, "row_count": 5131}, {"range_Valence": 3.0, "row_count": 4335}, {"range_Valence": 4.0, "row_count": 2321}, {"range_Valence": 0.0, "row_count": 1398}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..af81f7292fd3b70b52ecb0843c653bf67b9e3ee8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_56f82537398762e2 +-- problem_id: v2p_n5_d4ffd397a1f21960 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("range_Valence" AS REAL) AS "range_Valence", COUNT(*) AS "row_count" +FROM "n5" +GROUP BY CAST("range_Valence" AS REAL) +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d28068b3e8ffcf8a6eb5cb11d13dc4560d4d9a07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/query_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 CAST(\"range_Valence\" AS REAL) AS \"range_Valence\", COUNT(*) AS \"row_count\"\nFROM \"n5\"\nGROUP BY CAST(\"range_Valence\" AS REAL)\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT CAST(\\\"range_Valence\\\" AS REAL) AS \\\"range_Valence\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n5\\\"\\nGROUP BY CAST(\\\"range_Valence\\\" AS REAL)\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"range_Valence\", \"row_count\"], \"rows\": [{\"range_Valence\": 1.0, \"row_count\": 7387}, {\"range_Valence\": 2.0, \"row_count\": 5131}, {\"range_Valence\": 3.0, \"row_count\": 4335}, {\"range_Valence\": 4.0, \"row_count\": 2321}, {\"range_Valence\": 0.0, \"row_count\": 1398}, {\"range_Valence\": 5.0, \"row_count\": 686}, {\"range_Valence\": 6.0, \"row_count\": 5}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 20.73}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..bc0ccf122deffbc0162a5ba76ba6bdad0eac43c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:34:37.535450+00:00", + "ended_at": "2026-05-19T15:34:53.814826+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_56f82537398762e2", + "problem_id": "v2p_n5_d4ffd397a1f21960", + "dataset_id": "n5", + "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=range_Valence.", + "bindings": { + "group_col": "range_Valence", + "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": 1010.928714, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=12" + ], + "template_selection_mode": "rule", + "selected_template_rank": 2, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_56f82537398762e2.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_56f82537398762e2", + "api_calls": 0, + "input_tokens": 25548, + "cached_input_tokens": 12032, + "output_tokens": 597, + "total_tokens": 26145, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16243.63, + "sql_execution_elapsed_ms_total": 20.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..52797316ff17d2f9be499eee4bb314f3015326ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:34:53.792748+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16243.63, "started_at": "2026-05-19T15:34:37.548206+00:00", "ended_at": "2026-05-19T15:34:53.791868+00:00", "prompt_metrics": {"chars": 44724, "bytes_utf8": 44724, "lines": 1078, "estimated_tokens": null}, "response_metrics": {"chars": 417, "bytes_utf8": 417, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25548, "cached_input_tokens": 12032, "output_tokens": 597, "reasoning_output_tokens": 483}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT CAST(\\\"range_Valence\\\" AS REAL) AS \\\"range_Valence\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n5\\\"\\nGROUP BY CAST(\\\"range_Valence\\\" AS REAL)\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the grouped count template with \\\"range_Valence\\\" as the grouping column. The field is stored as TEXT in SQLite, so it is cast to REAL to group numeric categories consistently.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..912af1afa0dd47278347c504176df594dbe242d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_56f82537398762e2", + "api_calls": 0, + "input_tokens": 25548, + "cached_input_tokens": 12032, + "output_tokens": 597, + "total_tokens": 26145, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16243.63, + "sql_execution_elapsed_ms_total": 20.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_56f82537398762e2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_57dd762196e69426/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_57dd762196e69426/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..20574cf4d6e19703fcc78788c0c94fd0dda817f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_57dd762196e69426/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:15:21.394248+00:00", + "ended_at": "2026-05-19T16:15:28.909454+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_57dd762196e69426", + "problem_id": "v2p_n5_fedd9669244d34e2", + "dataset_id": "n5", + "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=number_of_elements, measure_col=std_FusionHeat.", + "bindings": { + "group_col": "number_of_elements", + "measure_col": "std_FusionHeat", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.948155, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=140" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_57dd762196e69426/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_57dd762196e69426/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..48999774f6dc2c2b88b8d01189c5b8cd615a40a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_57dd762196e69426/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:15:24.972759+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": 3564.97, "started_at": "2026-05-19T16:15:21.406916+00:00", "ended_at": "2026-05-19T16:15:24.971911+00:00", "prompt_metrics": {"chars": 44919, "bytes_utf8": 44919, "lines": 1080, "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\":\"019e4105-3850-7d83-a3c9-cb051a64ac26\"}\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": "2026-05-19T16:15:28.909263+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": 2933.19, "started_at": "2026-05-19T16:15:25.974323+00:00", "ended_at": "2026-05-19T16:15:28.907561+00:00", "prompt_metrics": {"chars": 44919, "bytes_utf8": 44919, "lines": 1080, "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\":\"019e4105-4a09-7252-b3e8-9b26f2339815\"}\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_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d663321c524a1bd9526163d2d253fdc5071bebda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/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=mean_Valence, group_col_2=std_Valence. +Result preview: [{"mean_Valence": 2.2, "std_Valence": 0.4, "row_count": 1204}, {"mean_Valence": 2.25, "std_Valence": 0.433012701892219, "row_count": 871}, {"mean_Valence": 2.4, "std_Valence": 0.489897948556636, "row_count": 741}, {"mean_Valence": 2.6, "std_Valence": 0.8, "row_count": 700}, {"mean_Valence": 2.5, "std_Valence": 0.763762615825973, "row_count": 449}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3570f7af65d7967b2c020df16af5c09e78293744 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_58d0e4891100b3a0 +-- problem_id: v2p_n5_a5f6cf55914fb21c +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("mean_Valence" AS REAL) AS "mean_Valence", CAST("std_Valence" AS REAL) AS "std_Valence", COUNT(*) AS "row_count" +FROM "n5" +WHERE CAST("wtd_entropy_FusionHeat" AS REAL) >= 1.025693 +GROUP BY CAST("mean_Valence" AS REAL), CAST("std_Valence" AS REAL) +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9966567630d81c45bbc9f9be672eedc0f34e01c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/query_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 CAST(\"mean_Valence\" AS REAL) AS \"mean_Valence\", CAST(\"std_Valence\" AS REAL) AS \"std_Valence\", COUNT(*) AS \"row_count\"\nFROM \"n5\"\nWHERE CAST(\"wtd_entropy_FusionHeat\" AS REAL) >= 1.025693\nGROUP BY CAST(\"mean_Valence\" AS REAL), CAST(\"std_Valence\" AS REAL)\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT CAST(\\\"mean_Valence\\\" AS REAL) AS \\\"mean_Valence\\\", CAST(\\\"std_Valence\\\" AS REAL) AS \\\"std_Valence\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n5\\\"\\nWHERE CAST(\\\"wtd_entropy_FusionHeat\\\" AS REAL) >= 1.025693\\nGROUP BY CAST(\\\"mean_Valence\\\" AS REAL), CAST(\\\"std_Valence\\\" AS REAL)\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"mean_Valence\", \"std_Valence\", \"row_count\"], \"rows\": [{\"mean_Valence\": 2.2, \"std_Valence\": 0.4, \"row_count\": 1204}, {\"mean_Valence\": 2.25, \"std_Valence\": 0.433012701892219, \"row_count\": 871}, {\"mean_Valence\": 2.4, \"std_Valence\": 0.489897948556636, \"row_count\": 741}, {\"mean_Valence\": 2.6, \"std_Valence\": 0.8, \"row_count\": 700}, {\"mean_Valence\": 2.5, \"std_Valence\": 0.763762615825973, \"row_count\": 449}, {\"mean_Valence\": 2.33333333333333, \"std_Valence\": 0.471404520791032, \"row_count\": 364}, {\"mean_Valence\": 2.6, \"std_Valence\": 1.2, \"row_count\": 340}, {\"mean_Valence\": 2.66666666666667, \"std_Valence\": 1.10554159678513, \"row_count\": 325}, {\"mean_Valence\": 2.83333333333333, \"std_Valence\": 1.21335164821342, \"row_count\": 260}, {\"mean_Valence\": 2.16666666666667, \"std_Valence\": 0.372677996249965, \"row_count\": 251}, {\"mean_Valence\": 2.8, \"std_Valence\": 1.16619037896906, \"row_count\": 213}, {\"mean_Valence\": 3.0, \"std_Valence\": 1.54919333848297, \"row_count\": 161}, {\"mean_Valence\": 3.0, \"std_Valence\": 0.632455532033676, \"row_count\": 152}, {\"mean_Valence\": 3.16666666666667, \"std_Valence\": 1.46249406456535, \"row_count\": 145}, {\"mean_Valence\": 2.0, \"std_Valence\": 0.0, \"row_count\": 144}, {\"mean_Valence\": 2.85714285714286, \"std_Valence\": 1.12485826771597, \"row_count\": 134}, {\"mean_Valence\": 3.0, \"std_Valence\": 1.15470053837925, \"row_count\": 117}, {\"mean_Valence\": 2.42857142857143, \"std_Valence\": 0.728431359084684, \"row_count\": 109}, {\"mean_Valence\": 2.0, \"std_Valence\": 0.632455532033676, \"row_count\": 102}, {\"mean_Valence\": 3.0, \"std_Valence\": 0.707106781186548, \"row_count\": 99}, {\"mean_Valence\": 2.8, \"std_Valence\": 0.748331477354788, \"row_count\": 92}, {\"mean_Valence\": 2.28571428571429, \"std_Valence\": 0.451753951452626, \"row_count\": 75}, {\"mean_Valence\": 3.0, \"std_Valence\": 1.4142135623731, \"row_count\": 73}, {\"mean_Valence\": 3.2, \"std_Valence\": 0.748331477354788, \"row_count\": 71}, {\"mean_Valence\": 2.5, \"std_Valence\": 1.11803398874989, \"row_count\": 68}, {\"mean_Valence\": 4.0, \"std_Valence\": 1.58113883008419, \"row_count\": 65}, {\"mean_Valence\": 3.4, \"std_Valence\": 1.85472369909914, \"row_count\": 63}, {\"mean_Valence\": 3.33333333333333, \"std_Valence\": 1.69967317119759, \"row_count\": 58}, {\"mean_Valence\": 1.8, \"std_Valence\": 0.4, \"row_count\": 56}, {\"mean_Valence\": 2.4, \"std_Valence\": 0.8, \"row_count\": 56}, {\"mean_Valence\": 2.57142857142857, \"std_Valence\": 1.04978131833565, \"row_count\": 56}, {\"mean_Valence\": 2.75, \"std_Valence\": 1.29903810567666, \"row_count\": 55}, {\"mean_Valence\": 2.33333333333333, \"std_Valence\": 1.24721912892465, \"row_count\": 52}, {\"mean_Valence\": 3.8, \"std_Valence\": 1.46969384566991, \"row_count\": 48}, {\"mean_Valence\": 2.83333333333333, \"std_Valence\": 1.46249406456535, \"row_count\": 45}, {\"mean_Valence\": 2.4, \"std_Valence\": 1.35646599662505, \"row_count\": 43}, {\"mean_Valence\": 2.57142857142857, \"std_Valence\": 0.728431359084684, \"row_count\": 43}, {\"mean_Valence\": 3.0, \"std_Valence\": 1.26491106406735, \"row_count\": 42}, {\"mean_Valence\": 3.5, \"std_Valence\": 0.5, \"row_count\": 42}, {\"mean_Valence\": 3.14285714285714, \"std_Valence\": 1.35526185435788, \"row_count\": 41}, {\"mean_Valence\": 2.33333333333333, \"std_Valence\": 0.74535599249993, \"row_count\": 37}, {\"mean_Valence\": 4.25, \"std_Valence\": 1.08972473588517, \"row_count\": 37}, {\"mean_Valence\": 2.8, \"std_Valence\": 1.6, \"row_count\": 36}, {\"mean_Valence\": 2.66666666666667, \"std_Valence\": 0.74535599249993, \"row_count\": 35}, {\"mean_Valence\": 3.14285714285714, \"std_Valence\": 1.12485826771597, \"row_count\": 35}, {\"mean_Valence\": 3.4, \"std_Valence\": 1.01980390271856, \"row_count\": 34}, {\"mean_Valence\": 4.33333333333333, \"std_Valence\": 1.24721912892465, \"row_count\": 32}, {\"mean_Valence\": 3.0, \"std_Valence\": 0.894427190999916, \"row_count\": 31}, {\"mean_Valence\": 3.5, \"std_Valence\": 1.70782512765993, \"row_count\": 31}, {\"mean_Valence\": 3.0, \"std_Valence\": 1.19522860933439, \"row_count\": 30}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 39.93}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..93e3deed0fff0cfd2ed3eb0a7c3b6b28a315984d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:50:17.364320+00:00", + "ended_at": "2026-05-19T15:50:34.660756+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_58d0e4891100b3a0", + "problem_id": "v2p_n5_a5f6cf55914fb21c", + "dataset_id": "n5", + "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=mean_Valence, group_col_2=std_Valence.", + "bindings": { + "group_col": "mean_Valence", + "group_col_2": "std_Valence", + "predicate_col": "wtd_entropy_FusionHeat", + "predicate_op": ">=", + "predicate_value": 1.025693, + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1.025693, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=56" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_58d0e4891100b3a0.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_58d0e4891100b3a0", + "api_calls": 0, + "input_tokens": 25678, + "cached_input_tokens": 12032, + "output_tokens": 696, + "total_tokens": 26374, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17238.77, + "sql_execution_elapsed_ms_total": 39.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f609f78c45bfc92c85fb774d239e4beceffea792 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:34.618343+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17238.77, "started_at": "2026-05-19T15:50:17.377923+00:00", "ended_at": "2026-05-19T15:50:34.616728+00:00", "prompt_metrics": {"chars": 45144, "bytes_utf8": 45144, "lines": 1084, "estimated_tokens": null}, "response_metrics": {"chars": 642, "bytes_utf8": 642, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25678, "cached_input_tokens": 12032, "output_tokens": 696, "reasoning_output_tokens": 512}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT CAST(\\\"mean_Valence\\\" AS REAL) AS \\\"mean_Valence\\\", CAST(\\\"std_Valence\\\" AS REAL) AS \\\"std_Valence\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n5\\\"\\nWHERE CAST(\\\"wtd_entropy_FusionHeat\\\" AS REAL) >= 1.025693\\nGROUP BY CAST(\\\"mean_Valence\\\" AS REAL), CAST(\\\"std_Valence\\\" AS REAL)\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the planned filtered two-dimensional group-count template with group_col=\\\"mean_Valence\\\", group_col_2=\\\"std_Valence\\\", and predicate on \\\"wtd_entropy_FusionHeat\\\". Cast numeric-like TEXT columns to REAL so filtering and grouping behave numerically in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a696cabf28ab5360220719d31dc73f15f02a8d0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_58d0e4891100b3a0", + "api_calls": 0, + "input_tokens": 25678, + "cached_input_tokens": 12032, + "output_tokens": 696, + "total_tokens": 26374, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17238.77, + "sql_execution_elapsed_ms_total": 39.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58d0e4891100b3a0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf69320bcf12bd1375b74f94f36c02e5f5f0c463 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/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=entropy_Valence, measure_col=range_atomic_mass. +Result preview: [{"entropy_Valence": 2.09985614296159, "percentile_measure": 207.97246}, {"entropy_Valence": 1.6681739719974, "percentile_measure": 202.0394}, {"entropy_Valence": 1.87345173755457, "percentile_measure": 198.28731}, {"entropy_Valence": 1.71831121419332, "percentile_measure": 196.9697}, {"entropy_Valence": 2.01412252922487, "percentile_measure": 196.81813}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..665e609a857dbc07f3e76e0f7ae2d4b183d13f64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/generated_sql.sql @@ -0,0 +1,62 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_58fe730f379a246d +-- problem_id: v2p_n5_9e95b10ab9494547 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + CAST("entropy_Valence" AS REAL) AS "group_col", + CAST("range_atomic_mass" AS REAL) AS "measure", + ROW_NUMBER() OVER ( + PARTITION BY CAST("entropy_Valence" AS REAL) + ORDER BY CAST("range_atomic_mass" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY CAST("entropy_Valence" AS REAL) + ) AS "cnt" + FROM "n5" + WHERE "entropy_Valence" IS NOT NULL + AND "range_atomic_mass" IS NOT NULL + AND TRIM("entropy_Valence") <> '' + AND TRIM("range_atomic_mass") <> '' +), +"bounds" AS ( + SELECT DISTINCT + "group_col", + "cnt", + 1 + CAST((9 * ("cnt" - 1)) / 10 AS INTEGER) AS "frn", + 1 + CAST((9 * ("cnt" - 1)) / 10 AS INTEGER) + + CASE WHEN ((9 * ("cnt" - 1)) % 10) = 0 THEN 0 ELSE 1 END AS "crn", + ((9 * ("cnt" - 1)) % 10) / 10.0 AS "interp" + FROM "ranked" + WHERE "cnt" >= 5 +), +"picked" AS ( + SELECT + b."group_col", + b."frn", + b."crn", + b."interp", + MAX(CASE WHEN r."rn" = b."frn" THEN r."measure" END) AS "lower_value", + MAX(CASE WHEN r."rn" = b."crn" THEN r."measure" END) AS "upper_value" + FROM "bounds" AS b + JOIN "ranked" AS r + ON r."group_col" = b."group_col" + GROUP BY b."group_col", b."frn", b."crn", b."interp" +) +SELECT + "group_col" AS "entropy_Valence", + CASE + WHEN "frn" = "crn" THEN "lower_value" + ELSE "lower_value" + ("upper_value" - "lower_value") * "interp" + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7192a03f8aa7bfdd7fe98f2b3637643d375343e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n CAST(\"entropy_Valence\" AS REAL) AS \"group_col\",\n CAST(\"range_atomic_mass\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY CAST(\"entropy_Valence\" AS REAL)\n ORDER BY CAST(\"range_atomic_mass\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY CAST(\"entropy_Valence\" AS REAL)\n ) AS \"cnt\"\n FROM \"n5\"\n WHERE \"entropy_Valence\" IS NOT NULL\n AND \"range_atomic_mass\" IS NOT NULL\n AND TRIM(\"entropy_Valence\") <> ''\n AND TRIM(\"range_atomic_mass\") <> ''\n),\n\"bounds\" AS (\n SELECT DISTINCT\n \"group_col\",\n \"cnt\",\n 1 + CAST((9 * (\"cnt\" - 1)) / 10 AS INTEGER) AS \"frn\",\n 1 + CAST((9 * (\"cnt\" - 1)) / 10 AS INTEGER)\n + CASE WHEN ((9 * (\"cnt\" - 1)) % 10) = 0 THEN 0 ELSE 1 END AS \"crn\",\n ((9 * (\"cnt\" - 1)) % 10) / 10.0 AS \"interp\"\n FROM \"ranked\"\n WHERE \"cnt\" >= 5\n),\n\"picked\" AS (\n SELECT\n b.\"group_col\",\n b.\"frn\",\n b.\"crn\",\n b.\"interp\",\n MAX(CASE WHEN r.\"rn\" = b.\"frn\" THEN r.\"measure\" END) AS \"lower_value\",\n MAX(CASE WHEN r.\"rn\" = b.\"crn\" THEN r.\"measure\" END) AS \"upper_value\"\n FROM \"bounds\" AS b\n JOIN \"ranked\" AS r\n ON r.\"group_col\" = b.\"group_col\"\n GROUP BY b.\"group_col\", b.\"frn\", b.\"crn\", b.\"interp\"\n)\nSELECT\n \"group_col\" AS \"entropy_Valence\",\n CASE\n WHEN \"frn\" = \"crn\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"upper_value\" - \"lower_value\") * \"interp\"\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n CAST(\\\"entropy_Valence\\\" AS REAL) AS \\\"group_col\\\",\\n CAST(\\\"range_atomic_mass\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY CAST(\\\"entropy_Valence\\\" AS REAL)\\n ORDER BY CAST(\\\"range_atomic_mass\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY CAST(\\\"entropy_Valence\\\" AS REAL)\\n ) AS \\\"cnt\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"entropy_Valence\\\" IS NOT NULL\\n AND \\\"range_atomic_mass\\\" IS NOT NULL\\n AND TRIM(\\\"entropy_Valence\\\") <> ''\\n AND TRIM(\\\"range_atomic_mass\\\") <> ''\\n),\\n\\\"bounds\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n \\\"cnt\\\",\\n 1 + CAST((9 * (\\\"cnt\\\" - 1)) / 10 AS INTEGER) AS \\\"frn\\\",\\n 1 + CAST((9 * (\\\"cnt\\\" - 1)) / 10 AS INTEGER)\\n + CASE WHEN ((9 * (\\\"cnt\\\" - 1)) % 10) = 0 THEN 0 ELSE 1 END AS \\\"crn\\\",\\n ((9 * (\\\"cnt\\\" - 1)) % 10) / 10.0 AS \\\"interp\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n b.\\\"group_col\\\",\\n b.\\\"frn\\\",\\n b.\\\"crn\\\",\\n b.\\\"interp\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = b.\\\"frn\\\" THEN r.\\\"measure\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = b.\\\"crn\\\" THEN r.\\\"measure\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"bounds\\\" AS b\\n JOIN \\\"ranked\\\" AS r\\n ON r.\\\"group_col\\\" = b.\\\"group_col\\\"\\n GROUP BY b.\\\"group_col\\\", b.\\\"frn\\\", b.\\\"crn\\\", b.\\\"interp\\\"\\n)\\nSELECT\\n \\\"group_col\\\" AS \\\"entropy_Valence\\\",\\n CASE\\n WHEN \\\"frn\\\" = \\\"crn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"upper_value\\\" - \\\"lower_value\\\") * \\\"interp\\\"\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"entropy_Valence\", \"percentile_measure\"], \"rows\": [{\"entropy_Valence\": 2.09985614296159, \"percentile_measure\": 207.97246}, {\"entropy_Valence\": 1.6681739719974, \"percentile_measure\": 202.0394}, {\"entropy_Valence\": 1.87345173755457, \"percentile_measure\": 198.28731}, {\"entropy_Valence\": 1.71831121419332, \"percentile_measure\": 196.9697}, {\"entropy_Valence\": 2.01412252922487, \"percentile_measure\": 196.81813}, {\"entropy_Valence\": 1.52463352843489, \"percentile_measure\": 195.37421999999998}, {\"entropy_Valence\": 1.74232658886074, \"percentile_measure\": 195.1893}, {\"entropy_Valence\": 1.90368668833762, \"percentile_measure\": 195.1893}, {\"entropy_Valence\": 2.04231612444961, \"percentile_measure\": 193.7948}, {\"entropy_Valence\": 0.900256051268537, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.01233083910317, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.19734013399678, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.22060726455302, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.27002786111697, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.2882523050229, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.30610660908539, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.31972992151867, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.45204407319368, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.46097074772182, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.47013192040884, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.5193826646423, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.53177807879137, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.53414146394837, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.54447952109686, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.63504537105213, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.64721445853648, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.65694655002062, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.66237695919282, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.68310895720885, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.68729353746732, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.68817417073947, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.70747543516624, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.70947277658421, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.71707598019888, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.72108914922872, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.72746355714217, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.80899095870995, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.81309901807641, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.82717484394452, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.83601155216837, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.85537272548104, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.86423693641647, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.8691547284087, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.87406320769729, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.87512185601982, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 1.88230316242679, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 2.0083299225286, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 2.0168325557927, \"percentile_measure\": 192.981}, {\"entropy_Valence\": 0.974314752869349, \"percentile_measure\": 192.3726}, {\"entropy_Valence\": 1.90803683450907, \"percentile_measure\": 192.3726}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 105.99}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ab09482289a1e882328d3f12b1b782b502f69842 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:02:45.419940+00:00", + "ended_at": "2026-05-19T16:03:26.485438+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_58fe730f379a246d", + "problem_id": "v2p_n5_9e95b10ab9494547", + "dataset_id": "n5", + "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=entropy_Valence, measure_col=range_atomic_mass.", + "bindings": { + "group_col": "entropy_Valence", + "measure_col": "range_atomic_mass", + "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": 146.68228, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=88" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_58fe730f379a246d.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_58fe730f379a246d", + "api_calls": 0, + "input_tokens": 25614, + "cached_input_tokens": 12032, + "output_tokens": 2593, + "total_tokens": 28207, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 40944.78, + "sql_execution_elapsed_ms_total": 105.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ab477a60fb44af5163cd1fbe3df533e3b73d5abe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:03:26.377339+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 40944.78, "started_at": "2026-05-19T16:02:45.431322+00:00", "ended_at": "2026-05-19T16:03:26.376135+00:00", "prompt_metrics": {"chars": 45013, "bytes_utf8": 45013, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 1939, "bytes_utf8": 1939, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25614, "cached_input_tokens": 12032, "output_tokens": 2593, "reasoning_output_tokens": 1962}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n CAST(\\\"entropy_Valence\\\" AS REAL) AS \\\"group_col\\\",\\n CAST(\\\"range_atomic_mass\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY CAST(\\\"entropy_Valence\\\" AS REAL)\\n ORDER BY CAST(\\\"range_atomic_mass\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY CAST(\\\"entropy_Valence\\\" AS REAL)\\n ) AS \\\"cnt\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"entropy_Valence\\\" IS NOT NULL\\n AND \\\"range_atomic_mass\\\" IS NOT NULL\\n AND TRIM(\\\"entropy_Valence\\\") <> ''\\n AND TRIM(\\\"range_atomic_mass\\\") <> ''\\n),\\n\\\"bounds\\\" AS (\\n SELECT DISTINCT\\n \\\"group_col\\\",\\n \\\"cnt\\\",\\n 1 + CAST((9 * (\\\"cnt\\\" - 1)) / 10 AS INTEGER) AS \\\"frn\\\",\\n 1 + CAST((9 * (\\\"cnt\\\" - 1)) / 10 AS INTEGER)\\n + CASE WHEN ((9 * (\\\"cnt\\\" - 1)) % 10) = 0 THEN 0 ELSE 1 END AS \\\"crn\\\",\\n ((9 * (\\\"cnt\\\" - 1)) % 10) / 10.0 AS \\\"interp\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"picked\\"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..be2e5b156fb7d990cf5a4694994ee48a773ef690 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_58fe730f379a246d", + "api_calls": 0, + "input_tokens": 25614, + "cached_input_tokens": 12032, + "output_tokens": 2593, + "total_tokens": 28207, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 40944.78, + "sql_execution_elapsed_ms_total": 105.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_58fe730f379a246d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_595750c3d53c9cef/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_595750c3d53c9cef/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..03892433880924c3c8f29f6c86f4a1ca89074ecf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_595750c3d53c9cef/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:54:56.775176+00:00", + "ended_at": "2026-05-19T15:55:03.901874+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_595750c3d53c9cef", + "problem_id": "v2p_n5_614fabe024ce0ab0", + "dataset_id": "n5", + "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=std_Valence, measure_col=range_Valence.", + "bindings": { + "group_col": "std_Valence", + "measure_col": "range_Valence", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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", + "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_c/n5/artifacts/v2q_n5_595750c3d53c9cef/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_595750c3d53c9cef/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f3236485da6267da72c33ab6631289904bc20ab1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_595750c3d53c9cef/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:54:59.924842+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3135.39, "started_at": "2026-05-19T15:54:56.787905+00:00", "ended_at": "2026-05-19T15:54:59.923325+00:00", "prompt_metrics": {"chars": 45370, "bytes_utf8": 45370, "lines": 1080, "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\":\"019e40f2-888d-7083-918a-99ec1f3abb7a\"}\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": "2026-05-19T15:55:03.901781+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": 2973.06, "started_at": "2026-05-19T15:55:00.927827+00:00", "ended_at": "2026-05-19T15:55:03.900932+00:00", "prompt_metrics": {"chars": 45370, "bytes_utf8": 45370, "lines": 1080, "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\":\"019e40f2-98ea-7de0-a6ee-50cbf94f3cd9\"}\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_c/n5/artifacts/v2q_n5_59d19485a12e7fb1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_59d19485a12e7fb1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ec6a9918b087693ae7eb4dc6ed36d3bd29d12ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_59d19485a12e7fb1/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "5", "support": 5792, "support_share": 0.2723980623618492, "cumulative_support": 5792}, {"value_label": "4", "support": 4496, "support_share": 0.21144711470629732, "cumulative_support": 10288}, {"value_label": "3", "support": 3895, "support_share": 0.1831820533320792, "cumulative_support": 14183}, {"value_label": "2", "support": 3280, "support_share": 0.15425857122701406, "cumulative_support": 17463}, {"value_label": "6", "support": 2666, "support_share": 0.1253821191741523, "cumulative_support": 20129}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_59d19485a12e7fb1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_59d19485a12e7fb1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0383fc41598079e9a16d477d609229810b728ae6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_59d19485a12e7fb1/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_59d19485a12e7fb1 +-- problem_id: v2p_n5_8af6d4eebfdd97bf +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "number_of_elements" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "number_of_elements" +), 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_c/n5/artifacts/v2q_n5_59d19485a12e7fb1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_59d19485a12e7fb1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3076fba188a8f193cf5fb860f12ad94781c67540 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_59d19485a12e7fb1/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_c\n-- sql_source_dataset_id: n5\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_n5_59d19485a12e7fb1\n-- problem_id: v2p_n5_8af6d4eebfdd97bf\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"number_of_elements\" AS value_label, COUNT(*) AS support\n FROM \"n5\"\n GROUP BY \"number_of_elements\"\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_c\\n-- sql_source_dataset_id: n5\\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_n5_59d19485a12e7fb1\\n-- problem_id: v2p_n5_8af6d4eebfdd97bf\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"number_of_elements\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n5\\\"\\n GROUP BY \\\"number_of_elements\\\"\\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\": \"5\", \"support\": 5792, \"support_share\": 0.2723980623618492, \"cumulative_support\": 5792}, {\"value_label\": \"4\", \"support\": 4496, \"support_share\": 0.21144711470629732, \"cumulative_support\": 10288}, {\"value_label\": \"3\", \"support\": 3895, \"support_share\": 0.1831820533320792, \"cumulative_support\": 14183}, {\"value_label\": \"2\", \"support\": 3280, \"support_share\": 0.15425857122701406, \"cumulative_support\": 17463}, {\"value_label\": \"6\", \"support\": 2666, \"support_share\": 0.1253821191741523, \"cumulative_support\": 20129}, {\"value_label\": \"7\", \"support\": 774, \"support_share\": 0.03640126040539905, \"cumulative_support\": 20903}, {\"value_label\": \"1\", \"support\": 285, \"support_share\": 0.013403564877957014, \"cumulative_support\": 21188}, {\"value_label\": \"8\", \"support\": 61, \"support_share\": 0.0028688331844048346, \"cumulative_support\": 21249}, {\"value_label\": \"9\", \"support\": 14, \"support_share\": 0.0006584207308470112, \"cumulative_support\": 21263}], \"row_count_returned\": 9, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 15.53}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_59d19485a12e7fb1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_59d19485a12e7fb1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..89d71d05278b7278192bcfb12ffac70bd8ae7dcd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_59d19485a12e7fb1/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:15:36.601314+00:00", + "ended_at": "2026-05-19T16:15:36.618366+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_59d19485a12e7fb1", + "problem_id": "v2p_n5_8af6d4eebfdd97bf", + "dataset_id": "n5", + "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=number_of_elements.", + "bindings": { + "group_col": "number_of_elements" + }, + "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_c/n5/sql/v2q_n5_59d19485a12e7fb1.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_c/n5/artifacts/v2q_n5_59d19485a12e7fb1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_59d19485a12e7fb1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_59d19485a12e7fb1/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_c/n5/artifacts/v2q_n5_5a451d2b362c765d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec3e5c0150046189dad8a5fb70aa1d24965f7efd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/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=gmean_Valence, measure_col=mean_Density. +Result preview: [{"gmean_Valence": "1.78179743628068", "gmean_Density": "341.957273364519", "total_measure": 64299.95833333337, "share_within_group": 100.00000000000001}, {"gmean_Valence": "2.39196049125096", "gmean_Density": "1759.07684598627", "total_measure": 21945.183857142867, "share_within_group": 100.00000000000001}, {"gmean_Valence": "2.79842828161591", "gmean_Density": "2434.12339104411", "total_measure": 26029.46957142858, "share_within_group": 100.00000000000001}, {"gmean_Valence": "1.25992104989487", "gmean_Density": "29.4043232416371", "total_measure": 3497.70833333333, "share_within_group": 100.0}, {"gmean_Valence": "1.77827941003892", "gmean_Density": "27.7033080425819", "total_measure": 4553.25945, "share_within_group": 100.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..733bbf23c1c119f22b35ceabd86e3debcce64983 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_5a451d2b362c765d +-- problem_id: v2p_n5_96b6f91746e16f2a +-- realization_mode: agent +-- source_kind: agent +SELECT + "gmean_Valence", + "gmean_Density", + SUM(CAST("mean_Density" AS REAL)) AS total_measure, + SUM(CAST("mean_Density" AS REAL)) * 100.0 / SUM(SUM(CAST("mean_Density" AS REAL))) OVER (PARTITION BY "gmean_Valence") AS share_within_group +FROM "n5" +GROUP BY "gmean_Valence", "gmean_Density" +ORDER BY share_within_group DESC +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9a297a8ed6601ac8dd18fd00cef6079080b82622 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/query_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 \"gmean_Valence\",\n \"gmean_Density\",\n SUM(CAST(\"mean_Density\" AS REAL)) AS total_measure,\n SUM(CAST(\"mean_Density\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"mean_Density\" AS REAL))) OVER (PARTITION BY \"gmean_Valence\") AS share_within_group\nFROM \"n5\"\nGROUP BY \"gmean_Valence\", \"gmean_Density\"\nORDER BY share_within_group DESC\nLIMIT 16;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"gmean_Valence\\\",\\n \\\"gmean_Density\\\",\\n SUM(CAST(\\\"mean_Density\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"mean_Density\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"mean_Density\\\" AS REAL))) OVER (PARTITION BY \\\"gmean_Valence\\\") AS share_within_group\\nFROM \\\"n5\\\"\\nGROUP BY \\\"gmean_Valence\\\", \\\"gmean_Density\\\"\\nORDER BY share_within_group DESC\\nLIMIT 16;\", \"columns\": [\"gmean_Valence\", \"gmean_Density\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"gmean_Valence\": \"1.78179743628068\", \"gmean_Density\": \"341.957273364519\", \"total_measure\": 64299.95833333337, \"share_within_group\": 100.00000000000001}, {\"gmean_Valence\": \"2.39196049125096\", \"gmean_Density\": \"1759.07684598627\", \"total_measure\": 21945.183857142867, \"share_within_group\": 100.00000000000001}, {\"gmean_Valence\": \"2.79842828161591\", \"gmean_Density\": \"2434.12339104411\", \"total_measure\": 26029.46957142858, \"share_within_group\": 100.00000000000001}, {\"gmean_Valence\": \"1.25992104989487\", \"gmean_Density\": \"29.4043232416371\", \"total_measure\": 3497.70833333333, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"1.77827941003892\", \"gmean_Density\": \"27.7033080425819\", \"total_measure\": 4553.25945, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"1.96798967126543\", \"gmean_Density\": \"2472.39541133826\", \"total_measure\": 3856.25, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"1.97435048583482\", \"gmean_Density\": \"101.280996634471\", \"total_measure\": 3030.55718, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.03393700979443\", \"gmean_Density\": \"525.207884791207\", \"total_measure\": 14463.05357142858, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.04767251107922\", \"gmean_Density\": \"76.4292517571608\", \"total_measure\": 7937.71134, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.05657118859578\", \"gmean_Density\": \"550.249809515265\", \"total_measure\": 8779.78125, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.11693286302546\", \"gmean_Density\": \"294.334676407207\", \"total_measure\": 6906.04166666666, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.22090615485233\", \"gmean_Density\": \"388.396708626542\", \"total_measure\": 18346.08333333332, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.29440538087975\", \"gmean_Density\": \"1730.34706168621\", \"total_measure\": 10278.35725, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.31638768648693\", \"gmean_Density\": \"213.620710255801\", \"total_measure\": 35914.1887777778, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.37956557896877\", \"gmean_Density\": \"1473.41170738359\", \"total_measure\": 32513.428999999993, \"share_within_group\": 100.0}, {\"gmean_Valence\": \"2.41014226417523\", \"gmean_Density\": \"295.152342955287\", \"total_measure\": 7292.47633333333, \"share_within_group\": 100.0}], \"row_count_returned\": 16, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 43.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fc11ee19ac7d7ffb318cd5765f1c5ed169fd856a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:42:17.807949+00:00", + "ended_at": "2026-05-19T15:42:34.348604+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_5a451d2b362c765d", + "problem_id": "v2p_n5_96b6f91746e16f2a", + "dataset_id": "n5", + "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=gmean_Valence, measure_col=mean_Density.", + "bindings": { + "group_col": "gmean_Valence", + "measure_col": "mean_Density", + "item_col": "gmean_Density", + "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": 4888.8218, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_5a451d2b362c765d.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_5a451d2b362c765d", + "api_calls": 0, + "input_tokens": 25699, + "cached_input_tokens": 24960, + "output_tokens": 711, + "total_tokens": 26410, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16483.63, + "sql_execution_elapsed_ms_total": 43.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2a556c361996c58312ffcf6a0f6eabc100124294 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:42:34.303166+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16483.63, "started_at": "2026-05-19T15:42:17.818422+00:00", "ended_at": "2026-05-19T15:42:34.302083+00:00", "prompt_metrics": {"chars": 45237, "bytes_utf8": 45237, "lines": 1082, "estimated_tokens": null}, "response_metrics": {"chars": 648, "bytes_utf8": 648, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25699, "cached_input_tokens": 24960, "output_tokens": 711, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"gmean_Valence\\\",\\n \\\"gmean_Density\\\",\\n SUM(CAST(\\\"mean_Density\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"mean_Density\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"mean_Density\\\" AS REAL))) OVER (PARTITION BY \\\"gmean_Valence\\\") AS share_within_group\\nFROM \\\"n5\\\"\\nGROUP BY \\\"gmean_Valence\\\", \\\"gmean_Density\\\"\\nORDER BY share_within_group DESC\\nLIMIT 16;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"gmean_Valence\\\", item_col=\\\"gmean_Density\\\", and measure_col=\\\"mean_Density\\\". Cast the measure to REAL because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c2cc9319b3503e31be4d4731596e9c8ddc941e60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_5a451d2b362c765d", + "api_calls": 0, + "input_tokens": 25699, + "cached_input_tokens": 24960, + "output_tokens": 711, + "total_tokens": 26410, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16483.63, + "sql_execution_elapsed_ms_total": 43.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5a451d2b362c765d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9798b8031657023cecd28b997406ef11a192ffd1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/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=entropy_Valence, condition_col=range_Valence. +Result preview: [{"entropy_Valence": 1.03972077083992, "condition_ratio": 77.0}, {"entropy_Valence": 1.05492016798614, "condition_ratio": 25.333333333333332}, {"entropy_Valence": 1.33217904021012, "condition_ratio": 21.0}, {"entropy_Valence": 0.636514168294813, "condition_ratio": 10.846153846153847}, {"entropy_Valence": 1.35178399428965, "condition_ratio": 4.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b2296bdb82b1e4bd4faf989eb895b6f4716c57bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_5aff0ac5b3d079ee +-- problem_id: v2p_n5_a7a6fb75af4ebebe +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + CAST("entropy_Valence" AS REAL) AS "entropy_Valence", + SUM(CASE WHEN CAST("range_Valence" AS REAL) = 2 THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN CAST("range_Valence" AS REAL) = 1 THEN 1 ELSE 0 END) AS denominator_count + FROM "n5" + GROUP BY CAST("entropy_Valence" AS REAL) +) +SELECT + "entropy_Valence", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +WHERE numerator_count + denominator_count >= 5 +ORDER BY condition_ratio DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7cd34e0d3dfc11777340cd657e61b64f6bf3cdb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT\n CAST(\"entropy_Valence\" AS REAL) AS \"entropy_Valence\",\n SUM(CASE WHEN CAST(\"range_Valence\" AS REAL) = 2 THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN CAST(\"range_Valence\" AS REAL) = 1 THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n5\"\n GROUP BY CAST(\"entropy_Valence\" AS REAL)\n)\nSELECT\n \"entropy_Valence\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nWHERE numerator_count + denominator_count >= 5\nORDER BY condition_ratio DESC\nLIMIT 14;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n CAST(\\\"entropy_Valence\\\" AS REAL) AS \\\"entropy_Valence\\\",\\n SUM(CASE WHEN CAST(\\\"range_Valence\\\" AS REAL) = 2 THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN CAST(\\\"range_Valence\\\" AS REAL) = 1 THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n5\\\"\\n GROUP BY CAST(\\\"entropy_Valence\\\" AS REAL)\\n)\\nSELECT\\n \\\"entropy_Valence\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nWHERE numerator_count + denominator_count >= 5\\nORDER BY condition_ratio DESC\\nLIMIT 14;\", \"columns\": [\"entropy_Valence\", \"condition_ratio\"], \"rows\": [{\"entropy_Valence\": 1.03972077083992, \"condition_ratio\": 77.0}, {\"entropy_Valence\": 1.05492016798614, \"condition_ratio\": 25.333333333333332}, {\"entropy_Valence\": 1.33217904021012, \"condition_ratio\": 21.0}, {\"entropy_Valence\": 0.636514168294813, \"condition_ratio\": 10.846153846153847}, {\"entropy_Valence\": 1.35178399428965, \"condition_ratio\": 4.0}, {\"entropy_Valence\": 0.673011667009257, \"condition_ratio\": 3.2564102564102564}, {\"entropy_Valence\": 1.3730039128772, \"condition_ratio\": 1.8333333333333333}, {\"entropy_Valence\": 1.07899220787758, \"condition_ratio\": 1.3333333333333333}, {\"entropy_Valence\": 1.08219553003877, \"condition_ratio\": 0.9534883720930233}, {\"entropy_Valence\": 1.3661588475692, \"condition_ratio\": 0.08333333333333333}, {\"entropy_Valence\": 1.36892236074022, \"condition_ratio\": 0.01009028146574615}, {\"entropy_Valence\": 0.682908104700472, \"condition_ratio\": 0.0}, {\"entropy_Valence\": 0.686961576597323, \"condition_ratio\": 0.0}, {\"entropy_Valence\": 0.689009238476659, \"condition_ratio\": 0.0}], \"row_count_returned\": 14, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 54.28}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..923cf16df0efb3fc2c291c2fff742a0663aa8c6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:46:17.733645+00:00", + "ended_at": "2026-05-19T15:46:49.788139+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_5aff0ac5b3d079ee", + "problem_id": "v2p_n5_a7a6fb75af4ebebe", + "dataset_id": "n5", + "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=entropy_Valence, condition_col=range_Valence.", + "bindings": { + "group_col": "entropy_Valence", + "condition_col": "range_Valence", + "condition_value": "2", + "positive_value": "2", + "negative_value": "1", + "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": 3383.439907, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_5aff0ac5b3d079ee.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_5aff0ac5b3d079ee", + "api_calls": 0, + "input_tokens": 25788, + "cached_input_tokens": 24960, + "output_tokens": 1500, + "total_tokens": 27288, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 31981.09, + "sql_execution_elapsed_ms_total": 54.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..36666950ece4c488fd6c0017002d0976d9570c7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:49.731401+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 31981.09, "started_at": "2026-05-19T15:46:17.748339+00:00", "ended_at": "2026-05-19T15:46:49.729481+00:00", "prompt_metrics": {"chars": 45633, "bytes_utf8": 45633, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 987, "bytes_utf8": 987, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25788, "cached_input_tokens": 24960, "output_tokens": 1500, "reasoning_output_tokens": 1231}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n CAST(\\\"entropy_Valence\\\" AS REAL) AS \\\"entropy_Valence\\\",\\n SUM(CASE WHEN CAST(\\\"range_Valence\\\" AS REAL) = 2 THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN CAST(\\\"range_Valence\\\" AS REAL) = 1 THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n5\\\"\\n GROUP BY CAST(\\\"entropy_Valence\\\" AS REAL)\\n)\\nSELECT\\n \\\"entropy_Valence\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nWHERE numerator_count + denominator_count >= 5\\nORDER BY condition_ratio DESC\\nLIMIT 14;\",\"notes\":\"Uses the planned grouped ratio template with group_col=\\\"entropy_Valence\\\" and condition_col=\\\"range_Valence\\\", casting both TEXT-backed numeric columns to REAL. The query computes the ratio of range_Valence=2 to range_Valence=1 per entropy_Valence group, keeps groups with at least 5 relevant rows, and returns the top 14 ratios.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..855786fb260d5b1378ebd8b366ed73d2f7f159e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_5aff0ac5b3d079ee", + "api_calls": 0, + "input_tokens": 25788, + "cached_input_tokens": 24960, + "output_tokens": 1500, + "total_tokens": 27288, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 31981.09, + "sql_execution_elapsed_ms_total": 54.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5aff0ac5b3d079ee/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8394c6471b4e352e603d0180157d2bb38753d82c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/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=number_of_elements, measure_col=wtd_range_atomic_radius. +Result preview: [{"number_of_elements": 9, "wtd_std_atomic_radius": 55.5263130792156, "total_measure": 50.9428238039673, "share_within_group": 9.401868665055673}, {"number_of_elements": 9, "wtd_std_atomic_radius": 57.8982553969705, "total_measure": 47.6105032822757, "share_within_group": 8.786864675183123}, {"number_of_elements": 9, "wtd_std_atomic_radius": 59.495668268604, "total_measure": 44.6694129763131, "share_within_group": 8.244065067231759}, {"number_of_elements": 9, "wtd_std_atomic_radius": 60.0822975926636, "total_measure": 43.3246623311656, "share_within_group": 7.995881554641689}, {"number_of_elements": 9, "wtd_std_atomic_radius": 52.5200880622786, "total_measure": 40.6064612233498, "share_within_group": 7.494217769390295}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c02412e944cb05043c39d91fce616b41db344e3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_5bc81ea7de091862 +-- problem_id: v2p_n5_20dcbfd621aae921 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST(NULLIF("number_of_elements", '') AS INTEGER) AS "number_of_elements", CAST(NULLIF("wtd_std_atomic_radius", '') AS REAL) AS "wtd_std_atomic_radius", SUM(CAST(NULLIF("wtd_range_atomic_radius", '') AS REAL)) AS "total_measure", SUM(CAST(NULLIF("wtd_range_atomic_radius", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("wtd_range_atomic_radius", '') AS REAL))) OVER (PARTITION BY CAST(NULLIF("number_of_elements", '') AS INTEGER)) AS "share_within_group" +FROM "n5" +WHERE NULLIF("number_of_elements", '') IS NOT NULL AND NULLIF("wtd_std_atomic_radius", '') IS NOT NULL AND NULLIF("wtd_range_atomic_radius", '') IS NOT NULL +GROUP BY CAST(NULLIF("number_of_elements", '') AS INTEGER), CAST(NULLIF("wtd_std_atomic_radius", '') AS REAL) +ORDER BY "share_within_group" DESC +LIMIT 18; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..edb033a464ef84c91e0a0ac13f8aed477695b110 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT CAST(NULLIF(\"number_of_elements\", '') AS INTEGER) AS \"number_of_elements\", CAST(NULLIF(\"wtd_std_atomic_radius\", '') AS REAL) AS \"wtd_std_atomic_radius\", SUM(CAST(NULLIF(\"wtd_range_atomic_radius\", '') AS REAL)) AS \"total_measure\", SUM(CAST(NULLIF(\"wtd_range_atomic_radius\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\"wtd_range_atomic_radius\", '') AS REAL))) OVER (PARTITION BY CAST(NULLIF(\"number_of_elements\", '') AS INTEGER)) AS \"share_within_group\"\nFROM \"n5\"\nWHERE NULLIF(\"number_of_elements\", '') IS NOT NULL AND NULLIF(\"wtd_std_atomic_radius\", '') IS NOT NULL AND NULLIF(\"wtd_range_atomic_radius\", '') IS NOT NULL\nGROUP BY CAST(NULLIF(\"number_of_elements\", '') AS INTEGER), CAST(NULLIF(\"wtd_std_atomic_radius\", '') AS REAL)\nORDER BY \"share_within_group\" DESC\nLIMIT 18;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT CAST(NULLIF(\\\"number_of_elements\\\", '') AS INTEGER) AS \\\"number_of_elements\\\", CAST(NULLIF(\\\"wtd_std_atomic_radius\\\", '') AS REAL) AS \\\"wtd_std_atomic_radius\\\", SUM(CAST(NULLIF(\\\"wtd_range_atomic_radius\\\", '') AS REAL)) AS \\\"total_measure\\\", SUM(CAST(NULLIF(\\\"wtd_range_atomic_radius\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"wtd_range_atomic_radius\\\", '') AS REAL))) OVER (PARTITION BY CAST(NULLIF(\\\"number_of_elements\\\", '') AS INTEGER)) AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nWHERE NULLIF(\\\"number_of_elements\\\", '') IS NOT NULL AND NULLIF(\\\"wtd_std_atomic_radius\\\", '') IS NOT NULL AND NULLIF(\\\"wtd_range_atomic_radius\\\", '') IS NOT NULL\\nGROUP BY CAST(NULLIF(\\\"number_of_elements\\\", '') AS INTEGER), CAST(NULLIF(\\\"wtd_std_atomic_radius\\\", '') AS REAL)\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 18;\", \"columns\": [\"number_of_elements\", \"wtd_std_atomic_radius\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"number_of_elements\": 9, \"wtd_std_atomic_radius\": 55.5263130792156, \"total_measure\": 50.9428238039673, \"share_within_group\": 9.401868665055673}, {\"number_of_elements\": 9, \"wtd_std_atomic_radius\": 57.8982553969705, \"total_measure\": 47.6105032822757, \"share_within_group\": 8.786864675183123}, {\"number_of_elements\": 9, \"wtd_std_atomic_radius\": 59.495668268604, \"total_measure\": 44.6694129763131, \"share_within_group\": 8.244065067231759}, {\"number_of_elements\": 9, \"wtd_std_atomic_radius\": 60.0822975926636, \"total_measure\": 43.3246623311656, \"share_within_group\": 7.995881554641689}, {\"number_of_elements\": 9, \"wtd_std_atomic_radius\": 52.5200880622786, \"total_measure\": 40.6064612233498, \"share_within_group\": 7.494217769390295}, {\"number_of_elements\": 9, \"wtd_std_atomic_radius\": 61.2356819602932, \"total_measure\": 39.7142857142857, \"share_within_group\": 7.3295602899643795}, {\"number_of_elements\": 9, \"wtd_std_atomic_radius\": 53.5634312238877, \"total_measure\": 39.7106390737533, \"share_within_group\": 7.328887275930327}, {\"number_of_elements\": 9, \"wtd_std_atomic_radius\": 54.9187205686781, \"total_measure\": 39.1292894901891, \"share_within_group\": 7.221594981844154}, {\"number_of_elements\": 9, \"wtd_std_atomic_radius\": 54.265268369656, \"total_measure\": 39.0628366247756, \"share_within_group\": 7.209330622187952}, {\"number_of_elements\": 9, \"wtd_std_atomic_radius\": 61.7876729528951, \"total_measure\": 36.2539978001523, \"share_within_group\": 6.690938987047361}, {\"number_of_elements\": 9, \"wtd_std_atomic_radius\": 68.2081345640684, \"total_measure\": 30.2030769230769, \"share_within_group\": 5.574197527880822}, {\"number_of_elements\": 9, \"wtd_std_atomic_radius\": 68.466910329437, \"total_measure\": 30.2030769230769, \"share_within_group\": 5.574197527880822}, {\"number_of_elements\": 9, \"wtd_std_atomic_radius\": 68.7237740790524, \"total_measure\": 30.2030769230769, \"share_within_group\": 5.574197527880822}, {\"number_of_elements\": 9, \"wtd_std_atomic_radius\": 68.9787471728681, \"total_measure\": 30.2030769230769, \"share_within_group\": 5.574197527880822}, {\"number_of_elements\": 8, \"wtd_std_atomic_radius\": 58.054251435135, \"total_measure\": 58.9964285714286, \"share_within_group\": 2.636233421885966}, {\"number_of_elements\": 8, \"wtd_std_atomic_radius\": 58.0658762237569, \"total_measure\": 58.2814285714286, \"share_within_group\": 2.604283913376881}, {\"number_of_elements\": 8, \"wtd_std_atomic_radius\": 58.0890502871695, \"total_measure\": 58.1714285714286, \"share_within_group\": 2.5993686043754836}, {\"number_of_elements\": 8, \"wtd_std_atomic_radius\": 50.3847260806509, \"total_measure\": 57.7, \"share_within_group\": 2.5783029943694924}], \"row_count_returned\": 18, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 98.19}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ced100d6d59c078f244401ae886aa962222af1ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:39:26.913703+00:00", + "ended_at": "2026-05-19T15:40:09.978109+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_5bc81ea7de091862", + "problem_id": "v2p_n5_20dcbfd621aae921", + "dataset_id": "n5", + "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=number_of_elements, measure_col=wtd_range_atomic_radius.", + "bindings": { + "group_col": "number_of_elements", + "measure_col": "wtd_range_atomic_radius", + "item_col": "wtd_std_atomic_radius", + "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": 43.206251, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_5bc81ea7de091862.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_5bc81ea7de091862", + "api_calls": 0, + "input_tokens": 25698, + "cached_input_tokens": 12032, + "output_tokens": 2212, + "total_tokens": 27910, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 42950.91, + "sql_execution_elapsed_ms_total": 98.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..22d7a921d693f5e5dc6928ee8470396af8ff082c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:40:09.878083+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 42950.91, "started_at": "2026-05-19T15:39:26.925058+00:00", "ended_at": "2026-05-19T15:40:09.876043+00:00", "prompt_metrics": {"chars": 45272, "bytes_utf8": 45272, "lines": 1082, "estimated_tokens": null}, "response_metrics": {"chars": 1229, "bytes_utf8": 1229, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25698, "cached_input_tokens": 12032, "output_tokens": 2212, "reasoning_output_tokens": 1896}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT CAST(NULLIF(\\\"number_of_elements\\\", '') AS INTEGER) AS \\\"number_of_elements\\\", CAST(NULLIF(\\\"wtd_std_atomic_radius\\\", '') AS REAL) AS \\\"wtd_std_atomic_radius\\\", SUM(CAST(NULLIF(\\\"wtd_range_atomic_radius\\\", '') AS REAL)) AS \\\"total_measure\\\", SUM(CAST(NULLIF(\\\"wtd_range_atomic_radius\\\", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF(\\\"wtd_range_atomic_radius\\\", '') AS REAL))) OVER (PARTITION BY CAST(NULLIF(\\\"number_of_elements\\\", '') AS INTEGER)) AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nWHERE NULLIF(\\\"number_of_elements\\\", '') IS NOT NULL AND NULLIF(\\\"wtd_std_atomic_radius\\\", '') IS NOT NULL AND NULLIF(\\\"wtd_range_atomic_radius\\\", '') IS NOT NULL\\nGROUP BY CAST(NULLIF(\\\"number_of_elements\\\", '') AS INTEGER), CAST(NULLIF(\\\"wtd_std_atomic_radius\\\", '') AS REAL)\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 18;\",\"notes\":\"Applied the Within-Group Share of Total template using bound roles: group_col=\\\"number_of_elements\\\", item_col=\\\"wt"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f442d1a7647dee7b310c78d50c159e4a4f2fb180 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_5bc81ea7de091862", + "api_calls": 0, + "input_tokens": 25698, + "cached_input_tokens": 12032, + "output_tokens": 2212, + "total_tokens": 27910, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 42950.91, + "sql_execution_elapsed_ms_total": 98.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_5bc81ea7de091862/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62522c6a3afbc8b8/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62522c6a3afbc8b8/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1a20a13a80f1f101e25bfc84c6e774f4ee8c8023 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62522c6a3afbc8b8/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:13:59.521040+00:00", + "ended_at": "2026-05-19T16:14:07.635357+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_62522c6a3afbc8b8", + "problem_id": "v2p_n5_512922193e6e5bd7", + "dataset_id": "n5", + "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=range_atomic_radius, measure_col=gmean_FusionHeat.", + "bindings": { + "group_col": "range_atomic_radius", + "measure_col": "gmean_FusionHeat", + "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": 4.111024, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=134" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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_c/n5/artifacts/v2q_n5_62522c6a3afbc8b8/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62522c6a3afbc8b8/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7b3ee301d67140a76cb2271fbe53f2229877e900 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62522c6a3afbc8b8/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:14:03.147111+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": 3611.88, "started_at": "2026-05-19T16:13:59.534332+00:00", "ended_at": "2026-05-19T16:14:03.146235+00:00", "prompt_metrics": {"chars": 44924, "bytes_utf8": 44924, "lines": 1080, "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\":\"019e4103-f87f-7db0-be45-b871ddd5d708\"}\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": "2026-05-19T16:14:07.635265+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": 3485.81, "started_at": "2026-05-19T16:14:04.148622+00:00", "ended_at": "2026-05-19T16:14:07.634461+00:00", "prompt_metrics": {"chars": 44924, "bytes_utf8": 44924, "lines": 1080, "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\":\"019e4104-0a70-7ba0-9d74-b19d435ee4ab\"}\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_c/n5/artifacts/v2q_n5_62eb26407dd6b046/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62eb26407dd6b046/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0ac31e9fd9cb7b10f1e74b045a9bd4cc75de7ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62eb26407dd6b046/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"mean_atomic_mass": "76.4445625", "support": 720, "avg_response": 4.0}, {"mean_atomic_mass": "76.5177175", "support": 358, "avg_response": 4.0}, {"mean_atomic_mass": "83.24476", "support": 323, "avg_response": 5.0}, {"mean_atomic_mass": "74.23165", "support": 267, "avg_response": 5.0}, {"mean_atomic_mass": "89.33718", "support": 254, "avg_response": 5.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62eb26407dd6b046/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62eb26407dd6b046/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e78a1f7b10066ce6e1e0f566fee36e8fd8acb4c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62eb26407dd6b046/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_62eb26407dd6b046 +-- problem_id: v2p_n5_44df4d9c2ac2ffe8 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "mean_atomic_mass", + COUNT(*) AS support, + AVG("number_of_elements") AS avg_response +FROM "n5" +GROUP BY "mean_atomic_mass" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62eb26407dd6b046/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62eb26407dd6b046/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c9ee4398c653634d80d78e30f539e16093f572ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62eb26407dd6b046/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_c\n-- sql_source_dataset_id: n5\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_n5_62eb26407dd6b046\n-- problem_id: v2p_n5_44df4d9c2ac2ffe8\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"mean_atomic_mass\",\n COUNT(*) AS support,\n AVG(\"number_of_elements\") AS avg_response\nFROM \"n5\"\nGROUP BY \"mean_atomic_mass\"\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_c\\n-- sql_source_dataset_id: n5\\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_n5_62eb26407dd6b046\\n-- problem_id: v2p_n5_44df4d9c2ac2ffe8\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"mean_atomic_mass\\\",\\n COUNT(*) AS support,\\n AVG(\\\"number_of_elements\\\") AS avg_response\\nFROM \\\"n5\\\"\\nGROUP BY \\\"mean_atomic_mass\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"mean_atomic_mass\", \"support\", \"avg_response\"], \"rows\": [{\"mean_atomic_mass\": \"76.4445625\", \"support\": 720, \"avg_response\": 4.0}, {\"mean_atomic_mass\": \"76.5177175\", \"support\": 358, \"avg_response\": 4.0}, {\"mean_atomic_mass\": \"83.24476\", \"support\": 323, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"74.23165\", \"support\": 267, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"89.33718\", \"support\": 254, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"88.936744\", \"support\": 167, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"72.32465\", \"support\": 166, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"88.9444675\", \"support\": 155, \"avg_response\": 4.0}, {\"mean_atomic_mass\": \"79.171174\", \"support\": 154, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"104.3656\", \"support\": 150, \"avg_response\": 4.0}, {\"mean_atomic_mass\": \"69.17125\", \"support\": 137, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"103.903966666667\", \"support\": 136, \"avg_response\": 6.0}, {\"mean_atomic_mass\": \"103.010254\", \"support\": 126, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"92.26674\", \"support\": 123, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"74.290174\", \"support\": 121, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"91.50808\", \"support\": 119, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"72.89433\", \"support\": 116, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"84.188275\", \"support\": 111, \"avg_response\": 6.0}, {\"mean_atomic_mass\": \"72.952854\", \"support\": 107, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"100.351275\", \"support\": 105, \"avg_response\": 4.0}, {\"mean_atomic_mass\": \"90.2786\", \"support\": 98, \"avg_response\": 4.0}, {\"mean_atomic_mass\": \"72.942289\", \"support\": 95, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"87.4683333333333\", \"support\": 92, \"avg_response\": 3.0}, {\"mean_atomic_mass\": \"76.797975\", \"support\": 85, \"avg_response\": 4.0}, {\"mean_atomic_mass\": \"15.7089\", \"support\": 82, \"avg_response\": 3.0}, {\"mean_atomic_mass\": \"78.67965\", \"support\": 81, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"81.75669875\", \"support\": 78, \"avg_response\": 4.0}, {\"mean_atomic_mass\": \"90.1422625\", \"support\": 77, \"avg_response\": 4.0}, {\"mean_atomic_mass\": \"91.8081\", \"support\": 77, \"avg_response\": 4.0}, {\"mean_atomic_mass\": \"105.313925\", \"support\": 73, \"avg_response\": 4.0}, {\"mean_atomic_mass\": \"93.5306\", \"support\": 71, \"avg_response\": 4.0}, {\"mean_atomic_mass\": \"64.1726395333333\", \"support\": 69, \"avg_response\": 3.0}, {\"mean_atomic_mass\": \"90.97585\", \"support\": 64, \"avg_response\": 4.0}, {\"mean_atomic_mass\": \"20.6991795333333\", \"support\": 64, \"avg_response\": 3.0}, {\"mean_atomic_mass\": \"80.79362\", \"support\": 63, \"avg_response\": 6.0}, {\"mean_atomic_mass\": \"120.375211666667\", \"support\": 62, \"avg_response\": 6.0}, {\"mean_atomic_mass\": \"60.93397464\", \"support\": 62, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"92.8552416666667\", \"support\": 59, \"avg_response\": 6.0}, {\"mean_atomic_mass\": \"90.062574\", \"support\": 56, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"17.558\", \"support\": 55, \"avg_response\": 2.0}, {\"mean_atomic_mass\": \"72.8169566666667\", \"support\": 53, \"avg_response\": 3.0}, {\"mean_atomic_mass\": \"67.4649075\", \"support\": 52, \"avg_response\": 6.0}, {\"mean_atomic_mass\": \"81.1273166666667\", \"support\": 52, \"avg_response\": 6.0}, {\"mean_atomic_mass\": \"97.06475\", \"support\": 51, \"avg_response\": 2.0}, {\"mean_atomic_mass\": \"83.8915416666667\", \"support\": 50, \"avg_response\": 6.0}, {\"mean_atomic_mass\": \"96.03285\", \"support\": 50, \"avg_response\": 4.0}, {\"mean_atomic_mass\": \"86.2707333333333\", \"support\": 48, \"avg_response\": 6.0}, {\"mean_atomic_mass\": \"63.22488064\", \"support\": 47, \"avg_response\": 5.0}, {\"mean_atomic_mass\": \"142.082\", \"support\": 45, \"avg_response\": 4.0}, {\"mean_atomic_mass\": \"64.6322175\", \"support\": 44, \"avg_response\": 4.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 16.23}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62eb26407dd6b046/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62eb26407dd6b046/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9df6e9bd6127ee5bc60cd8179da7735b71776119 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62eb26407dd6b046/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:15:36.835248+00:00", + "ended_at": "2026-05-19T16:15:36.852255+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_62eb26407dd6b046", + "problem_id": "v2p_n5_44df4d9c2ac2ffe8", + "dataset_id": "n5", + "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=number_of_elements, key_col=mean_atomic_mass.", + "bindings": { + "key_col": "mean_atomic_mass", + "measure_col": "number_of_elements", + "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_c/n5/sql/v2q_n5_62eb26407dd6b046.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_c/n5/artifacts/v2q_n5_62eb26407dd6b046/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62eb26407dd6b046/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_62eb26407dd6b046/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_c/n5/artifacts/v2q_n5_6454b989b1a891ba/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..dcfedfb133371c547214a7f3d688b6aa92822253 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/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=gmean_Valence, measure_col=wtd_entropy_atomic_mass. +Result preview: [{"gmean_Valence": 2.10397901101729, "percentile_measure": 1.92155207389934}, {"gmean_Valence": 2.70659989709772, "percentile_measure": 1.91575169791759}, {"gmean_Valence": 2.57283925640405, "percentile_measure": 1.90529722558647}, {"gmean_Valence": 2.7374762132844, "percentile_measure": 1.87899491136129}, {"gmean_Valence": 2.94471340036069, "percentile_measure": 1.8724192300178}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1c7255a695186ac4963ec3e9b1620bdcca2ed2aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/generated_sql.sql @@ -0,0 +1,40 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_6454b989b1a891ba +-- problem_id: v2p_n5_735ad69e03ce9e37 +-- realization_mode: agent +-- source_kind: agent +WITH "typed" AS ( + SELECT + CAST("gmean_Valence" AS REAL) AS "gmean_Valence", + CAST("wtd_entropy_atomic_mass" AS REAL) AS "wtd_entropy_atomic_mass" + FROM "n5" + WHERE "gmean_Valence" IS NOT NULL + AND "wtd_entropy_atomic_mass" IS NOT NULL +), +"ranked" AS ( + SELECT + "gmean_Valence", + "wtd_entropy_atomic_mass", + COUNT(*) OVER (PARTITION BY "gmean_Valence") AS "group_size", + CUME_DIST() OVER ( + PARTITION BY "gmean_Valence" + ORDER BY "wtd_entropy_atomic_mass" + ) AS "cume_dist" + FROM "typed" +) +SELECT + "gmean_Valence", + MIN("wtd_entropy_atomic_mass") AS "percentile_measure" +FROM "ranked" +WHERE "cume_dist" >= 0.95 + AND "group_size" >= 5 +GROUP BY "gmean_Valence" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..118ff36b7d1b379e6271a034edc05a3abab26748 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/query_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 \"typed\" AS (\n SELECT\n CAST(\"gmean_Valence\" AS REAL) AS \"gmean_Valence\",\n CAST(\"wtd_entropy_atomic_mass\" AS REAL) AS \"wtd_entropy_atomic_mass\"\n FROM \"n5\"\n WHERE \"gmean_Valence\" IS NOT NULL\n AND \"wtd_entropy_atomic_mass\" IS NOT NULL\n),\n\"ranked\" AS (\n SELECT\n \"gmean_Valence\",\n \"wtd_entropy_atomic_mass\",\n COUNT(*) OVER (PARTITION BY \"gmean_Valence\") AS \"group_size\",\n CUME_DIST() OVER (\n PARTITION BY \"gmean_Valence\"\n ORDER BY \"wtd_entropy_atomic_mass\"\n ) AS \"cume_dist\"\n FROM \"typed\"\n)\nSELECT\n \"gmean_Valence\",\n MIN(\"wtd_entropy_atomic_mass\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cume_dist\" >= 0.95\n AND \"group_size\" >= 5\nGROUP BY \"gmean_Valence\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"typed\\\" AS (\\n SELECT\\n CAST(\\\"gmean_Valence\\\" AS REAL) AS \\\"gmean_Valence\\\",\\n CAST(\\\"wtd_entropy_atomic_mass\\\" AS REAL) AS \\\"wtd_entropy_atomic_mass\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"gmean_Valence\\\" IS NOT NULL\\n AND \\\"wtd_entropy_atomic_mass\\\" IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"gmean_Valence\\\",\\n \\\"wtd_entropy_atomic_mass\\\",\\n COUNT(*) OVER (PARTITION BY \\\"gmean_Valence\\\") AS \\\"group_size\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"gmean_Valence\\\"\\n ORDER BY \\\"wtd_entropy_atomic_mass\\\"\\n ) AS \\\"cume_dist\\\"\\n FROM \\\"typed\\\"\\n)\\nSELECT\\n \\\"gmean_Valence\\\",\\n MIN(\\\"wtd_entropy_atomic_mass\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist\\\" >= 0.95\\n AND \\\"group_size\\\" >= 5\\nGROUP BY \\\"gmean_Valence\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"gmean_Valence\", \"percentile_measure\"], \"rows\": [{\"gmean_Valence\": 2.10397901101729, \"percentile_measure\": 1.92155207389934}, {\"gmean_Valence\": 2.70659989709772, \"percentile_measure\": 1.91575169791759}, {\"gmean_Valence\": 2.57283925640405, \"percentile_measure\": 1.90529722558647}, {\"gmean_Valence\": 2.7374762132844, \"percentile_measure\": 1.87899491136129}, {\"gmean_Valence\": 2.94471340036069, \"percentile_measure\": 1.8724192300178}, {\"gmean_Valence\": 2.3284355309218, \"percentile_measure\": 1.8697827053221}, {\"gmean_Valence\": 2.41369038206807, \"percentile_measure\": 1.86295887342351}, {\"gmean_Valence\": 3.02241878101881, \"percentile_measure\": 1.85978784244981}, {\"gmean_Valence\": 2.58341668418149, \"percentile_measure\": 1.85699320073074}, {\"gmean_Valence\": 1.91947121957741, \"percentile_measure\": 1.85378525761353}, {\"gmean_Valence\": 3.20265777111539, \"percentile_measure\": 1.8421569219067}, {\"gmean_Valence\": 3.12031850602576, \"percentile_measure\": 1.81733482155065}, {\"gmean_Valence\": 2.47939698673123, \"percentile_measure\": 1.8140822520297}, {\"gmean_Valence\": 2.33986162551737, \"percentile_measure\": 1.80996587075528}, {\"gmean_Valence\": 2.51699790128365, \"percentile_measure\": 1.80950973800187}, {\"gmean_Valence\": 2.41565251562535, \"percentile_measure\": 1.79212646766879}, {\"gmean_Valence\": 2.66709661118172, \"percentile_measure\": 1.77527186476225}, {\"gmean_Valence\": 2.1192680453341, \"percentile_measure\": 1.76407509393047}, {\"gmean_Valence\": 2.99379516552391, \"percentile_measure\": 1.74845851929373}, {\"gmean_Valence\": 2.74945927399721, \"percentile_measure\": 1.74736080087872}, {\"gmean_Valence\": 2.2456485239871, \"percentile_measure\": 1.74382990503907}, {\"gmean_Valence\": 2.62725340283858, \"percentile_measure\": 1.73771455455184}, {\"gmean_Valence\": 2.37956557896877, \"percentile_measure\": 1.7343987343043}, {\"gmean_Valence\": 2.93559853524414, \"percentile_measure\": 1.72934809063458}, {\"gmean_Valence\": 2.79816641433953, \"percentile_measure\": 1.72719532356663}, {\"gmean_Valence\": 2.88449914061482, \"percentile_measure\": 1.72645826803197}, {\"gmean_Valence\": 2.32998610150143, \"percentile_measure\": 1.72439575581635}, {\"gmean_Valence\": 2.95956724535459, \"percentile_measure\": 1.71863188083424}, {\"gmean_Valence\": 2.77899098874627, \"percentile_measure\": 1.71686134046251}, {\"gmean_Valence\": 2.13982638786733, \"percentile_measure\": 1.70693484598984}, {\"gmean_Valence\": 2.86900579917019, \"percentile_measure\": 1.69913239757279}, {\"gmean_Valence\": 2.24492409661875, \"percentile_measure\": 1.69660074653119}, {\"gmean_Valence\": 2.40187391035201, \"percentile_measure\": 1.69385961107672}, {\"gmean_Valence\": 2.27970456209519, \"percentile_measure\": 1.69189525319668}, {\"gmean_Valence\": 2.28942848510666, \"percentile_measure\": 1.68495220446696}, {\"gmean_Valence\": 2.61532097202366, \"percentile_measure\": 1.67425268391629}, {\"gmean_Valence\": 3.0861636884341, \"percentile_measure\": 1.66863790981051}, {\"gmean_Valence\": 2.69601230919456, \"percentile_measure\": 1.66241301331261}, {\"gmean_Valence\": 2.56979658685065, \"percentile_measure\": 1.66035168326593}, {\"gmean_Valence\": 3.01027976821604, \"percentile_measure\": 1.65864447947872}, {\"gmean_Valence\": 2.46438185834731, \"percentile_measure\": 1.65287470340817}, {\"gmean_Valence\": 2.88907268898342, \"percentile_measure\": 1.64886139265867}, {\"gmean_Valence\": 3.25984442754959, \"percentile_measure\": 1.63891968442051}, {\"gmean_Valence\": 2.41827117512196, \"percentile_measure\": 1.63545999165072}, {\"gmean_Valence\": 2.71441761659491, \"percentile_measure\": 1.63005259146274}, {\"gmean_Valence\": 1.78179743628068, \"percentile_measure\": 1.60444040162963}, {\"gmean_Valence\": 2.90419122184086, \"percentile_measure\": 1.59276944343685}, {\"gmean_Valence\": 2.70192007704123, \"percentile_measure\": 1.59175741225603}, {\"gmean_Valence\": 2.49288287167843, \"percentile_measure\": 1.58856406382236}, {\"gmean_Valence\": 2.87098773937074, \"percentile_measure\": 1.57913731117173}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 83.17}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..78b6381391981dcb2639dd88c5fd419cda897853 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:01:15.052634+00:00", + "ended_at": "2026-05-19T16:01:50.545867+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_6454b989b1a891ba", + "problem_id": "v2p_n5_735ad69e03ce9e37", + "dataset_id": "n5", + "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=gmean_Valence, measure_col=wtd_entropy_atomic_mass.", + "bindings": { + "group_col": "gmean_Valence", + "measure_col": "wtd_entropy_atomic_mass", + "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": 1.217906, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_6454b989b1a891ba.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_6454b989b1a891ba", + "api_calls": 0, + "input_tokens": 25618, + "cached_input_tokens": 12032, + "output_tokens": 2189, + "total_tokens": 27807, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 35396.44, + "sql_execution_elapsed_ms_total": 83.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..19b918c608cf1255b65deeccbc4b5b4d03312394 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:01:50.460553+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 35396.44, "started_at": "2026-05-19T16:01:15.062896+00:00", "ended_at": "2026-05-19T16:01:50.459370+00:00", "prompt_metrics": {"chars": 45022, "bytes_utf8": 45022, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 1122, "bytes_utf8": 1122, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25618, "cached_input_tokens": 12032, "output_tokens": 2189, "reasoning_output_tokens": 1843}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"typed\\\" AS (\\n SELECT\\n CAST(\\\"gmean_Valence\\\" AS REAL) AS \\\"gmean_Valence\\\",\\n CAST(\\\"wtd_entropy_atomic_mass\\\" AS REAL) AS \\\"wtd_entropy_atomic_mass\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"gmean_Valence\\\" IS NOT NULL\\n AND \\\"wtd_entropy_atomic_mass\\\" IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"gmean_Valence\\\",\\n \\\"wtd_entropy_atomic_mass\\\",\\n COUNT(*) OVER (PARTITION BY \\\"gmean_Valence\\\") AS \\\"group_size\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"gmean_Valence\\\"\\n ORDER BY \\\"wtd_entropy_atomic_mass\\\"\\n ) AS \\\"cume_dist\\\"\\n FROM \\\"typed\\\"\\n)\\nSELECT\\n \\\"gmean_Valence\\\",\\n MIN(\\\"wtd_entropy_atomic_mass\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist\\\" >= 0.95\\n AND \\\"group_size\\\" >= 5\\nGROUP BY \\\"gmean_Valence\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses CUME_DIST() to return the nearest-rank 95th percentile point for CAST"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3f1c1775c56f59d46f744ccfc189194740221263 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_6454b989b1a891ba", + "api_calls": 0, + "input_tokens": 25618, + "cached_input_tokens": 12032, + "output_tokens": 2189, + "total_tokens": 27807, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 35396.44, + "sql_execution_elapsed_ms_total": 83.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6454b989b1a891ba/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9319f9bbc62400bb3ffa307e2963b686b0573c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/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=mean_Valence, group_col_2=gmean_Valence. +Result preview: [{"mean_Valence": "2.2", "gmean_Valence": "2.1689435423954", "row_count": 1206}, {"mean_Valence": "2.6", "gmean_Valence": "2.49146187923103", "row_count": 736}, {"mean_Valence": "2.4", "gmean_Valence": "2.35215804504935", "row_count": 688}, {"mean_Valence": "4.5", "gmean_Valence": "4.47213595499958", "row_count": 469}, {"mean_Valence": "2.5", "gmean_Valence": "2.40187391035201", "row_count": 418}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..16a14aabaceeea43603fb4511b4b75c41979368c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_6a2a7d5bb298edd1 +-- problem_id: v2p_n5_04ded6d692c21fc2 +-- realization_mode: agent +-- source_kind: agent +SELECT "mean_Valence", "gmean_Valence", COUNT(*) AS row_count +FROM "n5" +WHERE CAST("gmean_FusionHeat" AS REAL) >= 4.153467 +GROUP BY "mean_Valence", "gmean_Valence" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..92f75f7fc841a37055fe8365133cde512c48ba04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/query_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 \"mean_Valence\", \"gmean_Valence\", COUNT(*) AS row_count\nFROM \"n5\"\nWHERE CAST(\"gmean_FusionHeat\" AS REAL) >= 4.153467\nGROUP BY \"mean_Valence\", \"gmean_Valence\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"mean_Valence\\\", \\\"gmean_Valence\\\", COUNT(*) AS row_count\\nFROM \\\"n5\\\"\\nWHERE CAST(\\\"gmean_FusionHeat\\\" AS REAL) >= 4.153467\\nGROUP BY \\\"mean_Valence\\\", \\\"gmean_Valence\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"mean_Valence\", \"gmean_Valence\", \"row_count\"], \"rows\": [{\"mean_Valence\": \"2.2\", \"gmean_Valence\": \"2.1689435423954\", \"row_count\": 1206}, {\"mean_Valence\": \"2.6\", \"gmean_Valence\": \"2.49146187923103\", \"row_count\": 736}, {\"mean_Valence\": \"2.4\", \"gmean_Valence\": \"2.35215804504935\", \"row_count\": 688}, {\"mean_Valence\": \"4.5\", \"gmean_Valence\": \"4.47213595499958\", \"row_count\": 469}, {\"mean_Valence\": \"2.5\", \"gmean_Valence\": \"2.40187391035201\", \"row_count\": 418}, {\"mean_Valence\": \"2.33333333333333\", \"gmean_Valence\": \"2.28942848510666\", \"row_count\": 391}, {\"mean_Valence\": \"5\", \"gmean_Valence\": \"4.89897948556636\", \"row_count\": 383}, {\"mean_Valence\": \"4\", \"gmean_Valence\": \"3.91486764116886\", \"row_count\": 372}, {\"mean_Valence\": \"5.5\", \"gmean_Valence\": \"5.47722557505166\", \"row_count\": 351}, {\"mean_Valence\": \"4.33333333333333\", \"gmean_Valence\": \"4.16016764610381\", \"row_count\": 338}, {\"mean_Valence\": \"2.6\", \"gmean_Valence\": \"2.40224886796286\", \"row_count\": 337}, {\"mean_Valence\": \"6\", \"gmean_Valence\": \"6\", \"row_count\": 317}, {\"mean_Valence\": \"2.66666666666667\", \"gmean_Valence\": \"2.49288287167843\", \"row_count\": 305}, {\"mean_Valence\": \"4\", \"gmean_Valence\": \"3.87298334620742\", \"row_count\": 276}, {\"mean_Valence\": \"3.5\", \"gmean_Valence\": \"3.46410161513775\", \"row_count\": 262}, {\"mean_Valence\": \"2.83333333333333\", \"gmean_Valence\": \"2.61532097202366\", \"row_count\": 250}, {\"mean_Valence\": \"3\", \"gmean_Valence\": \"2.88449914061482\", \"row_count\": 229}, {\"mean_Valence\": \"3\", \"gmean_Valence\": \"3\", \"row_count\": 222}, {\"mean_Valence\": \"4.5\", \"gmean_Valence\": \"4.24264068711928\", \"row_count\": 222}, {\"mean_Valence\": \"2.16666666666667\", \"gmean_Valence\": \"2.13982638786733\", \"row_count\": 212}, {\"mean_Valence\": \"2.8\", \"gmean_Valence\": \"2.60517108469735\", \"row_count\": 207}, {\"mean_Valence\": \"5\", \"gmean_Valence\": \"4.93242414866094\", \"row_count\": 204}, {\"mean_Valence\": \"4\", \"gmean_Valence\": \"4\", \"row_count\": 189}, {\"mean_Valence\": \"5\", \"gmean_Valence\": \"5\", \"row_count\": 174}, {\"mean_Valence\": \"5\", \"gmean_Valence\": \"4.7622031559046\", \"row_count\": 170}, {\"mean_Valence\": \"3\", \"gmean_Valence\": \"2.93015605158352\", \"row_count\": 154}, {\"mean_Valence\": \"3\", \"gmean_Valence\": \"2.70192007704123\", \"row_count\": 152}, {\"mean_Valence\": \"3.5\", \"gmean_Valence\": \"3.30975091964687\", \"row_count\": 147}, {\"mean_Valence\": \"2.25\", \"gmean_Valence\": \"2.21336383940064\", \"row_count\": 145}, {\"mean_Valence\": \"2.75\", \"gmean_Valence\": \"2.34034731932072\", \"row_count\": 143}, {\"mean_Valence\": \"4.33333333333333\", \"gmean_Valence\": \"4.30886938006377\", \"row_count\": 136}, {\"mean_Valence\": \"2.85714285714286\", \"gmean_Valence\": \"2.66709661118172\", \"row_count\": 135}, {\"mean_Valence\": \"3.66666666666667\", \"gmean_Valence\": \"3.63424118566428\", \"row_count\": 131}, {\"mean_Valence\": \"4.66666666666667\", \"gmean_Valence\": \"4.64158883361278\", \"row_count\": 129}, {\"mean_Valence\": \"3\", \"gmean_Valence\": \"2.82842712474619\", \"row_count\": 128}, {\"mean_Valence\": \"2.5\", \"gmean_Valence\": \"2.44948974278318\", \"row_count\": 127}, {\"mean_Valence\": \"4.25\", \"gmean_Valence\": \"4.11953428781424\", \"row_count\": 127}, {\"mean_Valence\": \"3\", \"gmean_Valence\": \"2.79816641433953\", \"row_count\": 117}, {\"mean_Valence\": \"4.66666666666667\", \"gmean_Valence\": \"4.48140474655716\", \"row_count\": 117}, {\"mean_Valence\": \"3\", \"gmean_Valence\": \"2.91295063024394\", \"row_count\": 113}, {\"mean_Valence\": \"3.16666666666667\", \"gmean_Valence\": \"2.88449914061482\", \"row_count\": 108}, {\"mean_Valence\": \"4.66666666666667\", \"gmean_Valence\": \"4.57885697021333\", \"row_count\": 108}, {\"mean_Valence\": \"2.42857142857143\", \"gmean_Valence\": \"2.33986162551737\", \"row_count\": 105}, {\"mean_Valence\": \"3.66666666666667\", \"gmean_Valence\": \"3.55689330449006\", \"row_count\": 102}, {\"mean_Valence\": \"6.5\", \"gmean_Valence\": \"6.48074069840786\", \"row_count\": 100}, {\"mean_Valence\": \"3.33333333333333\", \"gmean_Valence\": \"3.30192724889463\", \"row_count\": 98}, {\"mean_Valence\": \"4\", \"gmean_Valence\": \"3.77976314968462\", \"row_count\": 91}, {\"mean_Valence\": \"2.66666666666667\", \"gmean_Valence\": \"2.6207413942089\", \"row_count\": 85}, {\"mean_Valence\": \"4\", \"gmean_Valence\": \"3.66284150148471\", \"row_count\": 85}, {\"mean_Valence\": \"4\", \"gmean_Valence\": \"3.63424118566428\", \"row_count\": 84}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 27.23}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6c51ecd7f0711a8f93a80a77bc286a1a8448ea57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:49:29.547092+00:00", + "ended_at": "2026-05-19T15:49:39.831296+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_6a2a7d5bb298edd1", + "problem_id": "v2p_n5_04ded6d692c21fc2", + "dataset_id": "n5", + "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=mean_Valence, group_col_2=gmean_Valence.", + "bindings": { + "group_col": "mean_Valence", + "group_col_2": "gmean_Valence", + "predicate_col": "gmean_FusionHeat", + "predicate_op": ">=", + "predicate_value": 4.153467, + "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": 4.153467, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_6a2a7d5bb298edd1.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_6a2a7d5bb298edd1", + "api_calls": 0, + "input_tokens": 25678, + "cached_input_tokens": 12032, + "output_tokens": 355, + "total_tokens": 26033, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10242.41, + "sql_execution_elapsed_ms_total": 27.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fa3950f39948c0fa921443f47ad6494f07936e0d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:39.801187+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10242.41, "started_at": "2026-05-19T15:49:29.557746+00:00", "ended_at": "2026-05-19T15:49:39.800190+00:00", "prompt_metrics": {"chars": 45141, "bytes_utf8": 45141, "lines": 1084, "estimated_tokens": null}, "response_metrics": {"chars": 478, "bytes_utf8": 478, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25678, "cached_input_tokens": 12032, "output_tokens": 355, "reasoning_output_tokens": 219}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"mean_Valence\\\", \\\"gmean_Valence\\\", COUNT(*) AS row_count\\nFROM \\\"n5\\\"\\nWHERE CAST(\\\"gmean_FusionHeat\\\" AS REAL) >= 4.153467\\nGROUP BY \\\"mean_Valence\\\", \\\"gmean_Valence\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the planned filtered two-dimensional group count template with mean_Valence and gmean_Valence as grouping columns, and cast gmean_FusionHeat to REAL because the SQLite schema stores fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f4ceb8254038597bf0939d6e57bbab8474a8b883 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_6a2a7d5bb298edd1", + "api_calls": 0, + "input_tokens": 25678, + "cached_input_tokens": 12032, + "output_tokens": 355, + "total_tokens": 26033, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10242.41, + "sql_execution_elapsed_ms_total": 27.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6a2a7d5bb298edd1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6af6a4905e892bfa/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6af6a4905e892bfa/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..475eb6434bbfb221dffe38d0fbf4bdb29cccdd62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6af6a4905e892bfa/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 \"cleaned\" AS (\n SELECT\n CAST(\"range_atomic_radius\" AS REAL) AS \"range_atomic_radius\",\n CAST(\"mean_fie\" AS REAL) AS \"mean_fie\"\n FROM \"n5\"\n WHERE \"range_atomic_radius\" IS NOT NULL\n AND TRIM(\"range_atomic_radius\") <> ''\n AND \"mean_fie\" IS NOT NULL\n AND TRIM(\"mean_fie\") <> ''\n),\n\"ranked\" AS (\n SELECT\n \"range_atomic_radius\",\n \"mean_fie\",\n ROW_NUMBER() OVER (\n PARTITION BY \"range_atomic_radius\"\n ORDER BY \"mean_fie\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"range_atomic_radius\"\n ) AS \"cnt\"\n FROM \"cleaned\"\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"range_atomic_radius\",\n \"cnt\",\n (1.0 + (0.95 * (\"cnt\" - 1))) AS \"pos\",\n CAST(1.0 + (0.95 * (\"cnt\" - 1)) AS INT) AS \"frn\",\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) + 1\n ELSE CAST(1.0 + (0.95 * (\"cnt\" - 1)) AS INT)\n END AS \"crn\"\n FROM \"ranked\"\n)\nSELECT\n r.\"range_atomic_radius\",\n CASE\n WHEN p.\"frn\" = p.\"crn\" THEN MAX(CASE WHEN r.\"rn\" = p.\"frn\" THEN r.\"mean_fie\" END)\n ELSE\n ((p.\"crn\" - p.\"pos\") * MAX(CASE WHEN r.\"rn\" = p.\"frn\" THEN r.\"mean_fie\" END)) +\n ((p.\"pos\" - p.\"frn\") * MAX(CASE WHEN r.\"rn\" = p.\"crn\" THEN r.\"mean_fie\" END))\n END AS \"percentile_measure\"\nFROM \"ranked\" AS r\nJOIN \"positions\" AS p\n ON r.\"range_atomic_radius\" = p.\"range_atomic_radius\"\nGROUP BY\n r.\"range_atomic_radius\",\n p.\"cnt\",\n p.\"pos\",\n p.\"frn\",\n p.\"crn\"\nHAVING p.\"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"cleaned\\\" AS (\\n SELECT\\n CAST(\\\"range_atomic_radius\\\" AS REAL) AS \\\"range_atomic_radius\\\",\\n CAST(\\\"mean_fie\\\" AS REAL) AS \\\"mean_fie\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"range_atomic_radius\\\" IS NOT NULL\\n AND TRIM(\\\"range_atomic_radius\\\") <> ''\\n AND \\\"mean_fie\\\" IS NOT NULL\\n AND TRIM(\\\"mean_fie\\\") <> ''\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"range_atomic_radius\\\",\\n \\\"mean_fie\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"range_atomic_radius\\\"\\n ORDER BY \\\"mean_fie\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"range_atomic_radius\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"cleaned\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"range_atomic_radius\\\",\\n \\\"cnt\\\",\\n (1.0 + (0.95 * (\\\"cnt\\\" - 1))) AS \\\"pos\\\",\\n CAST(1.0 + (0.95 * (\\\"cnt\\\" - 1)) AS INT) AS \\\"frn\\\",\\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) + 1\\n ELSE CAST(1.0 + (0.95 * (\\\"cnt\\\" - 1)) AS INT)\\n END AS \\\"crn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n r.\\\"range_atomic_radius\\\",\\n CASE\\n WHEN p.\\\"frn\\\" = p.\\\"crn\\\" THEN MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"frn\\\" THEN r.\\\"mean_fie\\\" END)\\n ELSE\\n ((p.\\\"crn\\\" - p.\\\"pos\\\") * MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"frn\\\" THEN r.\\\"mean_fie\\\" END)) +\\n ((p.\\\"pos\\\" - p.\\\"frn\\\") * MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"crn\\\" THEN r.\\\"mean_fie\\\" END))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\" AS r\\nJOIN \\\"positions\\\" AS p\\n ON r.\\\"range_atomic_radius\\\" = p.\\\"range_atomic_radius\\\"\\nGROUP BY\\n r.\\\"range_atomic_radius\\\",\\n p.\\\"cnt\\\",\\n p.\\\"pos\\\",\\n p.\\\"frn\\\",\\n p.\\\"crn\\\"\\nHAVING p.\\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 12;\", \"columns\": [\"range_atomic_radius\", \"percentile_measure\"], \"rows\": [{\"range_atomic_radius\": 151.0, \"percentile_measure\": 1254.26666666667}, {\"range_atomic_radius\": 123.0, \"percentile_measure\": 1250.83875}, {\"range_atomic_radius\": 31.0, \"percentile_measure\": 1200.25}, {\"range_atomic_radius\": 101.0, \"percentile_measure\": 1173.75}, {\"range_atomic_radius\": 34.0, \"percentile_measure\": 1155.15}, {\"range_atomic_radius\": 150.0, \"percentile_measure\": 1115.7166666666699}, {\"range_atomic_radius\": 0.0, \"percentile_measure\": 1085.7}, {\"range_atomic_radius\": 144.0, \"percentile_measure\": 1082.43333333333}, {\"range_atomic_radius\": 132.0, \"percentile_measure\": 1080.3}, {\"range_atomic_radius\": 164.0, \"percentile_measure\": 1067.4}, {\"range_atomic_radius\": 153.0, \"percentile_measure\": 1060.9}, {\"range_atomic_radius\": 116.0, \"percentile_measure\": 1057.4}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 91.19}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6af6a4905e892bfa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6af6a4905e892bfa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6998f5946ede77d33dee58540ff7db9228021d6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6af6a4905e892bfa/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:06:46.899373+00:00", + "ended_at": "2026-05-19T16:07:26.239547+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_6af6a4905e892bfa", + "problem_id": "v2p_n5_32e0be206fa14a5f", + "dataset_id": "n5", + "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=range_atomic_radius, measure_col=mean_fie.", + "bindings": { + "group_col": "range_atomic_radius", + "measure_col": "mean_fie", + "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": 782.425, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=92" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_6af6a4905e892bfa.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_6af6a4905e892bfa", + "api_calls": 0, + "input_tokens": 25611, + "cached_input_tokens": 12032, + "output_tokens": 2379, + "total_tokens": 27990, + "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": 38232.3, + "sql_execution_elapsed_ms_total": 91.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6af6a4905e892bfa/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6af6a4905e892bfa/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6af6a4905e892bfa/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2d2d9f20c29947c36bffb08c46880bc7e23a42a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6af6a4905e892bfa/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_6af6a4905e892bfa", + "api_calls": 0, + "input_tokens": 25611, + "cached_input_tokens": 12032, + "output_tokens": 2379, + "total_tokens": 27990, + "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": 38232.3, + "sql_execution_elapsed_ms_total": 91.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6af6a4905e892bfa/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba8a65ce0a853405cefc0eb8cf9024ae36809639 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/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=number_of_elements, measure_col=number_of_elements. +Result preview: [{"number_of_elements": "5", "total_measure": 28960.0}, {"number_of_elements": "4", "total_measure": 17984.0}, {"number_of_elements": "6", "total_measure": 15996.0}, {"number_of_elements": "3", "total_measure": 11685.0}, {"number_of_elements": "2", "total_measure": 6560.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0cc2415311c1ea5429f6ece79c2a1026f6128f56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_6c623e08282011e5 +-- problem_id: v2p_n5_0559cfadf4bdc306 +-- realization_mode: agent +-- source_kind: agent +SELECT "number_of_elements", SUM(CAST("number_of_elements" AS REAL)) AS total_measure +FROM "n5" +GROUP BY "number_of_elements" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c218dac4f998e28e3623662413043bcd81213bab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/query_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 \"number_of_elements\", SUM(CAST(\"number_of_elements\" AS REAL)) AS total_measure\nFROM \"n5\"\nGROUP BY \"number_of_elements\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"number_of_elements\\\", SUM(CAST(\\\"number_of_elements\\\" AS REAL)) AS total_measure\\nFROM \\\"n5\\\"\\nGROUP BY \\\"number_of_elements\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"number_of_elements\", \"total_measure\"], \"rows\": [{\"number_of_elements\": \"5\", \"total_measure\": 28960.0}, {\"number_of_elements\": \"4\", \"total_measure\": 17984.0}, {\"number_of_elements\": \"6\", \"total_measure\": 15996.0}, {\"number_of_elements\": \"3\", \"total_measure\": 11685.0}, {\"number_of_elements\": \"2\", \"total_measure\": 6560.0}, {\"number_of_elements\": \"7\", \"total_measure\": 5418.0}, {\"number_of_elements\": \"8\", \"total_measure\": 488.0}, {\"number_of_elements\": \"1\", \"total_measure\": 285.0}, {\"number_of_elements\": \"9\", \"total_measure\": 126.0}], \"row_count_returned\": 9, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 22.92}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b4bed9b2b807f48f7a7942f685cd18dede559a34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:28:17.980379+00:00", + "ended_at": "2026-05-19T15:28:29.605244+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_6c623e08282011e5", + "problem_id": "v2p_n5_0559cfadf4bdc306", + "dataset_id": "n5", + "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=number_of_elements, measure_col=number_of_elements.", + "bindings": { + "group_col": "number_of_elements", + "measure_col": "number_of_elements", + "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": 5.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "notes": [ + "default_facets=subgroup_distribution_shift,subgroup_rank_order,subgroup_conditional_contrast", + "template_selection_mode=rule", + "problem_index_within_template=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_c/n5/sql/v2q_n5_6c623e08282011e5.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_6c623e08282011e5", + "api_calls": 0, + "input_tokens": 25573, + "cached_input_tokens": 4480, + "output_tokens": 415, + "total_tokens": 25988, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11585.53, + "sql_execution_elapsed_ms_total": 22.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..463e935831663543453a438c2ff292ed812202bb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:28:29.579971+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 11585.53, "started_at": "2026-05-19T15:28:17.993364+00:00", "ended_at": "2026-05-19T15:28:29.578917+00:00", "prompt_metrics": {"chars": 44836, "bytes_utf8": 44836, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 411, "bytes_utf8": 411, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25573, "cached_input_tokens": 4480, "output_tokens": 415, "reasoning_output_tokens": 312}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"number_of_elements\\\", SUM(CAST(\\\"number_of_elements\\\" AS REAL)) AS total_measure\\nFROM \\\"n5\\\"\\nGROUP BY \\\"number_of_elements\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the provided Grouped Numeric Sum template with group_col and measure_col both bound to \\\"number_of_elements\\\". CAST to REAL is added because the SQLite schema stores this field as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6a7b5b643658e7cb05f52916da612b5e22a96e2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_6c623e08282011e5", + "api_calls": 0, + "input_tokens": 25573, + "cached_input_tokens": 4480, + "output_tokens": 415, + "total_tokens": 25988, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11585.53, + "sql_execution_elapsed_ms_total": 22.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6c623e08282011e5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6df1feda1c1995aa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6df1feda1c1995aa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5554f35516a3fd692cd72569b6ba7e6391e664de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6df1feda1c1995aa/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:11:52.655947+00:00", + "ended_at": "2026-05-19T16:12:00.290582+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_6df1feda1c1995aa", + "problem_id": "v2p_n5_b7e0dd5ecd6c98f3", + "dataset_id": "n5", + "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=gmean_Valence.", + "bindings": { + "group_col": "gmean_Valence", + "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": 77.2375, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=3", + "sql_variant_index=2/2", + "binding_index=122" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 3, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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_c/n5/artifacts/v2q_n5_6df1feda1c1995aa/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6df1feda1c1995aa/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0d4f837ef7194e757b3d68f881ef8b827724f781 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_6df1feda1c1995aa/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:11:56.015476+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": 3346.23, "started_at": "2026-05-19T16:11:52.668337+00:00", "ended_at": "2026-05-19T16:11:56.014594+00:00", "prompt_metrics": {"chars": 44801, "bytes_utf8": 44801, "lines": 1078, "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\":\"019e4102-08d9-7c40-865c-8af5faa62abd\"}\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": "2026-05-19T16:12:00.290478+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": 3272.63, "started_at": "2026-05-19T16:11:57.016821+00:00", "ended_at": "2026-05-19T16:12:00.289482+00:00", "prompt_metrics": {"chars": 44801, "bytes_utf8": 44801, "lines": 1078, "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\":\"019e4102-19f2-7f23-8b0b-6f69be95e074\"}\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_c/n5/artifacts/v2q_n5_7097daa9e0ccb750/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7097daa9e0ccb750/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..b23811ca67ef4ddb92c0d43fafe6bf8d9938507f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7097daa9e0ccb750/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:56:09.702312+00:00", + "ended_at": "2026-05-19T15:56:17.397653+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_7097daa9e0ccb750", + "problem_id": "v2p_n5_6edb705b49198e73", + "dataset_id": "n5", + "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=mean_Valence, measure_col=wtd_std_Valence.", + "bindings": { + "group_col": "mean_Valence", + "measure_col": "wtd_std_Valence", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.489197, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=79" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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_c/n5/artifacts/v2q_n5_7097daa9e0ccb750/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7097daa9e0ccb750/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e9ebc55fc4bcfac405d1ff5c1f6c70b5b5cbc3d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7097daa9e0ccb750/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:56:13.151362+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": 3433.86, "started_at": "2026-05-19T15:56:09.716658+00:00", "ended_at": "2026-05-19T15:56:13.150546+00:00", "prompt_metrics": {"chars": 45379, "bytes_utf8": 45379, "lines": 1080, "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-a589-70b3-ac5a-f00be944a71f\"}\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": "2026-05-19T15:56:17.397561+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": 3242.58, "started_at": "2026-05-19T15:56:14.154059+00:00", "ended_at": "2026-05-19T15:56:17.396690+00:00", "prompt_metrics": {"chars": 45379, "bytes_utf8": 45379, "lines": 1080, "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-b6da-7820-9f9d-cdc8bb7204ca\"}\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_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ad6f6f1d04ea679c24bcbd95ba948b7b4a51e17c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/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=mean_Valence, condition_col=range_Valence. +Result preview: [{"mean_Valence": "2.75", "condition_ratio": 27.166666666666668}, {"mean_Valence": "2.42857142857143", "condition_ratio": 15.571428571428571}, {"mean_Valence": "4.25", "condition_ratio": 9.5}, {"mean_Valence": "2.5", "condition_ratio": 3.1772151898734178}, {"mean_Valence": "4.75", "condition_ratio": 2.5}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..eb52ffa18c8cb1a6e9da378ee6800b9c32965ada --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_71cb19e37ce7bc52 +-- problem_id: v2p_n5_07eb306f3d2d9485 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "mean_Valence", + SUM(CASE WHEN "range_Valence" = '2' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "range_Valence" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "n5" + GROUP BY "mean_Valence" +) +SELECT "mean_Valence", + 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_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2654170efed81dc176855da1b02740cffb5edf34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/query_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 \"mean_Valence\",\n SUM(CASE WHEN \"range_Valence\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"range_Valence\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n5\"\n GROUP BY \"mean_Valence\"\n)\nSELECT \"mean_Valence\",\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 \\\"mean_Valence\\\",\\n SUM(CASE WHEN \\\"range_Valence\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"range_Valence\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n5\\\"\\n GROUP BY \\\"mean_Valence\\\"\\n)\\nSELECT \\\"mean_Valence\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"mean_Valence\", \"condition_ratio\"], \"rows\": [{\"mean_Valence\": \"2.75\", \"condition_ratio\": 27.166666666666668}, {\"mean_Valence\": \"2.42857142857143\", \"condition_ratio\": 15.571428571428571}, {\"mean_Valence\": \"4.25\", \"condition_ratio\": 9.5}, {\"mean_Valence\": \"2.5\", \"condition_ratio\": 3.1772151898734178}, {\"mean_Valence\": \"4.75\", \"condition_ratio\": 2.5}, {\"mean_Valence\": \"5.33333333333333\", \"condition_ratio\": 2.0}, {\"mean_Valence\": \"2.66666666666667\", \"condition_ratio\": 1.3488372093023255}, {\"mean_Valence\": \"3.25\", \"condition_ratio\": 1.1176470588235294}, {\"mean_Valence\": \"1.75\", \"condition_ratio\": 1.0}, {\"mean_Valence\": \"4.66666666666667\", \"condition_ratio\": 0.8372093023255814}, {\"mean_Valence\": \"3.66666666666667\", \"condition_ratio\": 0.8015267175572519}, {\"mean_Valence\": \"3.33333333333333\", \"condition_ratio\": 0.7676767676767676}, {\"mean_Valence\": \"3.75\", \"condition_ratio\": 0.625}, {\"mean_Valence\": \"2.375\", \"condition_ratio\": 0.2857142857142857}, {\"mean_Valence\": \"4.33333333333333\", \"condition_ratio\": 0.22058823529411764}, {\"mean_Valence\": \"2.14285714285714\", \"condition_ratio\": 0.11538461538461539}, {\"mean_Valence\": \"2.33333333333333\", \"condition_ratio\": 0.07922912205567452}, {\"mean_Valence\": \"2.4\", \"condition_ratio\": 0.06868451688009314}, {\"mean_Valence\": \"3.5\", \"condition_ratio\": 0.052980132450331126}, {\"mean_Valence\": \"4.5\", \"condition_ratio\": 0.039832285115303984}, {\"mean_Valence\": \"2.16666666666667\", \"condition_ratio\": 0.03816793893129771}, {\"mean_Valence\": \"5.66666666666667\", \"condition_ratio\": 0.031746031746031744}, {\"mean_Valence\": \"5.5\", \"condition_ratio\": 0.031161473087818695}, {\"mean_Valence\": \"2.25\", \"condition_ratio\": 0.006372809346787042}, {\"mean_Valence\": \"1.25\", \"condition_ratio\": 0.0}, {\"mean_Valence\": \"1.33333333333333\", \"condition_ratio\": 0.0}, {\"mean_Valence\": \"1.5\", \"condition_ratio\": 0.0}, {\"mean_Valence\": \"1.66666666666667\", \"condition_ratio\": 0.0}, {\"mean_Valence\": \"1.8\", \"condition_ratio\": 0.0}, {\"mean_Valence\": \"1.83333333333333\", \"condition_ratio\": 0.0}, {\"mean_Valence\": \"2.2\", \"condition_ratio\": 0.0}, {\"mean_Valence\": \"2.28571428571429\", \"condition_ratio\": 0.0}, {\"mean_Valence\": \"5.75\", \"condition_ratio\": 0.0}, {\"mean_Valence\": \"6.33333333333333\", \"condition_ratio\": 0.0}, {\"mean_Valence\": \"6.5\", \"condition_ratio\": 0.0}, {\"mean_Valence\": \"1\", \"condition_ratio\": null}, {\"mean_Valence\": \"2\", \"condition_ratio\": null}, {\"mean_Valence\": \"2.55555555555556\", \"condition_ratio\": null}, {\"mean_Valence\": \"2.57142857142857\", \"condition_ratio\": null}, {\"mean_Valence\": \"2.6\", \"condition_ratio\": null}, {\"mean_Valence\": \"2.71428571428571\", \"condition_ratio\": null}, {\"mean_Valence\": \"2.8\", \"condition_ratio\": null}, {\"mean_Valence\": \"2.83333333333333\", \"condition_ratio\": null}, {\"mean_Valence\": \"2.85714285714286\", \"condition_ratio\": null}, {\"mean_Valence\": \"2.875\", \"condition_ratio\": null}, {\"mean_Valence\": \"3\", \"condition_ratio\": null}, {\"mean_Valence\": \"3.14285714285714\", \"condition_ratio\": null}, {\"mean_Valence\": \"3.16666666666667\", \"condition_ratio\": null}, {\"mean_Valence\": \"3.2\", \"condition_ratio\": null}, {\"mean_Valence\": \"3.28571428571429\", \"condition_ratio\": null}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 24.02}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e7935ef73212da50679de944f0f0567d7304e156 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:45:28.368178+00:00", + "ended_at": "2026-05-19T15:45:40.662637+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_71cb19e37ce7bc52", + "problem_id": "v2p_n5_07eb306f3d2d9485", + "dataset_id": "n5", + "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=mean_Valence, condition_col=range_Valence.", + "bindings": { + "group_col": "mean_Valence", + "condition_col": "range_Valence", + "condition_value": "2", + "positive_value": "2", + "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": 16320.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_71cb19e37ce7bc52.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_71cb19e37ce7bc52", + "api_calls": 0, + "input_tokens": 25787, + "cached_input_tokens": 12032, + "output_tokens": 370, + "total_tokens": 26157, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12256.4, + "sql_execution_elapsed_ms_total": 24.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b4601d5ad3f5489be5ab08ac68e28e0611bf95ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:40.636841+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12256.4, "started_at": "2026-05-19T15:45:28.379227+00:00", "ended_at": "2026-05-19T15:45:40.635657+00:00", "prompt_metrics": {"chars": 45623, "bytes_utf8": 45623, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 785, "bytes_utf8": 785, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25787, "cached_input_tokens": 12032, "output_tokens": 370, "reasoning_output_tokens": 160}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"mean_Valence\\\",\\n SUM(CASE WHEN \\\"range_Valence\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"range_Valence\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n5\\\"\\n GROUP BY \\\"mean_Valence\\\"\\n)\\nSELECT \\\"mean_Valence\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the provided grouped ratio template with group_col=\\\"mean_Valence\\\" and condition_col=\\\"range_Valence\\\". Compared the bound condition values as text literals because the SQLite schema stores these columns as TEXT; groups with no '1' rows yield NULL ratios via NULLIF.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9ab091e0e6675f70cb40b0cff4783085b475ec54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_71cb19e37ce7bc52", + "api_calls": 0, + "input_tokens": 25787, + "cached_input_tokens": 12032, + "output_tokens": 370, + "total_tokens": 26157, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12256.4, + "sql_execution_elapsed_ms_total": 24.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_71cb19e37ce7bc52/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..19a98ed8b318bdf19bebc883a3c0e2b12532457b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/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=wtd_gmean_ThermalConductivity. +Result preview: [{"wtd_gmean_ThermalConductivity": "376.032877586072"}, {"wtd_gmean_ThermalConductivity": "373.632857869563"}, {"wtd_gmean_ThermalConductivity": "358.713959364177"}, {"wtd_gmean_ThermalConductivity": "351.632540184802"}, {"wtd_gmean_ThermalConductivity": "348.677857557303"}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f2a0ecff11bc5df806ff6eca51922c3b1765dcf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/generated_sql.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_733572ff7364ec86 +-- problem_id: v2p_n5_ce28d1d94834fd5b +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "wtd_gmean_ThermalConductivity", + NTILE(10) OVER ( + ORDER BY CAST("wtd_gmean_ThermalConductivity" AS REAL) DESC + ) AS "tail_bucket" + FROM "n5" + WHERE "wtd_gmean_ThermalConductivity" IS NOT NULL + AND "wtd_gmean_ThermalConductivity" <> '' +) +SELECT "wtd_gmean_ThermalConductivity" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY CAST("wtd_gmean_ThermalConductivity" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..21cf47726ebc790e9f868be286757a62c05bfa7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/query_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 \"wtd_gmean_ThermalConductivity\",\n NTILE(10) OVER (\n ORDER BY CAST(\"wtd_gmean_ThermalConductivity\" AS REAL) DESC\n ) AS \"tail_bucket\"\n FROM \"n5\"\n WHERE \"wtd_gmean_ThermalConductivity\" IS NOT NULL\n AND \"wtd_gmean_ThermalConductivity\" <> ''\n)\nSELECT \"wtd_gmean_ThermalConductivity\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"wtd_gmean_ThermalConductivity\" AS REAL) DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"wtd_gmean_ThermalConductivity\\\",\\n NTILE(10) OVER (\\n ORDER BY CAST(\\\"wtd_gmean_ThermalConductivity\\\" AS REAL) DESC\\n ) AS \\\"tail_bucket\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"wtd_gmean_ThermalConductivity\\\" IS NOT NULL\\n AND \\\"wtd_gmean_ThermalConductivity\\\" <> ''\\n)\\nSELECT \\\"wtd_gmean_ThermalConductivity\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"wtd_gmean_ThermalConductivity\\\" AS REAL) DESC;\", \"columns\": [\"wtd_gmean_ThermalConductivity\"], \"rows\": [{\"wtd_gmean_ThermalConductivity\": \"376.032877586072\"}, {\"wtd_gmean_ThermalConductivity\": \"373.632857869563\"}, {\"wtd_gmean_ThermalConductivity\": \"358.713959364177\"}, {\"wtd_gmean_ThermalConductivity\": \"351.632540184802\"}, {\"wtd_gmean_ThermalConductivity\": \"348.677857557303\"}, {\"wtd_gmean_ThermalConductivity\": \"348.677857557303\"}, {\"wtd_gmean_ThermalConductivity\": \"348.039269081816\"}, {\"wtd_gmean_ThermalConductivity\": \"342.821643878945\"}, {\"wtd_gmean_ThermalConductivity\": \"337.682238621856\"}, {\"wtd_gmean_ThermalConductivity\": \"328.368440056347\"}, {\"wtd_gmean_ThermalConductivity\": \"322.346114284356\"}, {\"wtd_gmean_ThermalConductivity\": \"316.408762996583\"}, {\"wtd_gmean_ThermalConductivity\": \"315.098163901284\"}, {\"wtd_gmean_ThermalConductivity\": \"313.858634525725\"}, {\"wtd_gmean_ThermalConductivity\": \"312.193178248674\"}, {\"wtd_gmean_ThermalConductivity\": \"310.580772854337\"}, {\"wtd_gmean_ThermalConductivity\": \"310.556471407954\"}, {\"wtd_gmean_ThermalConductivity\": \"308.923444752744\"}, {\"wtd_gmean_ThermalConductivity\": \"308.563019668893\"}, {\"wtd_gmean_ThermalConductivity\": \"307.707157273308\"}, {\"wtd_gmean_ThermalConductivity\": \"306.96202299931\"}, {\"wtd_gmean_ThermalConductivity\": \"306.699287875248\"}, {\"wtd_gmean_ThermalConductivity\": \"306.594194335118\"}, {\"wtd_gmean_ThermalConductivity\": \"306.463305867064\"}, {\"wtd_gmean_ThermalConductivity\": \"305.68795658272\"}, {\"wtd_gmean_ThermalConductivity\": \"304.860129514931\"}, {\"wtd_gmean_ThermalConductivity\": \"304.499433504707\"}, {\"wtd_gmean_ThermalConductivity\": \"302.486355072566\"}, {\"wtd_gmean_ThermalConductivity\": \"300.93567854598\"}, {\"wtd_gmean_ThermalConductivity\": \"300.838597338469\"}, {\"wtd_gmean_ThermalConductivity\": \"300.838597338469\"}, {\"wtd_gmean_ThermalConductivity\": \"299.398769945507\"}, {\"wtd_gmean_ThermalConductivity\": \"299.318285312711\"}, {\"wtd_gmean_ThermalConductivity\": \"296.183396110707\"}, {\"wtd_gmean_ThermalConductivity\": \"295.934923458964\"}, {\"wtd_gmean_ThermalConductivity\": \"295.889791087572\"}, {\"wtd_gmean_ThermalConductivity\": \"295.280381148998\"}, {\"wtd_gmean_ThermalConductivity\": \"294.896630804667\"}, {\"wtd_gmean_ThermalConductivity\": \"293.733010703196\"}, {\"wtd_gmean_ThermalConductivity\": \"293.212372979551\"}, {\"wtd_gmean_ThermalConductivity\": \"293.081339952293\"}, {\"wtd_gmean_ThermalConductivity\": \"291.258582603354\"}, {\"wtd_gmean_ThermalConductivity\": \"290.908525791751\"}, {\"wtd_gmean_ThermalConductivity\": \"290.011772962874\"}, {\"wtd_gmean_ThermalConductivity\": \"290.004685397906\"}, {\"wtd_gmean_ThermalConductivity\": \"289.731360245394\"}, {\"wtd_gmean_ThermalConductivity\": \"287.128706487883\"}, {\"wtd_gmean_ThermalConductivity\": \"286.996077882886\"}, {\"wtd_gmean_ThermalConductivity\": \"286.974354869403\"}, {\"wtd_gmean_ThermalConductivity\": \"286.974354869403\"}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 56.46}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..73b79e228e13bdb76ead41e2a1a96fc643c367e3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:51:45.150065+00:00", + "ended_at": "2026-05-19T15:51:58.685775+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_733572ff7364ec86", + "problem_id": "v2p_n5_ce28d1d94834fd5b", + "dataset_id": "n5", + "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=wtd_gmean_ThermalConductivity.", + "bindings": { + "measure_col": "wtd_gmean_ThermalConductivity", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1.15877, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_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_c/n5/sql/v2q_n5_733572ff7364ec86.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_733572ff7364ec86", + "api_calls": 0, + "input_tokens": 25636, + "cached_input_tokens": 12032, + "output_tokens": 669, + "total_tokens": 26305, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13464.25, + "sql_execution_elapsed_ms_total": 56.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d99a1d80cc01505b67b687527952b0f3fdd316a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:58.626798+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13464.25, "started_at": "2026-05-19T15:51:45.161253+00:00", "ended_at": "2026-05-19T15:51:58.625523+00:00", "prompt_metrics": {"chars": 45013, "bytes_utf8": 45013, "lines": 1078, "estimated_tokens": null}, "response_metrics": {"chars": 759, "bytes_utf8": 759, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25636, "cached_input_tokens": 12032, "output_tokens": 669, "reasoning_output_tokens": 448}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"wtd_gmean_ThermalConductivity\\\",\\n NTILE(10) OVER (\\n ORDER BY CAST(\\\"wtd_gmean_ThermalConductivity\\\" AS REAL) DESC\\n ) AS \\\"tail_bucket\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"wtd_gmean_ThermalConductivity\\\" IS NOT NULL\\n AND \\\"wtd_gmean_ThermalConductivity\\\" <> ''\\n)\\nSELECT \\\"wtd_gmean_ThermalConductivity\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"wtd_gmean_ThermalConductivity\\\" AS REAL) DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with \\\"wtd_gmean_ThermalConductivity\\\" as the measure column, using NTILE(10) to return the top decile. CAST to REAL is used because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..194367b48599ccab2bed60243c981c80dbea3a72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_733572ff7364ec86", + "api_calls": 0, + "input_tokens": 25636, + "cached_input_tokens": 12032, + "output_tokens": 669, + "total_tokens": 26305, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13464.25, + "sql_execution_elapsed_ms_total": 56.46, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_733572ff7364ec86/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d383dee369a74be4838ce24fc4e36a116fb2a39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/final_answer.txt @@ -0,0 +1 @@ +No rows were returned for: Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=number_of_elements, measure_col=gmean_atomic_mass. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5f8489c75ad17afdeb51d2469064256f3f7dd102 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/generated_sql.sql @@ -0,0 +1,44 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_738ff0bbdbadd873 +-- problem_id: v2p_n5_6dab94c44df46b38 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "number_of_elements", + CAST("gmean_atomic_mass" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "number_of_elements" + ORDER BY CAST("gmean_atomic_mass" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "number_of_elements" + ) AS "cnt" + FROM "n5" + WHERE "number_of_elements" IS NOT NULL + AND "gmean_atomic_mass" IS NOT NULL + AND TRIM("number_of_elements") <> '' + AND TRIM("gmean_atomic_mass") <> '' +), "percentile_point" AS ( + SELECT + "number_of_elements", + "measure_value", + "cnt", + CAST((0.95 * "cnt") + 0.999999999999 AS INTEGER) AS "target_rn" + FROM "ranked" +) +SELECT + "number_of_elements", + "measure_value" AS "percentile_measure" +FROM "percentile_point" +WHERE "rn" = "target_rn" + AND "cnt" >= 5 +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..771bc525d23f03c10717b80b7390731555208ccc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/query_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 \"number_of_elements\",\n CAST(\"gmean_atomic_mass\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"number_of_elements\"\n ORDER BY CAST(\"gmean_atomic_mass\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"number_of_elements\"\n ) AS \"cnt\"\n FROM \"n5\"\n WHERE \"number_of_elements\" IS NOT NULL\n AND \"gmean_atomic_mass\" IS NOT NULL\n AND TRIM(\"number_of_elements\") <> ''\n AND TRIM(\"gmean_atomic_mass\") <> ''\n), \"percentile_point\" AS (\n SELECT\n \"number_of_elements\",\n \"measure_value\",\n \"cnt\",\n CAST((0.95 * \"cnt\") + 0.999999999999 AS INTEGER) AS \"target_rn\"\n FROM \"ranked\"\n)\nSELECT\n \"number_of_elements\",\n \"measure_value\" AS \"percentile_measure\"\nFROM \"percentile_point\"\nWHERE \"rn\" = \"target_rn\"\n AND \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"number_of_elements\\\",\\n CAST(\\\"gmean_atomic_mass\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"number_of_elements\\\"\\n ORDER BY CAST(\\\"gmean_atomic_mass\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"number_of_elements\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"number_of_elements\\\" IS NOT NULL\\n AND \\\"gmean_atomic_mass\\\" IS NOT NULL\\n AND TRIM(\\\"number_of_elements\\\") <> ''\\n AND TRIM(\\\"gmean_atomic_mass\\\") <> ''\\n), \\\"percentile_point\\\" AS (\\n SELECT\\n \\\"number_of_elements\\\",\\n \\\"measure_value\\\",\\n \\\"cnt\\\",\\n CAST((0.95 * \\\"cnt\\\") + 0.999999999999 AS INTEGER) AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"number_of_elements\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"percentile_point\\\"\\nWHERE \\\"rn\\\" = \\\"target_rn\\\"\\n AND \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"number_of_elements\", \"percentile_measure\"], \"rows\": [], \"row_count_returned\": 0, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 76.62}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..53ff7e94fd9458176c301277ee6a357b064d5279 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:56:58.790829+00:00", + "ended_at": "2026-05-19T15:57:16.739149+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_738ff0bbdbadd873", + "problem_id": "v2p_n5_6dab94c44df46b38", + "dataset_id": "n5", + "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=number_of_elements, measure_col=gmean_atomic_mass.", + "bindings": { + "group_col": "number_of_elements", + "measure_col": "gmean_atomic_mass", + "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": 67.327555, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_738ff0bbdbadd873.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_738ff0bbdbadd873", + "api_calls": 0, + "input_tokens": 25613, + "cached_input_tokens": 12032, + "output_tokens": 875, + "total_tokens": 26488, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17855.65, + "sql_execution_elapsed_ms_total": 76.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f832740d477337141c43a40138cb65ef05d3363a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:57:16.660794+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17855.65, "started_at": "2026-05-19T15:56:58.803922+00:00", "ended_at": "2026-05-19T15:57:16.659605+00:00", "prompt_metrics": {"chars": 45019, "bytes_utf8": 45019, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 1236, "bytes_utf8": 1236, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25613, "cached_input_tokens": 12032, "output_tokens": 875, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"number_of_elements\\\",\\n CAST(\\\"gmean_atomic_mass\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"number_of_elements\\\"\\n ORDER BY CAST(\\\"gmean_atomic_mass\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"number_of_elements\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"number_of_elements\\\" IS NOT NULL\\n AND \\\"gmean_atomic_mass\\\" IS NOT NULL\\n AND TRIM(\\\"number_of_elements\\\") <> ''\\n AND TRIM(\\\"gmean_atomic_mass\\\") <> ''\\n), \\\"percentile_point\\\" AS (\\n SELECT\\n \\\"number_of_elements\\\",\\n \\\"measure_value\\\",\\n \\\"cnt\\\",\\n CAST((0.95 * \\\"cnt\\\") + 0.999999999999 AS INTEGER) AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"number_of_elements\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"percentile_point\\\"\\nWHERE \\\"rn\\\" = \\\"target_rn\\\"\\n AND \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLi"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4970a5a389897d65a2a09ea1fdbd434088794fd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_738ff0bbdbadd873", + "api_calls": 0, + "input_tokens": 25613, + "cached_input_tokens": 12032, + "output_tokens": 875, + "total_tokens": 26488, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17855.65, + "sql_execution_elapsed_ms_total": 76.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_738ff0bbdbadd873/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..86e839fff7661e6bff0740b9afb47823c8994666 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/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=mean_Valence, measure_col=wtd_mean_atomic_mass. +Result preview: [{"mean_Valence": "3", "total_measure": 123751.49833857881}, {"mean_Valence": "4", "total_measure": 113585.60989531469}, {"mean_Valence": "2.25", "total_measure": 110377.64796662396}, {"mean_Valence": "5", "total_measure": 96162.57315326012}, {"mean_Valence": "2.2", "total_measure": 90628.65981996564}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f0d3aec620342301f2906d6296dba4d609a714d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_7623625b459a2a78 +-- problem_id: v2p_n5_b9d1015b5053a499 +-- realization_mode: agent +-- source_kind: agent +SELECT + "mean_Valence", + SUM(CAST("wtd_mean_atomic_mass" AS REAL)) AS total_measure +FROM "n5" +GROUP BY "mean_Valence" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4d55b1cb2071762331cb07ff384d79afa3349c8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_h2o_group_sum\nSELECT\n \"mean_Valence\",\n SUM(CAST(\"wtd_mean_atomic_mass\" AS REAL)) AS total_measure\nFROM \"n5\"\nGROUP BY \"mean_Valence\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"mean_Valence\\\",\\n SUM(CAST(\\\"wtd_mean_atomic_mass\\\" AS REAL)) AS total_measure\\nFROM \\\"n5\\\"\\nGROUP BY \\\"mean_Valence\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"mean_Valence\", \"total_measure\"], \"rows\": [{\"mean_Valence\": \"3\", \"total_measure\": 123751.49833857881}, {\"mean_Valence\": \"4\", \"total_measure\": 113585.60989531469}, {\"mean_Valence\": \"2.25\", \"total_measure\": 110377.64796662396}, {\"mean_Valence\": \"5\", \"total_measure\": 96162.57315326012}, {\"mean_Valence\": \"2.2\", \"total_measure\": 90628.65981996564}, {\"mean_Valence\": \"4.5\", \"total_measure\": 79159.02960259025}, {\"mean_Valence\": \"2.6\", \"total_measure\": 75937.16981128746}, {\"mean_Valence\": \"3.5\", \"total_measure\": 58871.564531367876}, {\"mean_Valence\": \"4.33333333333333\", \"total_measure\": 56370.93313974789}, {\"mean_Valence\": \"2.4\", \"total_measure\": 54680.14510070684}, {\"mean_Valence\": \"2.5\", \"total_measure\": 53805.72760771608}, {\"mean_Valence\": \"6\", \"total_measure\": 48557.355066959455}, {\"mean_Valence\": \"2\", \"total_measure\": 48333.631395495286}, {\"mean_Valence\": \"5.5\", \"total_measure\": 44594.15897305191}, {\"mean_Valence\": \"2.8\", \"total_measure\": 43152.76405670065}, {\"mean_Valence\": \"3.33333333333333\", \"total_measure\": 38797.10918900368}, {\"mean_Valence\": \"2.66666666666667\", \"total_measure\": 36474.5274994108}, {\"mean_Valence\": \"4.66666666666667\", \"total_measure\": 35207.32987852808}, {\"mean_Valence\": \"2.33333333333333\", \"total_measure\": 34906.47856881883}, {\"mean_Valence\": \"3.66666666666667\", \"total_measure\": 32955.65450145434}, {\"mean_Valence\": \"2.83333333333333\", \"total_measure\": 26263.91931492934}, {\"mean_Valence\": \"2.75\", \"total_measure\": 25565.303059847836}, {\"mean_Valence\": \"4.25\", \"total_measure\": 20444.796848127873}, {\"mean_Valence\": \"3.25\", \"total_measure\": 17757.91133553149}, {\"mean_Valence\": \"2.16666666666667\", \"total_measure\": 16573.10405235343}, {\"mean_Valence\": \"6.5\", \"total_measure\": 16306.412685888077}, {\"mean_Valence\": \"5.33333333333333\", \"total_measure\": 13023.11537658545}, {\"mean_Valence\": \"3.75\", \"total_measure\": 12336.6173511522}, {\"mean_Valence\": \"2.85714285714286\", \"total_measure\": 11548.01287528665}, {\"mean_Valence\": \"4.75\", \"total_measure\": 11234.587593313241}, {\"mean_Valence\": \"3.4\", \"total_measure\": 10516.838619556775}, {\"mean_Valence\": \"3.16666666666667\", \"total_measure\": 10293.752739508527}, {\"mean_Valence\": \"2.57142857142857\", \"total_measure\": 8788.930758091105}, {\"mean_Valence\": \"3.2\", \"total_measure\": 8606.645033218487}, {\"mean_Valence\": \"5.66666666666667\", \"total_measure\": 7659.902214863356}, {\"mean_Valence\": \"2.42857142857143\", \"total_measure\": 7353.22438510757}, {\"mean_Valence\": \"3.14285714285714\", \"total_measure\": 6358.195075568192}, {\"mean_Valence\": \"3.6\", \"total_measure\": 6028.925977672389}, {\"mean_Valence\": \"2.28571428571429\", \"total_measure\": 5057.727391985769}, {\"mean_Valence\": \"3.8\", \"total_measure\": 4532.078672277599}, {\"mean_Valence\": \"5.25\", \"total_measure\": 4321.319233832693}, {\"mean_Valence\": \"2.71428571428571\", \"total_measure\": 3063.543595018025}, {\"mean_Valence\": \"6.33333333333333\", \"total_measure\": 2858.6934157709065}, {\"mean_Valence\": \"1.8\", \"total_measure\": 2714.505210149305}, {\"mean_Valence\": \"3.28571428571429\", \"total_measure\": 2311.3980635491794}, {\"mean_Valence\": \"3.42857142857143\", \"total_measure\": 2272.988631364882}, {\"mean_Valence\": \"2.14285714285714\", \"total_measure\": 1602.1155886371782}, {\"mean_Valence\": \"1.5\", \"total_measure\": 1483.4029569671106}, {\"mean_Valence\": \"7\", \"total_measure\": 1244.14647}, {\"mean_Valence\": \"3.83333333333333\", \"total_measure\": 1166.81569146}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 24.54}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3378314944f3d932b365b7668416e44657fba4c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:29:07.850306+00:00", + "ended_at": "2026-05-19T15:29:18.032578+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_7623625b459a2a78", + "problem_id": "v2p_n5_b9d1015b5053a499", + "dataset_id": "n5", + "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=mean_Valence, measure_col=wtd_mean_atomic_mass.", + "bindings": { + "group_col": "mean_Valence", + "measure_col": "wtd_mean_atomic_mass", + "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": 59.3441, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_7623625b459a2a78.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_7623625b459a2a78", + "api_calls": 0, + "input_tokens": 25579, + "cached_input_tokens": 12032, + "output_tokens": 359, + "total_tokens": 25938, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10141.75, + "sql_execution_elapsed_ms_total": 24.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cfcbd71234b3e9189d5122ae8e60cfa3b7eb220e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:29:18.006138+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10141.75, "started_at": "2026-05-19T15:29:07.863486+00:00", "ended_at": "2026-05-19T15:29:18.005263+00:00", "prompt_metrics": {"chars": 44832, "bytes_utf8": 44832, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 418, "bytes_utf8": 418, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25579, "cached_input_tokens": 12032, "output_tokens": 359, "reasoning_output_tokens": 242}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"mean_Valence\\\",\\n SUM(CAST(\\\"wtd_mean_atomic_mass\\\" AS REAL)) AS total_measure\\nFROM \\\"n5\\\"\\nGROUP BY \\\"mean_Valence\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned Grouped Numeric Sum template with group_col=\\\"mean_Valence\\\" and measure_col=\\\"wtd_mean_atomic_mass\\\". CAST to REAL is applied because the schema stores these fields as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..47d2e484ee8fa6f831f4f2ab8fc7aa4159d16c44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_7623625b459a2a78", + "api_calls": 0, + "input_tokens": 25579, + "cached_input_tokens": 12032, + "output_tokens": 359, + "total_tokens": 25938, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10141.75, + "sql_execution_elapsed_ms_total": 24.54, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7623625b459a2a78/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_77c993089f90973d/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_77c993089f90973d/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..64bc9e4e2a665744f8af8d7ca27c981b66bd7c6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_77c993089f90973d/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "1", "support": 7387, "support_share": 0.34741099562620514, "support_rank": 1}, {"value_label": "2", "support": 5131, "support_share": 0.24131119785542962, "support_rank": 2}, {"value_label": "3", "support": 4335, "support_share": 0.2038752763015567, "support_rank": 3}, {"value_label": "4", "support": 2321, "support_share": 0.10915675116399379, "support_rank": 4}, {"value_label": "0", "support": 1398, "support_share": 0.06574801298029441, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_77c993089f90973d/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_77c993089f90973d/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..49fcf8ee67890713f185200f6f8f56671b780322 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_77c993089f90973d/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_77c993089f90973d +-- problem_id: v2p_n5_24c97607e72d4123 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "range_Valence" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "range_Valence" +) +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_c/n5/artifacts/v2q_n5_77c993089f90973d/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_77c993089f90973d/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..493c5f8a3047b64843956c2e972be2cf432d5671 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_77c993089f90973d/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_c\n-- sql_source_dataset_id: n5\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_n5_77c993089f90973d\n-- problem_id: v2p_n5_24c97607e72d4123\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"range_Valence\" AS value_label, COUNT(*) AS support\n FROM \"n5\"\n GROUP BY \"range_Valence\"\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_c\\n-- sql_source_dataset_id: n5\\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_n5_77c993089f90973d\\n-- problem_id: v2p_n5_24c97607e72d4123\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"range_Valence\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n5\\\"\\n GROUP BY \\\"range_Valence\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"1\", \"support\": 7387, \"support_share\": 0.34741099562620514, \"support_rank\": 1}, {\"value_label\": \"2\", \"support\": 5131, \"support_share\": 0.24131119785542962, \"support_rank\": 2}, {\"value_label\": \"3\", \"support\": 4335, \"support_share\": 0.2038752763015567, \"support_rank\": 3}, {\"value_label\": \"4\", \"support\": 2321, \"support_share\": 0.10915675116399379, \"support_rank\": 4}, {\"value_label\": \"0\", \"support\": 1398, \"support_share\": 0.06574801298029441, \"support_rank\": 5}, {\"value_label\": \"5\", \"support\": 686, \"support_share\": 0.03226261581150355, \"support_rank\": 6}, {\"value_label\": \"6\", \"support\": 5, \"support_share\": 0.00023515026101678972, \"support_rank\": 7}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 14.34}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_77c993089f90973d/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_77c993089f90973d/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6a5e7193fde2defedfa4b4eeddb7fee0ed9180b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_77c993089f90973d/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:15:36.803035+00:00", + "ended_at": "2026-05-19T16:15:36.818128+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_77c993089f90973d", + "problem_id": "v2p_n5_24c97607e72d4123", + "dataset_id": "n5", + "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=range_Valence.", + "bindings": { + "group_col": "range_Valence" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\nFROM grouped\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_77c993089f90973d.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_c/n5/artifacts/v2q_n5_77c993089f90973d/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_77c993089f90973d/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_77c993089f90973d/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_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..49cc37a34efe4aa46de592420a3b122a6afea7bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/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=std_Valence, measure_col=range_atomic_radius. +Result preview: [{"std_Valence": "0.494871659305394", "std_atomic_radius": "60.3973239034138", "total_measure": 1435.0, "share_within_group": 100.0}, {"std_Valence": "0.63887656499994", "std_atomic_radius": "69.96121374427", "total_measure": 633.0, "share_within_group": 100.0}, {"std_Valence": "0.695970545353753", "std_atomic_radius": "58.5144212993686", "total_measure": 410.0, "share_within_group": 100.0}, {"std_Valence": "0.85695682505013", "std_atomic_radius": "66.9700259444477", "total_measure": 211.0, "share_within_group": 100.0}, {"std_Valence": "0.903507902905251", "std_atomic_radius": "77.3412792070816", "total_measure": 205.0, "share_within_group": 100.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..03f2150f15c64f28ef660f3d61ff07092cbd4147 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_785fbdd59a1302d6 +-- problem_id: v2p_n5_0b6493e11b8821fe +-- realization_mode: agent +-- source_kind: agent +SELECT "std_Valence", "std_atomic_radius", + SUM(CAST("range_atomic_radius" AS REAL)) AS "total_measure", + SUM(CAST("range_atomic_radius" AS REAL)) * 100.0 / SUM(SUM(CAST("range_atomic_radius" AS REAL))) OVER (PARTITION BY "std_Valence") AS "share_within_group" +FROM "n5" +WHERE "std_Valence" IS NOT NULL + AND "std_atomic_radius" IS NOT NULL + AND "range_atomic_radius" IS NOT NULL + AND TRIM("std_Valence") <> '' + AND TRIM("std_atomic_radius") <> '' + AND TRIM("range_atomic_radius") <> '' +GROUP BY "std_Valence", "std_atomic_radius" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..43f11aa075785812fa17dda17c2e61fe436fd6a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/query_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 \"std_Valence\", \"std_atomic_radius\",\n SUM(CAST(\"range_atomic_radius\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"range_atomic_radius\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"range_atomic_radius\" AS REAL))) OVER (PARTITION BY \"std_Valence\") AS \"share_within_group\"\nFROM \"n5\"\nWHERE \"std_Valence\" IS NOT NULL\n AND \"std_atomic_radius\" IS NOT NULL\n AND \"range_atomic_radius\" IS NOT NULL\n AND TRIM(\"std_Valence\") <> ''\n AND TRIM(\"std_atomic_radius\") <> ''\n AND TRIM(\"range_atomic_radius\") <> ''\nGROUP BY \"std_Valence\", \"std_atomic_radius\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"std_Valence\\\", \\\"std_atomic_radius\\\",\\n SUM(CAST(\\\"range_atomic_radius\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"range_atomic_radius\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"range_atomic_radius\\\" AS REAL))) OVER (PARTITION BY \\\"std_Valence\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"std_Valence\\\" IS NOT NULL\\n AND \\\"std_atomic_radius\\\" IS NOT NULL\\n AND \\\"range_atomic_radius\\\" IS NOT NULL\\n AND TRIM(\\\"std_Valence\\\") <> ''\\n AND TRIM(\\\"std_atomic_radius\\\") <> ''\\n AND TRIM(\\\"range_atomic_radius\\\") <> ''\\nGROUP BY \\\"std_Valence\\\", \\\"std_atomic_radius\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"std_Valence\", \"std_atomic_radius\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"std_Valence\": \"0.494871659305394\", \"std_atomic_radius\": \"60.3973239034138\", \"total_measure\": 1435.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"0.63887656499994\", \"std_atomic_radius\": \"69.96121374427\", \"total_measure\": 633.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"0.695970545353753\", \"std_atomic_radius\": \"58.5144212993686\", \"total_measure\": 410.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"0.85695682505013\", \"std_atomic_radius\": \"66.9700259444477\", \"total_measure\": 211.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"0.903507902905251\", \"std_atomic_radius\": \"77.3412792070816\", \"total_measure\": 205.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"0.968245836551854\", \"std_atomic_radius\": \"51.9252768408605\", \"total_measure\": 174.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"1.1653431646335\", \"std_atomic_radius\": \"60.9865397009156\", \"total_measure\": 1710.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"1.31695671910659\", \"std_atomic_radius\": \"68.4525383020966\", \"total_measure\": 402.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"1.36358901432946\", \"std_atomic_radius\": \"58.5854077394704\", \"total_measure\": 615.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"1.38443731048635\", \"std_atomic_radius\": \"61.9419531138271\", \"total_measure\": 306.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"1.5723301886761\", \"std_atomic_radius\": \"55.3654525253188\", \"total_measure\": 1022.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"1.60356745147455\", \"std_atomic_radius\": \"54.1709312816234\", \"total_measure\": 513.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"1.60727512683216\", \"std_atomic_radius\": \"53.0013102563407\", \"total_measure\": 1026.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"1.67497927018681\", \"std_atomic_radius\": \"53.8415886343138\", \"total_measure\": 684.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"1.74355957741627\", \"std_atomic_radius\": \"66.0502838752416\", \"total_measure\": 205.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"1.74963553055941\", \"std_atomic_radius\": \"60.4601403523724\", \"total_measure\": 615.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"1.82574185835055\", \"std_atomic_radius\": \"58.5111575304707\", \"total_measure\": 171.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"1.88441513689613\", \"std_atomic_radius\": \"51.8360838782863\", \"total_measure\": 342.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"1.89296944860009\", \"std_atomic_radius\": \"55.203914917533\", \"total_measure\": 171.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"1.97202659436654\", \"std_atomic_radius\": \"55.0514910485326\", \"total_measure\": 3762.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"2.11476292340825\", \"std_atomic_radius\": \"45.9770474137791\", \"total_measure\": 833.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"2.62466929133727\", \"std_atomic_radius\": \"82.0907357068317\", \"total_measure\": 195.0, \"share_within_group\": 100.0}, {\"std_Valence\": \"1.82946406783796\", \"std_atomic_radius\": \"56.2487188062709\", \"total_measure\": 1539.0, \"share_within_group\": 90.0}, {\"std_Valence\": \"1.86338998124982\", \"std_atomic_radius\": \"62.2166912224257\", \"total_measure\": 4100.0, \"share_within_group\": 88.8792542813787}, {\"std_Valence\": \"2.5\", \"std_atomic_radius\": \"38\", \"total_measure\": 760.0, \"share_within_group\": 87.35632183908046}, {\"std_Valence\": \"1.2\", \"std_atomic_radius\": \"58.6085318021191\", \"total_measure\": 55233.0, \"share_within_group\": 86.14408035310448}, {\"std_Valence\": \"0.484122918275927\", \"std_atomic_radius\": \"60.5225939216091\", \"total_measure\": 1230.0, \"share_within_group\": 85.71428571428571}, {\"std_Valence\": \"1.8405855323893\", \"std_atomic_radius\": \"51.0445983470158\", \"total_measure\": 1026.0, \"share_within_group\": 85.71428571428571}, {\"std_Valence\": \"0.832993127835043\", \"std_atomic_radius\": \"59.7177032514869\", \"total_measure\": 1539.0, \"share_within_group\": 80.78740157480316}, {\"std_Valence\": \"1.95078331845327\", \"std_atomic_radius\": \"53.3322916564939\", \"total_measure\": 1224.0, \"share_within_group\": 80.10471204188482}, {\"std_Valence\": \"3\", \"std_atomic_radius\": \"91.5\", \"total_measure\": 183.0, \"share_within_group\": 78.54077253218884}, {\"std_Valence\": \"1.04978131833565\", \"std_atomic_radius\": \"54.3555941209817\", \"total_measure\": 7353.0, \"share_within_group\": 75.44633695875231}, {\"std_Valence\": \"1.92028643696715\", \"std_atomic_radius\": \"70.5172851150695\", \"total_measure\": 756.0, \"share_within_group\": 73.7560975609756}, {\"std_Valence\": \"1.7950549357115\", \"std_atomic_radius\": \"65.4134287946035\", \"total_measure\": 1393.0, \"share_within_group\": 73.08499475341029}, {\"std_Valence\": \"1.03015750727543\", \"std_atomic_radius\": \"57.3133171830999\", \"total_measure\": 370.0, \"share_within_group\": 68.39186691312385}, {\"std_Valence\": \"1.59861050777091\", \"std_atomic_radius\": \"57.9389046036138\", \"total_measure\": 1026.0, \"share_within_group\": 64.89563567362428}, {\"std_Valence\": \"1.72614942479922\", \"std_atomic_radius\": \"56.6049684124953\", \"total_measure\": 555.0, \"share_within_group\": 61.87290969899666}, {\"std_Valence\": \"1.70782512765993\", \"std_atomic_radius\": \"63.8924878213394\", \"total_measure\": 3116.0, \"share_within_group\": 61.72741679873217}, {\"std_Valence\": \"1.67819144635296\", \"std_atomic_radius\": \"56.4609310469981\", \"total_measure\": 549.0, \"share_within_group\": 59.73884657236126}, {\"std_Valence\": \"1.73205080756888\", \"std_atomic_radius\": \"31.0513687298966\", \"total_measure\": 231.0, \"share_within_group\": 57.32009925558312}, {\"std_Valence\": \"2.06155281280883\", \"std_atomic_radius\": \"40.2678531834018\", \"total_measure\": 909.0, \"share_within_group\": 57.20578980490875}, {\"std_Valence\": \"0.534522483824849\", \"std_atomic_radius\": \"58.0313075250009\", \"total_measure\": 820.0, \"share_within_group\": 57.142857142857146}, {\"std_Valence\": \"0.687184270936277\", \"std_atomic_radius\": \"65.1715684430974\", \"total_measure\": 1026.0, \"share_within_group\": 55.399568034557234}, {\"std_Valence\": \"1.15470053837925\", \"std_atomic_radius\": \"53.661490433602\", \"total_measure\": 10602.0, \"share_within_group\": 52.36848604593727}, {\"std_Valence\": \"1.49829835452879\", \"std_atomic_radius\": \"57.2156678984107\", \"total_measure\": 2220.0, \"share_within_group\": 52.088221492257155}, {\"std_Valence\": \"2.1650635094611\", \"std_atomic_radius\": \"56.975872086349\", \"total_measure\": 152.0, \"share_within_group\": 50.33112582781457}, {\"std_Valence\": \"1.0690449676497\", \"std_atomic_radius\": \"49.7159277232936\", \"total_measure\": 342.0, \"share_within_group\": 50.0}, {\"std_Valence\": \"1.0690449676497\", \"std_atomic_radius\": \"49.9452761754793\", \"total_measure\": 342.0, \"share_within_group\": 50.0}, {\"std_Valence\": \"2.1650635094611\", \"std_atomic_radius\": \"56.3515749558076\", \"total_measure\": 150.0, \"share_within_group\": 49.66887417218543}, {\"std_Valence\": \"1.21335164821342\", \"std_atomic_radius\": \"53.5249163162976\", \"total_measure\": 23256.0, \"share_within_group\": 49.183656205058796}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 42.32}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a9cee454701568c218434da9c65555738ade9f04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:38:17.403046+00:00", + "ended_at": "2026-05-19T15:38:46.877284+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_785fbdd59a1302d6", + "problem_id": "v2p_n5_0b6493e11b8821fe", + "dataset_id": "n5", + "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=std_Valence, measure_col=range_atomic_radius.", + "bindings": { + "group_col": "std_Valence", + "measure_col": "range_atomic_radius", + "item_col": "std_atomic_radius", + "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": 171.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=27" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_785fbdd59a1302d6.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_785fbdd59a1302d6", + "api_calls": 0, + "input_tokens": 25694, + "cached_input_tokens": 24960, + "output_tokens": 1568, + "total_tokens": 27262, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 29417.44, + "sql_execution_elapsed_ms_total": 42.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ad5e0d37c73a6f1004f6add6e9e9032e4edab9e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:38:46.832725+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 29417.44, "started_at": "2026-05-19T15:38:17.414358+00:00", "ended_at": "2026-05-19T15:38:46.831829+00:00", "prompt_metrics": {"chars": 45240, "bytes_utf8": 45240, "lines": 1082, "estimated_tokens": null}, "response_metrics": {"chars": 920, "bytes_utf8": 920, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25694, "cached_input_tokens": 24960, "output_tokens": 1568, "reasoning_output_tokens": 1311}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"std_Valence\\\", \\\"std_atomic_radius\\\",\\n SUM(CAST(\\\"range_atomic_radius\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"range_atomic_radius\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"range_atomic_radius\\\" AS REAL))) OVER (PARTITION BY \\\"std_Valence\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"std_Valence\\\" IS NOT NULL\\n AND \\\"std_atomic_radius\\\" IS NOT NULL\\n AND \\\"range_atomic_radius\\\" IS NOT NULL\\n AND TRIM(\\\"std_Valence\\\") <> ''\\n AND TRIM(\\\"std_atomic_radius\\\") <> ''\\n AND TRIM(\\\"range_atomic_radius\\\") <> ''\\nGROUP BY \\\"std_Valence\\\", \\\"std_atomic_radius\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"std_Valence\\\", item_col=\\\"std_atomic_radius\\\", and measure_col=\\\"range_atomic_radius\\\". The measure is cast from TEXT to REAL for SQLite aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4ca9487d136e8305342ed6e134348f972024bdf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_785fbdd59a1302d6", + "api_calls": 0, + "input_tokens": 25694, + "cached_input_tokens": 24960, + "output_tokens": 1568, + "total_tokens": 27262, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 29417.44, + "sql_execution_elapsed_ms_total": 42.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_785fbdd59a1302d6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7a4c89dbc69c1685/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7a4c89dbc69c1685/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4dacc9832c169b573998ff79427c6b7cb7b717c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7a4c89dbc69c1685/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:56:17.398084+00:00", + "ended_at": "2026-05-19T15:56:25.171509+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_7a4c89dbc69c1685", + "problem_id": "v2p_n5_ccaf991c92eca724", + "dataset_id": "n5", + "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=gmean_Valence, measure_col=critical_temp.", + "bindings": { + "group_col": "gmean_Valence", + "measure_col": "critical_temp", + "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": 76.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/2", + "binding_index=80" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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_c/n5/artifacts/v2q_n5_7a4c89dbc69c1685/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7a4c89dbc69c1685/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bbf1f5c0dacc5dba3d01f5fc724e1a0ee55841a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7a4c89dbc69c1685/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:56:20.768742+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": 3358.21, "started_at": "2026-05-19T15:56:17.409675+00:00", "ended_at": "2026-05-19T15:56:20.767914+00:00", "prompt_metrics": {"chars": 45371, "bytes_utf8": 45371, "lines": 1080, "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-c3ab-7af0-9384-42515c20e998\"}\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": "2026-05-19T15:56:25.171384+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3399.32, "started_at": "2026-05-19T15:56:21.770895+00:00", "ended_at": "2026-05-19T15:56:25.170265+00:00", "prompt_metrics": {"chars": 45371, "bytes_utf8": 45371, "lines": 1080, "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-d49f-7663-802d-642e5018eb14\"}\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_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2cb4fe3f81898552e1c2f1680d6e6a67b9d40391 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/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=wtd_range_ThermalConductivity. +Result preview: [{"wtd_range_ThermalConductivity": 401.44}, {"wtd_range_ThermalConductivity": 384.1}, {"wtd_range_ThermalConductivity": 377.79}, {"wtd_range_ThermalConductivity": 376.849583541627}, {"wtd_range_ThermalConductivity": 372.625}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a4d250cb57dc310bca89420baaad2370b449ac70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_7d0e2eb3fb60bc07 +-- problem_id: v2p_n5_04508816e918ac57 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT CAST("wtd_range_ThermalConductivity" AS REAL) AS "wtd_range_ThermalConductivity", + NTILE(10) OVER (ORDER BY CAST("wtd_range_ThermalConductivity" AS REAL) DESC) AS "tail_bucket" + FROM "n5" + WHERE "wtd_range_ThermalConductivity" IS NOT NULL +) +SELECT "wtd_range_ThermalConductivity" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "wtd_range_ThermalConductivity" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ea84b06f09e346009991fd349775e4b411e14433 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/query_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(\"wtd_range_ThermalConductivity\" AS REAL) AS \"wtd_range_ThermalConductivity\",\n NTILE(10) OVER (ORDER BY CAST(\"wtd_range_ThermalConductivity\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"n5\"\n WHERE \"wtd_range_ThermalConductivity\" IS NOT NULL\n)\nSELECT \"wtd_range_ThermalConductivity\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"wtd_range_ThermalConductivity\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT CAST(\\\"wtd_range_ThermalConductivity\\\" AS REAL) AS \\\"wtd_range_ThermalConductivity\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"wtd_range_ThermalConductivity\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"wtd_range_ThermalConductivity\\\" IS NOT NULL\\n)\\nSELECT \\\"wtd_range_ThermalConductivity\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"wtd_range_ThermalConductivity\\\" DESC;\", \"columns\": [\"wtd_range_ThermalConductivity\"], \"rows\": [{\"wtd_range_ThermalConductivity\": 401.44}, {\"wtd_range_ThermalConductivity\": 384.1}, {\"wtd_range_ThermalConductivity\": 377.79}, {\"wtd_range_ThermalConductivity\": 376.849583541627}, {\"wtd_range_ThermalConductivity\": 372.625}, {\"wtd_range_ThermalConductivity\": 368.71}, {\"wtd_range_ThermalConductivity\": 359.63}, {\"wtd_range_ThermalConductivity\": 352.965}, {\"wtd_range_ThermalConductivity\": 351.052}, {\"wtd_range_ThermalConductivity\": 347.995}, {\"wtd_range_ThermalConductivity\": 343.025}, {\"wtd_range_ThermalConductivity\": 341.0}, {\"wtd_range_ThermalConductivity\": 340.54}, {\"wtd_range_ThermalConductivity\": 338.2}, {\"wtd_range_ThermalConductivity\": 338.055}, {\"wtd_range_ThermalConductivity\": 335.6}, {\"wtd_range_ThermalConductivity\": 334.28}, {\"wtd_range_ThermalConductivity\": 333.856}, {\"wtd_range_ThermalConductivity\": 332.72}, {\"wtd_range_ThermalConductivity\": 332.0}, {\"wtd_range_ThermalConductivity\": 331.0}, {\"wtd_range_ThermalConductivity\": 328.115}, {\"wtd_range_ThermalConductivity\": 326.4}, {\"wtd_range_ThermalConductivity\": 323.0}, {\"wtd_range_ThermalConductivity\": 323.0}, {\"wtd_range_ThermalConductivity\": 321.8}, {\"wtd_range_ThermalConductivity\": 319.5}, {\"wtd_range_ThermalConductivity\": 319.44}, {\"wtd_range_ThermalConductivity\": 318.49}, {\"wtd_range_ThermalConductivity\": 318.175}, {\"wtd_range_ThermalConductivity\": 317.2}, {\"wtd_range_ThermalConductivity\": 314.9}, {\"wtd_range_ThermalConductivity\": 312.6}, {\"wtd_range_ThermalConductivity\": 311.156}, {\"wtd_range_ThermalConductivity\": 309.264}, {\"wtd_range_ThermalConductivity\": 302.55}, {\"wtd_range_ThermalConductivity\": 300.65}, {\"wtd_range_ThermalConductivity\": 295.88}, {\"wtd_range_ThermalConductivity\": 294.0}, {\"wtd_range_ThermalConductivity\": 294.0}, {\"wtd_range_ThermalConductivity\": 293.82}, {\"wtd_range_ThermalConductivity\": 293.82}, {\"wtd_range_ThermalConductivity\": 293.58}, {\"wtd_range_ThermalConductivity\": 293.416}, {\"wtd_range_ThermalConductivity\": 293.24}, {\"wtd_range_ThermalConductivity\": 293.24}, {\"wtd_range_ThermalConductivity\": 292.76}, {\"wtd_range_ThermalConductivity\": 292.76}, {\"wtd_range_ThermalConductivity\": 292.66}, {\"wtd_range_ThermalConductivity\": 292.4566}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 52.47}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1ec72666870b6b2913f1a2110417e0b1c731f351 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:52:37.571384+00:00", + "ended_at": "2026-05-19T15:52:48.189554+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_7d0e2eb3fb60bc07", + "problem_id": "v2p_n5_04508816e918ac57", + "dataset_id": "n5", + "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=wtd_range_ThermalConductivity.", + "bindings": { + "measure_col": "wtd_range_ThermalConductivity", + "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": 92.29338, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_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=9", + "sql_variant_index=1/1", + "binding_index=68" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_7d0e2eb3fb60bc07.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_7d0e2eb3fb60bc07", + "api_calls": 0, + "input_tokens": 25634, + "cached_input_tokens": 24960, + "output_tokens": 444, + "total_tokens": 26078, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10551.28, + "sql_execution_elapsed_ms_total": 52.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5eced587fa7bed48933bdb1135982a8f6d1c7ec7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:52:48.134858+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10551.28, "started_at": "2026-05-19T15:52:37.582256+00:00", "ended_at": "2026-05-19T15:52:48.133565+00:00", "prompt_metrics": {"chars": 45014, "bytes_utf8": 45014, "lines": 1078, "estimated_tokens": null}, "response_metrics": {"chars": 721, "bytes_utf8": 721, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25634, "cached_input_tokens": 24960, "output_tokens": 444, "reasoning_output_tokens": 240}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT CAST(\\\"wtd_range_ThermalConductivity\\\" AS REAL) AS \\\"wtd_range_ThermalConductivity\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"wtd_range_ThermalConductivity\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"wtd_range_ThermalConductivity\\\" IS NOT NULL\\n)\\nSELECT \\\"wtd_range_ThermalConductivity\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"wtd_range_ThermalConductivity\\\" DESC;\",\"notes\":\"Used the provided Quantile Tail Slice template with measure_col bound to \\\"wtd_range_ThermalConductivity\\\" and num_tiles=10. Cast to REAL for correct numeric ordering because the schema stores this column as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1a25d8791f52746436c3d41d42403debf587ecb5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_7d0e2eb3fb60bc07", + "api_calls": 0, + "input_tokens": 25634, + "cached_input_tokens": 24960, + "output_tokens": 444, + "total_tokens": 26078, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10551.28, + "sql_execution_elapsed_ms_total": 52.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7d0e2eb3fb60bc07/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7e431adc8a9e00e7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7e431adc8a9e00e7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5689ffabb1c7fcadc34ed8bb05480e463db63cb2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7e431adc8a9e00e7/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:08:34.462832+00:00", + "ended_at": "2026-05-19T16:08:41.834133+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_7e431adc8a9e00e7", + "problem_id": "v2p_n5_c5682ead1ee7bda4", + "dataset_id": "n5", + "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=range_atomic_radius, condition_col=range_Valence.", + "bindings": { + "group_col": "range_atomic_radius", + "condition_col": "range_Valence", + "condition_value": "2", + "positive_value": "2", + "negative_value": "1", + "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": 744.704571, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=4", + "sql_variant_index=1/2", + "binding_index=99" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 4, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7e431adc8a9e00e7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7e431adc8a9e00e7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..35479e1ed5d7dcd5a500b07a2e2a0f0293a69929 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_7e431adc8a9e00e7/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:37.723562+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3248.51, "started_at": "2026-05-19T16:08:34.474155+00:00", "ended_at": "2026-05-19T16:08:37.722696+00:00", "prompt_metrics": {"chars": 45071, "bytes_utf8": 45071, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-02b0-78a2-a0f2-02b768a111a2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:41.834045+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": 3106.87, "started_at": "2026-05-19T16:08:38.726248+00:00", "ended_at": "2026-05-19T16:08:41.833171+00:00", "prompt_metrics": {"chars": 45071, "bytes_utf8": 45071, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-134a-70b3-9c1b-15df0e3e416c\"}\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_c/n5/artifacts/v2q_n5_8168b4d43d1f1c3f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_8168b4d43d1f1c3f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9f13bc96e9eadd4940b3c648d11c69bfe80cd99f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_8168b4d43d1f1c3f/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:15:14.276033+00:00", + "ended_at": "2026-05-19T16:15:21.393865+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_8168b4d43d1f1c3f", + "problem_id": "v2p_n5_d50d10667c2191c5", + "dataset_id": "n5", + "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=std_Valence, measure_col=wtd_range_FusionHeat.", + "bindings": { + "group_col": "std_Valence", + "measure_col": "wtd_range_FusionHeat", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.637648, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=2/2", + "binding_index=139" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 8, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_8168b4d43d1f1c3f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_8168b4d43d1f1c3f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3aba059ae8e699921ed0515ade0ca210311afa58 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_8168b4d43d1f1c3f/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:15:17.536106+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": 3245.76, "started_at": "2026-05-19T16:15:14.289002+00:00", "ended_at": "2026-05-19T16:15:17.534792+00:00", "prompt_metrics": {"chars": 44917, "bytes_utf8": 44917, "lines": 1080, "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\":\"019e4105-1c66-7de0-a912-229b8679b07c\"}\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": "2026-05-19T16:15:21.393779+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": 2855.18, "started_at": "2026-05-19T16:15:18.537770+00:00", "ended_at": "2026-05-19T16:15:21.392979+00:00", "prompt_metrics": {"chars": 44917, "bytes_utf8": 44917, "lines": 1080, "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\":\"019e4105-2d18-7750-aaa8-583811d3f613\"}\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_c/n5/artifacts/v2q_n5_84d76ea43459c523/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_84d76ea43459c523/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..df080b5bc93019d90841ec5b5d7aa5422965c7a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_84d76ea43459c523/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:14:22.555238+00:00", + "ended_at": "2026-05-19T16:14:29.935042+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_84d76ea43459c523", + "problem_id": "v2p_n5_cebffd48ecaaf73d", + "dataset_id": "n5", + "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=gmean_Valence, measure_col=entropy_FusionHeat.", + "bindings": { + "group_col": "gmean_Valence", + "measure_col": "entropy_FusionHeat", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1.323604, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=136" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_84d76ea43459c523/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_84d76ea43459c523/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9d3a205d985eabe82bc32e71f8c0bbdb2d0ea2ae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_84d76ea43459c523/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:14:25.857505+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": 3288.39, "started_at": "2026-05-19T16:14:22.568267+00:00", "ended_at": "2026-05-19T16:14:25.856681+00:00", "prompt_metrics": {"chars": 44917, "bytes_utf8": 44917, "lines": 1080, "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\":\"019e4104-5270-72f3-ac14-d8ef96375580\"}\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": "2026-05-19T16:14:29.934943+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 2, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3075.23, "started_at": "2026-05-19T16:14:26.858874+00:00", "ended_at": "2026-05-19T16:14:29.934130+00:00", "prompt_metrics": {"chars": 44917, "bytes_utf8": 44917, "lines": 1080, "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\":\"019e4104-632b-7b11-a2e6-63dc927f0ac6\"}\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_c/n5/artifacts/v2q_n5_86660cd6180a28ec/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_86660cd6180a28ec/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..16b2fb57a7526f365462c4c5b107b9f48ea95ab5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_86660cd6180a28ec/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:11:07.713987+00:00", + "ended_at": "2026-05-19T16:11:14.998953+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_86660cd6180a28ec", + "problem_id": "v2p_n5_277a36c0bcdc7302", + "dataset_id": "n5", + "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=entropy_Density.", + "bindings": { + "measure_col": "entropy_Density", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1.298187, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=9", + "sql_variant_index=1/1", + "binding_index=116" + ], + "template_selection_mode": "rule", + "selected_template_rank": 10, + "problem_index_within_template": 9, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_86660cd6180a28ec/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_86660cd6180a28ec/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fae06ad77411e0fa2cb1df2efe20722c18bc0c3e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_86660cd6180a28ec/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:11:10.939491+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": 3213.35, "started_at": "2026-05-19T16:11:07.725100+00:00", "ended_at": "2026-05-19T16:11:10.938480+00:00", "prompt_metrics": {"chars": 44752, "bytes_utf8": 44752, "lines": 1078, "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\":\"019e4101-5951-7af2-b615-0d2a025e2f29\"}\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": "2026-05-19T16:11:14.998863+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": 3056.07, "started_at": "2026-05-19T16:11:11.941918+00:00", "ended_at": "2026-05-19T16:11:14.998032+00:00", "prompt_metrics": {"chars": 44752, "bytes_utf8": 44752, "lines": 1078, "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\":\"019e4101-69c3-7192-b257-3e328925f39c\"}\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_c/n5/artifacts/v2q_n5_86f898ae75b553e7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_86f898ae75b553e7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..3ec815598c27a2f897cf23c9279bd08ca614ff0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_86f898ae75b553e7/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:08:04.521533+00:00", + "ended_at": "2026-05-19T16:08:11.854666+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_86f898ae75b553e7", + "problem_id": "v2p_n5_d9c401e3bc9eb4ec", + "dataset_id": "n5", + "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=std_Valence, condition_col=range_Valence.", + "bindings": { + "group_col": "std_Valence", + "condition_col": "range_Valence", + "condition_value": "2", + "positive_value": "2", + "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": 0.883504, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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", + "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_c/n5/artifacts/v2q_n5_86f898ae75b553e7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_86f898ae75b553e7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4ff4350b61c1ada090c2bf8c03f9284df45a5775 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_86f898ae75b553e7/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:07.722640+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": 3188.91, "started_at": "2026-05-19T16:08:04.532857+00:00", "ended_at": "2026-05-19T16:08:07.721797+00:00", "prompt_metrics": {"chars": 45053, "bytes_utf8": 45053, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-8dae-7563-b413-ea1fd8591514\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:11.854575+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": 3129.6, "started_at": "2026-05-19T16:08:08.724091+00:00", "ended_at": "2026-05-19T16:08:11.853718+00:00", "prompt_metrics": {"chars": 45053, "bytes_utf8": 45053, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-9e15-7261-ae53-9d45a6ea9424\"}\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_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..eda793f9140cd655f03560bc26bdef0437e67702 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/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=mean_Valence, measure_col=wtd_std_atomic_radius. +Result preview: [{"mean_Valence": "1", "wtd_mean_Density": "6993.89866666667", "total_measure": 57.9827560572969, "share_within_group": 100.0}, {"mean_Valence": "1.25", "wtd_mean_Density": "4080.27299444444", "total_measure": 114.784607734833, "share_within_group": 100.0}, {"mean_Valence": "1.33333333333333", "wtd_mean_Density": "4590.1955", "total_measure": 58.3890173213251, "share_within_group": 100.0}, {"mean_Valence": "1.66666666666667", "wtd_mean_Density": "613.17175", "total_measure": 174.1400298610288, "share_within_group": 66.88834208509337}, {"mean_Valence": "6.33333333333333", "wtd_mean_Density": "5951.42857142857", "total_measure": 145.1510121443547, "share_within_group": 46.169567129568485}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..92425dcfb332b702e4c41718d45aba367597439a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/generated_sql.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_87cdd8a41a19a800 +-- problem_id: v2p_n5_85534f9449f6ddba +-- realization_mode: agent +-- source_kind: agent +SELECT "mean_Valence", "wtd_mean_Density", + SUM(CAST("wtd_std_atomic_radius" AS REAL)) AS total_measure, + SUM(CAST("wtd_std_atomic_radius" AS REAL)) * 100.0 / SUM(SUM(CAST("wtd_std_atomic_radius" AS REAL))) OVER (PARTITION BY "mean_Valence") AS share_within_group +FROM "n5" +WHERE "mean_Valence" IS NOT NULL AND "mean_Valence" <> '' + AND "wtd_mean_Density" IS NOT NULL AND "wtd_mean_Density" <> '' + AND "wtd_std_atomic_radius" IS NOT NULL AND "wtd_std_atomic_radius" <> '' +GROUP BY "mean_Valence", "wtd_mean_Density" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1260e97cfccc2db190a910491601d5e5434ee1f8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/query_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 \"mean_Valence\", \"wtd_mean_Density\",\n SUM(CAST(\"wtd_std_atomic_radius\" AS REAL)) AS total_measure,\n SUM(CAST(\"wtd_std_atomic_radius\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"wtd_std_atomic_radius\" AS REAL))) OVER (PARTITION BY \"mean_Valence\") AS share_within_group\nFROM \"n5\"\nWHERE \"mean_Valence\" IS NOT NULL AND \"mean_Valence\" <> ''\n AND \"wtd_mean_Density\" IS NOT NULL AND \"wtd_mean_Density\" <> ''\n AND \"wtd_std_atomic_radius\" IS NOT NULL AND \"wtd_std_atomic_radius\" <> ''\nGROUP BY \"mean_Valence\", \"wtd_mean_Density\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"mean_Valence\\\", \\\"wtd_mean_Density\\\",\\n SUM(CAST(\\\"wtd_std_atomic_radius\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"wtd_std_atomic_radius\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"wtd_std_atomic_radius\\\" AS REAL))) OVER (PARTITION BY \\\"mean_Valence\\\") AS share_within_group\\nFROM \\\"n5\\\"\\nWHERE \\\"mean_Valence\\\" IS NOT NULL AND \\\"mean_Valence\\\" <> ''\\n AND \\\"wtd_mean_Density\\\" IS NOT NULL AND \\\"wtd_mean_Density\\\" <> ''\\n AND \\\"wtd_std_atomic_radius\\\" IS NOT NULL AND \\\"wtd_std_atomic_radius\\\" <> ''\\nGROUP BY \\\"mean_Valence\\\", \\\"wtd_mean_Density\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"mean_Valence\", \"wtd_mean_Density\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"mean_Valence\": \"1\", \"wtd_mean_Density\": \"6993.89866666667\", \"total_measure\": 57.9827560572969, \"share_within_group\": 100.0}, {\"mean_Valence\": \"1.25\", \"wtd_mean_Density\": \"4080.27299444444\", \"total_measure\": 114.784607734833, \"share_within_group\": 100.0}, {\"mean_Valence\": \"1.33333333333333\", \"wtd_mean_Density\": \"4590.1955\", \"total_measure\": 58.3890173213251, \"share_within_group\": 100.0}, {\"mean_Valence\": \"1.66666666666667\", \"wtd_mean_Density\": \"613.17175\", \"total_measure\": 174.1400298610288, \"share_within_group\": 66.88834208509337}, {\"mean_Valence\": \"6.33333333333333\", \"wtd_mean_Density\": \"5951.42857142857\", \"total_measure\": 145.1510121443547, \"share_within_group\": 46.169567129568485}, {\"mean_Valence\": \"5.75\", \"wtd_mean_Density\": \"12180\", \"total_measure\": 8.47768209771987, \"share_within_group\": 36.722813828851784}, {\"mean_Valence\": \"4.4\", \"wtd_mean_Density\": \"9438.52459016394\", \"total_measure\": 64.198215793318, \"share_within_group\": 35.635278435700414}, {\"mean_Valence\": \"4.4\", \"wtd_mean_Density\": \"8807.61194029851\", \"total_measure\": 63.6930815972223, \"share_within_group\": 35.354887501110966}, {\"mean_Valence\": \"1.75\", \"wtd_mean_Density\": \"2032.32142857143\", \"total_measure\": 232.14650546583718, \"share_within_group\": 34.804389141510605}, {\"mean_Valence\": \"1.66666666666667\", \"wtd_mean_Density\": \"480.47175\", \"total_measure\": 86.204335737827, \"share_within_group\": 33.11165791490663}, {\"mean_Valence\": \"5.75\", \"wtd_mean_Density\": \"12570\", \"total_measure\": 7.59008399163013, \"share_within_group\": 32.878001104210746}, {\"mean_Valence\": \"5.75\", \"wtd_mean_Density\": \"13903.3333333333\", \"total_measure\": 7.0178344238091, \"share_within_group\": 30.399185066937466}, {\"mean_Valence\": \"1.5\", \"wtd_mean_Density\": \"484.7145\", \"total_measure\": 71.0, \"share_within_group\": 29.54625755859634}, {\"mean_Valence\": \"4.4\", \"wtd_mean_Density\": \"5819.17105263158\", \"total_measure\": 52.2622431778489, \"share_within_group\": 29.009834063188624}, {\"mean_Valence\": \"3.57142857142857\", \"wtd_mean_Density\": \"2900.50517241379\", \"total_measure\": 74.6481180247699, \"share_within_group\": 20.027609082792623}, {\"mean_Valence\": \"3.57142857142857\", \"wtd_mean_Density\": \"2917.29941176471\", \"total_measure\": 74.6055036607259, \"share_within_group\": 20.01617592349848}, {\"mean_Valence\": \"3.57142857142857\", \"wtd_mean_Density\": \"2814.69709302326\", \"total_measure\": 74.5701101316108, \"share_within_group\": 20.006680067689462}, {\"mean_Valence\": \"3.57142857142857\", \"wtd_mean_Density\": \"2726.87\", \"total_measure\": 74.4779672954139, \"share_within_group\": 19.981958738445517}, {\"mean_Valence\": \"3.57142857142857\", \"wtd_mean_Density\": \"2948.03470588235\", \"total_measure\": 74.4243597803819, \"share_within_group\": 19.967576187573915}, {\"mean_Valence\": \"2.875\", \"wtd_mean_Density\": \"2944.27315789474\", \"total_measure\": 133.7446796518652, \"share_within_group\": 18.641179503846637}, {\"mean_Valence\": \"1.75\", \"wtd_mean_Density\": \"4024.43887671233\", \"total_measure\": 113.4475656834672, \"share_within_group\": 17.00854042700865}, {\"mean_Valence\": \"1.5\", \"wtd_mean_Density\": \"9308\", \"total_measure\": 33.9411254969543, \"share_within_group\": 14.124411771290887}, {\"mean_Valence\": \"1.83333333333333\", \"wtd_mean_Density\": \"5493.0182826087\", \"total_measure\": 123.2892000261994, \"share_within_group\": 13.486109201141376}, {\"mean_Valence\": \"5.33333333333333\", \"wtd_mean_Density\": \"5913.33333333333\", \"total_measure\": 594.8687250141828, \"share_within_group\": 13.332204064665026}, {\"mean_Valence\": \"1.83333333333333\", \"wtd_mean_Density\": \"5553.36248351648\", \"total_measure\": 121.0311531441272, \"share_within_group\": 13.239110544110174}, {\"mean_Valence\": \"6.33333333333333\", \"wtd_mean_Density\": \"7185.35714285714\", \"total_measure\": 41.0624213725834, \"share_within_group\": 13.06111608907476}, {\"mean_Valence\": \"1.5\", \"wtd_mean_Density\": \"10364.5\", \"total_measure\": 31.1769145362398, \"share_within_group\": 12.974100658733626}, {\"mean_Valence\": \"5.5\", \"wtd_mean_Density\": \"6069.33333333333\", \"total_measure\": 940.452018978108, \"share_within_group\": 12.877920054854473}, {\"mean_Valence\": \"3.83333333333333\", \"wtd_mean_Density\": \"4541.3125\", \"total_measure\": 102.059590436176, \"share_within_group\": 12.074642741462295}, {\"mean_Valence\": \"1.5\", \"wtd_mean_Density\": \"10998.4\", \"total_measure\": 28.8, \"share_within_group\": 11.98496081250105}, {\"mean_Valence\": \"1.75\", \"wtd_mean_Density\": \"1940.90172987722\", \"total_measure\": 76.8857322928922, \"share_within_group\": 11.527035226233997}, {\"mean_Valence\": \"3.4\", \"wtd_mean_Density\": \"3969.5125\", \"total_measure\": 886.4876536083286, \"share_within_group\": 11.404437349227122}, {\"mean_Valence\": \"6.33333333333333\", \"wtd_mean_Density\": \"7692.85714285714\", \"total_measure\": 34.7645139268684, \"share_within_group\": 11.057880587681415}, {\"mean_Valence\": \"2.55555555555556\", \"wtd_mean_Density\": \"4197.98763929266\", \"total_measure\": 61.7876729528951, \"share_within_group\": 10.815401197697819}, {\"mean_Valence\": \"2.55555555555556\", \"wtd_mean_Density\": \"4448.38721843318\", \"total_measure\": 61.2356819602932, \"share_within_group\": 10.718779917801804}, {\"mean_Valence\": \"2.55555555555556\", \"wtd_mean_Density\": \"4709.64778629315\", \"total_measure\": 60.0822975926636, \"share_within_group\": 10.516889895489795}, {\"mean_Valence\": \"6.33333333333333\", \"wtd_mean_Density\": \"9505.71428571428\", \"total_measure\": 32.8322887364477, \"share_within_group\": 10.443279288519607}, {\"mean_Valence\": \"2.55555555555556\", \"wtd_mean_Density\": \"4806.95905169928\", \"total_measure\": 59.495668268604, \"share_within_group\": 10.414205473325593}, {\"mean_Valence\": \"6\", \"wtd_mean_Density\": \"7159.42857142857\", \"total_measure\": 430.538343595692, \"share_within_group\": 10.229414687494058}, {\"mean_Valence\": \"1.75\", \"wtd_mean_Density\": \"2210.18253968254\", \"total_measure\": 68.161556117993, \"share_within_group\": 10.219069715743162}, {\"mean_Valence\": \"2.55555555555556\", \"wtd_mean_Density\": \"5019.78751947484\", \"total_measure\": 57.8982553969705, \"share_within_group\": 10.134592077005356}, {\"mean_Valence\": \"4.2\", \"wtd_mean_Density\": \"8484.02985074627\", \"total_measure\": 55.1788117828805, \"share_within_group\": 9.877957211433502}, {\"mean_Valence\": \"1.8\", \"wtd_mean_Density\": \"3280.15688888889\", \"total_measure\": 426.09336483399454, \"share_within_group\": 9.853099776711678}, {\"mean_Valence\": \"2.375\", \"wtd_mean_Density\": \"3357.20584768212\", \"total_measure\": 75.3585230901221, \"share_within_group\": 9.789857330798515}, {\"mean_Valence\": \"2.75\", \"wtd_mean_Density\": \"3276.79514285714\", \"total_measure\": 2243.6226216927457, \"share_within_group\": 9.75366021971451}, {\"mean_Valence\": \"2.55555555555556\", \"wtd_mean_Density\": \"5260.92689194866\", \"total_measure\": 55.5263130792156, \"share_within_group\": 9.71940395681391}, {\"mean_Valence\": \"4.2\", \"wtd_mean_Density\": \"9499.18032786885\", \"total_measure\": 54.0559197655894, \"share_within_group\": 9.676940209771587}, {\"mean_Valence\": \"2.55555555555556\", \"wtd_mean_Density\": \"4974.23910631664\", \"total_measure\": 54.9187205686781, \"share_within_group\": 9.613050108997221}, {\"mean_Valence\": \"2.375\", \"wtd_mean_Density\": \"3081.05612863505\", \"total_measure\": 73.7658495175109, \"share_within_group\": 9.582952439207817}, {\"mean_Valence\": \"2.375\", \"wtd_mean_Density\": \"3078.8191113294\", \"total_measure\": 73.762333744927, \"share_within_group\": 9.582495703717358}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 85.94}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ad3e329bf61045c3d1f8c7d81dfdcbb5c99c3ab9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:41:41.476696+00:00", + "ended_at": "2026-05-19T15:41:58.135735+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_87cdd8a41a19a800", + "problem_id": "v2p_n5_85534f9449f6ddba", + "dataset_id": "n5", + "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=mean_Valence, measure_col=wtd_std_atomic_radius.", + "bindings": { + "group_col": "mean_Valence", + "measure_col": "wtd_std_atomic_radius", + "item_col": "wtd_mean_Density", + "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": 78.404619, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=30" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_87cdd8a41a19a800.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_87cdd8a41a19a800", + "api_calls": 0, + "input_tokens": 25700, + "cached_input_tokens": 12032, + "output_tokens": 774, + "total_tokens": 26474, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16556.99, + "sql_execution_elapsed_ms_total": 85.94, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8448160db101bf77cfce1be8ca3c5fe2b4e81236 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:58.047649+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16556.99, "started_at": "2026-05-19T15:41:41.489406+00:00", "ended_at": "2026-05-19T15:41:58.046428+00:00", "prompt_metrics": {"chars": 45251, "bytes_utf8": 45251, "lines": 1082, "estimated_tokens": null}, "response_metrics": {"chars": 876, "bytes_utf8": 876, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25700, "cached_input_tokens": 12032, "output_tokens": 774, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"mean_Valence\\\", \\\"wtd_mean_Density\\\",\\n SUM(CAST(\\\"wtd_std_atomic_radius\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"wtd_std_atomic_radius\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"wtd_std_atomic_radius\\\" AS REAL))) OVER (PARTITION BY \\\"mean_Valence\\\") AS share_within_group\\nFROM \\\"n5\\\"\\nWHERE \\\"mean_Valence\\\" IS NOT NULL AND \\\"mean_Valence\\\" <> ''\\n AND \\\"wtd_mean_Density\\\" IS NOT NULL AND \\\"wtd_mean_Density\\\" <> ''\\n AND \\\"wtd_std_atomic_radius\\\" IS NOT NULL AND \\\"wtd_std_atomic_radius\\\" <> ''\\nGROUP BY \\\"mean_Valence\\\", \\\"wtd_mean_Density\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the required template with group_col=\\\"mean_Valence\\\", item_col=\\\"wtd_mean_Density\\\", and measure_col=\\\"wtd_std_atomic_radius\\\". Cast the measure to REAL because the schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1f5e1a5698a54043857fc1db34182e1c8e3d4233 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_87cdd8a41a19a800", + "api_calls": 0, + "input_tokens": 25700, + "cached_input_tokens": 12032, + "output_tokens": 774, + "total_tokens": 26474, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16556.99, + "sql_execution_elapsed_ms_total": 85.94, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_87cdd8a41a19a800/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b34f1493b825737ce4a3d41a6a61f83dde8d816c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/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=range_atomic_radius. +Result preview: [{"range_atomic_radius": "205", "row_count": 6141}, {"range_atomic_radius": "171", "row_count": 3124}, {"range_atomic_radius": "139", "row_count": 442}, {"range_atomic_radius": "199", "row_count": 358}, {"range_atomic_radius": "53", "row_count": 317}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..74d7e4dbd7d1cb99d8ee9d0d26c73a995f911d3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_88ea45f6139bf398 +-- problem_id: v2p_n5_49124d7aa7383b1e +-- realization_mode: agent +-- source_kind: agent +SELECT "range_atomic_radius", COUNT(*) AS row_count +FROM "n5" +GROUP BY "range_atomic_radius" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7f3878a349204d885278d75bc4375c4d4c9cba76 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/query_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 \"range_atomic_radius\", COUNT(*) AS row_count\nFROM \"n5\"\nGROUP BY \"range_atomic_radius\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"range_atomic_radius\\\", COUNT(*) AS row_count\\nFROM \\\"n5\\\"\\nGROUP BY \\\"range_atomic_radius\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"range_atomic_radius\", \"row_count\"], \"rows\": [{\"range_atomic_radius\": \"205\", \"row_count\": 6141}, {\"range_atomic_radius\": \"171\", \"row_count\": 3124}, {\"range_atomic_radius\": \"139\", \"row_count\": 442}, {\"range_atomic_radius\": \"199\", \"row_count\": 358}, {\"range_atomic_radius\": \"53\", \"row_count\": 317}, {\"range_atomic_radius\": \"0\", \"row_count\": 305}, {\"range_atomic_radius\": \"80\", \"row_count\": 304}, {\"range_atomic_radius\": \"33\", \"row_count\": 246}, {\"range_atomic_radius\": \"147\", \"row_count\": 245}, {\"range_atomic_radius\": \"185\", \"row_count\": 224}, {\"range_atomic_radius\": \"145\", \"row_count\": 215}, {\"range_atomic_radius\": \"158\", \"row_count\": 208}, {\"range_atomic_radius\": \"190\", \"row_count\": 207}, {\"range_atomic_radius\": \"142\", \"row_count\": 201}, {\"range_atomic_radius\": \"2\", \"row_count\": 185}, {\"range_atomic_radius\": \"153\", \"row_count\": 181}, {\"range_atomic_radius\": \"58\", \"row_count\": 172}, {\"range_atomic_radius\": \"150\", \"row_count\": 151}, {\"range_atomic_radius\": \"103\", \"row_count\": 146}, {\"range_atomic_radius\": \"62\", \"row_count\": 144}, {\"range_atomic_radius\": \"87\", \"row_count\": 135}, {\"range_atomic_radius\": \"183\", \"row_count\": 133}, {\"range_atomic_radius\": \"164\", \"row_count\": 131}, {\"range_atomic_radius\": \"35\", \"row_count\": 126}, {\"range_atomic_radius\": \"111\", \"row_count\": 124}, {\"range_atomic_radius\": \"60\", \"row_count\": 121}, {\"range_atomic_radius\": \"29\", \"row_count\": 108}, {\"range_atomic_radius\": \"73\", \"row_count\": 106}, {\"range_atomic_radius\": \"57\", \"row_count\": 106}, {\"range_atomic_radius\": \"5\", \"row_count\": 105}, {\"range_atomic_radius\": \"146\", \"row_count\": 103}, {\"range_atomic_radius\": \"196\", \"row_count\": 99}, {\"range_atomic_radius\": \"7\", \"row_count\": 97}, {\"range_atomic_radius\": \"95\", \"row_count\": 96}, {\"range_atomic_radius\": \"128\", \"row_count\": 96}, {\"range_atomic_radius\": \"10\", \"row_count\": 96}, {\"range_atomic_radius\": \"108\", \"row_count\": 94}, {\"range_atomic_radius\": \"84\", \"row_count\": 93}, {\"range_atomic_radius\": \"211\", \"row_count\": 93}, {\"range_atomic_radius\": \"106\", \"row_count\": 92}, {\"range_atomic_radius\": \"78\", \"row_count\": 91}, {\"range_atomic_radius\": \"12\", \"row_count\": 90}, {\"range_atomic_radius\": \"77\", \"row_count\": 89}, {\"range_atomic_radius\": \"74\", \"row_count\": 89}, {\"range_atomic_radius\": \"70\", \"row_count\": 88}, {\"range_atomic_radius\": \"159\", \"row_count\": 88}, {\"range_atomic_radius\": \"22\", \"row_count\": 87}, {\"range_atomic_radius\": \"195\", \"row_count\": 86}, {\"range_atomic_radius\": \"8\", \"row_count\": 84}, {\"range_atomic_radius\": \"178\", \"row_count\": 84}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 34.12}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..7d97d8f6225da258a75b0b022712196de3ac1ff7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:35:15.369849+00:00", + "ended_at": "2026-05-19T15:35:23.575590+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_88ea45f6139bf398", + "problem_id": "v2p_n5_49124d7aa7383b1e", + "dataset_id": "n5", + "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=range_atomic_radius.", + "bindings": { + "group_col": "range_atomic_radius", + "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": 1.536066, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_88ea45f6139bf398.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_88ea45f6139bf398", + "api_calls": 0, + "input_tokens": 25545, + "cached_input_tokens": 12032, + "output_tokens": 234, + "total_tokens": 25779, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8155.94, + "sql_execution_elapsed_ms_total": 34.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..02c4f99386ace54a63461f51a94275a2381c52c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:23.538408+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 8155.94, "started_at": "2026-05-19T15:35:15.380532+00:00", "ended_at": "2026-05-19T15:35:23.536505+00:00", "prompt_metrics": {"chars": 44732, "bytes_utf8": 44732, "lines": 1078, "estimated_tokens": null}, "response_metrics": {"chars": 322, "bytes_utf8": 322, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25545, "cached_input_tokens": 12032, "output_tokens": 234, "reasoning_output_tokens": 151}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"range_atomic_radius\\\", COUNT(*) AS row_count\\nFROM \\\"n5\\\"\\nGROUP BY \\\"range_atomic_radius\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided Grouped Count by Category template with group_col bound to \\\"range_atomic_radius\\\" on the single table \\\"n5\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5e4c96a1d0bcfae63ae7ad91465eca4e99b97da4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_88ea45f6139bf398", + "api_calls": 0, + "input_tokens": 25545, + "cached_input_tokens": 12032, + "output_tokens": 234, + "total_tokens": 25779, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8155.94, + "sql_execution_elapsed_ms_total": 34.12, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_88ea45f6139bf398/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_8977d4f2922628a0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_8977d4f2922628a0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1c99859bc8f3b089c71a0f1eabb77a321c74c914 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_8977d4f2922628a0/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:12:30.947795+00:00", + "ended_at": "2026-05-19T16:12:42.334280+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_8977d4f2922628a0", + "problem_id": "v2p_n5_9f5a03c236918a8d", + "dataset_id": "n5", + "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=std_Valence.", + "bindings": { + "group_col": "std_Valence", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 93.397315, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=1/2", + "binding_index=125" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_8977d4f2922628a0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_8977d4f2922628a0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..da8042b8e430fb460abb5c2c27c98f6d96ff300e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_8977d4f2922628a0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:12:35.862663+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": 4902.4, "started_at": "2026-05-19T16:12:30.959139+00:00", "ended_at": "2026-05-19T16:12:35.861570+00:00", "prompt_metrics": {"chars": 44797, "bytes_utf8": 44797, "lines": 1078, "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\":\"019e4102-9e78-7371-8197-c133cd359274\"}\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": "2026-05-19T16:12:42.334191+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": 5468.74, "started_at": "2026-05-19T16:12:36.864195+00:00", "ended_at": "2026-05-19T16:12:42.332966+00:00", "prompt_metrics": {"chars": 44797, "bytes_utf8": 44797, "lines": 1078, "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\":\"019e4102-b588-73e1-8890-bb2daf2884c9\"}\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_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..545b80268c550554063972c0adb99dac13b988e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/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=std_Valence. +Result preview: [{"std_Valence": "0.433012701892219", "row_count": 1939}, {"std_Valence": "0.4", "row_count": 1617}, {"std_Valence": "0.5", "row_count": 1406}, {"std_Valence": "0", "row_count": 1398}, {"std_Valence": "0.471404520791032", "row_count": 1178}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1fa1b933f0fdff30f4b81bc45a17d90009fc81a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_93b38628ec19b4aa +-- problem_id: v2p_n5_50c34d789b314c73 +-- realization_mode: agent +-- source_kind: agent +SELECT "std_Valence", COUNT(*) AS "row_count" +FROM "n5" +GROUP BY "std_Valence" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..64ba8d432db1580f58f8e7b9d7e2ab3fe43e4d71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/query_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 \"std_Valence\", COUNT(*) AS \"row_count\"\nFROM \"n5\"\nGROUP BY \"std_Valence\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"std_Valence\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n5\\\"\\nGROUP BY \\\"std_Valence\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"std_Valence\", \"row_count\"], \"rows\": [{\"std_Valence\": \"0.433012701892219\", \"row_count\": 1939}, {\"std_Valence\": \"0.4\", \"row_count\": 1617}, {\"std_Valence\": \"0.5\", \"row_count\": 1406}, {\"std_Valence\": \"0\", \"row_count\": 1398}, {\"std_Valence\": \"0.471404520791032\", \"row_count\": 1178}, {\"std_Valence\": \"1\", \"row_count\": 1002}, {\"std_Valence\": \"0.8\", \"row_count\": 940}, {\"std_Valence\": \"0.489897948556636\", \"row_count\": 859}, {\"std_Valence\": \"0.816496580927726\", \"row_count\": 845}, {\"std_Valence\": \"1.24721912892465\", \"row_count\": 742}, {\"std_Valence\": \"1.5\", \"row_count\": 540}, {\"std_Valence\": \"0.942809041582063\", \"row_count\": 489}, {\"std_Valence\": \"1.4142135623731\", \"row_count\": 481}, {\"std_Valence\": \"0.763762615825973\", \"row_count\": 454}, {\"std_Valence\": \"1.2\", \"row_count\": 377}, {\"std_Valence\": \"1.10554159678513\", \"row_count\": 332}, {\"std_Valence\": \"0.632455532033676\", \"row_count\": 322}, {\"std_Valence\": \"1.4790199457749\", \"row_count\": 287}, {\"std_Valence\": \"0.82915619758885\", \"row_count\": 286}, {\"std_Valence\": \"1.16619037896906\", \"row_count\": 282}, {\"std_Valence\": \"1.29903810567666\", \"row_count\": 277}, {\"std_Valence\": \"0.372677996249965\", \"row_count\": 276}, {\"std_Valence\": \"1.11803398874989\", \"row_count\": 268}, {\"std_Valence\": \"1.21335164821342\", \"row_count\": 266}, {\"std_Valence\": \"1.08972473588517\", \"row_count\": 240}, {\"std_Valence\": \"1.69967317119759\", \"row_count\": 224}, {\"std_Valence\": \"1.46249406456535\", \"row_count\": 193}, {\"std_Valence\": \"1.22474487139159\", \"row_count\": 188}, {\"std_Valence\": \"1.32664991614216\", \"row_count\": 180}, {\"std_Valence\": \"0.748331477354788\", \"row_count\": 179}, {\"std_Valence\": \"0.707106781186548\", \"row_count\": 171}, {\"std_Valence\": \"1.12485826771597\", \"row_count\": 170}, {\"std_Valence\": \"1.54919333848297\", \"row_count\": 164}, {\"std_Valence\": \"0.728431359084684\", \"row_count\": 154}, {\"std_Valence\": \"1.63299316185545\", \"row_count\": 140}, {\"std_Valence\": \"1.15470053837925\", \"row_count\": 117}, {\"std_Valence\": \"2\", \"row_count\": 114}, {\"std_Valence\": \"1.46969384566991\", \"row_count\": 111}, {\"std_Valence\": \"2.16024689946929\", \"row_count\": 104}, {\"std_Valence\": \"2.05480466765633\", \"row_count\": 104}, {\"std_Valence\": \"1.35646599662505\", \"row_count\": 101}, {\"std_Valence\": \"1.88561808316413\", \"row_count\": 99}, {\"std_Valence\": \"1.85472369909914\", \"row_count\": 94}, {\"std_Valence\": \"0.866025403784439\", \"row_count\": 88}, {\"std_Valence\": \"1.58113883008419\", \"row_count\": 86}, {\"std_Valence\": \"0.451753951452626\", \"row_count\": 75}, {\"std_Valence\": \"0.74535599249993\", \"row_count\": 72}, {\"std_Valence\": \"1.01980390271856\", \"row_count\": 67}, {\"std_Valence\": \"1.26491106406735\", \"row_count\": 58}, {\"std_Valence\": \"1.04978131833565\", \"row_count\": 56}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 32.73}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e1a9b530115f90eeafea617990663ec4987c34be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:34:53.815334+00:00", + "ended_at": "2026-05-19T15:35:01.349897+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_93b38628ec19b4aa", + "problem_id": "v2p_n5_50c34d789b314c73", + "dataset_id": "n5", + "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=std_Valence.", + "bindings": { + "group_col": "std_Valence", + "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": 727.96061, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_93b38628ec19b4aa.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_93b38628ec19b4aa", + "api_calls": 0, + "input_tokens": 25547, + "cached_input_tokens": 12032, + "output_tokens": 220, + "total_tokens": 25767, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7486.68, + "sql_execution_elapsed_ms_total": 32.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c0a0016abbd5405cf0999c40cc4773866517e5fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:01.314582+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 7486.68, "started_at": "2026-05-19T15:34:53.826418+00:00", "ended_at": "2026-05-19T15:35:01.313131+00:00", "prompt_metrics": {"chars": 44717, "bytes_utf8": 44717, "lines": 1078, "estimated_tokens": null}, "response_metrics": {"chars": 291, "bytes_utf8": 291, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25547, "cached_input_tokens": 12032, "output_tokens": 220, "reasoning_output_tokens": 133}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"std_Valence\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n5\\\"\\nGROUP BY \\\"std_Valence\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the provided grouped-count template with group_col bound to \\\"std_Valence\\\" on the single table \\\"n5\\\".\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9d646104f18130f1f964850c55905cd45cbee979 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_93b38628ec19b4aa", + "api_calls": 0, + "input_tokens": 25547, + "cached_input_tokens": 12032, + "output_tokens": 220, + "total_tokens": 25767, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7486.68, + "sql_execution_elapsed_ms_total": 32.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_93b38628ec19b4aa/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..28afef150dec8edc808ce7b9ddbc0e440b949f66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/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=std_Valence, measure_col=wtd_gmean_Density. +Result preview: [{"std_Valence": 0.85695682505013, "wtd_entropy_Density": 1.17254359561593, "total_measure": 67.9495675463039, "share_within_group": 100.0}, {"std_Valence": 0.903507902905251, "wtd_entropy_Density": 1.09687010963379, "total_measure": 61.0291801615216, "share_within_group": 100.0}, {"std_Valence": 0.968245836551854, "wtd_entropy_Density": 1.33478674326551, "total_measure": 60.5172136953794, "share_within_group": 100.0}, {"std_Valence": 1.74355957741627, "wtd_entropy_Density": 1.16364807685326, "total_measure": 66.6695929838536, "share_within_group": 100.0}, {"std_Valence": 1.82574185835055, "wtd_entropy_Density": 1.00797648586861, "total_measure": 1644.31830756642, "share_within_group": 100.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..2165691d77ae8c55fed11f638c64912e5e9376b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_9697a19cfa750a1a +-- problem_id: v2p_n5_10ec943543c288e0 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("std_Valence" AS REAL) AS "std_Valence", + CAST("wtd_entropy_Density" AS REAL) AS "wtd_entropy_Density", + SUM(CAST("wtd_gmean_Density" AS REAL)) AS "total_measure", + SUM(CAST("wtd_gmean_Density" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("wtd_gmean_Density" AS REAL))) OVER (PARTITION BY CAST("std_Valence" AS REAL)), 0.0) AS "share_within_group" +FROM "n5" +GROUP BY CAST("std_Valence" AS REAL), CAST("wtd_entropy_Density" AS REAL) +ORDER BY "share_within_group" DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..418b1d4713c478bed266d955a28ec6241f77ae97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT CAST(\"std_Valence\" AS REAL) AS \"std_Valence\",\n CAST(\"wtd_entropy_Density\" AS REAL) AS \"wtd_entropy_Density\",\n SUM(CAST(\"wtd_gmean_Density\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"wtd_gmean_Density\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\"wtd_gmean_Density\" AS REAL))) OVER (PARTITION BY CAST(\"std_Valence\" AS REAL)), 0.0) AS \"share_within_group\"\nFROM \"n5\"\nGROUP BY CAST(\"std_Valence\" AS REAL), CAST(\"wtd_entropy_Density\" AS REAL)\nORDER BY \"share_within_group\" DESC\nLIMIT 14;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT CAST(\\\"std_Valence\\\" AS REAL) AS \\\"std_Valence\\\",\\n CAST(\\\"wtd_entropy_Density\\\" AS REAL) AS \\\"wtd_entropy_Density\\\",\\n SUM(CAST(\\\"wtd_gmean_Density\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"wtd_gmean_Density\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"wtd_gmean_Density\\\" AS REAL))) OVER (PARTITION BY CAST(\\\"std_Valence\\\" AS REAL)), 0.0) AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nGROUP BY CAST(\\\"std_Valence\\\" AS REAL), CAST(\\\"wtd_entropy_Density\\\" AS REAL)\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 14;\", \"columns\": [\"std_Valence\", \"wtd_entropy_Density\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"std_Valence\": 0.85695682505013, \"wtd_entropy_Density\": 1.17254359561593, \"total_measure\": 67.9495675463039, \"share_within_group\": 100.0}, {\"std_Valence\": 0.903507902905251, \"wtd_entropy_Density\": 1.09687010963379, \"total_measure\": 61.0291801615216, \"share_within_group\": 100.0}, {\"std_Valence\": 0.968245836551854, \"wtd_entropy_Density\": 1.33478674326551, \"total_measure\": 60.5172136953794, \"share_within_group\": 100.0}, {\"std_Valence\": 1.74355957741627, \"wtd_entropy_Density\": 1.16364807685326, \"total_measure\": 66.6695929838536, \"share_within_group\": 100.0}, {\"std_Valence\": 1.82574185835055, \"wtd_entropy_Density\": 1.00797648586861, \"total_measure\": 1644.31830756642, \"share_within_group\": 100.0}, {\"std_Valence\": 1.89296944860009, \"wtd_entropy_Density\": 1.35084089468147, \"total_measure\": 1789.4936414231, \"share_within_group\": 100.0}, {\"std_Valence\": 2.62466929133727, \"wtd_entropy_Density\": 0.0672107464850004, \"total_measure\": 20.7977634492128, \"share_within_group\": 100.0}, {\"std_Valence\": 1.49666295470958, \"wtd_entropy_Density\": 1.11911859156146, \"total_measure\": 5033.81757546579, \"share_within_group\": 80.26927108589231}, {\"std_Valence\": 1.7950549357115, \"wtd_entropy_Density\": 1.24152041274909, \"total_measure\": 1936.338224562, \"share_within_group\": 76.03652126306872}, {\"std_Valence\": 3.0, \"wtd_entropy_Density\": 0.487072162903867, \"total_measure\": 8161.29936336143, \"share_within_group\": 72.81686539516075}, {\"std_Valence\": 1.72614942479922, \"wtd_entropy_Density\": 1.6418010548643, \"total_measure\": 6790.00603164237, \"share_within_group\": 68.06291298532732}, {\"std_Valence\": 2.1650635094611, \"wtd_entropy_Density\": 0.697387551866371, \"total_measure\": 458.014285642986, \"share_within_group\": 54.45702925890499}, {\"std_Valence\": 1.88441513689613, \"wtd_entropy_Density\": 1.59967518118577, \"total_measure\": 2551.43905958441, \"share_within_group\": 53.233945079129086}, {\"std_Valence\": 0.687184270936277, \"wtd_entropy_Density\": 1.0407596644581, \"total_measure\": 1026.23601779307, \"share_within_group\": 52.18904611995267}], \"row_count_returned\": 14, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 104.25}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8d67eb8deb8f5e910aa760598da50848d919ea67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:44:00.267703+00:00", + "ended_at": "2026-05-19T15:44:45.601136+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_9697a19cfa750a1a", + "problem_id": "v2p_n5_10ec943543c288e0", + "dataset_id": "n5", + "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=std_Valence, measure_col=wtd_gmean_Density.", + "bindings": { + "group_col": "std_Valence", + "measure_col": "wtd_gmean_Density", + "item_col": "wtd_entropy_Density", + "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": 68.34018, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=11", + "sql_variant_index=1/2", + "binding_index=34" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 11, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_9697a19cfa750a1a.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_9697a19cfa750a1a", + "api_calls": 0, + "input_tokens": 25703, + "cached_input_tokens": 24960, + "output_tokens": 1755, + "total_tokens": 27458, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 45215.01, + "sql_execution_elapsed_ms_total": 104.25, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..72251b431b6246214e6b6ada31280b1f5d34477d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:44:45.494981+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 45215.01, "started_at": "2026-05-19T15:44:00.278152+00:00", "ended_at": "2026-05-19T15:44:45.493194+00:00", "prompt_metrics": {"chars": 45246, "bytes_utf8": 45246, "lines": 1082, "estimated_tokens": null}, "response_metrics": {"chars": 842, "bytes_utf8": 842, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25703, "cached_input_tokens": 24960, "output_tokens": 1755, "reasoning_output_tokens": 1504}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT CAST(\\\"std_Valence\\\" AS REAL) AS \\\"std_Valence\\\",\\n CAST(\\\"wtd_entropy_Density\\\" AS REAL) AS \\\"wtd_entropy_Density\\\",\\n SUM(CAST(\\\"wtd_gmean_Density\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"wtd_gmean_Density\\\" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST(\\\"wtd_gmean_Density\\\" AS REAL))) OVER (PARTITION BY CAST(\\\"std_Valence\\\" AS REAL)), 0.0) AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nGROUP BY CAST(\\\"std_Valence\\\" AS REAL), CAST(\\\"wtd_entropy_Density\\\" AS REAL)\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 14;\",\"notes\":\"Uses the planned within-group share template with group_col=\\\"std_Valence\\\", item_col=\\\"wtd_entropy_Density\\\", and measure_col=\\\"wtd_gmean_Density\\\". Numeric fields are cast from TEXT to REAL for SQLite aggregation and window calculations.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4b3f976d7aa620c35853f5e621e6682a4df41591 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_9697a19cfa750a1a", + "api_calls": 0, + "input_tokens": 25703, + "cached_input_tokens": 24960, + "output_tokens": 1755, + "total_tokens": 27458, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 45215.01, + "sql_execution_elapsed_ms_total": 104.25, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9697a19cfa750a1a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a4cbd886783a7525441a60cbc5cfe6771220872 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/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=std_Valence, measure_col=std_atomic_mass. +Result preview: [{"std_Valence": 2.0, "percentile_measure": 89.288379}, {"std_Valence": 2.5, "percentile_measure": 88.597409}, {"std_Valence": 1.70782512765993, "percentile_measure": 85.0808828819627}, {"std_Valence": 1.69967317119759, "percentile_measure": 84.3807429074114}, {"std_Valence": 1.46969384566991, "percentile_measure": 81.4468867756257}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0d3b67ac3a25fcb6a70406ef6367c8d0d706469d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/generated_sql.sql @@ -0,0 +1,64 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_98e48f68206de725 +-- problem_id: v2p_n5_2c083d4a5a62bf20 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + CAST("std_Valence" AS REAL) AS "std_Valence", + CAST("std_atomic_mass" AS REAL) AS "std_atomic_mass", + ROW_NUMBER() OVER ( + PARTITION BY CAST("std_Valence" AS REAL) + ORDER BY CAST("std_atomic_mass" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY CAST("std_Valence" AS REAL) + ) AS "cnt" + FROM "n5" + WHERE "std_Valence" IS NOT NULL + AND "std_atomic_mass" IS NOT NULL +), +"targets" AS ( + SELECT + "std_Valence", + MAX("cnt") AS "cnt", + (1.0 + (MAX("cnt") - 1) * 0.9) AS "pos", + CAST(1.0 + (MAX("cnt") - 1) * 0.9 AS INTEGER) AS "lo_rn", + CASE + WHEN (1.0 + (MAX("cnt") - 1) * 0.9) = CAST(1.0 + (MAX("cnt") - 1) * 0.9 AS INTEGER) + THEN CAST(1.0 + (MAX("cnt") - 1) * 0.9 AS INTEGER) + ELSE CAST(1.0 + (MAX("cnt") - 1) * 0.9 AS INTEGER) + 1 + END AS "hi_rn" + FROM "ranked" + GROUP BY "std_Valence" +), +"picked" AS ( + SELECT + t."std_Valence", + t."cnt", + t."pos", + MAX(CASE WHEN r."rn" = t."lo_rn" THEN r."std_atomic_mass" END) AS "lo_val", + MAX(CASE WHEN r."rn" = t."hi_rn" THEN r."std_atomic_mass" END) AS "hi_val" + FROM "targets" AS t + JOIN "ranked" AS r + ON r."std_Valence" = t."std_Valence" + GROUP BY t."std_Valence", t."cnt", t."pos" +) +SELECT + "std_Valence", + CASE + WHEN "pos" = CAST("pos" AS INTEGER) THEN "lo_val" + ELSE "lo_val" + ("pos" - CAST("pos" AS INTEGER)) * ("hi_val" - "lo_val") + END AS "percentile_measure" +FROM "picked" +WHERE "cnt" >= 5 +ORDER BY "percentile_measure" DESC +LIMIT 15; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..517735405b80e26d3ac19ac8b3302421f540ccfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n CAST(\"std_Valence\" AS REAL) AS \"std_Valence\",\n CAST(\"std_atomic_mass\" AS REAL) AS \"std_atomic_mass\",\n ROW_NUMBER() OVER (\n PARTITION BY CAST(\"std_Valence\" AS REAL)\n ORDER BY CAST(\"std_atomic_mass\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY CAST(\"std_Valence\" AS REAL)\n ) AS \"cnt\"\n FROM \"n5\"\n WHERE \"std_Valence\" IS NOT NULL\n AND \"std_atomic_mass\" IS NOT NULL\n),\n\"targets\" AS (\n SELECT\n \"std_Valence\",\n MAX(\"cnt\") AS \"cnt\",\n (1.0 + (MAX(\"cnt\") - 1) * 0.9) AS \"pos\",\n CAST(1.0 + (MAX(\"cnt\") - 1) * 0.9 AS INTEGER) AS \"lo_rn\",\n CASE\n WHEN (1.0 + (MAX(\"cnt\") - 1) * 0.9) = CAST(1.0 + (MAX(\"cnt\") - 1) * 0.9 AS INTEGER)\n THEN CAST(1.0 + (MAX(\"cnt\") - 1) * 0.9 AS INTEGER)\n ELSE CAST(1.0 + (MAX(\"cnt\") - 1) * 0.9 AS INTEGER) + 1\n END AS \"hi_rn\"\n FROM \"ranked\"\n GROUP BY \"std_Valence\"\n),\n\"picked\" AS (\n SELECT\n t.\"std_Valence\",\n t.\"cnt\",\n t.\"pos\",\n MAX(CASE WHEN r.\"rn\" = t.\"lo_rn\" THEN r.\"std_atomic_mass\" END) AS \"lo_val\",\n MAX(CASE WHEN r.\"rn\" = t.\"hi_rn\" THEN r.\"std_atomic_mass\" END) AS \"hi_val\"\n FROM \"targets\" AS t\n JOIN \"ranked\" AS r\n ON r.\"std_Valence\" = t.\"std_Valence\"\n GROUP BY t.\"std_Valence\", t.\"cnt\", t.\"pos\"\n)\nSELECT\n \"std_Valence\",\n CASE\n WHEN \"pos\" = CAST(\"pos\" AS INTEGER) THEN \"lo_val\"\n ELSE \"lo_val\" + (\"pos\" - CAST(\"pos\" AS INTEGER)) * (\"hi_val\" - \"lo_val\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nWHERE \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC\nLIMIT 15;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n CAST(\\\"std_Valence\\\" AS REAL) AS \\\"std_Valence\\\",\\n CAST(\\\"std_atomic_mass\\\" AS REAL) AS \\\"std_atomic_mass\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY CAST(\\\"std_Valence\\\" AS REAL)\\n ORDER BY CAST(\\\"std_atomic_mass\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY CAST(\\\"std_Valence\\\" AS REAL)\\n ) AS \\\"cnt\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"std_Valence\\\" IS NOT NULL\\n AND \\\"std_atomic_mass\\\" IS NOT NULL\\n),\\n\\\"targets\\\" AS (\\n SELECT\\n \\\"std_Valence\\\",\\n MAX(\\\"cnt\\\") AS \\\"cnt\\\",\\n (1.0 + (MAX(\\\"cnt\\\") - 1) * 0.9) AS \\\"pos\\\",\\n CAST(1.0 + (MAX(\\\"cnt\\\") - 1) * 0.9 AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN (1.0 + (MAX(\\\"cnt\\\") - 1) * 0.9) = CAST(1.0 + (MAX(\\\"cnt\\\") - 1) * 0.9 AS INTEGER)\\n THEN CAST(1.0 + (MAX(\\\"cnt\\\") - 1) * 0.9 AS INTEGER)\\n ELSE CAST(1.0 + (MAX(\\\"cnt\\\") - 1) * 0.9 AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ranked\\\"\\n GROUP BY \\\"std_Valence\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n t.\\\"std_Valence\\\",\\n t.\\\"cnt\\\",\\n t.\\\"pos\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = t.\\\"lo_rn\\\" THEN r.\\\"std_atomic_mass\\\" END) AS \\\"lo_val\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = t.\\\"hi_rn\\\" THEN r.\\\"std_atomic_mass\\\" END) AS \\\"hi_val\\\"\\n FROM \\\"targets\\\" AS t\\n JOIN \\\"ranked\\\" AS r\\n ON r.\\\"std_Valence\\\" = t.\\\"std_Valence\\\"\\n GROUP BY t.\\\"std_Valence\\\", t.\\\"cnt\\\", t.\\\"pos\\\"\\n)\\nSELECT\\n \\\"std_Valence\\\",\\n CASE\\n WHEN \\\"pos\\\" = CAST(\\\"pos\\\" AS INTEGER) THEN \\\"lo_val\\\"\\n ELSE \\\"lo_val\\\" + (\\\"pos\\\" - CAST(\\\"pos\\\" AS INTEGER)) * (\\\"hi_val\\\" - \\\"lo_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nWHERE \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC\\nLIMIT 15;\", \"columns\": [\"std_Valence\", \"percentile_measure\"], \"rows\": [{\"std_Valence\": 2.0, \"percentile_measure\": 89.288379}, {\"std_Valence\": 2.5, \"percentile_measure\": 88.597409}, {\"std_Valence\": 1.70782512765993, \"percentile_measure\": 85.0808828819627}, {\"std_Valence\": 1.69967317119759, \"percentile_measure\": 84.3807429074114}, {\"std_Valence\": 1.46969384566991, \"percentile_measure\": 81.4468867756257}, {\"std_Valence\": 1.6393596310755, \"percentile_measure\": 81.1540242829366}, {\"std_Valence\": 2.06155281280883, \"percentile_measure\": 81.0369197116978}, {\"std_Valence\": 0.897527467855751, \"percentile_measure\": 80.263999922838}, {\"std_Valence\": 1.92028643696715, \"percentile_measure\": 80.1831668040233}, {\"std_Valence\": 0.832993127835043, \"percentile_measure\": 79.97079373162}, {\"std_Valence\": 1.85472369909914, \"percentile_measure\": 78.4802090872555}, {\"std_Valence\": 1.26491106406735, \"percentile_measure\": 78.1249287039572}, {\"std_Valence\": 1.80277563773199, \"percentile_measure\": 77.5676161068522}, {\"std_Valence\": 2.16024689946929, \"percentile_measure\": 77.525715442403}, {\"std_Valence\": 1.5, \"percentile_measure\": 77.5155739189027}], \"row_count_returned\": 15, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 113.4}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f3afb52b7117d6775beb4e00460bd920db7072c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:05:41.483028+00:00", + "ended_at": "2026-05-19T16:06:20.463826+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_98e48f68206de725", + "problem_id": "v2p_n5_2c083d4a5a62bf20", + "dataset_id": "n5", + "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=std_Valence, measure_col=std_atomic_mass.", + "bindings": { + "group_col": "std_Valence", + "measure_col": "std_atomic_mass", + "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": 56.282974, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "notes": [ + "default_facets=rare_target_concentration", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=90" + ], + "template_selection_mode": "rule", + "selected_template_rank": 8, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_98e48f68206de725.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_98e48f68206de725", + "api_calls": 0, + "input_tokens": 25614, + "cached_input_tokens": 12032, + "output_tokens": 3033, + "total_tokens": 28647, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 38850.5, + "sql_execution_elapsed_ms_total": 113.4, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1dbed494f552654b2d9d86334bd424b90f5b227e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T16:06:20.348590+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 38850.5, "started_at": "2026-05-19T16:05:41.496923+00:00", "ended_at": "2026-05-19T16:06:20.347464+00:00", "prompt_metrics": {"chars": 45001, "bytes_utf8": 45001, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 1985, "bytes_utf8": 1985, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25614, "cached_input_tokens": 12032, "output_tokens": 3033, "reasoning_output_tokens": 2345}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n CAST(\\\"std_Valence\\\" AS REAL) AS \\\"std_Valence\\\",\\n CAST(\\\"std_atomic_mass\\\" AS REAL) AS \\\"std_atomic_mass\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY CAST(\\\"std_Valence\\\" AS REAL)\\n ORDER BY CAST(\\\"std_atomic_mass\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY CAST(\\\"std_Valence\\\" AS REAL)\\n ) AS \\\"cnt\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"std_Valence\\\" IS NOT NULL\\n AND \\\"std_atomic_mass\\\" IS NOT NULL\\n),\\n\\\"targets\\\" AS (\\n SELECT\\n \\\"std_Valence\\\",\\n MAX(\\\"cnt\\\") AS \\\"cnt\\\",\\n (1.0 + (MAX(\\\"cnt\\\") - 1) * 0.9) AS \\\"pos\\\",\\n CAST(1.0 + (MAX(\\\"cnt\\\") - 1) * 0.9 AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN (1.0 + (MAX(\\\"cnt\\\") - 1) * 0.9) = CAST(1.0 + (MAX(\\\"cnt\\\") - 1) * 0.9 AS INTEGER)\\n THEN CAST(1.0 + (MAX(\\\"cnt\\\") - 1) * 0.9 AS INTEGER)\\n ELSE CAST(1.0 + (MAX(\\\"cnt\\\") - 1) * 0.9 AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"ranked\\\""} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..921f408b8f3a0c87b2fdfe7c1298a1c704e01afd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_98e48f68206de725", + "api_calls": 0, + "input_tokens": 25614, + "cached_input_tokens": 12032, + "output_tokens": 3033, + "total_tokens": 28647, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 38850.5, + "sql_execution_elapsed_ms_total": 113.4, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_98e48f68206de725/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9abf3c11b3a86883/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9abf3c11b3a86883/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d541fef3ca44e3cb40278466c77c3dcb87ef0557 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9abf3c11b3a86883/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:08:41.834583+00:00", + "ended_at": "2026-05-19T16:08:50.220364+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_9abf3c11b3a86883", + "problem_id": "v2p_n5_f053ad3948e5592b", + "dataset_id": "n5", + "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=range_atomic_radius, condition_col=range_Valence.", + "bindings": { + "group_col": "range_atomic_radius", + "condition_col": "range_Valence", + "condition_value": "1", + "positive_value": "2", + "negative_value": "1", + "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": 744.704571, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/artifacts/v2q_n5_9abf3c11b3a86883/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9abf3c11b3a86883/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..536eea512447c82e08b41facfd33227817e9f684 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9abf3c11b3a86883/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:44.993939+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": 3147.48, "started_at": "2026-05-19T16:08:41.845617+00:00", "ended_at": "2026-05-19T16:08:44.993122+00:00", "prompt_metrics": {"chars": 45078, "bytes_utf8": 45078, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-1f6d-7950-8ecb-4101f76417a8\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:50.220276+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": 4224.05, "started_at": "2026-05-19T16:08:45.995356+00:00", "ended_at": "2026-05-19T16:08:50.219434+00:00", "prompt_metrics": {"chars": 45078, "bytes_utf8": 45078, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-2f9d-70a0-83d4-5bed1d5d8cc5\"}\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_c/n5/artifacts/v2q_n5_9e7e1a52d4dbbdfc/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9e7e1a52d4dbbdfc/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dd8c05c1a505ec096e698a2180692f090c243911 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9e7e1a52d4dbbdfc/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:13:23.362717+00:00", + "ended_at": "2026-05-19T16:13:30.390406+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_9e7e1a52d4dbbdfc", + "problem_id": "v2p_n5_5dbcad54dcb93f92", + "dataset_id": "n5", + "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=std_Valence, measure_col=mean_FusionHeat.", + "bindings": { + "group_col": "std_Valence", + "measure_col": "mean_FusionHeat", + "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": 8.1805, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/2", + "binding_index=132" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9e7e1a52d4dbbdfc/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9e7e1a52d4dbbdfc/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c359325eb90252a624f2d2378968a7593af8cd31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9e7e1a52d4dbbdfc/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:13:26.238605+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": 2863.93, "started_at": "2026-05-19T16:13:23.373778+00:00", "ended_at": "2026-05-19T16:13:26.237732+00:00", "prompt_metrics": {"chars": 44905, "bytes_utf8": 44905, "lines": 1080, "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\":\"019e4103-6b36-7390-b7b9-113e31b37a78\"}\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": "2026-05-19T16:13:30.390248+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": 3148.74, "started_at": "2026-05-19T16:13:27.239979+00:00", "ended_at": "2026-05-19T16:13:30.388769+00:00", "prompt_metrics": {"chars": 44905, "bytes_utf8": 44905, "lines": 1080, "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\":\"019e4103-7a45-71a2-910d-210bc25360e0\"}\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_c/n5/artifacts/v2q_n5_9f2646b5941666fe/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9f2646b5941666fe/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9cea7092f869cc494db3d898a47a7045bfc615a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9f2646b5941666fe/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=entropy_Valence. +Result preview: [{"entropy_Valence": "1.36892236074022", "row_count": 1902}, {"entropy_Valence": "1.59416669911802", "row_count": 1560}, {"entropy_Valence": "1.5649572502428", "row_count": 881}, {"entropy_Valence": "1.58902691517397", "row_count": 859}, {"entropy_Valence": "0.693147180559945", "row_count": 598}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9f2646b5941666fe/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9f2646b5941666fe/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..218678cb5c13b2ce010bcf35f737b7d09f624cf8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9f2646b5941666fe/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_9f2646b5941666fe +-- problem_id: v2p_n5_79ef5a40e528da3c +-- realization_mode: agent +-- source_kind: agent +SELECT "entropy_Valence", COUNT(*) AS "row_count" +FROM "n5" +GROUP BY "entropy_Valence" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9f2646b5941666fe/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9f2646b5941666fe/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0400f2ccfd3f1213e8cf4836651fdadc136022c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9f2646b5941666fe/query_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 \"entropy_Valence\", COUNT(*) AS \"row_count\"\nFROM \"n5\"\nGROUP BY \"entropy_Valence\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"entropy_Valence\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n5\\\"\\nGROUP BY \\\"entropy_Valence\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"entropy_Valence\", \"row_count\"], \"rows\": [{\"entropy_Valence\": \"1.36892236074022\", \"row_count\": 1902}, {\"entropy_Valence\": \"1.59416669911802\", \"row_count\": 1560}, {\"entropy_Valence\": \"1.5649572502428\", \"row_count\": 881}, {\"entropy_Valence\": \"1.58902691517397\", \"row_count\": 859}, {\"entropy_Valence\": \"0.693147180559945\", \"row_count\": 598}, {\"entropy_Valence\": \"0.673011667009257\", \"row_count\": 498}, {\"entropy_Valence\": \"0.686961576597323\", \"row_count\": 474}, {\"entropy_Valence\": \"1.74897075077131\", \"row_count\": 454}, {\"entropy_Valence\": \"1.77213938843753\", \"row_count\": 386}, {\"entropy_Valence\": \"1.0775563270668\", \"row_count\": 380}, {\"entropy_Valence\": \"0.636514168294813\", \"row_count\": 365}, {\"entropy_Valence\": \"0.689009238476659\", \"row_count\": 353}, {\"entropy_Valence\": \"1.5193826646423\", \"row_count\": 344}, {\"entropy_Valence\": \"1.05790542470367\", \"row_count\": 339}, {\"entropy_Valence\": \"1.71707598019888\", \"row_count\": 325}, {\"entropy_Valence\": \"0.661563238157982\", \"row_count\": 302}, {\"entropy_Valence\": \"0\", \"row_count\": 285}, {\"entropy_Valence\": \"1.77823330579971\", \"row_count\": 262}, {\"entropy_Valence\": \"1.70747543516624\", \"row_count\": 250}, {\"entropy_Valence\": \"1.05492016798614\", \"row_count\": 249}, {\"entropy_Valence\": \"0.682908104700472\", \"row_count\": 244}, {\"entropy_Valence\": \"1.06085694715802\", \"row_count\": 229}, {\"entropy_Valence\": \"1.53177807879137\", \"row_count\": 219}, {\"entropy_Valence\": \"1.08518861296765\", \"row_count\": 211}, {\"entropy_Valence\": \"1.38629436111989\", \"row_count\": 210}, {\"entropy_Valence\": \"1.07899220787758\", \"row_count\": 189}, {\"entropy_Valence\": \"1.49440321137961\", \"row_count\": 180}, {\"entropy_Valence\": \"1.03972077083992\", \"row_count\": 169}, {\"entropy_Valence\": \"1.55711309805765\", \"row_count\": 168}, {\"entropy_Valence\": \"1.08219553003877\", \"row_count\": 168}, {\"entropy_Valence\": \"1.49436508345339\", \"row_count\": 164}, {\"entropy_Valence\": \"1.3421131789144\", \"row_count\": 163}, {\"entropy_Valence\": \"1.09861228866811\", \"row_count\": 159}, {\"entropy_Valence\": \"1.33373602720281\", \"row_count\": 157}, {\"entropy_Valence\": \"1.58678470752805\", \"row_count\": 154}, {\"entropy_Valence\": \"1.2406842919534\", \"row_count\": 147}, {\"entropy_Valence\": \"1.6094379124341\", \"row_count\": 139}, {\"entropy_Valence\": \"1.09283055352849\", \"row_count\": 136}, {\"entropy_Valence\": \"1.87406320769729\", \"row_count\": 135}, {\"entropy_Valence\": \"1.09005965871078\", \"row_count\": 131}, {\"entropy_Valence\": \"1.09337471755665\", \"row_count\": 129}, {\"entropy_Valence\": \"1.35458107521317\", \"row_count\": 127}, {\"entropy_Valence\": \"1.72108914922872\", \"row_count\": 117}, {\"entropy_Valence\": \"1.32966134885476\", \"row_count\": 117}, {\"entropy_Valence\": \"1.06094424079075\", \"row_count\": 117}, {\"entropy_Valence\": \"1.22060726455302\", \"row_count\": 116}, {\"entropy_Valence\": \"1.35797785498732\", \"row_count\": 113}, {\"entropy_Valence\": \"1.90542004311014\", \"row_count\": 109}, {\"entropy_Valence\": \"1.69441507341845\", \"row_count\": 109}, {\"entropy_Valence\": \"1.57409733684897\", \"row_count\": 107}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 23.78}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9f2646b5941666fe/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9f2646b5941666fe/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fcb361cbe16b43a8f3c3b5893a88a761e737cc84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9f2646b5941666fe/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:35:45.815738+00:00", + "ended_at": "2026-05-19T15:35:55.995765+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_9f2646b5941666fe", + "problem_id": "v2p_n5_79ef5a40e528da3c", + "dataset_id": "n5", + "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=entropy_Valence.", + "bindings": { + "group_col": "entropy_Valence", + "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": 744.704571, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_9f2646b5941666fe.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_9f2646b5941666fe", + "api_calls": 0, + "input_tokens": 25547, + "cached_input_tokens": 12032, + "output_tokens": 320, + "total_tokens": 25867, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10142.95, + "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_c/n5/artifacts/v2q_n5_9f2646b5941666fe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9f2646b5941666fe/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9f2646b5941666fe/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cc3e3ca3ed588fb64911d43b083e81c631eac11d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9f2646b5941666fe/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:55.970024+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 10142.95, "started_at": "2026-05-19T15:35:45.825858+00:00", "ended_at": "2026-05-19T15:35:55.968839+00:00", "prompt_metrics": {"chars": 44727, "bytes_utf8": 44727, "lines": 1078, "estimated_tokens": null}, "response_metrics": {"chars": 334, "bytes_utf8": 334, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25547, "cached_input_tokens": 12032, "output_tokens": 320, "reasoning_output_tokens": 231}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"entropy_Valence\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n5\\\"\\nGROUP BY \\\"entropy_Valence\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applies the Grouped Count by Category template using \\\"entropy_Valence\\\" as the subgroup column to inspect count distribution across subgroups.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9f2646b5941666fe/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9f2646b5941666fe/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ea52a4cd01d1b9912ca5097a6a2c6de273eadfe8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_9f2646b5941666fe/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_9f2646b5941666fe", + "api_calls": 0, + "input_tokens": 25547, + "cached_input_tokens": 12032, + "output_tokens": 320, + "total_tokens": 25867, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10142.95, + "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_c/n5/artifacts/v2q_n5_9f2646b5941666fe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a39c68069aef970a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a39c68069aef970a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..0a35fc87e0ea5d7781dc59f5c0dcc8ad213da938 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a39c68069aef970a/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:14:15.290533+00:00", + "ended_at": "2026-05-19T16:14:22.554850+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_a39c68069aef970a", + "problem_id": "v2p_n5_0edd1d37a33dca38", + "dataset_id": "n5", + "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=mean_Valence, measure_col=wtd_gmean_FusionHeat.", + "bindings": { + "group_col": "mean_Valence", + "measure_col": "wtd_gmean_FusionHeat", + "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": 1.212525, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/artifacts/v2q_n5_a39c68069aef970a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a39c68069aef970a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..743c7fa6732f1f64c7820cefa17531a5b83e9ea7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a39c68069aef970a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:14:18.512180+00:00", "event_type": "ai_cli_sql_generation_error", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 1, "elapsed_ms": 3205.35, "started_at": "2026-05-19T16:14:15.305918+00:00", "ended_at": "2026-05-19T16:14:18.511300+00:00", "prompt_metrics": {"chars": 44919, "bytes_utf8": 44919, "lines": 1080, "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\":\"019e4104-35f1-7233-b04c-156812aa1ac7\"}\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": "2026-05-19T16:14:22.554754+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": 3039.77, "started_at": "2026-05-19T16:14:19.514033+00:00", "ended_at": "2026-05-19T16:14:22.553839+00:00", "prompt_metrics": {"chars": 44919, "bytes_utf8": 44919, "lines": 1080, "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\":\"019e4104-466b-7fe1-bb5a-7cc554df1bff\"}\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_c/n5/artifacts/v2q_n5_a74110e49340d531/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..587f984b13784f9a1e64d8c79ecd0fa6f2c3bef5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/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=wtd_std_FusionHeat. +Result preview: [{"wtd_std_FusionHeat": 51.6804823183885}, {"wtd_std_FusionHeat": 51.6642207192039}, {"wtd_std_FusionHeat": 51.635}, {"wtd_std_FusionHeat": 51.6214061619662}, {"wtd_std_FusionHeat": 51.5139222462269}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..edc018d06c077394bffe74d3b3f338db9729f89c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/generated_sql.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_a74110e49340d531 +-- problem_id: v2p_n5_2c0cfaa80526dfab +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT CAST("wtd_std_FusionHeat" AS REAL) AS "wtd_std_FusionHeat", + NTILE(10) OVER (ORDER BY CAST("wtd_std_FusionHeat" AS REAL) DESC) AS "tail_bucket" + FROM "n5" + WHERE "wtd_std_FusionHeat" IS NOT NULL +) +SELECT "wtd_std_FusionHeat" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "wtd_std_FusionHeat" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4d2e8e38b9aef8e54c053f304b7e226a069358a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/query_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(\"wtd_std_FusionHeat\" AS REAL) AS \"wtd_std_FusionHeat\",\n NTILE(10) OVER (ORDER BY CAST(\"wtd_std_FusionHeat\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"n5\"\n WHERE \"wtd_std_FusionHeat\" IS NOT NULL\n)\nSELECT \"wtd_std_FusionHeat\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"wtd_std_FusionHeat\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice.\\nWITH \\\"buckets\\\" AS (\\n SELECT CAST(\\\"wtd_std_FusionHeat\\\" AS REAL) AS \\\"wtd_std_FusionHeat\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"wtd_std_FusionHeat\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"wtd_std_FusionHeat\\\" IS NOT NULL\\n)\\nSELECT \\\"wtd_std_FusionHeat\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"wtd_std_FusionHeat\\\" DESC;\", \"columns\": [\"wtd_std_FusionHeat\"], \"rows\": [{\"wtd_std_FusionHeat\": 51.6804823183885}, {\"wtd_std_FusionHeat\": 51.6642207192039}, {\"wtd_std_FusionHeat\": 51.635}, {\"wtd_std_FusionHeat\": 51.6214061619662}, {\"wtd_std_FusionHeat\": 51.5139222462269}, {\"wtd_std_FusionHeat\": 51.5139222462269}, {\"wtd_std_FusionHeat\": 51.335}, {\"wtd_std_FusionHeat\": 49.9395847054774}, {\"wtd_std_FusionHeat\": 49.406800899754}, {\"wtd_std_FusionHeat\": 49.406800899754}, {\"wtd_std_FusionHeat\": 48.9283975901239}, {\"wtd_std_FusionHeat\": 48.7995901622135}, {\"wtd_std_FusionHeat\": 48.4415371579208}, {\"wtd_std_FusionHeat\": 48.4085316171988}, {\"wtd_std_FusionHeat\": 48.4085316171988}, {\"wtd_std_FusionHeat\": 48.4085316171988}, {\"wtd_std_FusionHeat\": 48.3529275225399}, {\"wtd_std_FusionHeat\": 48.3529275225399}, {\"wtd_std_FusionHeat\": 48.3529275225399}, {\"wtd_std_FusionHeat\": 48.3529275225399}, {\"wtd_std_FusionHeat\": 48.3529275225399}, {\"wtd_std_FusionHeat\": 48.2718229290017}, {\"wtd_std_FusionHeat\": 48.0868124953753}, {\"wtd_std_FusionHeat\": 48.0832611206852}, {\"wtd_std_FusionHeat\": 47.01945367013}, {\"wtd_std_FusionHeat\": 46.9725675261636}, {\"wtd_std_FusionHeat\": 46.9255785626294}, {\"wtd_std_FusionHeat\": 46.8784864703416}, {\"wtd_std_FusionHeat\": 46.8312909381911}, {\"wtd_std_FusionHeat\": 46.7839916531285}, {\"wtd_std_FusionHeat\": 46.7839916531285}, {\"wtd_std_FusionHeat\": 46.7839916531285}, {\"wtd_std_FusionHeat\": 46.7839916531285}, {\"wtd_std_FusionHeat\": 46.7839916531285}, {\"wtd_std_FusionHeat\": 46.7164143897785}, {\"wtd_std_FusionHeat\": 46.6486521107524}, {\"wtd_std_FusionHeat\": 46.6459239615019}, {\"wtd_std_FusionHeat\": 46.5807040086075}, {\"wtd_std_FusionHeat\": 46.5276262020748}, {\"wtd_std_FusionHeat\": 46.5276262020748}, {\"wtd_std_FusionHeat\": 46.5276262020748}, {\"wtd_std_FusionHeat\": 46.5125692689621}, {\"wtd_std_FusionHeat\": 46.5035497119097}, {\"wtd_std_FusionHeat\": 46.5035497119097}, {\"wtd_std_FusionHeat\": 46.4442470704123}, {\"wtd_std_FusionHeat\": 46.422810010502}, {\"wtd_std_FusionHeat\": 46.3461631971859}, {\"wtd_std_FusionHeat\": 46.3461631971859}, {\"wtd_std_FusionHeat\": 46.2780307921295}, {\"wtd_std_FusionHeat\": 46.209381298967}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 49.42}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1027f88bf237fb77ee7fc6d6cad79b5ef9558261 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:50:34.662343+00:00", + "ended_at": "2026-05-19T15:50:54.898778+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_a74110e49340d531", + "problem_id": "v2p_n5_2c0cfaa80526dfab", + "dataset_id": "n5", + "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=wtd_std_FusionHeat.", + "bindings": { + "measure_col": "wtd_std_FusionHeat", + "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": 5.417463, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_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_c/n5/sql/v2q_n5_a74110e49340d531.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_a74110e49340d531", + "api_calls": 0, + "input_tokens": 25630, + "cached_input_tokens": 12032, + "output_tokens": 555, + "total_tokens": 26185, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20170.01, + "sql_execution_elapsed_ms_total": 49.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ee247d340f0ceef1c23196d6b4dfe0361fdeac84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:54.847082+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 20170.01, "started_at": "2026-05-19T15:50:34.676187+00:00", "ended_at": "2026-05-19T15:50:54.846225+00:00", "prompt_metrics": {"chars": 44992, "bytes_utf8": 44992, "lines": 1078, "estimated_tokens": null}, "response_metrics": {"chars": 666, "bytes_utf8": 666, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25630, "cached_input_tokens": 12032, "output_tokens": 555, "reasoning_output_tokens": 358}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice.\\nWITH \\\"buckets\\\" AS (\\n SELECT CAST(\\\"wtd_std_FusionHeat\\\" AS REAL) AS \\\"wtd_std_FusionHeat\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"wtd_std_FusionHeat\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"wtd_std_FusionHeat\\\" IS NOT NULL\\n)\\nSELECT \\\"wtd_std_FusionHeat\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"wtd_std_FusionHeat\\\" DESC;\",\"notes\":\"Used the planned Quantile Tail Slice template with measure_col bound to \\\"wtd_std_FusionHeat\\\" and num_tiles=10. Cast to REAL because the SQLite schema stores this numeric field as TEXT, and excluded NULLs before bucketing.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f0a0813ba9bf50d651bf3e885a290fc19ddd331e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_a74110e49340d531", + "api_calls": 0, + "input_tokens": 25630, + "cached_input_tokens": 12032, + "output_tokens": 555, + "total_tokens": 26185, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20170.01, + "sql_execution_elapsed_ms_total": 49.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a74110e49340d531/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b744f36485a5adc6e205218f300de224f8e9bc78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/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=mean_Valence, measure_col=wtd_std_atomic_radius. +Result preview: [{"mean_Valence": 1.0, "wtd_mean_Density": 6993.89866666667, "total_measure": 57.9827560572969, "share_within_group": 100.0}, {"mean_Valence": 1.25, "wtd_mean_Density": 4080.27299444444, "total_measure": 114.784607734833, "share_within_group": 100.0}, {"mean_Valence": 1.33333333333333, "wtd_mean_Density": 4590.1955, "total_measure": 58.3890173213251, "share_within_group": 100.0}, {"mean_Valence": 1.66666666666667, "wtd_mean_Density": 613.17175, "total_measure": 174.1400298610288, "share_within_group": 66.88834208509337}, {"mean_Valence": 6.33333333333333, "wtd_mean_Density": 5951.42857142857, "total_measure": 145.1510121443547, "share_within_group": 46.169567129568485}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..107e57e250bc1a7c6e2da35ab95668f8cb47b426 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_a9338e180b126124 +-- problem_id: v2p_n5_cb03620d6f9fa72d +-- realization_mode: agent +-- source_kind: agent +SELECT + CAST("mean_Valence" AS REAL) AS "mean_Valence", + CAST("wtd_mean_Density" AS REAL) AS "wtd_mean_Density", + SUM(CAST("wtd_std_atomic_radius" AS REAL)) AS "total_measure", + SUM(CAST("wtd_std_atomic_radius" AS REAL)) * 100.0 / SUM(SUM(CAST("wtd_std_atomic_radius" AS REAL))) OVER ( + PARTITION BY CAST("mean_Valence" AS REAL) + ) AS "share_within_group" +FROM "n5" +WHERE "mean_Valence" IS NOT NULL + AND "wtd_mean_Density" IS NOT NULL + AND "wtd_std_atomic_radius" IS NOT NULL +GROUP BY CAST("mean_Valence" AS REAL), CAST("wtd_mean_Density" AS REAL) +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..69d428aeed8b5b0fd24c4d0e3185ef30658ef270 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/query_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 CAST(\"mean_Valence\" AS REAL) AS \"mean_Valence\",\n CAST(\"wtd_mean_Density\" AS REAL) AS \"wtd_mean_Density\",\n SUM(CAST(\"wtd_std_atomic_radius\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"wtd_std_atomic_radius\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"wtd_std_atomic_radius\" AS REAL))) OVER (\n PARTITION BY CAST(\"mean_Valence\" AS REAL)\n ) AS \"share_within_group\"\nFROM \"n5\"\nWHERE \"mean_Valence\" IS NOT NULL\n AND \"wtd_mean_Density\" IS NOT NULL\n AND \"wtd_std_atomic_radius\" IS NOT NULL\nGROUP BY CAST(\"mean_Valence\" AS REAL), CAST(\"wtd_mean_Density\" AS REAL)\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n CAST(\\\"mean_Valence\\\" AS REAL) AS \\\"mean_Valence\\\",\\n CAST(\\\"wtd_mean_Density\\\" AS REAL) AS \\\"wtd_mean_Density\\\",\\n SUM(CAST(\\\"wtd_std_atomic_radius\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"wtd_std_atomic_radius\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"wtd_std_atomic_radius\\\" AS REAL))) OVER (\\n PARTITION BY CAST(\\\"mean_Valence\\\" AS REAL)\\n ) AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"mean_Valence\\\" IS NOT NULL\\n AND \\\"wtd_mean_Density\\\" IS NOT NULL\\n AND \\\"wtd_std_atomic_radius\\\" IS NOT NULL\\nGROUP BY CAST(\\\"mean_Valence\\\" AS REAL), CAST(\\\"wtd_mean_Density\\\" AS REAL)\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"mean_Valence\", \"wtd_mean_Density\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"mean_Valence\": 1.0, \"wtd_mean_Density\": 6993.89866666667, \"total_measure\": 57.9827560572969, \"share_within_group\": 100.0}, {\"mean_Valence\": 1.25, \"wtd_mean_Density\": 4080.27299444444, \"total_measure\": 114.784607734833, \"share_within_group\": 100.0}, {\"mean_Valence\": 1.33333333333333, \"wtd_mean_Density\": 4590.1955, \"total_measure\": 58.3890173213251, \"share_within_group\": 100.0}, {\"mean_Valence\": 1.66666666666667, \"wtd_mean_Density\": 613.17175, \"total_measure\": 174.1400298610288, \"share_within_group\": 66.88834208509337}, {\"mean_Valence\": 6.33333333333333, \"wtd_mean_Density\": 5951.42857142857, \"total_measure\": 145.1510121443547, \"share_within_group\": 46.169567129568485}, {\"mean_Valence\": 5.75, \"wtd_mean_Density\": 12180.0, \"total_measure\": 8.47768209771987, \"share_within_group\": 36.722813828851784}, {\"mean_Valence\": 4.4, \"wtd_mean_Density\": 9438.52459016394, \"total_measure\": 64.198215793318, \"share_within_group\": 35.635278435700414}, {\"mean_Valence\": 4.4, \"wtd_mean_Density\": 8807.61194029851, \"total_measure\": 63.6930815972223, \"share_within_group\": 35.354887501110966}, {\"mean_Valence\": 1.75, \"wtd_mean_Density\": 2032.32142857143, \"total_measure\": 232.14650546583718, \"share_within_group\": 34.804389141510605}, {\"mean_Valence\": 1.66666666666667, \"wtd_mean_Density\": 480.47175, \"total_measure\": 86.204335737827, \"share_within_group\": 33.11165791490663}, {\"mean_Valence\": 5.75, \"wtd_mean_Density\": 12570.0, \"total_measure\": 7.59008399163013, \"share_within_group\": 32.878001104210746}, {\"mean_Valence\": 5.75, \"wtd_mean_Density\": 13903.3333333333, \"total_measure\": 7.0178344238091, \"share_within_group\": 30.399185066937466}, {\"mean_Valence\": 1.5, \"wtd_mean_Density\": 484.7145, \"total_measure\": 71.0, \"share_within_group\": 29.54625755859634}, {\"mean_Valence\": 4.4, \"wtd_mean_Density\": 5819.17105263158, \"total_measure\": 52.2622431778489, \"share_within_group\": 29.009834063188624}, {\"mean_Valence\": 3.57142857142857, \"wtd_mean_Density\": 2900.50517241379, \"total_measure\": 74.6481180247699, \"share_within_group\": 20.027609082792623}, {\"mean_Valence\": 3.57142857142857, \"wtd_mean_Density\": 2917.29941176471, \"total_measure\": 74.6055036607259, \"share_within_group\": 20.01617592349848}, {\"mean_Valence\": 3.57142857142857, \"wtd_mean_Density\": 2814.69709302326, \"total_measure\": 74.5701101316108, \"share_within_group\": 20.006680067689462}, {\"mean_Valence\": 3.57142857142857, \"wtd_mean_Density\": 2726.87, \"total_measure\": 74.4779672954139, \"share_within_group\": 19.981958738445517}, {\"mean_Valence\": 3.57142857142857, \"wtd_mean_Density\": 2948.03470588235, \"total_measure\": 74.4243597803819, \"share_within_group\": 19.967576187573915}, {\"mean_Valence\": 2.875, \"wtd_mean_Density\": 2944.27315789474, \"total_measure\": 133.7446796518652, \"share_within_group\": 18.641179503846637}, {\"mean_Valence\": 1.75, \"wtd_mean_Density\": 4024.43887671233, \"total_measure\": 113.4475656834672, \"share_within_group\": 17.00854042700865}, {\"mean_Valence\": 1.5, \"wtd_mean_Density\": 9308.0, \"total_measure\": 33.9411254969543, \"share_within_group\": 14.124411771290887}, {\"mean_Valence\": 1.83333333333333, \"wtd_mean_Density\": 5493.0182826087, \"total_measure\": 123.2892000261994, \"share_within_group\": 13.486109201141376}, {\"mean_Valence\": 5.33333333333333, \"wtd_mean_Density\": 5913.33333333333, \"total_measure\": 594.8687250141828, \"share_within_group\": 13.332204064665026}, {\"mean_Valence\": 1.83333333333333, \"wtd_mean_Density\": 5553.36248351648, \"total_measure\": 121.0311531441272, \"share_within_group\": 13.239110544110174}, {\"mean_Valence\": 6.33333333333333, \"wtd_mean_Density\": 7185.35714285714, \"total_measure\": 41.0624213725834, \"share_within_group\": 13.06111608907476}, {\"mean_Valence\": 1.5, \"wtd_mean_Density\": 10364.5, \"total_measure\": 31.1769145362398, \"share_within_group\": 12.974100658733626}, {\"mean_Valence\": 5.5, \"wtd_mean_Density\": 6069.33333333333, \"total_measure\": 940.452018978108, \"share_within_group\": 12.877920054854473}, {\"mean_Valence\": 3.83333333333333, \"wtd_mean_Density\": 4541.3125, \"total_measure\": 102.059590436176, \"share_within_group\": 12.074642741462295}, {\"mean_Valence\": 1.5, \"wtd_mean_Density\": 10998.4, \"total_measure\": 28.8, \"share_within_group\": 11.98496081250105}, {\"mean_Valence\": 1.75, \"wtd_mean_Density\": 1940.90172987722, \"total_measure\": 76.8857322928922, \"share_within_group\": 11.527035226233997}, {\"mean_Valence\": 3.4, \"wtd_mean_Density\": 3969.5125, \"total_measure\": 886.4876536083286, \"share_within_group\": 11.404437349227122}, {\"mean_Valence\": 6.33333333333333, \"wtd_mean_Density\": 7692.85714285714, \"total_measure\": 34.7645139268684, \"share_within_group\": 11.057880587681415}, {\"mean_Valence\": 2.55555555555556, \"wtd_mean_Density\": 4197.98763929266, \"total_measure\": 61.7876729528951, \"share_within_group\": 10.815401197697819}, {\"mean_Valence\": 2.55555555555556, \"wtd_mean_Density\": 4448.38721843318, \"total_measure\": 61.2356819602932, \"share_within_group\": 10.718779917801804}, {\"mean_Valence\": 2.55555555555556, \"wtd_mean_Density\": 4709.64778629315, \"total_measure\": 60.0822975926636, \"share_within_group\": 10.516889895489795}, {\"mean_Valence\": 6.33333333333333, \"wtd_mean_Density\": 9505.71428571428, \"total_measure\": 32.8322887364477, \"share_within_group\": 10.443279288519607}, {\"mean_Valence\": 2.55555555555556, \"wtd_mean_Density\": 4806.95905169928, \"total_measure\": 59.495668268604, \"share_within_group\": 10.414205473325593}, {\"mean_Valence\": 6.0, \"wtd_mean_Density\": 7159.42857142857, \"total_measure\": 430.538343595692, \"share_within_group\": 10.229414687494058}, {\"mean_Valence\": 1.75, \"wtd_mean_Density\": 2210.18253968254, \"total_measure\": 68.161556117993, \"share_within_group\": 10.219069715743162}, {\"mean_Valence\": 2.55555555555556, \"wtd_mean_Density\": 5019.78751947484, \"total_measure\": 57.8982553969705, \"share_within_group\": 10.134592077005356}, {\"mean_Valence\": 4.2, \"wtd_mean_Density\": 8484.02985074627, \"total_measure\": 55.1788117828805, \"share_within_group\": 9.877957211433502}, {\"mean_Valence\": 1.8, \"wtd_mean_Density\": 3280.15688888889, \"total_measure\": 426.09336483399454, \"share_within_group\": 9.853099776711678}, {\"mean_Valence\": 2.375, \"wtd_mean_Density\": 3357.20584768212, \"total_measure\": 75.3585230901221, \"share_within_group\": 9.789857330798515}, {\"mean_Valence\": 2.75, \"wtd_mean_Density\": 3276.79514285714, \"total_measure\": 2243.6226216927457, \"share_within_group\": 9.75366021971451}, {\"mean_Valence\": 2.55555555555556, \"wtd_mean_Density\": 5260.92689194866, \"total_measure\": 55.5263130792156, \"share_within_group\": 9.71940395681391}, {\"mean_Valence\": 4.2, \"wtd_mean_Density\": 9499.18032786885, \"total_measure\": 54.0559197655894, \"share_within_group\": 9.676940209771587}, {\"mean_Valence\": 2.55555555555556, \"wtd_mean_Density\": 4974.23910631664, \"total_measure\": 54.9187205686781, \"share_within_group\": 9.613050108997221}, {\"mean_Valence\": 2.375, \"wtd_mean_Density\": 3081.05612863505, \"total_measure\": 73.7658495175109, \"share_within_group\": 9.582952439207817}, {\"mean_Valence\": 2.375, \"wtd_mean_Density\": 3078.8191113294, \"total_measure\": 73.762333744927, \"share_within_group\": 9.582495703717358}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 84.57}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..69a79f1bd52562656321eeef6b1941ada490c55b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:41:19.202535+00:00", + "ended_at": "2026-05-19T15:41:41.476190+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_a9338e180b126124", + "problem_id": "v2p_n5_cb03620d6f9fa72d", + "dataset_id": "n5", + "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=mean_Valence, measure_col=wtd_std_atomic_radius.", + "bindings": { + "group_col": "mean_Valence", + "measure_col": "wtd_std_atomic_radius", + "item_col": "wtd_mean_Density", + "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": 79.696635, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_a9338e180b126124.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_a9338e180b126124", + "api_calls": 0, + "input_tokens": 25701, + "cached_input_tokens": 24960, + "output_tokens": 1243, + "total_tokens": 26944, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22173.41, + "sql_execution_elapsed_ms_total": 84.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ad974d4b089af5680fa69495a0cf4b66afbb22dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:41.389287+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 22173.41, "started_at": "2026-05-19T15:41:19.214940+00:00", "ended_at": "2026-05-19T15:41:41.388381+00:00", "prompt_metrics": {"chars": 45254, "bytes_utf8": 45254, "lines": 1082, "estimated_tokens": null}, "response_metrics": {"chars": 957, "bytes_utf8": 957, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25701, "cached_input_tokens": 24960, "output_tokens": 1243, "reasoning_output_tokens": 955}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n CAST(\\\"mean_Valence\\\" AS REAL) AS \\\"mean_Valence\\\",\\n CAST(\\\"wtd_mean_Density\\\" AS REAL) AS \\\"wtd_mean_Density\\\",\\n SUM(CAST(\\\"wtd_std_atomic_radius\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"wtd_std_atomic_radius\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"wtd_std_atomic_radius\\\" AS REAL))) OVER (\\n PARTITION BY CAST(\\\"mean_Valence\\\" AS REAL)\\n ) AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"mean_Valence\\\" IS NOT NULL\\n AND \\\"wtd_mean_Density\\\" IS NOT NULL\\n AND \\\"wtd_std_atomic_radius\\\" IS NOT NULL\\nGROUP BY CAST(\\\"mean_Valence\\\" AS REAL), CAST(\\\"wtd_mean_Density\\\" AS REAL)\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the Within-Group Share of Total template using \\\"mean_Valence\\\" as group_col, \\\"wtd_mean_Density\\\" as item_col, and \\\"wtd_std_atomic_radius\\\" as measure_col. Casts to REAL are used because the SQLite schema stores these numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2779d55419dab5990f9923417897826e1c44c990 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_a9338e180b126124", + "api_calls": 0, + "input_tokens": 25701, + "cached_input_tokens": 24960, + "output_tokens": 1243, + "total_tokens": 26944, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22173.41, + "sql_execution_elapsed_ms_total": 84.57, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_a9338e180b126124/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_abaff77ac49ad84c/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_abaff77ac49ad84c/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ce6fffe1ef30e02088366edcca58dc285127b2b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_abaff77ac49ad84c/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:13:30.391101+00:00", + "ended_at": "2026-05-19T16:13:37.746950+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_abaff77ac49ad84c", + "problem_id": "v2p_n5_ae5fde41a57a64b7", + "dataset_id": "n5", + "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=std_Valence, measure_col=mean_FusionHeat.", + "bindings": { + "group_col": "std_Valence", + "measure_col": "mean_FusionHeat", + "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": 7.821904, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/artifacts/v2q_n5_abaff77ac49ad84c/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_abaff77ac49ad84c/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..07e54e5d8d64d6981459889c549a2607bde2b237 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_abaff77ac49ad84c/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:13:33.524441+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": 3115.07, "started_at": "2026-05-19T16:13:30.408468+00:00", "ended_at": "2026-05-19T16:13:33.523576+00:00", "prompt_metrics": {"chars": 44906, "bytes_utf8": 44906, "lines": 1080, "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\":\"019e4103-86ac-7511-a78c-cc9584420b00\"}\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": "2026-05-19T16:13:37.746862+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": 3218.63, "started_at": "2026-05-19T16:13:34.527241+00:00", "ended_at": "2026-05-19T16:13:37.745914+00:00", "prompt_metrics": {"chars": 44906, "bytes_utf8": 44906, "lines": 1080, "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\":\"019e4103-96c8-7ef0-95ab-c3334799bc92\"}\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_c/n5/artifacts/v2q_n5_ace6245be2fbff07/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..0ab2b25d0fb8d294437c28f8049a92327caa0548 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/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=range_atomic_radius, condition_col=wtd_entropy_Valence. +Result preview: [{"range_atomic_radius": "147", "condition_ratio": 0.0}, {"range_atomic_radius": "158", "condition_ratio": 0.0}, {"range_atomic_radius": "183", "condition_ratio": 0.0}, {"range_atomic_radius": "190", "condition_ratio": 0.0}, {"range_atomic_radius": "0", "condition_ratio": null}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f910de7bccc246e55e8236c625e3761b3db94432 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_ace6245be2fbff07 +-- problem_id: v2p_n5_8e2509eeed80577c +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "range_atomic_radius", + SUM(CASE WHEN CAST("wtd_entropy_Valence" AS REAL) = 1.24943039324213 THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN CAST("wtd_entropy_Valence" AS REAL) = 1.09604328066818 THEN 1 ELSE 0 END) AS denominator_count + FROM "n5" + GROUP BY "range_atomic_radius" +) +SELECT "range_atomic_radius", + 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_c/n5/artifacts/v2q_n5_ace6245be2fbff07/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ab698c966d786c59deadc3ab8bca0b7c7a871e21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/query_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 \"range_atomic_radius\",\n SUM(CASE WHEN CAST(\"wtd_entropy_Valence\" AS REAL) = 1.24943039324213 THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN CAST(\"wtd_entropy_Valence\" AS REAL) = 1.09604328066818 THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n5\"\n GROUP BY \"range_atomic_radius\"\n)\nSELECT \"range_atomic_radius\",\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 \\\"range_atomic_radius\\\",\\n SUM(CASE WHEN CAST(\\\"wtd_entropy_Valence\\\" AS REAL) = 1.24943039324213 THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN CAST(\\\"wtd_entropy_Valence\\\" AS REAL) = 1.09604328066818 THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n5\\\"\\n GROUP BY \\\"range_atomic_radius\\\"\\n)\\nSELECT \\\"range_atomic_radius\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"range_atomic_radius\", \"condition_ratio\"], \"rows\": [{\"range_atomic_radius\": \"147\", \"condition_ratio\": 0.0}, {\"range_atomic_radius\": \"158\", \"condition_ratio\": 0.0}, {\"range_atomic_radius\": \"183\", \"condition_ratio\": 0.0}, {\"range_atomic_radius\": \"190\", \"condition_ratio\": 0.0}, {\"range_atomic_radius\": \"0\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"1\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"10\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"100\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"101\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"102\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"103\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"104\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"105\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"106\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"107\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"108\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"109\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"11\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"110\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"111\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"112\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"113\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"114\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"115\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"116\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"117\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"118\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"119\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"12\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"120\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"121\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"122\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"123\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"124\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"125\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"126\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"127\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"128\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"129\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"13\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"130\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"131\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"132\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"133\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"134\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"135\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"137\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"138\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"139\", \"condition_ratio\": null}, {\"range_atomic_radius\": \"14\", \"condition_ratio\": null}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 33.31}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..34d7434d0b6065c5ff73b18fd3bcec12f7e5f889 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:45:05.343736+00:00", + "ended_at": "2026-05-19T15:45:28.367590+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_ace6245be2fbff07", + "problem_id": "v2p_n5_8e2509eeed80577c", + "dataset_id": "n5", + "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=range_atomic_radius, condition_col=wtd_entropy_Valence.", + "bindings": { + "group_col": "range_atomic_radius", + "condition_col": "wtd_entropy_Valence", + "condition_value": "1.24943039324213", + "positive_value": "1.24943039324213", + "negative_value": "1.09604328066818", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.879378, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_ace6245be2fbff07.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_ace6245be2fbff07", + "api_calls": 0, + "input_tokens": 25806, + "cached_input_tokens": 24960, + "output_tokens": 945, + "total_tokens": 26751, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22976.07, + "sql_execution_elapsed_ms_total": 33.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..613d3fdb29e7b0f27a8d758fe7140f79a0aa3197 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:28.332593+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 22976.07, "started_at": "2026-05-19T15:45:05.354612+00:00", "ended_at": "2026-05-19T15:45:28.330722+00:00", "prompt_metrics": {"chars": 45696, "bytes_utf8": 45696, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 808, "bytes_utf8": 808, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25806, "cached_input_tokens": 24960, "output_tokens": 945, "reasoning_output_tokens": 729}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"range_atomic_radius\\\",\\n SUM(CASE WHEN CAST(\\\"wtd_entropy_Valence\\\" AS REAL) = 1.24943039324213 THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN CAST(\\\"wtd_entropy_Valence\\\" AS REAL) = 1.09604328066818 THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n5\\\"\\n GROUP BY \\\"range_atomic_radius\\\"\\n)\\nSELECT \\\"range_atomic_radius\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the planned grouped-ratio template with \\\"range_atomic_radius\\\" as the grouping column and numeric comparisons on TEXT-backed \\\"wtd_entropy_Valence\\\" via CAST(... AS REAL). NULLIF prevents division by zero.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a30b527ddb05e4604d602999d58f11153b011fd4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_ace6245be2fbff07", + "api_calls": 0, + "input_tokens": 25806, + "cached_input_tokens": 24960, + "output_tokens": 945, + "total_tokens": 26751, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22976.07, + "sql_execution_elapsed_ms_total": 33.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ace6245be2fbff07/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_acecff633551fb14/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_acecff633551fb14/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a219e65816e7bd4a39a8d0deed138b751a5e4833 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_acecff633551fb14/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "2.25", "support": 1914, "support_share": 0.0900155199172271, "support_rank": 1}, {"value_label": "3", "support": 1848, "support_share": 0.08691153647180548, "support_rank": 2}, {"value_label": "2.2", "support": 1592, "support_share": 0.07487184310774585, "support_rank": 3}, {"value_label": "4", "support": 1387, "support_share": 0.06523068240605748, "support_rank": 4}, {"value_label": "2.6", "support": 1250, "support_share": 0.058787565254197434, "support_rank": 5}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_acecff633551fb14/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_acecff633551fb14/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b182f79b5a376904b882d3b8f9592c26f6603127 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_acecff633551fb14/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_acecff633551fb14 +-- problem_id: v2p_n5_6472787d5bf71e5c +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "mean_Valence" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "mean_Valence" +) +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_c/n5/artifacts/v2q_n5_acecff633551fb14/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_acecff633551fb14/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7176fb0786947802b0b60136a0db54725a6a10cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_acecff633551fb14/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_c\n-- sql_source_dataset_id: n5\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_n5_acecff633551fb14\n-- problem_id: v2p_n5_6472787d5bf71e5c\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"mean_Valence\" AS value_label, COUNT(*) AS support\n FROM \"n5\"\n GROUP BY \"mean_Valence\"\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_c\\n-- sql_source_dataset_id: n5\\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_n5_acecff633551fb14\\n-- problem_id: v2p_n5_6472787d5bf71e5c\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"mean_Valence\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n5\\\"\\n GROUP BY \\\"mean_Valence\\\"\\n)\\nSELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n ROW_NUMBER() OVER (ORDER BY support DESC, value_label) AS support_rank\\nFROM grouped\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"support_rank\"], \"rows\": [{\"value_label\": \"2.25\", \"support\": 1914, \"support_share\": 0.0900155199172271, \"support_rank\": 1}, {\"value_label\": \"3\", \"support\": 1848, \"support_share\": 0.08691153647180548, \"support_rank\": 2}, {\"value_label\": \"2.2\", \"support\": 1592, \"support_share\": 0.07487184310774585, \"support_rank\": 3}, {\"value_label\": \"4\", \"support\": 1387, \"support_share\": 0.06523068240605748, \"support_rank\": 4}, {\"value_label\": \"2.6\", \"support\": 1250, \"support_share\": 0.058787565254197434, \"support_rank\": 5}, {\"value_label\": \"5\", \"support\": 986, \"support_share\": 0.04637163147251094, \"support_rank\": 6}, {\"value_label\": \"2.4\", \"support\": 971, \"support_share\": 0.045666180689460566, \"support_rank\": 7}, {\"value_label\": \"2.5\", \"support\": 949, \"support_share\": 0.04463151954098669, \"support_rank\": 8}, {\"value_label\": \"4.5\", \"support\": 803, \"support_share\": 0.03776513191929643, \"support_rank\": 9}, {\"value_label\": \"2\", \"support\": 800, \"support_share\": 0.037624041762686355, \"support_rank\": 10}, {\"value_label\": \"3.5\", \"support\": 649, \"support_share\": 0.030522503879979308, \"support_rank\": 11}, {\"value_label\": \"2.66666666666667\", \"support\": 627, \"support_share\": 0.029487842731505433, \"support_rank\": 12}, {\"value_label\": \"2.33333333333333\", \"support\": 622, \"support_share\": 0.02925269247048864, \"support_rank\": 13}, {\"value_label\": \"2.8\", \"support\": 615, \"support_share\": 0.028923482105065138, \"support_rank\": 14}, {\"value_label\": \"4.33333333333333\", \"support\": 590, \"support_share\": 0.027747730799981187, \"support_rank\": 15}, {\"value_label\": \"3.33333333333333\", \"support\": 497, \"support_share\": 0.0233739359450689, \"support_rank\": 16}, {\"value_label\": \"4.66666666666667\", \"support\": 421, \"support_share\": 0.019799651977613696, \"support_rank\": 17}, {\"value_label\": \"2.75\", \"support\": 395, \"support_share\": 0.01857687062032639, \"support_rank\": 18}, {\"value_label\": \"5.5\", \"support\": 392, \"support_share\": 0.018435780463716314, \"support_rank\": 19}, {\"value_label\": \"2.83333333333333\", \"support\": 366, \"support_share\": 0.017212999106429008, \"support_rank\": 20}, {\"value_label\": \"6\", \"support\": 365, \"support_share\": 0.01716596905422565, \"support_rank\": 21}, {\"value_label\": \"3.66666666666667\", \"support\": 362, \"support_share\": 0.017024878897615576, \"support_rank\": 22}, {\"value_label\": \"2.16666666666667\", \"support\": 272, \"support_share\": 0.01279217419931336, \"support_rank\": 23}, {\"value_label\": \"3.25\", \"support\": 267, \"support_share\": 0.012557023938296571, \"support_rank\": 24}, {\"value_label\": \"4.25\", \"support\": 188, \"support_share\": 0.008841649814231294, \"support_rank\": 25}, {\"value_label\": \"3.16666666666667\", \"support\": 185, \"support_share\": 0.00870055965762122, \"support_rank\": 26}, {\"value_label\": \"2.85714285714286\", \"support\": 156, \"support_share\": 0.007336688143723839, \"support_rank\": 27}, {\"value_label\": \"3.2\", \"support\": 151, \"support_share\": 0.00710153788270705, \"support_rank\": 28}, {\"value_label\": \"3.75\", \"support\": 149, \"support_share\": 0.007007477778300334, \"support_rank\": 29}, {\"value_label\": \"3.4\", \"support\": 139, \"support_share\": 0.006537177256266754, \"support_rank\": 30}, {\"value_label\": \"5.33333333333333\", \"support\": 132, \"support_share\": 0.006207966890843249, \"support_rank\": 31}, {\"value_label\": \"2.57142857142857\", \"support\": 130, \"support_share\": 0.006113906786436533, \"support_rank\": 32}, {\"value_label\": \"2.42857142857143\", \"support\": 116, \"support_share\": 0.0054554860555895215, \"support_rank\": 33}, {\"value_label\": \"4.75\", \"support\": 114, \"support_share\": 0.005361425951182806, \"support_rank\": 34}, {\"value_label\": \"6.5\", \"support\": 100, \"support_share\": 0.0047030052203357944, \"support_rank\": 35}, {\"value_label\": \"2.28571428571429\", \"support\": 83, \"support_share\": 0.0039034943328787094, \"support_rank\": 36}, {\"value_label\": \"3.6\", \"support\": 83, \"support_share\": 0.0039034943328787094, \"support_rank\": 37}, {\"value_label\": \"3.14285714285714\", \"support\": 81, \"support_share\": 0.0038094342284719935, \"support_rank\": 38}, {\"value_label\": \"5.66666666666667\", \"support\": 75, \"support_share\": 0.003527253915251846, \"support_rank\": 39}, {\"value_label\": \"3.8\", \"support\": 60, \"support_share\": 0.0028218031322014767, \"support_rank\": 40}, {\"value_label\": \"1.8\", \"support\": 57, \"support_share\": 0.002680712975591403, \"support_rank\": 41}, {\"value_label\": \"2.71428571428571\", \"support\": 42, \"support_share\": 0.0019752621925410337, \"support_rank\": 42}, {\"value_label\": \"5.25\", \"support\": 42, \"support_share\": 0.0019752621925410337, \"support_rank\": 43}, {\"value_label\": \"3.42857142857143\", \"support\": 30, \"support_share\": 0.0014109015661007383, \"support_rank\": 44}, {\"value_label\": \"2.14285714285714\", \"support\": 29, \"support_share\": 0.0013638715138973804, \"support_rank\": 45}, {\"value_label\": \"3.28571428571429\", \"support\": 29, \"support_share\": 0.0013638715138973804, \"support_rank\": 46}, {\"value_label\": \"6.33333333333333\", \"support\": 22, \"support_share\": 0.0010346611484738748, \"support_rank\": 47}, {\"value_label\": \"1.83333333333333\", \"support\": 14, \"support_share\": 0.0006584207308470112, \"support_rank\": 48}, {\"value_label\": \"3.83333333333333\", \"support\": 14, \"support_share\": 0.0006584207308470112, \"support_rank\": 49}, {\"value_label\": \"1.5\", \"support\": 13, \"support_share\": 0.0006113906786436533, \"support_rank\": 50}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 14.85}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_acecff633551fb14/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_acecff633551fb14/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4dcfe2829aff863275649ad67a3285d32c855f57 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_acecff633551fb14/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:15:36.753174+00:00", + "ended_at": "2026-05-19T16:15:36.768859+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_acecff633551fb14", + "problem_id": "v2p_n5_6472787d5bf71e5c", + "dataset_id": "n5", + "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=mean_Valence.", + "bindings": { + "group_col": "mean_Valence" + }, + "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_c/n5/sql/v2q_n5_acecff633551fb14.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_c/n5/artifacts/v2q_n5_acecff633551fb14/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_acecff633551fb14/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_acecff633551fb14/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_c/n5/artifacts/v2q_n5_af0d03d91067587a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_af0d03d91067587a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..6c7ec1066dc32d10b09b61f2f8dda0aeb429d70d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_af0d03d91067587a/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:12:42.335140+00:00", + "ended_at": "2026-05-19T16:12:49.819603+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_af0d03d91067587a", + "problem_id": "v2p_n5_13711a0118ffb065", + "dataset_id": "n5", + "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=std_Valence.", + "bindings": { + "group_col": "std_Valence", + "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": 93.397315, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=125" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_af0d03d91067587a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_af0d03d91067587a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3f6bd85371904a5f1ad647e48e00f4e212ddce04 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_af0d03d91067587a/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:12:45.980951+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": 3630.46, "started_at": "2026-05-19T16:12:42.349407+00:00", "ended_at": "2026-05-19T16:12:45.979898+00:00", "prompt_metrics": {"chars": 44799, "bytes_utf8": 44799, "lines": 1078, "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\":\"019e4102-cb58-70f3-b3aa-3589773f4f83\"}\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": "2026-05-19T16:12:49.819513+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": 2836.31, "started_at": "2026-05-19T16:12:46.982340+00:00", "ended_at": "2026-05-19T16:12:49.818680+00:00", "prompt_metrics": {"chars": 44799, "bytes_utf8": 44799, "lines": 1078, "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\":\"019e4102-dd09-7e11-b47a-bca5f21e0c6d\"}\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_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c53b084e929006eb7128656b1816081968f66228 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/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=gmean_Valence, measure_col=gmean_Valence. +Result preview: [{"gmean_Valence": 2.21336383940064, "group_value": 4205.391294861216}, {"gmean_Valence": 2.1689435423954, "group_value": 3405.2413615607784}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..63427c7bfba22f5ca13e2cbd1e6ca1b85496f2fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_b3cbf3187ebbc12f +-- problem_id: v2p_n5_77407548dfc78c29 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT CAST("gmean_Valence" AS REAL) AS "gmean_Valence", + SUM(CAST("gmean_Valence" AS REAL)) AS group_value + FROM "n5" + WHERE "gmean_Valence" IS NOT NULL + GROUP BY CAST("gmean_Valence" AS REAL) +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."gmean_Valence", 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_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..302087e1f14cfad0b18aef26b69dec6e7f5e0845 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT CAST(\"gmean_Valence\" AS REAL) AS \"gmean_Valence\",\n SUM(CAST(\"gmean_Valence\" AS REAL)) AS group_value\n FROM \"n5\"\n WHERE \"gmean_Valence\" IS NOT NULL\n GROUP BY CAST(\"gmean_Valence\" AS REAL)\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"gmean_Valence\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT CAST(\\\"gmean_Valence\\\" AS REAL) AS \\\"gmean_Valence\\\",\\n SUM(CAST(\\\"gmean_Valence\\\" AS REAL)) AS group_value\\n FROM \\\"n5\\\"\\n WHERE \\\"gmean_Valence\\\" IS NOT NULL\\n GROUP BY CAST(\\\"gmean_Valence\\\" AS REAL)\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"gmean_Valence\\\", 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\": [\"gmean_Valence\", \"group_value\"], \"rows\": [{\"gmean_Valence\": 2.21336383940064, \"group_value\": 4205.391294861216}, {\"gmean_Valence\": 2.1689435423954, \"group_value\": 3405.2413615607784}], \"row_count_returned\": 2, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 28.07}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a908a6d761a7d59f2812d1a981fa541e98c5c796 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:53:31.353122+00:00", + "ended_at": "2026-05-19T15:53:44.373775+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_b3cbf3187ebbc12f", + "problem_id": "v2p_n5_77407548dfc78c29", + "dataset_id": "n5", + "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=gmean_Valence, measure_col=gmean_Valence.", + "bindings": { + "group_col": "gmean_Valence", + "measure_col": "gmean_Valence", + "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": 2.506441, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_b3cbf3187ebbc12f.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_b3cbf3187ebbc12f", + "api_calls": 0, + "input_tokens": 25716, + "cached_input_tokens": 24960, + "output_tokens": 572, + "total_tokens": 26288, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12978.41, + "sql_execution_elapsed_ms_total": 28.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..94de56b978fd10787a31b03a45df4f59816ef273 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:53:44.344077+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12978.41, "started_at": "2026-05-19T15:53:31.364535+00:00", "ended_at": "2026-05-19T15:53:44.342971+00:00", "prompt_metrics": {"chars": 45377, "bytes_utf8": 45377, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 761, "bytes_utf8": 761, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25716, "cached_input_tokens": 24960, "output_tokens": 572, "reasoning_output_tokens": 360}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT CAST(\\\"gmean_Valence\\\" AS REAL) AS \\\"gmean_Valence\\\",\\n SUM(CAST(\\\"gmean_Valence\\\" AS REAL)) AS group_value\\n FROM \\\"n5\\\"\\n WHERE \\\"gmean_Valence\\\" IS NOT NULL\\n GROUP BY CAST(\\\"gmean_Valence\\\" AS REAL)\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"gmean_Valence\\\", 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 and measure_col both bound to \\\"gmean_Valence\\\". Casts are used because the SQLite schema stores these values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ef6420c68c3b7af6617d9c8dab6db4b1bc0e8edb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_b3cbf3187ebbc12f", + "api_calls": 0, + "input_tokens": 25716, + "cached_input_tokens": 24960, + "output_tokens": 572, + "total_tokens": 26288, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12978.41, + "sql_execution_elapsed_ms_total": 28.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b3cbf3187ebbc12f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..40b81f72b0d5898aa4434b3de12dfba7d7f15d12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/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=std_Valence, measure_col=wtd_gmean_Density. +Result preview: [{"std_Valence": 0.85695682505013, "wtd_entropy_Density": 1.17254359561593, "total_measure": 67.9495675463039, "share_within_group": 100.0}, {"std_Valence": 0.903507902905251, "wtd_entropy_Density": 1.09687010963379, "total_measure": 61.0291801615216, "share_within_group": 100.0}, {"std_Valence": 0.968245836551854, "wtd_entropy_Density": 1.33478674326551, "total_measure": 60.5172136953794, "share_within_group": 100.0}, {"std_Valence": 1.74355957741627, "wtd_entropy_Density": 1.16364807685326, "total_measure": 66.6695929838536, "share_within_group": 100.0}, {"std_Valence": 1.82574185835055, "wtd_entropy_Density": 1.00797648586861, "total_measure": 1644.31830756642, "share_within_group": 100.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..abddb4a10576a3c27fc36bbdaeae67b2a4261cbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_b40d01aabff41a74 +-- problem_id: v2p_n5_300334f89d62790f +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("std_Valence" AS REAL) AS "std_Valence", + CAST("wtd_entropy_Density" AS REAL) AS "wtd_entropy_Density", + SUM(CAST("wtd_gmean_Density" AS REAL)) AS "total_measure", + SUM(CAST("wtd_gmean_Density" AS REAL)) * 100.0 + / SUM(SUM(CAST("wtd_gmean_Density" AS REAL))) OVER (PARTITION BY CAST("std_Valence" AS REAL)) AS "share_within_group" +FROM "n5" +WHERE "std_Valence" IS NOT NULL + AND "wtd_entropy_Density" IS NOT NULL + AND "wtd_gmean_Density" IS NOT NULL +GROUP BY CAST("std_Valence" AS REAL), CAST("wtd_entropy_Density" AS REAL) +ORDER BY "share_within_group" DESC +LIMIT 19; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3177c442e731a6a99e484f4d8d35d106abbd4e45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpcds_within_group_share\nSELECT CAST(\"std_Valence\" AS REAL) AS \"std_Valence\",\n CAST(\"wtd_entropy_Density\" AS REAL) AS \"wtd_entropy_Density\",\n SUM(CAST(\"wtd_gmean_Density\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"wtd_gmean_Density\" AS REAL)) * 100.0\n / SUM(SUM(CAST(\"wtd_gmean_Density\" AS REAL))) OVER (PARTITION BY CAST(\"std_Valence\" AS REAL)) AS \"share_within_group\"\nFROM \"n5\"\nWHERE \"std_Valence\" IS NOT NULL\n AND \"wtd_entropy_Density\" IS NOT NULL\n AND \"wtd_gmean_Density\" IS NOT NULL\nGROUP BY CAST(\"std_Valence\" AS REAL), CAST(\"wtd_entropy_Density\" AS REAL)\nORDER BY \"share_within_group\" DESC\nLIMIT 19;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT CAST(\\\"std_Valence\\\" AS REAL) AS \\\"std_Valence\\\",\\n CAST(\\\"wtd_entropy_Density\\\" AS REAL) AS \\\"wtd_entropy_Density\\\",\\n SUM(CAST(\\\"wtd_gmean_Density\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"wtd_gmean_Density\\\" AS REAL)) * 100.0\\n / SUM(SUM(CAST(\\\"wtd_gmean_Density\\\" AS REAL))) OVER (PARTITION BY CAST(\\\"std_Valence\\\" AS REAL)) AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"std_Valence\\\" IS NOT NULL\\n AND \\\"wtd_entropy_Density\\\" IS NOT NULL\\n AND \\\"wtd_gmean_Density\\\" IS NOT NULL\\nGROUP BY CAST(\\\"std_Valence\\\" AS REAL), CAST(\\\"wtd_entropy_Density\\\" AS REAL)\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 19;\", \"columns\": [\"std_Valence\", \"wtd_entropy_Density\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"std_Valence\": 0.85695682505013, \"wtd_entropy_Density\": 1.17254359561593, \"total_measure\": 67.9495675463039, \"share_within_group\": 100.0}, {\"std_Valence\": 0.903507902905251, \"wtd_entropy_Density\": 1.09687010963379, \"total_measure\": 61.0291801615216, \"share_within_group\": 100.0}, {\"std_Valence\": 0.968245836551854, \"wtd_entropy_Density\": 1.33478674326551, \"total_measure\": 60.5172136953794, \"share_within_group\": 100.0}, {\"std_Valence\": 1.74355957741627, \"wtd_entropy_Density\": 1.16364807685326, \"total_measure\": 66.6695929838536, \"share_within_group\": 100.0}, {\"std_Valence\": 1.82574185835055, \"wtd_entropy_Density\": 1.00797648586861, \"total_measure\": 1644.31830756642, \"share_within_group\": 100.0}, {\"std_Valence\": 1.89296944860009, \"wtd_entropy_Density\": 1.35084089468147, \"total_measure\": 1789.4936414231, \"share_within_group\": 100.0}, {\"std_Valence\": 2.62466929133727, \"wtd_entropy_Density\": 0.0672107464850004, \"total_measure\": 20.7977634492128, \"share_within_group\": 100.0}, {\"std_Valence\": 1.49666295470958, \"wtd_entropy_Density\": 1.11911859156146, \"total_measure\": 5033.81757546579, \"share_within_group\": 80.26927108589231}, {\"std_Valence\": 1.7950549357115, \"wtd_entropy_Density\": 1.24152041274909, \"total_measure\": 1936.338224562, \"share_within_group\": 76.03652126306872}, {\"std_Valence\": 3.0, \"wtd_entropy_Density\": 0.487072162903867, \"total_measure\": 8161.29936336143, \"share_within_group\": 72.81686539516075}, {\"std_Valence\": 1.72614942479922, \"wtd_entropy_Density\": 1.6418010548643, \"total_measure\": 6790.00603164237, \"share_within_group\": 68.06291298532732}, {\"std_Valence\": 2.1650635094611, \"wtd_entropy_Density\": 0.697387551866371, \"total_measure\": 458.014285642986, \"share_within_group\": 54.45702925890499}, {\"std_Valence\": 1.88441513689613, \"wtd_entropy_Density\": 1.59967518118577, \"total_measure\": 2551.43905958441, \"share_within_group\": 53.233945079129086}, {\"std_Valence\": 0.687184270936277, \"wtd_entropy_Density\": 1.0407596644581, \"total_measure\": 1026.23601779307, \"share_within_group\": 52.18904611995267}, {\"std_Valence\": 1.38443731048635, \"wtd_entropy_Density\": 1.11973233605419, \"total_measure\": 744.945858993418, \"share_within_group\": 50.524051752150676}, {\"std_Valence\": 1.31695671910659, \"wtd_entropy_Density\": 1.2993455236567, \"total_measure\": 2132.39855531115, \"share_within_group\": 50.084185076626504}, {\"std_Valence\": 0.695970545353753, \"wtd_entropy_Density\": 1.53080374302684, \"total_measure\": 62.0831659943686, \"share_within_group\": 50.05550616783083}, {\"std_Valence\": 0.695970545353753, \"wtd_entropy_Density\": 1.52008123318666, \"total_measure\": 61.9454788987832, \"share_within_group\": 49.944493832169165}, {\"std_Valence\": 0.534522483824849, \"wtd_entropy_Density\": 1.35522376979477, \"total_measure\": 2024.7065781989, \"share_within_group\": 49.91608880514891}], \"row_count_returned\": 19, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 74.13}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..05611918b61a839732f876fa8eb8a38c590ba713 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:44:45.601687+00:00", + "ended_at": "2026-05-19T15:45:05.343205+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_b40d01aabff41a74", + "problem_id": "v2p_n5_300334f89d62790f", + "dataset_id": "n5", + "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=std_Valence, measure_col=wtd_gmean_Density.", + "bindings": { + "group_col": "std_Valence", + "measure_col": "wtd_gmean_Density", + "item_col": "wtd_entropy_Density", + "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": 64.054179, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=11", + "sql_variant_index=2/2", + "binding_index=34" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 11, + "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_c/n5/sql/v2q_n5_b40d01aabff41a74.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_b40d01aabff41a74", + "api_calls": 0, + "input_tokens": 25702, + "cached_input_tokens": 24960, + "output_tokens": 815, + "total_tokens": 26517, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19653.03, + "sql_execution_elapsed_ms_total": 74.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6266546f1119b879337106d0d6f3ef114c66e933 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:45:05.267344+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 19653.03, "started_at": "2026-05-19T15:44:45.613362+00:00", "ended_at": "2026-05-19T15:45:05.266417+00:00", "prompt_metrics": {"chars": 45244, "bytes_utf8": 45244, "lines": 1082, "estimated_tokens": null}, "response_metrics": {"chars": 1014, "bytes_utf8": 1014, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25702, "cached_input_tokens": 24960, "output_tokens": 815, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT CAST(\\\"std_Valence\\\" AS REAL) AS \\\"std_Valence\\\",\\n CAST(\\\"wtd_entropy_Density\\\" AS REAL) AS \\\"wtd_entropy_Density\\\",\\n SUM(CAST(\\\"wtd_gmean_Density\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"wtd_gmean_Density\\\" AS REAL)) * 100.0\\n / SUM(SUM(CAST(\\\"wtd_gmean_Density\\\" AS REAL))) OVER (PARTITION BY CAST(\\\"std_Valence\\\" AS REAL)) AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"std_Valence\\\" IS NOT NULL\\n AND \\\"wtd_entropy_Density\\\" IS NOT NULL\\n AND \\\"wtd_gmean_Density\\\" IS NOT NULL\\nGROUP BY CAST(\\\"std_Valence\\\" AS REAL), CAST(\\\"wtd_entropy_Density\\\" AS REAL)\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 19;\",\"notes\":\"Instantiated the planned Within-Group Share of Total template with group_col=\\\"std_Valence\\\", item_col=\\\"wtd_entropy_Density\\\", and measure_col=\\\"wtd_gmean_Density\\\". Casts to REAL are used because the schema stores these numeric fields as TEXT. Applied LIMIT 19 from the provided to"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..89dc1526346bf7ecadf705c89770439927a7c315 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_b40d01aabff41a74", + "api_calls": 0, + "input_tokens": 25702, + "cached_input_tokens": 24960, + "output_tokens": 815, + "total_tokens": 26517, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19653.03, + "sql_execution_elapsed_ms_total": 74.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b40d01aabff41a74/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d10835368310b31a00ab013604af6f413fb89f02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/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=mean_Valence, measure_col=wtd_mean_Valence. +Result preview: [{"mean_Valence": 4.0, "group_value": 5880.633411639559}, {"mean_Valence": 3.0, "group_value": 5313.77251666265}, {"mean_Valence": 5.0, "group_value": 4844.173325703961}, {"mean_Valence": 2.25, "group_value": 4106.252448985281}, {"mean_Valence": 4.5, "group_value": 3663.3966871144953}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4ef8afa7cbd037e0195254d36ab6657bab437e45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/generated_sql.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_b60dbe7a4758a0b7 +-- problem_id: v2p_n5_ef9d412d97d46a32 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + CAST("mean_Valence" AS REAL) AS "mean_Valence", + SUM(CAST("wtd_mean_Valence" AS REAL)) AS group_value + FROM "n5" + WHERE "mean_Valence" IS NOT NULL + AND TRIM("mean_Valence") <> '' + AND "wtd_mean_Valence" IS NOT NULL + AND TRIM("wtd_mean_Valence") <> '' + GROUP BY CAST("mean_Valence" AS REAL) +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."mean_Valence", 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_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fd0b911589f85ec8ceb6033c7cd1124f68d0309b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n CAST(\"mean_Valence\" AS REAL) AS \"mean_Valence\",\n SUM(CAST(\"wtd_mean_Valence\" AS REAL)) AS group_value\n FROM \"n5\"\n WHERE \"mean_Valence\" IS NOT NULL\n AND TRIM(\"mean_Valence\") <> ''\n AND \"wtd_mean_Valence\" IS NOT NULL\n AND TRIM(\"wtd_mean_Valence\") <> ''\n GROUP BY CAST(\"mean_Valence\" AS REAL)\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"mean_Valence\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n CAST(\\\"mean_Valence\\\" AS REAL) AS \\\"mean_Valence\\\",\\n SUM(CAST(\\\"wtd_mean_Valence\\\" AS REAL)) AS group_value\\n FROM \\\"n5\\\"\\n WHERE \\\"mean_Valence\\\" IS NOT NULL\\n AND TRIM(\\\"mean_Valence\\\") <> ''\\n AND \\\"wtd_mean_Valence\\\" IS NOT NULL\\n AND TRIM(\\\"wtd_mean_Valence\\\") <> ''\\n GROUP BY CAST(\\\"mean_Valence\\\" AS REAL)\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"mean_Valence\\\", 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\": [\"mean_Valence\", \"group_value\"], \"rows\": [{\"mean_Valence\": 4.0, \"group_value\": 5880.633411639559}, {\"mean_Valence\": 3.0, \"group_value\": 5313.77251666265}, {\"mean_Valence\": 5.0, \"group_value\": 4844.173325703961}, {\"mean_Valence\": 2.25, \"group_value\": 4106.252448985281}, {\"mean_Valence\": 4.5, \"group_value\": 3663.3966871144953}, {\"mean_Valence\": 2.2, \"group_value\": 3380.5988974768366}], \"row_count_returned\": 6, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 52.85}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..92ce5fc0874267c5325c55b1a2c26e7cbc481c45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:53:01.246956+00:00", + "ended_at": "2026-05-19T15:53:16.622701+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_b60dbe7a4758a0b7", + "problem_id": "v2p_n5_ef9d412d97d46a32", + "dataset_id": "n5", + "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=mean_Valence, measure_col=wtd_mean_Valence.", + "bindings": { + "group_col": "mean_Valence", + "measure_col": "wtd_mean_Valence", + "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": 2.291714, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=2/2", + "binding_index=72" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 1, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_b60dbe7a4758a0b7.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_b60dbe7a4758a0b7", + "api_calls": 0, + "input_tokens": 25719, + "cached_input_tokens": 12032, + "output_tokens": 784, + "total_tokens": 26503, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15306.65, + "sql_execution_elapsed_ms_total": 52.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9f7e856ff280e7c984723bbd40529f6ad5a43e9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:53:16.567401+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15306.65, "started_at": "2026-05-19T15:53:01.259325+00:00", "ended_at": "2026-05-19T15:53:16.566039+00:00", "prompt_metrics": {"chars": 45382, "bytes_utf8": 45382, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 953, "bytes_utf8": 953, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25719, "cached_input_tokens": 12032, "output_tokens": 784, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n CAST(\\\"mean_Valence\\\" AS REAL) AS \\\"mean_Valence\\\",\\n SUM(CAST(\\\"wtd_mean_Valence\\\" AS REAL)) AS group_value\\n FROM \\\"n5\\\"\\n WHERE \\\"mean_Valence\\\" IS NOT NULL\\n AND TRIM(\\\"mean_Valence\\\") <> ''\\n AND \\\"wtd_mean_Valence\\\" IS NOT NULL\\n AND TRIM(\\\"wtd_mean_Valence\\\") <> ''\\n GROUP BY CAST(\\\"mean_Valence\\\" AS REAL)\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"mean_Valence\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the requested Relative-to-Total Extreme Threshold template with group_col=\\\"mean_Valence\\\" and measure_col=\\\"wtd_mean_Valence\\\". Casts are used because the schema stores these numeric fields as TEXT, and blank/null rows are filtered out for stability.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..84a634ab4f97d64537cc4bff325659e29201bb98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_b60dbe7a4758a0b7", + "api_calls": 0, + "input_tokens": 25719, + "cached_input_tokens": 12032, + "output_tokens": 784, + "total_tokens": 26503, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15306.65, + "sql_execution_elapsed_ms_total": 52.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b60dbe7a4758a0b7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0d0b141f21667d0da0c85bd78a7a2df3f9ecaea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/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=mean_ThermalConductivity. +Result preview: [{"mean_ThermalConductivity": 332.5}, {"mean_ThermalConductivity": 332.5}, {"mean_ThermalConductivity": 332.5}, {"mean_ThermalConductivity": 332.5}, {"mean_ThermalConductivity": 332.5}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..5304ea60ee750cdc30a06d988d08bc865f7f8ab8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/generated_sql.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_b65fdd910eeca204 +-- problem_id: v2p_n5_8611bdae51dd2f36 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + CAST("mean_ThermalConductivity" AS REAL) AS "mean_ThermalConductivity", + NTILE(10) OVER (ORDER BY CAST("mean_ThermalConductivity" AS REAL) DESC) AS "tail_bucket" + FROM "n5" + WHERE "mean_ThermalConductivity" IS NOT NULL + AND TRIM("mean_ThermalConductivity") <> '' +) +SELECT "mean_ThermalConductivity" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "mean_ThermalConductivity" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a4ac5d91eff014bdfa8d8c3e8c2f37e3296cfa5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/query_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(\"mean_ThermalConductivity\" AS REAL) AS \"mean_ThermalConductivity\",\n NTILE(10) OVER (ORDER BY CAST(\"mean_ThermalConductivity\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"n5\"\n WHERE \"mean_ThermalConductivity\" IS NOT NULL\n AND TRIM(\"mean_ThermalConductivity\") <> ''\n)\nSELECT \"mean_ThermalConductivity\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"mean_ThermalConductivity\" DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n CAST(\\\"mean_ThermalConductivity\\\" AS REAL) AS \\\"mean_ThermalConductivity\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"mean_ThermalConductivity\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"mean_ThermalConductivity\\\" IS NOT NULL\\n AND TRIM(\\\"mean_ThermalConductivity\\\") <> ''\\n)\\nSELECT \\\"mean_ThermalConductivity\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"mean_ThermalConductivity\\\" DESC;\", \"columns\": [\"mean_ThermalConductivity\"], \"rows\": [{\"mean_ThermalConductivity\": 332.5}, {\"mean_ThermalConductivity\": 332.5}, {\"mean_ThermalConductivity\": 332.5}, {\"mean_ThermalConductivity\": 332.5}, {\"mean_ThermalConductivity\": 332.5}, {\"mean_ThermalConductivity\": 332.5}, {\"mean_ThermalConductivity\": 332.5}, {\"mean_ThermalConductivity\": 332.5}, {\"mean_ThermalConductivity\": 317.5}, {\"mean_ThermalConductivity\": 317.5}, {\"mean_ThermalConductivity\": 317.5}, {\"mean_ThermalConductivity\": 295.0}, {\"mean_ThermalConductivity\": 295.0}, {\"mean_ThermalConductivity\": 295.0}, {\"mean_ThermalConductivity\": 277.5}, {\"mean_ThermalConductivity\": 277.5}, {\"mean_ThermalConductivity\": 277.5}, {\"mean_ThermalConductivity\": 277.5}, {\"mean_ThermalConductivity\": 277.5}, {\"mean_ThermalConductivity\": 277.5}, {\"mean_ThermalConductivity\": 275.0}, {\"mean_ThermalConductivity\": 275.0}, {\"mean_ThermalConductivity\": 275.0}, {\"mean_ThermalConductivity\": 275.0}, {\"mean_ThermalConductivity\": 260.0}, {\"mean_ThermalConductivity\": 256.0}, {\"mean_ThermalConductivity\": 256.0}, {\"mean_ThermalConductivity\": 256.0}, {\"mean_ThermalConductivity\": 256.0}, {\"mean_ThermalConductivity\": 256.0}, {\"mean_ThermalConductivity\": 255.0}, {\"mean_ThermalConductivity\": 255.0}, {\"mean_ThermalConductivity\": 250.0}, {\"mean_ThermalConductivity\": 250.0}, {\"mean_ThermalConductivity\": 250.0}, {\"mean_ThermalConductivity\": 250.0}, {\"mean_ThermalConductivity\": 250.0}, {\"mean_ThermalConductivity\": 248.5}, {\"mean_ThermalConductivity\": 248.5}, {\"mean_ThermalConductivity\": 248.5}, {\"mean_ThermalConductivity\": 248.5}, {\"mean_ThermalConductivity\": 248.5}, {\"mean_ThermalConductivity\": 248.5}, {\"mean_ThermalConductivity\": 248.5}, {\"mean_ThermalConductivity\": 245.0}, {\"mean_ThermalConductivity\": 245.0}, {\"mean_ThermalConductivity\": 244.333333333333}, {\"mean_ThermalConductivity\": 242.0}, {\"mean_ThermalConductivity\": 241.0}, {\"mean_ThermalConductivity\": 238.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 48.62}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9f31b68b935c7112e4b5fb4f0b3c8a89eaa9202d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:50:54.899503+00:00", + "ended_at": "2026-05-19T15:51:12.510871+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_b65fdd910eeca204", + "problem_id": "v2p_n5_8611bdae51dd2f36", + "dataset_id": "n5", + "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=mean_ThermalConductivity.", + "bindings": { + "measure_col": "mean_ThermalConductivity", + "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": 108.756645, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=2", + "sql_variant_index=1/1", + "binding_index=61" + ], + "template_selection_mode": "rule", + "selected_template_rank": 6, + "problem_index_within_template": 2, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_b65fdd910eeca204.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_b65fdd910eeca204", + "api_calls": 0, + "input_tokens": 25631, + "cached_input_tokens": 24960, + "output_tokens": 723, + "total_tokens": 26354, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17546.6, + "sql_execution_elapsed_ms_total": 48.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..869ef392dd661a7a42dd1e67a6ddfdb548acda66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:51:12.460201+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17546.6, "started_at": "2026-05-19T15:50:54.911689+00:00", "ended_at": "2026-05-19T15:51:12.458319+00:00", "prompt_metrics": {"chars": 45005, "bytes_utf8": 45005, "lines": 1078, "estimated_tokens": null}, "response_metrics": {"chars": 700, "bytes_utf8": 700, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25631, "cached_input_tokens": 24960, "output_tokens": 723, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n CAST(\\\"mean_ThermalConductivity\\\" AS REAL) AS \\\"mean_ThermalConductivity\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"mean_ThermalConductivity\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"mean_ThermalConductivity\\\" IS NOT NULL\\n AND TRIM(\\\"mean_ThermalConductivity\\\") <> ''\\n)\\nSELECT \\\"mean_ThermalConductivity\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"mean_ThermalConductivity\\\" DESC;\",\"notes\":\"Applies the Quantile Tail Slice template with measure_col bound to \\\"mean_ThermalConductivity\\\" and num_tiles=10, casting from TEXT to REAL so the top decile is ranked numerically.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0b0ce1b6fffaf0bdb9441fb706979f878750440f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_b65fdd910eeca204", + "api_calls": 0, + "input_tokens": 25631, + "cached_input_tokens": 24960, + "output_tokens": 723, + "total_tokens": 26354, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17546.6, + "sql_execution_elapsed_ms_total": 48.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_b65fdd910eeca204/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..f7d45f5fb02c3fa85bfc43d6e6c9febf4292e2bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/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=range_Valence, measure_col=entropy_atomic_mass. +Result preview: [{"range_Valence": "1", "total_measure": 8797.806065864566}, {"range_Valence": "2", "total_measure": 5898.273601791}, {"range_Valence": "3", "total_measure": 5349.8553247972295}, {"range_Valence": "4", "total_measure": 2963.9223217574513}, {"range_Valence": "0", "total_measure": 966.4008998057261}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..47d72923dbf4a8e061e7e6814b0fe74fee16ee56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_ba8f5d848cb433c1 +-- problem_id: v2p_n5_4e756e82b9b288f8 +-- realization_mode: agent +-- source_kind: agent +SELECT + "range_Valence", + SUM(CAST("entropy_atomic_mass" AS REAL)) AS total_measure +FROM "n5" +GROUP BY "range_Valence" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..98ef688ec093c7df800fcb9a994c96e26fe2153e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/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_h2o_group_sum\nSELECT\n \"range_Valence\",\n SUM(CAST(\"entropy_atomic_mass\" AS REAL)) AS total_measure\nFROM \"n5\"\nGROUP BY \"range_Valence\"\nORDER BY total_measure DESC;", "result": "{\"query\": \"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"range_Valence\\\",\\n SUM(CAST(\\\"entropy_atomic_mass\\\" AS REAL)) AS total_measure\\nFROM \\\"n5\\\"\\nGROUP BY \\\"range_Valence\\\"\\nORDER BY total_measure DESC;\", \"columns\": [\"range_Valence\", \"total_measure\"], \"rows\": [{\"range_Valence\": \"1\", \"total_measure\": 8797.806065864566}, {\"range_Valence\": \"2\", \"total_measure\": 5898.273601791}, {\"range_Valence\": \"3\", \"total_measure\": 5349.8553247972295}, {\"range_Valence\": \"4\", \"total_measure\": 2963.9223217574513}, {\"range_Valence\": \"0\", \"total_measure\": 966.4008998057261}, {\"range_Valence\": \"5\", \"total_measure\": 804.119221862359}, {\"range_Valence\": \"6\", \"total_measure\": 3.944707585530041}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 23.66}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d18b56373fbb9a667a37b80ff2ab6ca8c9163db5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:31:37.364656+00:00", + "ended_at": "2026-05-19T15:32:24.646890+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_ba8f5d848cb433c1", + "problem_id": "v2p_n5_4e756e82b9b288f8", + "dataset_id": "n5", + "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=range_Valence, measure_col=entropy_atomic_mass.", + "bindings": { + "group_col": "range_Valence", + "measure_col": "entropy_atomic_mass", + "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": 1.426911, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_ba8f5d848cb433c1.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_ba8f5d848cb433c1", + "api_calls": 0, + "input_tokens": 25576, + "cached_input_tokens": 12032, + "output_tokens": 301, + "total_tokens": 25877, + "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": 46239.39, + "sql_execution_elapsed_ms_total": 23.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..720ca9ed430a39024bbb5c5e630732487bb1a8c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:32:11.649322+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": 34271.01, "started_at": "2026-05-19T15:31:37.377307+00:00", "ended_at": "2026-05-19T15:32:11.648347+00:00", "prompt_metrics": {"chars": 44832, "bytes_utf8": 44832, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 3734, "bytes_utf8": 3734, "lines": 13, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40dd-2e29-72f0-ae9e-48ef276fe15a\"}\n{\"type\":\"turn.started\"}\n{\"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 1990042, Requested 26211. Please try again in 487ms. Visit https://platform.openai.com/account/rate-limits to learn more.)\"}\n{\"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 1987287, Requested 26211. Please try again in 404ms. Visit https://platform.openai.com/account/rate-limits to learn more.)\"}\n{\"type\":\"error\",\"message\":\"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1986561, Requested 26211.", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T15:32:24.621374+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": 11968.38, "started_at": "2026-05-19T15:32:12.652057+00:00", "ended_at": "2026-05-19T15:32:24.620489+00:00", "prompt_metrics": {"chars": 44832, "bytes_utf8": 44832, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 429, "bytes_utf8": 429, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25576, "cached_input_tokens": 12032, "output_tokens": 301, "reasoning_output_tokens": 187}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"range_Valence\\\",\\n SUM(CAST(\\\"entropy_atomic_mass\\\" AS REAL)) AS total_measure\\nFROM \\\"n5\\\"\\nGROUP BY \\\"range_Valence\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"range_Valence\\\" and measure_col=\\\"entropy_atomic_mass\\\". Cast the measure from TEXT to REAL because the SQLite schema stores numeric-looking fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..05bb3abced1a3df92a21904b54df610afcd309ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_ba8f5d848cb433c1", + "api_calls": 0, + "input_tokens": 25576, + "cached_input_tokens": 12032, + "output_tokens": 301, + "total_tokens": 25877, + "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": 46239.39, + "sql_execution_elapsed_ms_total": 23.66, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ba8f5d848cb433c1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_bc986afa89c96eab/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_bc986afa89c96eab/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..38c5ffc99da38817b6fdad886b6f96d83a4ffc3a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_bc986afa89c96eab/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:11:36.627266+00:00", + "ended_at": "2026-05-19T16:11:44.872673+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_bc986afa89c96eab", + "problem_id": "v2p_n5_36a73fe7a7468677", + "dataset_id": "n5", + "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=mean_Valence.", + "bindings": { + "group_col": "mean_Valence", + "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": 3831.085196, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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", + "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_c/n5/artifacts/v2q_n5_bc986afa89c96eab/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_bc986afa89c96eab/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9ec7ae9c465d30cfc7c0724385812513171a964e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_bc986afa89c96eab/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:11:40.085727+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": 3444.79, "started_at": "2026-05-19T16:11:36.639376+00:00", "ended_at": "2026-05-19T16:11:40.084200+00:00", "prompt_metrics": {"chars": 44803, "bytes_utf8": 44803, "lines": 1078, "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\":\"019e4101-ca7c-7700-a700-21ea39fe2a0a\"}\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": "2026-05-19T16:11:44.872591+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": 3783.2, "started_at": "2026-05-19T16:11:41.088529+00:00", "ended_at": "2026-05-19T16:11:44.871770+00:00", "prompt_metrics": {"chars": 44803, "bytes_utf8": 44803, "lines": 1078, "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\":\"019e4101-dbbb-7482-848e-2b209928310a\"}\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_c/n5/artifacts/v2q_n5_be7e6c13196431d3/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_be7e6c13196431d3/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..eabefa0ee81403cc96f448b9163e95d23129a2bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_be7e6c13196431d3/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:12:56.771937+00:00", + "ended_at": "2026-05-19T16:13:08.445714+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_be7e6c13196431d3", + "problem_id": "v2p_n5_9cefeb5a9de9fe26", + "dataset_id": "n5", + "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=number_of_elements.", + "bindings": { + "group_col": "number_of_elements", + "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": 1.285203, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=7", + "sql_variant_index=2/2", + "binding_index=126" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 7, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_be7e6c13196431d3/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_be7e6c13196431d3/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5f71910087515285493566c2d4b81f9e47e720ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_be7e6c13196431d3/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:12:59.924323+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": 3140.62, "started_at": "2026-05-19T16:12:56.782831+00:00", "ended_at": "2026-05-19T16:12:59.923479+00:00", "prompt_metrics": {"chars": 44812, "bytes_utf8": 44812, "lines": 1078, "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\":\"019e4103-035b-7791-a92b-8d599d008bfe\"}\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": "2026-05-19T16:13:08.445629+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": 7519.15, "started_at": "2026-05-19T16:13:00.925678+00:00", "ended_at": "2026-05-19T16:13:08.444854+00:00", "prompt_metrics": {"chars": 44812, "bytes_utf8": 44812, "lines": 1078, "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\":\"019e4103-1382-70f2-b698-1425cadfc4e2\"}\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_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd330bdc36b295f67a057bb9e2e1ca3a41d1f37f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/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=mean_Valence, group_col_2=range_Valence. +Result preview: [{"mean_Valence": "2.2", "range_Valence": "1", "row_count": 1524}, {"mean_Valence": "2.4", "range_Valence": "1", "row_count": 841}, {"mean_Valence": "2.6", "range_Valence": "2", "row_count": 791}, {"mean_Valence": "2.5", "range_Valence": "2", "row_count": 436}, {"mean_Valence": "2.33333333333333", "range_Valence": "1", "row_count": 374}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..6ff7c77306c4ed79e34756b1596e81d1f35e3306 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_becd6dcdc7b63bad +-- problem_id: v2p_n5_73fc58a3abee006e +-- realization_mode: agent +-- source_kind: agent +SELECT "mean_Valence", "range_Valence", COUNT(*) AS row_count +FROM "n5" +WHERE CAST("entropy_FusionHeat" AS REAL) >= 1.323604 +GROUP BY "mean_Valence", "range_Valence" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9dc9ce2727e148293a8a4d9fe717225d2325ab4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/query_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 \"mean_Valence\", \"range_Valence\", COUNT(*) AS row_count\nFROM \"n5\"\nWHERE CAST(\"entropy_FusionHeat\" AS REAL) >= 1.323604\nGROUP BY \"mean_Valence\", \"range_Valence\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"mean_Valence\\\", \\\"range_Valence\\\", COUNT(*) AS row_count\\nFROM \\\"n5\\\"\\nWHERE CAST(\\\"entropy_FusionHeat\\\" AS REAL) >= 1.323604\\nGROUP BY \\\"mean_Valence\\\", \\\"range_Valence\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"mean_Valence\", \"range_Valence\", \"row_count\"], \"rows\": [{\"mean_Valence\": \"2.2\", \"range_Valence\": \"1\", \"row_count\": 1524}, {\"mean_Valence\": \"2.4\", \"range_Valence\": \"1\", \"row_count\": 841}, {\"mean_Valence\": \"2.6\", \"range_Valence\": \"2\", \"row_count\": 791}, {\"mean_Valence\": \"2.5\", \"range_Valence\": \"2\", \"row_count\": 436}, {\"mean_Valence\": \"2.33333333333333\", \"range_Valence\": \"1\", \"row_count\": 374}, {\"mean_Valence\": \"2.66666666666667\", \"range_Valence\": \"3\", \"row_count\": 329}, {\"mean_Valence\": \"2.6\", \"range_Valence\": \"3\", \"row_count\": 323}, {\"mean_Valence\": \"2.16666666666667\", \"range_Valence\": \"1\", \"row_count\": 262}, {\"mean_Valence\": \"2.83333333333333\", \"range_Valence\": \"3\", \"row_count\": 254}, {\"mean_Valence\": \"3\", \"range_Valence\": \"3\", \"row_count\": 186}, {\"mean_Valence\": \"2.8\", \"range_Valence\": \"3\", \"row_count\": 184}, {\"mean_Valence\": \"2.85714285714286\", \"range_Valence\": \"3\", \"row_count\": 136}, {\"mean_Valence\": \"3.16666666666667\", \"range_Valence\": \"4\", \"row_count\": 112}, {\"mean_Valence\": \"2.8\", \"range_Valence\": \"2\", \"row_count\": 102}, {\"mean_Valence\": \"3\", \"range_Valence\": \"4\", \"row_count\": 102}, {\"mean_Valence\": \"2.42857142857143\", \"range_Valence\": \"2\", \"row_count\": 96}, {\"mean_Valence\": \"3.14285714285714\", \"range_Valence\": \"3\", \"row_count\": 76}, {\"mean_Valence\": \"2.28571428571429\", \"range_Valence\": \"1\", \"row_count\": 75}, {\"mean_Valence\": \"2.5\", \"range_Valence\": \"3\", \"row_count\": 61}, {\"mean_Valence\": \"3\", \"range_Valence\": \"2\", \"row_count\": 57}, {\"mean_Valence\": \"2.57142857142857\", \"range_Valence\": \"3\", \"row_count\": 56}, {\"mean_Valence\": \"2.33333333333333\", \"range_Valence\": \"4\", \"row_count\": 52}, {\"mean_Valence\": \"2.83333333333333\", \"range_Valence\": \"4\", \"row_count\": 49}, {\"mean_Valence\": \"3.33333333333333\", \"range_Valence\": \"5\", \"row_count\": 43}, {\"mean_Valence\": \"2.57142857142857\", \"range_Valence\": \"2\", \"row_count\": 38}, {\"mean_Valence\": \"2.66666666666667\", \"range_Valence\": \"2\", \"row_count\": 37}, {\"mean_Valence\": \"2\", \"range_Valence\": \"2\", \"row_count\": 35}, {\"mean_Valence\": \"2.33333333333333\", \"range_Valence\": \"2\", \"row_count\": 35}, {\"mean_Valence\": \"2.57142857142857\", \"range_Valence\": \"4\", \"row_count\": 28}, {\"mean_Valence\": \"3.2\", \"range_Valence\": \"3\", \"row_count\": 27}, {\"mean_Valence\": \"3.8\", \"range_Valence\": \"4\", \"row_count\": 27}, {\"mean_Valence\": \"2.14285714285714\", \"range_Valence\": \"1\", \"row_count\": 26}, {\"mean_Valence\": \"2.66666666666667\", \"range_Valence\": \"4\", \"row_count\": 24}, {\"mean_Valence\": \"2.83333333333333\", \"range_Valence\": \"5\", \"row_count\": 23}, {\"mean_Valence\": \"3.42857142857143\", \"range_Valence\": \"4\", \"row_count\": 23}, {\"mean_Valence\": \"3.16666666666667\", \"range_Valence\": \"3\", \"row_count\": 21}, {\"mean_Valence\": \"2.71428571428571\", \"range_Valence\": \"3\", \"row_count\": 20}, {\"mean_Valence\": \"3.4\", \"range_Valence\": \"3\", \"row_count\": 20}, {\"mean_Valence\": \"3.28571428571429\", \"range_Valence\": \"4\", \"row_count\": 19}, {\"mean_Valence\": \"3.5\", \"range_Valence\": \"4\", \"row_count\": 18}, {\"mean_Valence\": \"2.5\", \"range_Valence\": \"1\", \"row_count\": 17}, {\"mean_Valence\": \"2.83333333333333\", \"range_Valence\": \"2\", \"row_count\": 17}, {\"mean_Valence\": \"4.25\", \"range_Valence\": \"3\", \"row_count\": 14}, {\"mean_Valence\": \"3.5\", \"range_Valence\": \"1\", \"row_count\": 13}, {\"mean_Valence\": \"3.6\", \"range_Valence\": \"3\", \"row_count\": 13}, {\"mean_Valence\": \"2\", \"range_Valence\": \"0\", \"row_count\": 12}, {\"mean_Valence\": \"2.25\", \"range_Valence\": \"3\", \"row_count\": 12}, {\"mean_Valence\": \"2.6\", \"range_Valence\": \"4\", \"row_count\": 12}, {\"mean_Valence\": \"2.75\", \"range_Valence\": \"3\", \"row_count\": 12}, {\"mean_Valence\": \"3.2\", \"range_Valence\": \"2\", \"row_count\": 11}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 32.61}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ac05dfc7cabf2e91804a5b4221e82ed7dcaa6f4c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:50:02.171842+00:00", + "ended_at": "2026-05-19T15:50:17.363408+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_becd6dcdc7b63bad", + "problem_id": "v2p_n5_73fc58a3abee006e", + "dataset_id": "n5", + "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=mean_Valence, group_col_2=range_Valence.", + "bindings": { + "group_col": "mean_Valence", + "group_col_2": "range_Valence", + "predicate_col": "entropy_FusionHeat", + "predicate_op": ">=", + "predicate_value": 1.323604, + "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": 1.323604, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_becd6dcdc7b63bad.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_becd6dcdc7b63bad", + "api_calls": 0, + "input_tokens": 25676, + "cached_input_tokens": 12032, + "output_tokens": 317, + "total_tokens": 25993, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15145.23, + "sql_execution_elapsed_ms_total": 32.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..838fa05166c737c9ff4e976e6a55d009031a598f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:50:17.328205+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 15145.23, "started_at": "2026-05-19T15:50:02.181619+00:00", "ended_at": "2026-05-19T15:50:17.326882+00:00", "prompt_metrics": {"chars": 45143, "bytes_utf8": 45143, "lines": 1084, "estimated_tokens": null}, "response_metrics": {"chars": 495, "bytes_utf8": 495, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25676, "cached_input_tokens": 12032, "output_tokens": 317, "reasoning_output_tokens": 180}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"mean_Valence\\\", \\\"range_Valence\\\", COUNT(*) AS row_count\\nFROM \\\"n5\\\"\\nWHERE CAST(\\\"entropy_FusionHeat\\\" AS REAL) >= 1.323604\\nGROUP BY \\\"mean_Valence\\\", \\\"range_Valence\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applied the provided filtered two-dimensional group count template with \\\"mean_Valence\\\" and \\\"range_Valence\\\" as grouping columns. Cast \\\"entropy_FusionHeat\\\" to REAL because the schema stores columns as TEXT in SQLite.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4ecae7150cab626e0a9dad5294d1550ce56cf05d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_becd6dcdc7b63bad", + "api_calls": 0, + "input_tokens": 25676, + "cached_input_tokens": 12032, + "output_tokens": 317, + "total_tokens": 25993, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15145.23, + "sql_execution_elapsed_ms_total": 32.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_becd6dcdc7b63bad/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c432b814475864a0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c432b814475864a0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4a6f82b74efd4cde47014af4e6eae9671b3f300e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c432b814475864a0/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:15:06.480224+00:00", + "ended_at": "2026-05-19T16:15:14.275586+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_c432b814475864a0", + "problem_id": "v2p_n5_c17f5fae367046bf", + "dataset_id": "n5", + "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=std_Valence, measure_col=wtd_range_FusionHeat.", + "bindings": { + "group_col": "std_Valence", + "measure_col": "wtd_range_FusionHeat", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.97, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=139" + ], + "template_selection_mode": "rule", + "selected_template_rank": 12, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c432b814475864a0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c432b814475864a0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..42dcf90dde2c34b0dafac904abe28ec72f305575 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c432b814475864a0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:15:10.080235+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": 3587.57, "started_at": "2026-05-19T16:15:06.491631+00:00", "ended_at": "2026-05-19T16:15:10.079228+00:00", "prompt_metrics": {"chars": 44908, "bytes_utf8": 44908, "lines": 1080, "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\":\"019e4104-fdf5-77b0-a3c0-03bf8934df4d\"}\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": "2026-05-19T16:15:14.275494+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": 3192.97, "started_at": "2026-05-19T16:15:11.081592+00:00", "ended_at": "2026-05-19T16:15:14.274584+00:00", "prompt_metrics": {"chars": 44908, "bytes_utf8": 44908, "lines": 1080, "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\":\"019e4105-0fe2-71e0-a305-e6ea6861a720\"}\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_c/n5/artifacts/v2q_n5_c57bae0ffde7929e/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c57bae0ffde7929e/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..af0ee8527205edc8d6120021dd27dfb0a37eb286 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c57bae0ffde7929e/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"wtd_range_atomic_mass": "0", "support": 285, "avg_response": 1.0}, {"wtd_range_atomic_mass": "36.9506571428571", "support": 185, "avg_response": 4.410810810810811}, {"wtd_range_atomic_mass": "12.5121692307692", "support": 145, "avg_response": 4.0}, {"wtd_range_atomic_mass": "50.245175", "support": 121, "avg_response": 5.520661157024794}, {"wtd_range_atomic_mass": "14.2883192307692", "support": 110, "avg_response": 4.0}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c57bae0ffde7929e/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c57bae0ffde7929e/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..8ac983a3b9809deb21ebc3dd106f868061cd8d29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c57bae0ffde7929e/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_c57bae0ffde7929e +-- problem_id: v2p_n5_8abcaf6460e30d50 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "wtd_range_atomic_mass", + COUNT(*) AS support, + AVG("number_of_elements") AS avg_response +FROM "n5" +GROUP BY "wtd_range_atomic_mass" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c57bae0ffde7929e/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c57bae0ffde7929e/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5ee5d4c831d5a931667b36ac1448380685329cae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c57bae0ffde7929e/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_c\n-- sql_source_dataset_id: n5\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_n5_c57bae0ffde7929e\n-- problem_id: v2p_n5_8abcaf6460e30d50\n-- realization_mode: deterministic\n-- source_kind: deterministic\nSELECT\n \"wtd_range_atomic_mass\",\n COUNT(*) AS support,\n AVG(\"number_of_elements\") AS avg_response\nFROM \"n5\"\nGROUP BY \"wtd_range_atomic_mass\"\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_c\\n-- sql_source_dataset_id: n5\\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_n5_c57bae0ffde7929e\\n-- problem_id: v2p_n5_8abcaf6460e30d50\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nSELECT\\n \\\"wtd_range_atomic_mass\\\",\\n COUNT(*) AS support,\\n AVG(\\\"number_of_elements\\\") AS avg_response\\nFROM \\\"n5\\\"\\nGROUP BY \\\"wtd_range_atomic_mass\\\"\\nHAVING COUNT(*) >= 5.0\\nORDER BY support DESC, avg_response DESC;\", \"columns\": [\"wtd_range_atomic_mass\", \"support\", \"avg_response\"], \"rows\": [{\"wtd_range_atomic_mass\": \"0\", \"support\": 285, \"avg_response\": 1.0}, {\"wtd_range_atomic_mass\": \"36.9506571428571\", \"support\": 185, \"avg_response\": 4.410810810810811}, {\"wtd_range_atomic_mass\": \"12.5121692307692\", \"support\": 145, \"avg_response\": 4.0}, {\"wtd_range_atomic_mass\": \"50.245175\", \"support\": 121, \"avg_response\": 5.520661157024794}, {\"wtd_range_atomic_mass\": \"14.2883192307692\", \"support\": 110, \"avg_response\": 4.0}, {\"wtd_range_atomic_mass\": \"17.5626833333333\", \"support\": 95, \"avg_response\": 4.757894736842105}, {\"wtd_range_atomic_mass\": \"25.1921866666667\", \"support\": 94, \"avg_response\": 5.117021276595745}, {\"wtd_range_atomic_mass\": \"40.19614\", \"support\": 85, \"avg_response\": 5.435294117647059}, {\"wtd_range_atomic_mass\": \"22.7486571428571\", \"support\": 76, \"avg_response\": 6.473684210526316}, {\"wtd_range_atomic_mass\": \"18.9594207692308\", \"support\": 62, \"avg_response\": 5.080645161290323}, {\"wtd_range_atomic_mass\": \"34.8331599285714\", \"support\": 53, \"avg_response\": 4.0}, {\"wtd_range_atomic_mass\": \"0.894333333333334\", \"support\": 47, \"avg_response\": 2.0}, {\"wtd_range_atomic_mass\": \"31.3836909090909\", \"support\": 45, \"avg_response\": 4.0}, {\"wtd_range_atomic_mass\": \"12.38321\", \"support\": 44, \"avg_response\": 4.0}, {\"wtd_range_atomic_mass\": \"24.9483714285714\", \"support\": 40, \"avg_response\": 5.3}, {\"wtd_range_atomic_mass\": \"9.77725333333333\", \"support\": 38, \"avg_response\": 4.0}, {\"wtd_range_atomic_mass\": \"40.9308888888889\", \"support\": 38, \"avg_response\": 3.1842105263157894}, {\"wtd_range_atomic_mass\": \"12.156125\", \"support\": 32, \"avg_response\": 4.875}, {\"wtd_range_atomic_mass\": \"66.9935666666667\", \"support\": 32, \"avg_response\": 4.84375}, {\"wtd_range_atomic_mass\": \"35.1186142857143\", \"support\": 32, \"avg_response\": 4.0}, {\"wtd_range_atomic_mass\": \"33.2151208571429\", \"support\": 31, \"avg_response\": 4.032258064516129}, {\"wtd_range_atomic_mass\": \"11.5815384615385\", \"support\": 28, \"avg_response\": 5.392857142857143}, {\"wtd_range_atomic_mass\": \"34.25140742\", \"support\": 28, \"avg_response\": 5.321428571428571}, {\"wtd_range_atomic_mass\": \"5.29785714285714\", \"support\": 28, \"avg_response\": 5.0}, {\"wtd_range_atomic_mass\": \"26.3885\", \"support\": 28, \"avg_response\": 4.0}, {\"wtd_range_atomic_mass\": \"12.6388692307692\", \"support\": 27, \"avg_response\": 5.814814814814815}, {\"wtd_range_atomic_mass\": \"20.8189384615385\", \"support\": 27, \"avg_response\": 5.777777777777778}, {\"wtd_range_atomic_mass\": \"34.2373932142857\", \"support\": 27, \"avg_response\": 4.0}, {\"wtd_range_atomic_mass\": \"17.8755157692308\", \"support\": 26, \"avg_response\": 5.038461538461538}, {\"wtd_range_atomic_mass\": \"28.7394\", \"support\": 25, \"avg_response\": 5.4}, {\"wtd_range_atomic_mass\": \"34.203911412\", \"support\": 25, \"avg_response\": 5.4}, {\"wtd_range_atomic_mass\": \"32.2195272727273\", \"support\": 25, \"avg_response\": 4.68}, {\"wtd_range_atomic_mass\": \"36.451199\", \"support\": 25, \"avg_response\": 4.0}, {\"wtd_range_atomic_mass\": \"15.8917714285714\", \"support\": 25, \"avg_response\": 3.0}, {\"wtd_range_atomic_mass\": \"34.48888746\", \"support\": 24, \"avg_response\": 5.416666666666667}, {\"wtd_range_atomic_mass\": \"11.9385384615385\", \"support\": 23, \"avg_response\": 6.304347826086956}, {\"wtd_range_atomic_mass\": \"30.7265175\", \"support\": 23, \"avg_response\": 4.173913043478261}, {\"wtd_range_atomic_mass\": \"14.3990813953488\", \"support\": 23, \"avg_response\": 4.0}, {\"wtd_range_atomic_mass\": \"77.65955\", \"support\": 22, \"avg_response\": 3.4545454545454546}, {\"wtd_range_atomic_mass\": \"20.0433257692308\", \"support\": 21, \"avg_response\": 5.095238095238095}, {\"wtd_range_atomic_mass\": \"14.3434864864865\", \"support\": 21, \"avg_response\": 4.0}, {\"wtd_range_atomic_mass\": \"32.8139\", \"support\": 21, \"avg_response\": 3.0952380952380953}, {\"wtd_range_atomic_mass\": \"21.6712066666667\", \"support\": 21, \"avg_response\": 2.0}, {\"wtd_range_atomic_mass\": \"14.51157421875\", \"support\": 20, \"avg_response\": 4.0}, {\"wtd_range_atomic_mass\": \"25.6317166666667\", \"support\": 20, \"avg_response\": 3.75}, {\"wtd_range_atomic_mass\": \"20.3728461538462\", \"support\": 19, \"avg_response\": 5.0}, {\"wtd_range_atomic_mass\": \"38.668216\", \"support\": 19, \"avg_response\": 4.0}, {\"wtd_range_atomic_mass\": \"31.18475\", \"support\": 19, \"avg_response\": 2.0}, {\"wtd_range_atomic_mass\": \"51.522285\", \"support\": 19, \"avg_response\": 2.0}, {\"wtd_range_atomic_mass\": \"62.93440035\", \"support\": 19, \"avg_response\": 2.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 20.48}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c57bae0ffde7929e/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c57bae0ffde7929e/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..92f6286248bbb785f6805f1c8bc34d714d61730b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c57bae0ffde7929e/run_manifest.json @@ -0,0 +1,60 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:15:36.919257+00:00", + "ended_at": "2026-05-19T16:15:36.940621+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_c57bae0ffde7929e", + "problem_id": "v2p_n5_8abcaf6460e30d50", + "dataset_id": "n5", + "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=number_of_elements, key_col=wtd_range_atomic_mass.", + "bindings": { + "key_col": "wtd_range_atomic_mass", + "measure_col": "number_of_elements", + "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_c/n5/sql/v2q_n5_c57bae0ffde7929e.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_c/n5/artifacts/v2q_n5_c57bae0ffde7929e/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c57bae0ffde7929e/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c57bae0ffde7929e/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_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..9400476dc84f0ad1975c61df679d7b191ab142e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/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=mean_Valence. +Result preview: [{"mean_Valence": "2.25", "row_count": 1914}, {"mean_Valence": "3", "row_count": 1848}, {"mean_Valence": "2.2", "row_count": 1592}, {"mean_Valence": "4", "row_count": 1387}, {"mean_Valence": "2.6", "row_count": 1250}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..10b2c7a83145af96a8faebf813a21fab0b4cb526 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/generated_sql.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_c8a17082a03f0f1b +-- problem_id: v2p_n5_498ba405778bc46c +-- realization_mode: agent +-- source_kind: agent +SELECT "mean_Valence", COUNT(*) AS "row_count" +FROM "n5" +GROUP BY "mean_Valence" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8279827fd970b02220c6468821c8f799e3f671aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/query_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 \"mean_Valence\", COUNT(*) AS \"row_count\"\nFROM \"n5\"\nGROUP BY \"mean_Valence\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"mean_Valence\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n5\\\"\\nGROUP BY \\\"mean_Valence\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"mean_Valence\", \"row_count\"], \"rows\": [{\"mean_Valence\": \"2.25\", \"row_count\": 1914}, {\"mean_Valence\": \"3\", \"row_count\": 1848}, {\"mean_Valence\": \"2.2\", \"row_count\": 1592}, {\"mean_Valence\": \"4\", \"row_count\": 1387}, {\"mean_Valence\": \"2.6\", \"row_count\": 1250}, {\"mean_Valence\": \"5\", \"row_count\": 986}, {\"mean_Valence\": \"2.4\", \"row_count\": 971}, {\"mean_Valence\": \"2.5\", \"row_count\": 949}, {\"mean_Valence\": \"4.5\", \"row_count\": 803}, {\"mean_Valence\": \"2\", \"row_count\": 800}, {\"mean_Valence\": \"3.5\", \"row_count\": 649}, {\"mean_Valence\": \"2.66666666666667\", \"row_count\": 627}, {\"mean_Valence\": \"2.33333333333333\", \"row_count\": 622}, {\"mean_Valence\": \"2.8\", \"row_count\": 615}, {\"mean_Valence\": \"4.33333333333333\", \"row_count\": 590}, {\"mean_Valence\": \"3.33333333333333\", \"row_count\": 497}, {\"mean_Valence\": \"4.66666666666667\", \"row_count\": 421}, {\"mean_Valence\": \"2.75\", \"row_count\": 395}, {\"mean_Valence\": \"5.5\", \"row_count\": 392}, {\"mean_Valence\": \"2.83333333333333\", \"row_count\": 366}, {\"mean_Valence\": \"6\", \"row_count\": 365}, {\"mean_Valence\": \"3.66666666666667\", \"row_count\": 362}, {\"mean_Valence\": \"2.16666666666667\", \"row_count\": 272}, {\"mean_Valence\": \"3.25\", \"row_count\": 267}, {\"mean_Valence\": \"4.25\", \"row_count\": 188}, {\"mean_Valence\": \"3.16666666666667\", \"row_count\": 185}, {\"mean_Valence\": \"2.85714285714286\", \"row_count\": 156}, {\"mean_Valence\": \"3.2\", \"row_count\": 151}, {\"mean_Valence\": \"3.75\", \"row_count\": 149}, {\"mean_Valence\": \"3.4\", \"row_count\": 139}, {\"mean_Valence\": \"5.33333333333333\", \"row_count\": 132}, {\"mean_Valence\": \"2.57142857142857\", \"row_count\": 130}, {\"mean_Valence\": \"2.42857142857143\", \"row_count\": 116}, {\"mean_Valence\": \"4.75\", \"row_count\": 114}, {\"mean_Valence\": \"6.5\", \"row_count\": 100}, {\"mean_Valence\": \"3.6\", \"row_count\": 83}, {\"mean_Valence\": \"2.28571428571429\", \"row_count\": 83}, {\"mean_Valence\": \"3.14285714285714\", \"row_count\": 81}, {\"mean_Valence\": \"5.66666666666667\", \"row_count\": 75}, {\"mean_Valence\": \"3.8\", \"row_count\": 60}, {\"mean_Valence\": \"1.8\", \"row_count\": 57}, {\"mean_Valence\": \"5.25\", \"row_count\": 42}, {\"mean_Valence\": \"2.71428571428571\", \"row_count\": 42}, {\"mean_Valence\": \"3.42857142857143\", \"row_count\": 30}, {\"mean_Valence\": \"3.28571428571429\", \"row_count\": 29}, {\"mean_Valence\": \"2.14285714285714\", \"row_count\": 29}, {\"mean_Valence\": \"6.33333333333333\", \"row_count\": 22}, {\"mean_Valence\": \"3.83333333333333\", \"row_count\": 14}, {\"mean_Valence\": \"1.83333333333333\", \"row_count\": 14}, {\"mean_Valence\": \"1.5\", \"row_count\": 13}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 21.19}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..760cf638a7215b52f58f9eac36d9810a870f1653 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/run_manifest.json @@ -0,0 +1,87 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:35:23.576659+00:00", + "ended_at": "2026-05-19T15:35:36.568361+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_c8a17082a03f0f1b", + "problem_id": "v2p_n5_498ba405778bc46c", + "dataset_id": "n5", + "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=mean_Valence.", + "bindings": { + "group_col": "mean_Valence", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.883504, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_c8a17082a03f0f1b.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_c8a17082a03f0f1b", + "api_calls": 0, + "input_tokens": 25547, + "cached_input_tokens": 24960, + "output_tokens": 456, + "total_tokens": 26003, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12952.34, + "sql_execution_elapsed_ms_total": 21.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7f2cd0579a7297c3bb695ad1710a1b039166da9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:35:36.544987+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12952.34, "started_at": "2026-05-19T15:35:23.591828+00:00", "ended_at": "2026-05-19T15:35:36.544200+00:00", "prompt_metrics": {"chars": 44719, "bytes_utf8": 44719, "lines": 1078, "estimated_tokens": null}, "response_metrics": {"chars": 282, "bytes_utf8": 282, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25547, "cached_input_tokens": 24960, "output_tokens": 456, "reasoning_output_tokens": 374}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"mean_Valence\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n5\\\"\\nGROUP BY \\\"mean_Valence\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned Grouped Count by Category template with \\\"mean_Valence\\\" as the grouping column.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3c796ed24b36f32cbe8d557c72178bb76ca6b316 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_c8a17082a03f0f1b", + "api_calls": 0, + "input_tokens": 25547, + "cached_input_tokens": 24960, + "output_tokens": 456, + "total_tokens": 26003, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12952.34, + "sql_execution_elapsed_ms_total": 21.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_c8a17082a03f0f1b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..bc4166db4d03dbc86de44eaf8a103552db45bd6b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/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=entropy_Valence, measure_col=entropy_atomic_radius. +Result preview: [{"entropy_Valence": "1.34381032882198", "range_atomic_radius": "103", "total_measure": 1.32573703141644, "share_within_group": 100.00000000000001}, {"entropy_Valence": "1.37622660434455", "range_atomic_radius": "113", "total_measure": 1.34102330808368, "share_within_group": 100.00000000000001}, {"entropy_Valence": "1.44518587894808", "range_atomic_radius": "142", "total_measure": 2.95644099327538, "share_within_group": 100.00000000000001}, {"entropy_Valence": "1.59026960110653", "range_atomic_radius": "152", "total_measure": 3.30976329270358, "share_within_group": 100.00000000000001}, {"entropy_Valence": "1.63970635741561", "range_atomic_radius": "153", "total_measure": 3.30549750959186, "share_within_group": 100.00000000000001}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f0e43b7080967e4a2139d136fa3e3b0a197a9bfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/generated_sql.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_cab08fc4a80fffd1 +-- problem_id: v2p_n5_e5ba98994f816cfc +-- realization_mode: agent +-- source_kind: agent +SELECT + "entropy_Valence", + "range_atomic_radius", + SUM(CAST("entropy_atomic_radius" AS REAL)) AS "total_measure", + SUM(CAST("entropy_atomic_radius" AS REAL)) * 100.0 / SUM(SUM(CAST("entropy_atomic_radius" AS REAL))) OVER (PARTITION BY "entropy_Valence") AS "share_within_group" +FROM "n5" +WHERE "entropy_Valence" IS NOT NULL + AND "range_atomic_radius" IS NOT NULL + AND "entropy_atomic_radius" IS NOT NULL + AND "entropy_Valence" <> '' + AND "range_atomic_radius" <> '' + AND "entropy_atomic_radius" <> '' +GROUP BY "entropy_Valence", "range_atomic_radius" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..10b8b3e5dbb7991ab2ccde0ae7dfd6257ae2beed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/query_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 \"entropy_Valence\",\n \"range_atomic_radius\",\n SUM(CAST(\"entropy_atomic_radius\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"entropy_atomic_radius\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"entropy_atomic_radius\" AS REAL))) OVER (PARTITION BY \"entropy_Valence\") AS \"share_within_group\"\nFROM \"n5\"\nWHERE \"entropy_Valence\" IS NOT NULL\n AND \"range_atomic_radius\" IS NOT NULL\n AND \"entropy_atomic_radius\" IS NOT NULL\n AND \"entropy_Valence\" <> ''\n AND \"range_atomic_radius\" <> ''\n AND \"entropy_atomic_radius\" <> ''\nGROUP BY \"entropy_Valence\", \"range_atomic_radius\"\nORDER BY \"share_within_group\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"entropy_Valence\\\",\\n \\\"range_atomic_radius\\\",\\n SUM(CAST(\\\"entropy_atomic_radius\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"entropy_atomic_radius\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"entropy_atomic_radius\\\" AS REAL))) OVER (PARTITION BY \\\"entropy_Valence\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"entropy_Valence\\\" IS NOT NULL\\n AND \\\"range_atomic_radius\\\" IS NOT NULL\\n AND \\\"entropy_atomic_radius\\\" IS NOT NULL\\n AND \\\"entropy_Valence\\\" <> ''\\n AND \\\"range_atomic_radius\\\" <> ''\\n AND \\\"entropy_atomic_radius\\\" <> ''\\nGROUP BY \\\"entropy_Valence\\\", \\\"range_atomic_radius\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\", \"columns\": [\"entropy_Valence\", \"range_atomic_radius\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"entropy_Valence\": \"1.34381032882198\", \"range_atomic_radius\": \"103\", \"total_measure\": 1.32573703141644, \"share_within_group\": 100.00000000000001}, {\"entropy_Valence\": \"1.37622660434455\", \"range_atomic_radius\": \"113\", \"total_measure\": 1.34102330808368, \"share_within_group\": 100.00000000000001}, {\"entropy_Valence\": \"1.44518587894808\", \"range_atomic_radius\": \"142\", \"total_measure\": 2.95644099327538, \"share_within_group\": 100.00000000000001}, {\"entropy_Valence\": \"1.59026960110653\", \"range_atomic_radius\": \"152\", \"total_measure\": 3.30976329270358, \"share_within_group\": 100.00000000000001}, {\"entropy_Valence\": \"1.63970635741561\", \"range_atomic_radius\": \"153\", \"total_measure\": 3.30549750959186, \"share_within_group\": 100.00000000000001}, {\"entropy_Valence\": \"1.64184497889735\", \"range_atomic_radius\": \"146\", \"total_measure\": 11.820253361244092, \"share_within_group\": 100.00000000000001}, {\"entropy_Valence\": \"1.64437664389834\", \"range_atomic_radius\": \"185\", \"total_measure\": 3.42284786504548, \"share_within_group\": 100.00000000000001}, {\"entropy_Valence\": \"1.66237695919282\", \"range_atomic_radius\": \"164\", \"total_measure\": 41.00999807210014, \"share_within_group\": 100.00000000000001}, {\"entropy_Valence\": \"1.7354337715853\", \"range_atomic_radius\": \"199\", \"total_measure\": 11.85793127186101, \"share_within_group\": 100.00000000000001}, {\"entropy_Valence\": \"1.8193215718597\", \"range_atomic_radius\": \"171\", \"total_measure\": 5.591354301489931, \"share_within_group\": 100.00000000000001}, {\"entropy_Valence\": \"1.83601155216837\", \"range_atomic_radius\": \"171\", \"total_measure\": 20.69091231945558, \"share_within_group\": 100.00000000000001}, {\"entropy_Valence\": \"1.86041901078138\", \"range_atomic_radius\": \"170\", \"total_measure\": 23.655127919022732, \"share_within_group\": 100.00000000000001}, {\"entropy_Valence\": \"1.92540816508607\", \"range_atomic_radius\": \"205\", \"total_measure\": 13.10042362467755, \"share_within_group\": 100.00000000000001}, {\"entropy_Valence\": \"1.98231843630082\", \"range_atomic_radius\": \"205\", \"total_measure\": 6.0159971262687595, \"share_within_group\": 100.00000000000001}, {\"entropy_Valence\": \"0.529706199057654\", \"range_atomic_radius\": \"76\", \"total_measure\": 6.607059326659311, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"0.801818552543337\", \"range_atomic_radius\": \"195\", \"total_measure\": 0.941882918355879, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"0.959614793912049\", \"range_atomic_radius\": \"97\", \"total_measure\": 1.06611060074822, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"0.964962923007428\", \"range_atomic_radius\": \"20\", \"total_measure\": 1.09721624055324, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.04375703633141\", \"range_atomic_radius\": \"52\", \"total_measure\": 1.08981711280286, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.0852280400722\", \"range_atomic_radius\": \"12\", \"total_measure\": 2.19649816482244, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.14905969697062\", \"range_atomic_radius\": \"150\", \"total_measure\": 2.42560320519138, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.15374194270109\", \"range_atomic_radius\": \"231\", \"total_measure\": 5.10545520457152, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.16828245017656\", \"range_atomic_radius\": \"129\", \"total_measure\": 1.34987657219453, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.19734013399678\", \"range_atomic_radius\": \"101\", \"total_measure\": 11.38618568566161, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.20479330969478\", \"range_atomic_radius\": \"156\", \"total_measure\": 1.32355552169461, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.2130075659799\", \"range_atomic_radius\": \"142\", \"total_measure\": 51.4470491263638, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.23514465153267\", \"range_atomic_radius\": \"189\", \"total_measure\": 4.90302546331308, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.2366848691405\", \"range_atomic_radius\": \"110\", \"total_measure\": 1.35408431333891, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.24225504551409\", \"range_atomic_radius\": \"78\", \"total_measure\": 2.70914224502366, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.25409946524978\", \"range_atomic_radius\": \"113\", \"total_measure\": 1.33878930569762, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.2636544318821\", \"range_atomic_radius\": \"94\", \"total_measure\": 4.10089402307694, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.27002786111697\", \"range_atomic_radius\": \"97\", \"total_measure\": 10.44678207303824, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.27118148026058\", \"range_atomic_radius\": \"118\", \"total_measure\": 2.60945399094814, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.2914167691452\", \"range_atomic_radius\": \"155\", \"total_measure\": 6.5723771141834, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.3163022657966\", \"range_atomic_radius\": \"95\", \"total_measure\": 3.9589845603301197, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.33867187832215\", \"range_atomic_radius\": \"145\", \"total_measure\": 21.948664203046032, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.33979428028558\", \"range_atomic_radius\": \"18\", \"total_measure\": 2.77030212707842, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.38128852666744\", \"range_atomic_radius\": \"73\", \"total_measure\": 2.74390853704432, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.38336986774326\", \"range_atomic_radius\": \"21\", \"total_measure\": 4.15590225937836, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.42412991734677\", \"range_atomic_radius\": \"152\", \"total_measure\": 1.46554797316878, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.46813993901621\", \"range_atomic_radius\": \"142\", \"total_measure\": 5.92929559401516, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.48282337576807\", \"range_atomic_radius\": \"205\", \"total_measure\": 1.50632534647575, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.48842875366778\", \"range_atomic_radius\": \"199\", \"total_measure\": 1.50922291616573, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.51570795208571\", \"range_atomic_radius\": \"195\", \"total_measure\": 8.70949914719082, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.52951894919827\", \"range_atomic_radius\": \"171\", \"total_measure\": 15.159003284913899, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.53414146394837\", \"range_atomic_radius\": \"205\", \"total_measure\": 7.50700718640163, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.54183273828636\", \"range_atomic_radius\": \"145\", \"total_measure\": 7.64221150897848, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.55958115625988\", \"range_atomic_radius\": \"199\", \"total_measure\": 3.0208971045196, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.56204405302991\", \"range_atomic_radius\": \"146\", \"total_measure\": 1.55833239803298, \"share_within_group\": 100.0}, {\"entropy_Valence\": \"1.56502656465832\", \"range_atomic_radius\": \"164\", \"total_measure\": 9.08376361529184, \"share_within_group\": 100.0}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 33.95}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..fb866283ad7c3056720e10ca8f4cdb83306f1346 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:37:02.467267+00:00", + "ended_at": "2026-05-19T15:37:25.126907+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_cab08fc4a80fffd1", + "problem_id": "v2p_n5_e5ba98994f816cfc", + "dataset_id": "n5", + "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=entropy_Valence, measure_col=entropy_atomic_radius.", + "bindings": { + "group_col": "entropy_Valence", + "measure_col": "entropy_atomic_radius", + "item_col": "range_atomic_radius", + "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": 1.421327, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_cab08fc4a80fffd1.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_cab08fc4a80fffd1", + "api_calls": 0, + "input_tokens": 25696, + "cached_input_tokens": 12032, + "output_tokens": 1051, + "total_tokens": 26747, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22612.72, + "sql_execution_elapsed_ms_total": 33.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bd2cd0fbd416ec782b2182d518b9f04dac4b0e78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:37:25.090912+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 22612.72, "started_at": "2026-05-19T15:37:02.477291+00:00", "ended_at": "2026-05-19T15:37:25.090036+00:00", "prompt_metrics": {"chars": 45264, "bytes_utf8": 45264, "lines": 1082, "estimated_tokens": null}, "response_metrics": {"chars": 945, "bytes_utf8": 945, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25696, "cached_input_tokens": 12032, "output_tokens": 1051, "reasoning_output_tokens": 795}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"entropy_Valence\\\",\\n \\\"range_atomic_radius\\\",\\n SUM(CAST(\\\"entropy_atomic_radius\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"entropy_atomic_radius\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"entropy_atomic_radius\\\" AS REAL))) OVER (PARTITION BY \\\"entropy_Valence\\\") AS \\\"share_within_group\\\"\\nFROM \\\"n5\\\"\\nWHERE \\\"entropy_Valence\\\" IS NOT NULL\\n AND \\\"range_atomic_radius\\\" IS NOT NULL\\n AND \\\"entropy_atomic_radius\\\" IS NOT NULL\\n AND \\\"entropy_Valence\\\" <> ''\\n AND \\\"range_atomic_radius\\\" <> ''\\n AND \\\"entropy_atomic_radius\\\" <> ''\\nGROUP BY \\\"entropy_Valence\\\", \\\"range_atomic_radius\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Uses the planned within-group share template with group_col=\\\"entropy_Valence\\\", item_col=\\\"range_atomic_radius\\\", and measure_col=\\\"entropy_atomic_radius\\\"; measure values are cast from TEXT to REAL and NULL/empty rows are excluded.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e1642cc694cb9e99107d520d066343981612b444 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_cab08fc4a80fffd1", + "api_calls": 0, + "input_tokens": 25696, + "cached_input_tokens": 12032, + "output_tokens": 1051, + "total_tokens": 26747, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22612.72, + "sql_execution_elapsed_ms_total": 33.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cab08fc4a80fffd1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..ded2d0deecabc8b62007269a68e4f1503360ca1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/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=number_of_elements, condition_col=wtd_entropy_Valence. +Result preview: [{"number_of_elements": "4", "condition_ratio": 0.0}, {"number_of_elements": "1", "condition_ratio": null}, {"number_of_elements": "2", "condition_ratio": null}, {"number_of_elements": "3", "condition_ratio": null}, {"number_of_elements": "5", "condition_ratio": null}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..e1edb2090e882adafc92a0c4d921f38c180a2ee9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_cb94e7f4d2369875 +-- problem_id: v2p_n5_13f4d2c9bf4d410e +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "number_of_elements", + SUM(CASE WHEN CAST("wtd_entropy_Valence" AS REAL) = 1.24943039324213 THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN CAST("wtd_entropy_Valence" AS REAL) = 1.09604328066818 THEN 1 ELSE 0 END) AS denominator_count + FROM "n5" + GROUP BY "number_of_elements" +) +SELECT + "number_of_elements", + 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_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c5b837a93e8d87ec9cadba3caf3df686b9a9d998 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT\n \"number_of_elements\",\n SUM(CASE WHEN CAST(\"wtd_entropy_Valence\" AS REAL) = 1.24943039324213 THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN CAST(\"wtd_entropy_Valence\" AS REAL) = 1.09604328066818 THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n5\"\n GROUP BY \"number_of_elements\"\n)\nSELECT\n \"number_of_elements\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"number_of_elements\\\",\\n SUM(CASE WHEN CAST(\\\"wtd_entropy_Valence\\\" AS REAL) = 1.24943039324213 THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN CAST(\\\"wtd_entropy_Valence\\\" AS REAL) = 1.09604328066818 THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n5\\\"\\n GROUP BY \\\"number_of_elements\\\"\\n)\\nSELECT\\n \\\"number_of_elements\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"number_of_elements\", \"condition_ratio\"], \"rows\": [{\"number_of_elements\": \"4\", \"condition_ratio\": 0.0}, {\"number_of_elements\": \"1\", \"condition_ratio\": null}, {\"number_of_elements\": \"2\", \"condition_ratio\": null}, {\"number_of_elements\": \"3\", \"condition_ratio\": null}, {\"number_of_elements\": \"5\", \"condition_ratio\": null}, {\"number_of_elements\": \"6\", \"condition_ratio\": null}, {\"number_of_elements\": \"7\", \"condition_ratio\": null}, {\"number_of_elements\": \"8\", \"condition_ratio\": null}, {\"number_of_elements\": \"9\", \"condition_ratio\": null}], \"row_count_returned\": 9, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 33.27}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..50139d433db031d9538851f18c1fb164b5351237 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:47:33.419213+00:00", + "ended_at": "2026-05-19T15:47:51.120428+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_cb94e7f4d2369875", + "problem_id": "v2p_n5_13f4d2c9bf4d410e", + "dataset_id": "n5", + "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=number_of_elements, condition_col=wtd_entropy_Valence.", + "bindings": { + "group_col": "number_of_elements", + "condition_col": "wtd_entropy_Valence", + "condition_value": "1.24943039324213", + "positive_value": "1.24943039324213", + "negative_value": "1.09604328066818", + "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": 112.106667, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_cb94e7f4d2369875.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_cb94e7f4d2369875", + "api_calls": 0, + "input_tokens": 25806, + "cached_input_tokens": 24960, + "output_tokens": 747, + "total_tokens": 26553, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17644.06, + "sql_execution_elapsed_ms_total": 33.27, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..31134e0548b9fc1ce9ee4e3d6f70877262662b13 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:51.085211+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 17644.06, "started_at": "2026-05-19T15:47:33.439771+00:00", "ended_at": "2026-05-19T15:47:51.083883+00:00", "prompt_metrics": {"chars": 45696, "bytes_utf8": 45696, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 868, "bytes_utf8": 868, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25806, "cached_input_tokens": 24960, "output_tokens": 747, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"number_of_elements\\\",\\n SUM(CASE WHEN CAST(\\\"wtd_entropy_Valence\\\" AS REAL) = 1.24943039324213 THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN CAST(\\\"wtd_entropy_Valence\\\" AS REAL) = 1.09604328066818 THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n5\\\"\\n GROUP BY \\\"number_of_elements\\\"\\n)\\nSELECT\\n \\\"number_of_elements\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applies the planned grouped ratio template: group by \\\"number_of_elements\\\" and compute the ratio of rows where \\\"wtd_entropy_Valence\\\" equals the bound positive value versus the bound negative value. CAST to REAL is used because the schema stores these fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..134e2dc25b60f9202ed501ff603f325b8265af65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_cb94e7f4d2369875", + "api_calls": 0, + "input_tokens": 25806, + "cached_input_tokens": 24960, + "output_tokens": 747, + "total_tokens": 26553, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17644.06, + "sql_execution_elapsed_ms_total": 33.27, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cb94e7f4d2369875/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3d0bac0aa3a3ea12938e059d7bee109264c3fda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/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=gmean_Valence, condition_col=wtd_entropy_Valence. +Result preview: [{"gmean_Valence": "2.63214802590498", "condition_ratio": 0.0}, {"gmean_Valence": "1", "condition_ratio": null}, {"gmean_Valence": "1.18920711500272", "condition_ratio": null}, {"gmean_Valence": "1.25992104989487", "condition_ratio": null}, {"gmean_Valence": "1.41421356237309", "condition_ratio": null}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..73a0133a107dc8b5cc8e071b31e6d63473a3474b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_cc6be07883ea4736 +-- problem_id: v2p_n5_fe81a81f4d6e752a +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "gmean_Valence", + SUM(CASE WHEN "wtd_entropy_Valence" = '1.24943039324213' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "wtd_entropy_Valence" = '1.09604328066818' THEN 1 ELSE 0 END) AS denominator_count + FROM "n5" + GROUP BY "gmean_Valence" +) +SELECT "gmean_Valence", + 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_c/n5/artifacts/v2q_n5_cc6be07883ea4736/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fa64562942b63f0f42861f0d84b1d5655819d67e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/query_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 \"gmean_Valence\",\n SUM(CASE WHEN \"wtd_entropy_Valence\" = '1.24943039324213' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"wtd_entropy_Valence\" = '1.09604328066818' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n5\"\n GROUP BY \"gmean_Valence\"\n)\nSELECT \"gmean_Valence\",\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 \\\"gmean_Valence\\\",\\n SUM(CASE WHEN \\\"wtd_entropy_Valence\\\" = '1.24943039324213' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"wtd_entropy_Valence\\\" = '1.09604328066818' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n5\\\"\\n GROUP BY \\\"gmean_Valence\\\"\\n)\\nSELECT \\\"gmean_Valence\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"gmean_Valence\", \"condition_ratio\"], \"rows\": [{\"gmean_Valence\": \"2.63214802590498\", \"condition_ratio\": 0.0}, {\"gmean_Valence\": \"1\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.18920711500272\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.25992104989487\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.41421356237309\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.56508458007329\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.5874010519682\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.64375182951723\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.68179283050743\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.73205080756888\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.74110112659225\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.77827941003892\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.78179743628068\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.81712059283214\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.82056420302608\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.8612097182042\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.8881750225898\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.90636858599387\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.91947121957741\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.92935725992062\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.96798967126543\", \"condition_ratio\": null}, {\"gmean_Valence\": \"1.97435048583482\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.03393700979443\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.03964890265551\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.04767251107922\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.05657118859578\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.05976714390712\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.07578163111243\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.09127910518255\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.10397901101729\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.11474252688113\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.11693286302546\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.1192680453341\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.13982638786733\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.15443469003188\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.1689435423954\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.21336383940064\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.22090615485233\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.23606797749979\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.24492409661875\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.2456485239871\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.26793315526605\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.27970456209519\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.28942848510666\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.29440538087975\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.29739670999407\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.31638768648693\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.3284355309218\", \"condition_ratio\": null}, {\"gmean_Valence\": \"2.32998610150143\", \"condition_ratio\": null}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 27.23}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..72e48d3a6ee41ce4e85cda45b5339197189d1248 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:45:40.663226+00:00", + "ended_at": "2026-05-19T15:46:17.732132+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_cc6be07883ea4736", + "problem_id": "v2p_n5_fe81a81f4d6e752a", + "dataset_id": "n5", + "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=gmean_Valence, condition_col=wtd_entropy_Valence.", + "bindings": { + "group_col": "gmean_Valence", + "condition_col": "wtd_entropy_Valence", + "condition_value": "1.24943039324213", + "positive_value": "1.24943039324213", + "negative_value": "1.09604328066818", + "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": 2066.922846, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_cc6be07883ea4736.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_cc6be07883ea4736", + "api_calls": 0, + "input_tokens": 25810, + "cached_input_tokens": 24960, + "output_tokens": 730, + "total_tokens": 26540, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 37026.86, + "sql_execution_elapsed_ms_total": 27.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7b04328ae1e94adea778fbb88f0f652ebfbc06fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:46:17.701997+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 37026.86, "started_at": "2026-05-19T15:45:40.673916+00:00", "ended_at": "2026-05-19T15:46:17.700806+00:00", "prompt_metrics": {"chars": 45687, "bytes_utf8": 45687, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 748, "bytes_utf8": 748, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25810, "cached_input_tokens": 24960, "output_tokens": 730, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"gmean_Valence\\\",\\n SUM(CASE WHEN \\\"wtd_entropy_Valence\\\" = '1.24943039324213' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"wtd_entropy_Valence\\\" = '1.09604328066818' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n5\\\"\\n GROUP BY \\\"gmean_Valence\\\"\\n)\\nSELECT \\\"gmean_Valence\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the requested grouped-ratio template with \\\"gmean_Valence\\\" as the group column and exact TEXT comparisons on \\\"wtd_entropy_Valence\\\" because the SQLite schema stores these fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3901ff2f8d7c046265ffa9573085151f30be265a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_cc6be07883ea4736", + "api_calls": 0, + "input_tokens": 25810, + "cached_input_tokens": 24960, + "output_tokens": 730, + "total_tokens": 26540, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 37026.86, + "sql_execution_elapsed_ms_total": 27.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cc6be07883ea4736/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d4ebd626db51c77f9427d1ccf17c1282e807a7cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/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=range_atomic_radius, group_col_2=mean_Valence. +Result preview: [{"range_atomic_radius": "171", "mean_Valence": "2.2", "row_count": 124}, {"range_atomic_radius": "205", "mean_Valence": "2.5", "row_count": 106}, {"range_atomic_radius": "33", "mean_Valence": "4.25", "row_count": 59}, {"range_atomic_radius": "33", "mean_Valence": "4.33333333333333", "row_count": 46}, {"range_atomic_radius": "171", "mean_Valence": "2.25", "row_count": 43}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..1d3532a1931a8e04d4b8a76eda97ab22dbea96b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/generated_sql.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_cdc3959d43e32e14 +-- problem_id: v2p_n5_c2859f3cac45e364 +-- realization_mode: agent +-- source_kind: agent +SELECT "range_atomic_radius", "mean_Valence", COUNT(*) AS row_count +FROM "n5" +WHERE CAST("wtd_range_ElectronAffinity" AS REAL) >= 81.350571 +GROUP BY "range_atomic_radius", "mean_Valence" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4d88d0a4aa1185f634921712698c9f0bab898434 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/query_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 \"range_atomic_radius\", \"mean_Valence\", COUNT(*) AS row_count\nFROM \"n5\"\nWHERE CAST(\"wtd_range_ElectronAffinity\" AS REAL) >= 81.350571\nGROUP BY \"range_atomic_radius\", \"mean_Valence\"\nORDER BY row_count DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"range_atomic_radius\\\", \\\"mean_Valence\\\", COUNT(*) AS row_count\\nFROM \\\"n5\\\"\\nWHERE CAST(\\\"wtd_range_ElectronAffinity\\\" AS REAL) >= 81.350571\\nGROUP BY \\\"range_atomic_radius\\\", \\\"mean_Valence\\\"\\nORDER BY row_count DESC;\", \"columns\": [\"range_atomic_radius\", \"mean_Valence\", \"row_count\"], \"rows\": [{\"range_atomic_radius\": \"171\", \"mean_Valence\": \"2.2\", \"row_count\": 124}, {\"range_atomic_radius\": \"205\", \"mean_Valence\": \"2.5\", \"row_count\": 106}, {\"range_atomic_radius\": \"33\", \"mean_Valence\": \"4.25\", \"row_count\": 59}, {\"range_atomic_radius\": \"33\", \"mean_Valence\": \"4.33333333333333\", \"row_count\": 46}, {\"range_atomic_radius\": \"171\", \"mean_Valence\": \"2.25\", \"row_count\": 43}, {\"range_atomic_radius\": \"146\", \"mean_Valence\": \"2.4\", \"row_count\": 37}, {\"range_atomic_radius\": \"171\", \"mean_Valence\": \"2.4\", \"row_count\": 37}, {\"range_atomic_radius\": \"171\", \"mean_Valence\": \"2.6\", \"row_count\": 36}, {\"range_atomic_radius\": \"103\", \"mean_Valence\": \"5.33333333333333\", \"row_count\": 35}, {\"range_atomic_radius\": \"205\", \"mean_Valence\": \"2.25\", \"row_count\": 31}, {\"range_atomic_radius\": \"95\", \"mean_Valence\": \"5.5\", \"row_count\": 30}, {\"range_atomic_radius\": \"53\", \"mean_Valence\": \"4.5\", \"row_count\": 27}, {\"range_atomic_radius\": \"217\", \"mean_Valence\": \"3\", \"row_count\": 26}, {\"range_atomic_radius\": \"57\", \"mean_Valence\": \"6\", \"row_count\": 25}, {\"range_atomic_radius\": \"142\", \"mean_Valence\": \"3\", \"row_count\": 24}, {\"range_atomic_radius\": \"103\", \"mean_Valence\": \"4.66666666666667\", \"row_count\": 23}, {\"range_atomic_radius\": \"198\", \"mean_Valence\": \"2.5\", \"row_count\": 23}, {\"range_atomic_radius\": \"205\", \"mean_Valence\": \"2.2\", \"row_count\": 23}, {\"range_atomic_radius\": \"150\", \"mean_Valence\": \"3.25\", \"row_count\": 21}, {\"range_atomic_radius\": \"171\", \"mean_Valence\": \"2.66666666666667\", \"row_count\": 21}, {\"range_atomic_radius\": \"176\", \"mean_Valence\": \"2.5\", \"row_count\": 21}, {\"range_atomic_radius\": \"205\", \"mean_Valence\": \"2.33333333333333\", \"row_count\": 21}, {\"range_atomic_radius\": \"205\", \"mean_Valence\": \"2.8\", \"row_count\": 21}, {\"range_atomic_radius\": \"73\", \"mean_Valence\": \"4\", \"row_count\": 21}, {\"range_atomic_radius\": \"147\", \"mean_Valence\": \"2.25\", \"row_count\": 20}, {\"range_atomic_radius\": \"183\", \"mean_Valence\": \"3.16666666666667\", \"row_count\": 20}, {\"range_atomic_radius\": \"185\", \"mean_Valence\": \"3.16666666666667\", \"row_count\": 19}, {\"range_atomic_radius\": \"195\", \"mean_Valence\": \"3\", \"row_count\": 19}, {\"range_atomic_radius\": \"145\", \"mean_Valence\": \"3.66666666666667\", \"row_count\": 18}, {\"range_atomic_radius\": \"158\", \"mean_Valence\": \"2.6\", \"row_count\": 18}, {\"range_atomic_radius\": \"171\", \"mean_Valence\": \"3.16666666666667\", \"row_count\": 18}, {\"range_atomic_radius\": \"205\", \"mean_Valence\": \"3.25\", \"row_count\": 18}, {\"range_atomic_radius\": \"171\", \"mean_Valence\": \"3\", \"row_count\": 17}, {\"range_atomic_radius\": \"18\", \"mean_Valence\": \"4\", \"row_count\": 15}, {\"range_atomic_radius\": \"199\", \"mean_Valence\": \"3.14285714285714\", \"row_count\": 15}, {\"range_atomic_radius\": \"231\", \"mean_Valence\": \"2\", \"row_count\": 15}, {\"range_atomic_radius\": \"31\", \"mean_Valence\": \"5\", \"row_count\": 15}, {\"range_atomic_radius\": \"93\", \"mean_Valence\": \"4\", \"row_count\": 15}, {\"range_atomic_radius\": \"205\", \"mean_Valence\": \"2.6\", \"row_count\": 13}, {\"range_atomic_radius\": \"56\", \"mean_Valence\": \"3.66666666666667\", \"row_count\": 13}, {\"range_atomic_radius\": \"113\", \"mean_Valence\": \"4.33333333333333\", \"row_count\": 12}, {\"range_atomic_radius\": \"144\", \"mean_Valence\": \"4.75\", \"row_count\": 12}, {\"range_atomic_radius\": \"7\", \"mean_Valence\": \"6\", \"row_count\": 12}, {\"range_atomic_radius\": \"74\", \"mean_Valence\": \"4.66666666666667\", \"row_count\": 12}, {\"range_atomic_radius\": \"77\", \"mean_Valence\": \"6\", \"row_count\": 12}, {\"range_atomic_radius\": \"111\", \"mean_Valence\": \"5.5\", \"row_count\": 11}, {\"range_atomic_radius\": \"113\", \"mean_Valence\": \"5.5\", \"row_count\": 11}, {\"range_atomic_radius\": \"127\", \"mean_Valence\": \"3\", \"row_count\": 11}, {\"range_atomic_radius\": \"145\", \"mean_Valence\": \"3\", \"row_count\": 11}, {\"range_atomic_radius\": \"145\", \"mean_Valence\": \"4\", \"row_count\": 11}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 17.21}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..06d32ee9597d9e5d00a8d88990a08a0608df595e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:48:11.464683+00:00", + "ended_at": "2026-05-19T15:48:23.997922+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_cdc3959d43e32e14", + "problem_id": "v2p_n5_c2859f3cac45e364", + "dataset_id": "n5", + "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=range_atomic_radius, group_col_2=mean_Valence.", + "bindings": { + "group_col": "range_atomic_radius", + "group_col_2": "mean_Valence", + "predicate_col": "wtd_range_ElectronAffinity", + "predicate_op": ">=", + "predicate_value": 81.350571, + "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": 81.350571, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "notes": [ + "default_facets=conditional_interaction_hotspots", + "template_selection_mode=rule", + "problem_index_within_template=1", + "sql_variant_index=1/1", + "binding_index=48" + ], + "template_selection_mode": "rule", + "selected_template_rank": 5, + "problem_index_within_template": 1, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_cdc3959d43e32e14.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_cdc3959d43e32e14", + "api_calls": 0, + "input_tokens": 25676, + "cached_input_tokens": 24960, + "output_tokens": 578, + "total_tokens": 26254, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12500.96, + "sql_execution_elapsed_ms_total": 17.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..53787d0936783a2d96147130b4eeb7e2e980cccf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:23.978808+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12500.96, "started_at": "2026-05-19T15:48:11.476892+00:00", "ended_at": "2026-05-19T15:48:23.977879+00:00", "prompt_metrics": {"chars": 45166, "bytes_utf8": 45166, "lines": 1084, "estimated_tokens": null}, "response_metrics": {"chars": 515, "bytes_utf8": 515, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25676, "cached_input_tokens": 24960, "output_tokens": 578, "reasoning_output_tokens": 446}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"range_atomic_radius\\\", \\\"mean_Valence\\\", COUNT(*) AS row_count\\nFROM \\\"n5\\\"\\nWHERE CAST(\\\"wtd_range_ElectronAffinity\\\" AS REAL) >= 81.350571\\nGROUP BY \\\"range_atomic_radius\\\", \\\"mean_Valence\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Instantiated the planned filtered two-dimensional group count template with the provided bindings. CAST was added on \\\"wtd_range_ElectronAffinity\\\" because the schema stores values as TEXT, but the predicate is numeric.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9164c3ca3b315192df2a149d01742604c4b5be84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_cdc3959d43e32e14", + "api_calls": 0, + "input_tokens": 25676, + "cached_input_tokens": 24960, + "output_tokens": 578, + "total_tokens": 26254, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12500.96, + "sql_execution_elapsed_ms_total": 17.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_cdc3959d43e32e14/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d115030aa6ee8c4b/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d115030aa6ee8c4b/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..208f28ca22d48860614a41747efb431d21ddd697 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d115030aa6ee8c4b/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:09:51.858179+00:00", + "ended_at": "2026-05-19T16:09:58.742469+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_d115030aa6ee8c4b", + "problem_id": "v2p_n5_683fa6a8a9164d90", + "dataset_id": "n5", + "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=range_Valence, condition_col=range_Valence.", + "bindings": { + "group_col": "range_Valence", + "condition_col": "range_Valence", + "condition_value": "2", + "positive_value": "2", + "negative_value": "1", + "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": 112.133333, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=conditional_rate_shift", + "template_selection_mode=rule", + "problem_index_within_template=8", + "sql_variant_index=1/2", + "binding_index=103" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 8, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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_c/n5/artifacts/v2q_n5_d115030aa6ee8c4b/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d115030aa6ee8c4b/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..74f012ba6b136abc25fd5abaadc8cb0585ca9241 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d115030aa6ee8c4b/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:54.866405+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": 2996.24, "started_at": "2026-05-19T16:09:51.869323+00:00", "ended_at": "2026-05-19T16:09:54.865596+00:00", "prompt_metrics": {"chars": 45059, "bytes_utf8": 45059, "lines": 1083, "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\":\"019e4100-310c-7e10-bc39-1dde22c1efd2\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:58.742381+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": 2872.34, "started_at": "2026-05-19T16:09:55.869106+00:00", "ended_at": "2026-05-19T16:09:58.741496+00:00", "prompt_metrics": {"chars": 45059, "bytes_utf8": 45059, "lines": 1083, "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\":\"019e4100-4098-7970-adcb-0990d55d07e4\"}\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_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ed879966041e32c38146b70775cf97522813244 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/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=range_atomic_radius, condition_col=range_Valence. +Result preview: [{"range_atomic_radius": "142", "condition_ratio": 114.0}, {"range_atomic_radius": "62", "condition_ratio": 88.0}, {"range_atomic_radius": "80", "condition_ratio": 68.66666666666667}, {"range_atomic_radius": "83", "condition_ratio": 20.0}, {"range_atomic_radius": "123", "condition_ratio": 14.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..3ea15e9a6407a38edb087a2cfe41f57c1d6a87ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/generated_sql.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_d32f174bafa8ba65 +-- problem_id: v2p_n5_e3e6c2b5c319e37e +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "range_atomic_radius", + SUM(CASE WHEN "range_Valence" = '2' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "range_Valence" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "n5" + GROUP BY "range_atomic_radius" +) +SELECT + "range_atomic_radius", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC +LIMIT 13; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..26edc59a28dcf94bb9ae3f3bd69d0586b25bd3e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT\n \"range_atomic_radius\",\n SUM(CASE WHEN \"range_Valence\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"range_Valence\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n5\"\n GROUP BY \"range_atomic_radius\"\n)\nSELECT\n \"range_atomic_radius\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC\nLIMIT 13;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"range_atomic_radius\\\",\\n SUM(CASE WHEN \\\"range_Valence\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"range_Valence\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n5\\\"\\n GROUP BY \\\"range_atomic_radius\\\"\\n)\\nSELECT\\n \\\"range_atomic_radius\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC\\nLIMIT 13;\", \"columns\": [\"range_atomic_radius\", \"condition_ratio\"], \"rows\": [{\"range_atomic_radius\": \"142\", \"condition_ratio\": 114.0}, {\"range_atomic_radius\": \"62\", \"condition_ratio\": 88.0}, {\"range_atomic_radius\": \"80\", \"condition_ratio\": 68.66666666666667}, {\"range_atomic_radius\": \"83\", \"condition_ratio\": 20.0}, {\"range_atomic_radius\": \"123\", \"condition_ratio\": 14.0}, {\"range_atomic_radius\": \"74\", \"condition_ratio\": 13.8}, {\"range_atomic_radius\": \"79\", \"condition_ratio\": 13.0}, {\"range_atomic_radius\": \"56\", \"condition_ratio\": 12.0}, {\"range_atomic_radius\": \"103\", \"condition_ratio\": 11.0}, {\"range_atomic_radius\": \"115\", \"condition_ratio\": 10.0}, {\"range_atomic_radius\": \"108\", \"condition_ratio\": 9.333333333333334}, {\"range_atomic_radius\": \"57\", \"condition_ratio\": 8.0}, {\"range_atomic_radius\": \"150\", \"condition_ratio\": 7.75}], \"row_count_returned\": 13, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 35.33}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f87b5226aa9147cdb55af5047529568629668258 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:47:51.121034+00:00", + "ended_at": "2026-05-19T15:48:11.463866+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_d32f174bafa8ba65", + "problem_id": "v2p_n5_e3e6c2b5c319e37e", + "dataset_id": "n5", + "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=range_atomic_radius, condition_col=range_Valence.", + "bindings": { + "group_col": "range_atomic_radius", + "condition_col": "range_Valence", + "condition_value": "2", + "positive_value": "2", + "negative_value": "1", + "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": 58.753724, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_d32f174bafa8ba65.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_d32f174bafa8ba65", + "api_calls": 0, + "input_tokens": 25785, + "cached_input_tokens": 24960, + "output_tokens": 724, + "total_tokens": 26509, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20287.55, + "sql_execution_elapsed_ms_total": 35.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..faf3f2403f477ca39e0b68b3a23c5b239f6170b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:11.425540+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 20287.55, "started_at": "2026-05-19T15:47:51.136526+00:00", "ended_at": "2026-05-19T15:48:11.424113+00:00", "prompt_metrics": {"chars": 45639, "bytes_utf8": 45639, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 780, "bytes_utf8": 780, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25785, "cached_input_tokens": 24960, "output_tokens": 724, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"range_atomic_radius\\\",\\n SUM(CASE WHEN \\\"range_Valence\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"range_Valence\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n5\\\"\\n GROUP BY \\\"range_atomic_radius\\\"\\n)\\nSELECT\\n \\\"range_atomic_radius\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC\\nLIMIT 13;\",\"notes\":\"Applied the provided grouped ratio template with group_col=\\\"range_atomic_radius\\\" and condition_col=\\\"range_Valence\\\", using positive_value='2' and negative_value='1'. Kept the query SQLite-compatible and limited results to top_k=13.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9ddb31f79e129c3396673e52d8111302e93912b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_d32f174bafa8ba65", + "api_calls": 0, + "input_tokens": 25785, + "cached_input_tokens": 24960, + "output_tokens": 724, + "total_tokens": 26509, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20287.55, + "sql_execution_elapsed_ms_total": 35.33, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d32f174bafa8ba65/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f9beb18900460c72483212d25eccc6ca935cd34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/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=range_atomic_radius, group_col_2=std_Valence. +Result preview: [{"range_atomic_radius": 205.0, "std_Valence": 0.433012701892219, "row_count": 1114}, {"range_atomic_radius": 205.0, "std_Valence": 0.4, "row_count": 959}, {"range_atomic_radius": 205.0, "std_Valence": 0.8, "row_count": 677}, {"range_atomic_radius": 205.0, "std_Valence": 0.489897948556636, "row_count": 569}, {"range_atomic_radius": 205.0, "std_Valence": 0.763762615825973, "row_count": 263}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..b8b3de57ba2f905cfee7dbe24a0ada304570e830 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/generated_sql.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_d5e088c64c3bc4e1 +-- problem_id: v2p_n5_6a79e00f87676b59 +-- realization_mode: agent +-- source_kind: agent +SELECT + CAST("range_atomic_radius" AS REAL) AS "range_atomic_radius", + CAST("std_Valence" AS REAL) AS "std_Valence", + COUNT(*) AS "row_count" +FROM "n5" +WHERE CAST("wtd_mean_FusionHeat" AS REAL) >= 4.959538 +GROUP BY + CAST("range_atomic_radius" AS REAL), + CAST("std_Valence" AS REAL) +ORDER BY "row_count" DESC +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..180cbf098ae32931349a548964602cec848e7170 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/query_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\n CAST(\"range_atomic_radius\" AS REAL) AS \"range_atomic_radius\",\n CAST(\"std_Valence\" AS REAL) AS \"std_Valence\",\n COUNT(*) AS \"row_count\"\nFROM \"n5\"\nWHERE CAST(\"wtd_mean_FusionHeat\" AS REAL) >= 4.959538\nGROUP BY\n CAST(\"range_atomic_radius\" AS REAL),\n CAST(\"std_Valence\" AS REAL)\nORDER BY \"row_count\" DESC\nLIMIT 12;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT\\n CAST(\\\"range_atomic_radius\\\" AS REAL) AS \\\"range_atomic_radius\\\",\\n CAST(\\\"std_Valence\\\" AS REAL) AS \\\"std_Valence\\\",\\n COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n5\\\"\\nWHERE CAST(\\\"wtd_mean_FusionHeat\\\" AS REAL) >= 4.959538\\nGROUP BY\\n CAST(\\\"range_atomic_radius\\\" AS REAL),\\n CAST(\\\"std_Valence\\\" AS REAL)\\nORDER BY \\\"row_count\\\" DESC\\nLIMIT 12;\", \"columns\": [\"range_atomic_radius\", \"std_Valence\", \"row_count\"], \"rows\": [{\"range_atomic_radius\": 205.0, \"std_Valence\": 0.433012701892219, \"row_count\": 1114}, {\"range_atomic_radius\": 205.0, \"std_Valence\": 0.4, \"row_count\": 959}, {\"range_atomic_radius\": 205.0, \"std_Valence\": 0.8, \"row_count\": 677}, {\"range_atomic_radius\": 205.0, \"std_Valence\": 0.489897948556636, \"row_count\": 569}, {\"range_atomic_radius\": 205.0, \"std_Valence\": 0.763762615825973, \"row_count\": 263}, {\"range_atomic_radius\": 0.0, \"std_Valence\": 0.0, \"row_count\": 236}, {\"range_atomic_radius\": 205.0, \"std_Valence\": 0.471404520791032, \"row_count\": 201}, {\"range_atomic_radius\": 205.0, \"std_Valence\": 0.372677996249965, \"row_count\": 157}, {\"range_atomic_radius\": 171.0, \"std_Valence\": 1.10554159678513, \"row_count\": 150}, {\"range_atomic_radius\": 171.0, \"std_Valence\": 1.2, \"row_count\": 146}, {\"range_atomic_radius\": 171.0, \"std_Valence\": 1.21335164821342, \"row_count\": 127}, {\"range_atomic_radius\": 80.0, \"std_Valence\": 0.816496580927726, \"row_count\": 115}], \"row_count_returned\": 12, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 43.53}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2abda00b9aae924211f673b49830e839eb37283c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:49:06.543853+00:00", + "ended_at": "2026-05-19T15:49:29.546437+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_d5e088c64c3bc4e1", + "problem_id": "v2p_n5_6a79e00f87676b59", + "dataset_id": "n5", + "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=range_atomic_radius, group_col_2=std_Valence.", + "bindings": { + "group_col": "range_atomic_radius", + "group_col_2": "std_Valence", + "predicate_col": "wtd_mean_FusionHeat", + "predicate_op": ">=", + "predicate_value": 4.959538, + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 4.959538, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_d5e088c64c3bc4e1.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_d5e088c64c3bc4e1", + "api_calls": 0, + "input_tokens": 25676, + "cached_input_tokens": 12032, + "output_tokens": 1107, + "total_tokens": 26783, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22943.45, + "sql_execution_elapsed_ms_total": 43.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..becb74971fb48a7da45a2d32a908e336a7e368c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:49:29.500962+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 22943.45, "started_at": "2026-05-19T15:49:06.556195+00:00", "ended_at": "2026-05-19T15:49:29.499688+00:00", "prompt_metrics": {"chars": 45155, "bytes_utf8": 45155, "lines": 1084, "estimated_tokens": null}, "response_metrics": {"chars": 684, "bytes_utf8": 684, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25676, "cached_input_tokens": 12032, "output_tokens": 1107, "reasoning_output_tokens": 910}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT\\n CAST(\\\"range_atomic_radius\\\" AS REAL) AS \\\"range_atomic_radius\\\",\\n CAST(\\\"std_Valence\\\" AS REAL) AS \\\"std_Valence\\\",\\n COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n5\\\"\\nWHERE CAST(\\\"wtd_mean_FusionHeat\\\" AS REAL) >= 4.959538\\nGROUP BY\\n CAST(\\\"range_atomic_radius\\\" AS REAL),\\n CAST(\\\"std_Valence\\\" AS REAL)\\nORDER BY \\\"row_count\\\" DESC\\nLIMIT 12;\",\"notes\":\"Applied the planned filtered two-dimensional group count template using \\\"range_atomic_radius\\\" and \\\"std_Valence\\\" as grouping columns, filtered on \\\"wtd_mean_FusionHeat\\\" >= 4.959538. Numeric CASTs are used because the SQLite schema stores these fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d4e83bc0e00432ed081a4f1d867c997057b45ccb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_d5e088c64c3bc4e1", + "api_calls": 0, + "input_tokens": 25676, + "cached_input_tokens": 12032, + "output_tokens": 1107, + "total_tokens": 26783, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 22943.45, + "sql_execution_elapsed_ms_total": 43.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d5e088c64c3bc4e1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e5583dabe8b66da0e980c8177e37da47addaf64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/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=range_atomic_radius, group_col_2=entropy_Valence. +Result preview: [{"range_atomic_radius": "205", "entropy_Valence": "1.36892236074022", "row_count": 1126}, {"range_atomic_radius": "205", "entropy_Valence": "1.59416669911802", "row_count": 1100}, {"range_atomic_radius": "205", "entropy_Valence": "1.5649572502428", "row_count": 611}, {"range_atomic_radius": "205", "entropy_Valence": "1.58902691517397", "row_count": 599}, {"range_atomic_radius": "171", "entropy_Valence": "1.5193826646423", "row_count": 339}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..9bf3b1aae74d8290982664e6fa4d6a216c57adc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/generated_sql.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_d81e520eb1e79207 +-- problem_id: v2p_n5_1dcc1a292a2d252b +-- realization_mode: agent +-- source_kind: agent +SELECT + "range_atomic_radius", + "entropy_Valence", + COUNT(*) AS "row_count" +FROM "n5" +WHERE CAST("wtd_std_ElectronAffinity" AS REAL) >= 46.81886 +GROUP BY "range_atomic_radius", "entropy_Valence" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..02b4182531ee24916050f021d511ee71dab5252e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/query_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\n \"range_atomic_radius\",\n \"entropy_Valence\",\n COUNT(*) AS \"row_count\"\nFROM \"n5\"\nWHERE CAST(\"wtd_std_ElectronAffinity\" AS REAL) >= 46.81886\nGROUP BY \"range_atomic_radius\", \"entropy_Valence\"\nORDER BY \"row_count\" DESC;", "result": "{\"query\": \"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT\\n \\\"range_atomic_radius\\\",\\n \\\"entropy_Valence\\\",\\n COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n5\\\"\\nWHERE CAST(\\\"wtd_std_ElectronAffinity\\\" AS REAL) >= 46.81886\\nGROUP BY \\\"range_atomic_radius\\\", \\\"entropy_Valence\\\"\\nORDER BY \\\"row_count\\\" DESC;\", \"columns\": [\"range_atomic_radius\", \"entropy_Valence\", \"row_count\"], \"rows\": [{\"range_atomic_radius\": \"205\", \"entropy_Valence\": \"1.36892236074022\", \"row_count\": 1126}, {\"range_atomic_radius\": \"205\", \"entropy_Valence\": \"1.59416669911802\", \"row_count\": 1100}, {\"range_atomic_radius\": \"205\", \"entropy_Valence\": \"1.5649572502428\", \"row_count\": 611}, {\"range_atomic_radius\": \"205\", \"entropy_Valence\": \"1.58902691517397\", \"row_count\": 599}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.5193826646423\", \"row_count\": 339}, {\"range_atomic_radius\": \"205\", \"entropy_Valence\": \"1.74897075077131\", \"row_count\": 293}, {\"range_atomic_radius\": \"205\", \"entropy_Valence\": \"1.77213938843753\", \"row_count\": 262}, {\"range_atomic_radius\": \"205\", \"entropy_Valence\": \"1.77823330579971\", \"row_count\": 241}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.71707598019888\", \"row_count\": 221}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.70747543516624\", \"row_count\": 190}, {\"range_atomic_radius\": \"205\", \"entropy_Valence\": \"1.38629436111989\", \"row_count\": 180}, {\"range_atomic_radius\": \"205\", \"entropy_Valence\": \"1.6094379124341\", \"row_count\": 139}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.53177807879137\", \"row_count\": 136}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.74897075077131\", \"row_count\": 118}, {\"range_atomic_radius\": \"205\", \"entropy_Valence\": \"1.55711309805765\", \"row_count\": 107}, {\"range_atomic_radius\": \"53\", \"entropy_Valence\": \"1.05492016798614\", \"row_count\": 89}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.87406320769729\", \"row_count\": 87}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.72108914922872\", \"row_count\": 84}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.59416669911802\", \"row_count\": 75}, {\"range_atomic_radius\": \"153\", \"entropy_Valence\": \"1.49440321137961\", \"row_count\": 74}, {\"range_atomic_radius\": \"205\", \"entropy_Valence\": \"1.90542004311014\", \"row_count\": 73}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.5649572502428\", \"row_count\": 69}, {\"range_atomic_radius\": \"199\", \"entropy_Valence\": \"1.70747543516624\", \"row_count\": 59}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.49436508345339\", \"row_count\": 55}, {\"range_atomic_radius\": \"205\", \"entropy_Valence\": \"1.56071040904141\", \"row_count\": 52}, {\"range_atomic_radius\": \"205\", \"entropy_Valence\": \"1.92739212613927\", \"row_count\": 52}, {\"range_atomic_radius\": \"33\", \"entropy_Valence\": \"1.35458107521317\", \"row_count\": 52}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.87512185601982\", \"row_count\": 51}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.2882523050229\", \"row_count\": 48}, {\"range_atomic_radius\": \"196\", \"entropy_Valence\": \"1.49440321137961\", \"row_count\": 48}, {\"range_atomic_radius\": \"159\", \"entropy_Valence\": \"1.58678470752805\", \"row_count\": 45}, {\"range_atomic_radius\": \"161\", \"entropy_Valence\": \"1.58678470752805\", \"row_count\": 45}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.58902691517397\", \"row_count\": 43}, {\"range_atomic_radius\": \"211\", \"entropy_Valence\": \"1.58109375017182\", \"row_count\": 42}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.85537272548104\", \"row_count\": 41}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.36892236074022\", \"row_count\": 40}, {\"range_atomic_radius\": \"185\", \"entropy_Valence\": \"1.71707598019888\", \"row_count\": 40}, {\"range_atomic_radius\": \"146\", \"entropy_Valence\": \"1.46773392932715\", \"row_count\": 37}, {\"range_atomic_radius\": \"196\", \"entropy_Valence\": \"1.65694655002062\", \"row_count\": 37}, {\"range_atomic_radius\": \"103\", \"entropy_Valence\": \"1.08219553003877\", \"row_count\": 36}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.77213938843753\", \"row_count\": 36}, {\"range_atomic_radius\": \"185\", \"entropy_Valence\": \"1.69441507341845\", \"row_count\": 36}, {\"range_atomic_radius\": \"95\", \"entropy_Valence\": \"0.689009238476659\", \"row_count\": 35}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.6681739719974\", \"row_count\": 34}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.90542004311014\", \"row_count\": 34}, {\"range_atomic_radius\": \"185\", \"entropy_Valence\": \"1.49436508345339\", \"row_count\": 34}, {\"range_atomic_radius\": \"53\", \"entropy_Valence\": \"0.636514168294813\", \"row_count\": 34}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.47507631105469\", \"row_count\": 32}, {\"range_atomic_radius\": \"171\", \"entropy_Valence\": \"1.69441507341845\", \"row_count\": 32}, {\"range_atomic_radius\": \"83\", \"entropy_Valence\": \"1.06085694715802\", \"row_count\": 32}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 45.07}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2933c95db620323a7e688ecbda1c70d47387c420 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/run_manifest.json @@ -0,0 +1,93 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:48:40.720921+00:00", + "ended_at": "2026-05-19T15:48:54.000225+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_d81e520eb1e79207", + "problem_id": "v2p_n5_1dcc1a292a2d252b", + "dataset_id": "n5", + "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=range_atomic_radius, group_col_2=entropy_Valence.", + "bindings": { + "group_col": "range_atomic_radius", + "group_col_2": "entropy_Valence", + "predicate_col": "wtd_std_ElectronAffinity", + "predicate_op": ">=", + "predicate_value": 46.81886, + "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": 46.81886, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_d81e520eb1e79207.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_d81e520eb1e79207", + "api_calls": 0, + "input_tokens": 25676, + "cached_input_tokens": 24960, + "output_tokens": 651, + "total_tokens": 26327, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13217.51, + "sql_execution_elapsed_ms_total": 45.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ca9ac49fd8fc679b103a44b60a2f1e719716fc1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:48:53.952700+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 13217.51, "started_at": "2026-05-19T15:48:40.733373+00:00", "ended_at": "2026-05-19T15:48:53.950917+00:00", "prompt_metrics": {"chars": 45168, "bytes_utf8": 45168, "lines": 1084, "estimated_tokens": null}, "response_metrics": {"chars": 513, "bytes_utf8": 513, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25676, "cached_input_tokens": 24960, "output_tokens": 651, "reasoning_output_tokens": 516}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT\\n \\\"range_atomic_radius\\\",\\n \\\"entropy_Valence\\\",\\n COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"n5\\\"\\nWHERE CAST(\\\"wtd_std_ElectronAffinity\\\" AS REAL) >= 46.81886\\nGROUP BY \\\"range_atomic_radius\\\", \\\"entropy_Valence\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the planned template with fixed bindings for group columns and predicate. Cast the predicate column to REAL because the SQLite schema stores fields as TEXT, and numeric comparison is required.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8fb1a5bd4d4224c6d90dd9099d582aea018da4b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_d81e520eb1e79207", + "api_calls": 0, + "input_tokens": 25676, + "cached_input_tokens": 24960, + "output_tokens": 651, + "total_tokens": 26327, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13217.51, + "sql_execution_elapsed_ms_total": 45.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d81e520eb1e79207/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1e6ac99f66288506cfd437f34fc586db6d7eead --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/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=number_of_elements, measure_col=gmean_atomic_mass. +Result preview: [{"number_of_elements": "1", "percentile_measure": 200.59}, {"number_of_elements": "2", "percentile_measure": 157.505756351951}, {"number_of_elements": "3", "percentile_measure": 125.297704574185}, {"number_of_elements": "4", "percentile_measure": 91.961079324755}, {"number_of_elements": "8", "percentile_measure": 87.8385540337119}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0b6200cbeb740764f05e46395bf0981a4557f9cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/generated_sql.sql @@ -0,0 +1,46 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_d8bc6ce06ab6d3e9 +-- problem_id: v2p_n5_106e009ba434aa5a +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "number_of_elements", + CAST("gmean_atomic_mass" AS REAL) AS "measure" + FROM "n5" + WHERE "number_of_elements" IS NOT NULL + AND "gmean_atomic_mass" IS NOT NULL +), +"eligible" AS ( + SELECT "number_of_elements" + FROM "base" + GROUP BY "number_of_elements" + HAVING COUNT(*) >= 5 +), +"ranked" AS ( + SELECT + b."number_of_elements", + b."measure", + CUME_DIST() OVER ( + PARTITION BY b."number_of_elements" + ORDER BY b."measure" + ) AS "cume_dist" + FROM "base" AS b + INNER JOIN "eligible" AS e + ON b."number_of_elements" = e."number_of_elements" +) +SELECT + "number_of_elements", + MIN("measure") AS "percentile_measure" +FROM "ranked" +WHERE "cume_dist" >= 0.9 +GROUP BY "number_of_elements" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..309e6ae7b27b8800d775c6bac37f4717334e0ea4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/query_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 \"number_of_elements\",\n CAST(\"gmean_atomic_mass\" AS REAL) AS \"measure\"\n FROM \"n5\"\n WHERE \"number_of_elements\" IS NOT NULL\n AND \"gmean_atomic_mass\" IS NOT NULL\n),\n\"eligible\" AS (\n SELECT \"number_of_elements\"\n FROM \"base\"\n GROUP BY \"number_of_elements\"\n HAVING COUNT(*) >= 5\n),\n\"ranked\" AS (\n SELECT\n b.\"number_of_elements\",\n b.\"measure\",\n CUME_DIST() OVER (\n PARTITION BY b.\"number_of_elements\"\n ORDER BY b.\"measure\"\n ) AS \"cume_dist\"\n FROM \"base\" AS b\n INNER JOIN \"eligible\" AS e\n ON b.\"number_of_elements\" = e.\"number_of_elements\"\n)\nSELECT\n \"number_of_elements\",\n MIN(\"measure\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cume_dist\" >= 0.9\nGROUP BY \"number_of_elements\"\nORDER BY \"percentile_measure\" DESC;", "result": "{\"query\": \"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"number_of_elements\\\",\\n CAST(\\\"gmean_atomic_mass\\\" AS REAL) AS \\\"measure\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"number_of_elements\\\" IS NOT NULL\\n AND \\\"gmean_atomic_mass\\\" IS NOT NULL\\n),\\n\\\"eligible\\\" AS (\\n SELECT \\\"number_of_elements\\\"\\n FROM \\\"base\\\"\\n GROUP BY \\\"number_of_elements\\\"\\n HAVING COUNT(*) >= 5\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n b.\\\"number_of_elements\\\",\\n b.\\\"measure\\\",\\n CUME_DIST() OVER (\\n PARTITION BY b.\\\"number_of_elements\\\"\\n ORDER BY b.\\\"measure\\\"\\n ) AS \\\"cume_dist\\\"\\n FROM \\\"base\\\" AS b\\n INNER JOIN \\\"eligible\\\" AS e\\n ON b.\\\"number_of_elements\\\" = e.\\\"number_of_elements\\\"\\n)\\nSELECT\\n \\\"number_of_elements\\\",\\n MIN(\\\"measure\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist\\\" >= 0.9\\nGROUP BY \\\"number_of_elements\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\", \"columns\": [\"number_of_elements\", \"percentile_measure\"], \"rows\": [{\"number_of_elements\": \"1\", \"percentile_measure\": 200.59}, {\"number_of_elements\": \"2\", \"percentile_measure\": 157.505756351951}, {\"number_of_elements\": \"3\", \"percentile_measure\": 125.297704574185}, {\"number_of_elements\": \"4\", \"percentile_measure\": 91.961079324755}, {\"number_of_elements\": \"8\", \"percentile_measure\": 87.8385540337119}, {\"number_of_elements\": \"7\", \"percentile_measure\": 83.9703852466856}, {\"number_of_elements\": \"9\", \"percentile_measure\": 81.8931233520708}, {\"number_of_elements\": \"6\", \"percentile_measure\": 78.2410666140215}, {\"number_of_elements\": \"5\", \"percentile_measure\": 77.1472329072435}], \"row_count_returned\": 9, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 62.88}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d49200d476b3edf4bfac51d58f3db982c0178d29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:57:16.739703+00:00", + "ended_at": "2026-05-19T15:57:52.286417+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_d8bc6ce06ab6d3e9", + "problem_id": "v2p_n5_106e009ba434aa5a", + "dataset_id": "n5", + "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=number_of_elements, measure_col=gmean_atomic_mass.", + "bindings": { + "group_col": "number_of_elements", + "measure_col": "gmean_atomic_mass", + "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": 66.522925, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_d8bc6ce06ab6d3e9.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_d8bc6ce06ab6d3e9", + "api_calls": 0, + "input_tokens": 25613, + "cached_input_tokens": 24960, + "output_tokens": 2215, + "total_tokens": 27828, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 35469.54, + "sql_execution_elapsed_ms_total": 62.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f25914d65655cfc3b49ba095a5c4c75d84716d4a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:57:52.220908+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 35469.54, "started_at": "2026-05-19T15:57:16.750102+00:00", "ended_at": "2026-05-19T15:57:52.219670+00:00", "prompt_metrics": {"chars": 45019, "bytes_utf8": 45019, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 1207, "bytes_utf8": 1207, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25613, "cached_input_tokens": 24960, "output_tokens": 2215, "reasoning_output_tokens": 1870}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"base\\\" AS (\\n SELECT\\n \\\"number_of_elements\\\",\\n CAST(\\\"gmean_atomic_mass\\\" AS REAL) AS \\\"measure\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"number_of_elements\\\" IS NOT NULL\\n AND \\\"gmean_atomic_mass\\\" IS NOT NULL\\n),\\n\\\"eligible\\\" AS (\\n SELECT \\\"number_of_elements\\\"\\n FROM \\\"base\\\"\\n GROUP BY \\\"number_of_elements\\\"\\n HAVING COUNT(*) >= 5\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n b.\\\"number_of_elements\\\",\\n b.\\\"measure\\\",\\n CUME_DIST() OVER (\\n PARTITION BY b.\\\"number_of_elements\\\"\\n ORDER BY b.\\\"measure\\\"\\n ) AS \\\"cume_dist\\\"\\n FROM \\\"base\\\" AS b\\n INNER JOIN \\\"eligible\\\" AS e\\n ON b.\\\"number_of_elements\\\" = e.\\\"number_of_elements\\\"\\n)\\nSELECT\\n \\\"number_of_elements\\\",\\n MIN(\\\"measure\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cume_dist\\\" >= 0.9\\nGROUP BY \\\"number_of_elements\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query uses CUME_DIS"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cf9aff475133b9b885e26275ac00ef2f8d52b879 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_d8bc6ce06ab6d3e9", + "api_calls": 0, + "input_tokens": 25613, + "cached_input_tokens": 24960, + "output_tokens": 2215, + "total_tokens": 27828, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 35469.54, + "sql_execution_elapsed_ms_total": 62.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_d8bc6ce06ab6d3e9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..a57e55a100844a22bdbde6ceb8ccbeab65fef63f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/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=range_atomic_radius, measure_col=std_atomic_radius. +Result preview: [{"range_atomic_radius": "127", "mean_Density": "1905", "total_measure": 698.5, "share_within_group": 100.0}, {"range_atomic_radius": "149", "mean_Density": "6944.33333333333", "total_measure": 60.884225287745, "share_within_group": 100.0}, {"range_atomic_radius": "163", "mean_Density": "3986.11625", "total_measure": 73.5544016357961, "share_within_group": 100.0}, {"range_atomic_radius": "189", "mean_Density": "4246.424", "total_measure": 282.069140460278, "share_within_group": 100.0}, {"range_atomic_radius": "197", "mean_Density": "4206.11625", "total_measure": 83.4356039110403, "share_within_group": 100.0}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..c9e9c13b745f5babc3ae52863361e7ed1c8376c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/generated_sql.sql @@ -0,0 +1,35 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_dc6160bae514b887 +-- problem_id: v2p_n5_d614cc295c6f4b5e +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "range_atomic_radius", + "mean_Density", + SUM(CAST("std_atomic_radius" AS REAL)) AS "total_measure" + FROM "n5" + WHERE "range_atomic_radius" IS NOT NULL + AND "mean_Density" IS NOT NULL + AND "std_atomic_radius" IS NOT NULL + AND TRIM("range_atomic_radius") <> '' + AND TRIM("mean_Density") <> '' + AND TRIM("std_atomic_radius") <> '' + GROUP BY "range_atomic_radius", "mean_Density" +) +SELECT + "range_atomic_radius", + "mean_Density", + "total_measure", + "total_measure" * 100.0 / SUM("total_measure") OVER (PARTITION BY "range_atomic_radius") AS "share_within_group" +FROM "grouped" +ORDER BY "share_within_group" DESC +LIMIT 19; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f0a255a4949b2ae5c1ee28cb8c18e62ce955919b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/query_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\nWITH \"grouped\" AS (\n SELECT\n \"range_atomic_radius\",\n \"mean_Density\",\n SUM(CAST(\"std_atomic_radius\" AS REAL)) AS \"total_measure\"\n FROM \"n5\"\n WHERE \"range_atomic_radius\" IS NOT NULL\n AND \"mean_Density\" IS NOT NULL\n AND \"std_atomic_radius\" IS NOT NULL\n AND TRIM(\"range_atomic_radius\") <> ''\n AND TRIM(\"mean_Density\") <> ''\n AND TRIM(\"std_atomic_radius\") <> ''\n GROUP BY \"range_atomic_radius\", \"mean_Density\"\n)\nSELECT\n \"range_atomic_radius\",\n \"mean_Density\",\n \"total_measure\",\n \"total_measure\" * 100.0 / SUM(\"total_measure\") OVER (PARTITION BY \"range_atomic_radius\") AS \"share_within_group\"\nFROM \"grouped\"\nORDER BY \"share_within_group\" DESC\nLIMIT 19;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"range_atomic_radius\\\",\\n \\\"mean_Density\\\",\\n SUM(CAST(\\\"std_atomic_radius\\\" AS REAL)) AS \\\"total_measure\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"range_atomic_radius\\\" IS NOT NULL\\n AND \\\"mean_Density\\\" IS NOT NULL\\n AND \\\"std_atomic_radius\\\" IS NOT NULL\\n AND TRIM(\\\"range_atomic_radius\\\") <> ''\\n AND TRIM(\\\"mean_Density\\\") <> ''\\n AND TRIM(\\\"std_atomic_radius\\\") <> ''\\n GROUP BY \\\"range_atomic_radius\\\", \\\"mean_Density\\\"\\n)\\nSELECT\\n \\\"range_atomic_radius\\\",\\n \\\"mean_Density\\\",\\n \\\"total_measure\\\",\\n \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"range_atomic_radius\\\") AS \\\"share_within_group\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 19;\", \"columns\": [\"range_atomic_radius\", \"mean_Density\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"range_atomic_radius\": \"127\", \"mean_Density\": \"1905\", \"total_measure\": 698.5, \"share_within_group\": 100.0}, {\"range_atomic_radius\": \"149\", \"mean_Density\": \"6944.33333333333\", \"total_measure\": 60.884225287745, \"share_within_group\": 100.0}, {\"range_atomic_radius\": \"163\", \"mean_Density\": \"3986.11625\", \"total_measure\": 73.5544016357961, \"share_within_group\": 100.0}, {\"range_atomic_radius\": \"189\", \"mean_Density\": \"4246.424\", \"total_measure\": 282.069140460278, \"share_within_group\": 100.0}, {\"range_atomic_radius\": \"197\", \"mean_Density\": \"4206.11625\", \"total_measure\": 83.4356039110403, \"share_within_group\": 100.0}, {\"range_atomic_radius\": \"200\", \"mean_Density\": \"1923.3633\", \"total_measure\": 91.1604202613295, \"share_within_group\": 100.0}, {\"range_atomic_radius\": \"245\", \"mean_Density\": \"1021.66818\", \"total_measure\": 97.1172487254453, \"share_within_group\": 100.0}, {\"range_atomic_radius\": \"99\", \"mean_Density\": \"5826.66666666667\", \"total_measure\": 41.0717529317765, \"share_within_group\": 100.0}, {\"range_atomic_radius\": \"78\", \"mean_Density\": \"2152.66666666667\", \"total_measure\": 2712.480455638756, \"share_within_group\": 89.35722724259944}, {\"range_atomic_radius\": \"212\", \"mean_Density\": \"952.26818\", \"total_measure\": 430.85264302311055, \"share_within_group\": 81.65354620554983}, {\"range_atomic_radius\": \"85\", \"mean_Density\": \"5451.5\", \"total_measure\": 141.7991537351336, \"share_within_group\": 78.54522570279786}, {\"range_atomic_radius\": \"71\", \"mean_Density\": \"6923\", \"total_measure\": 106.5, \"share_within_group\": 75.0}, {\"range_atomic_radius\": \"28\", \"mean_Density\": \"9440.5\", \"total_measure\": 182.0, \"share_within_group\": 73.28676607505639}, {\"range_atomic_radius\": \"223\", \"mean_Density\": \"4264.025\", \"total_measure\": 258.7176066679653, \"share_within_group\": 73.04322095187987}, {\"range_atomic_radius\": \"256\", \"mean_Density\": \"4333.425\", \"total_measure\": 288.0912355487406, \"share_within_group\": 72.93172382431464}, {\"range_atomic_radius\": \"198\", \"mean_Density\": \"1896\", \"total_measure\": 2277.0, \"share_within_group\": 69.25755948661784}, {\"range_atomic_radius\": \"176\", \"mean_Density\": \"1558\", \"total_measure\": 1936.0, \"share_within_group\": 67.32742459038802}, {\"range_atomic_radius\": \"48\", \"mean_Density\": \"8886.5\", \"total_measure\": 96.0, \"share_within_group\": 66.66666666666667}, {\"range_atomic_radius\": \"187\", \"mean_Density\": \"1842.86625\", \"total_measure\": 559.9781245727376, \"share_within_group\": 65.44376004410435}], \"row_count_returned\": 19, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 50.19}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a3e09b8ea5cee18aa719ebd5db744afec0c151ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:40:50.775428+00:00", + "ended_at": "2026-05-19T15:41:19.201963+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_dc6160bae514b887", + "problem_id": "v2p_n5_d614cc295c6f4b5e", + "dataset_id": "n5", + "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=range_atomic_radius, measure_col=std_atomic_radius.", + "bindings": { + "group_col": "range_atomic_radius", + "measure_col": "std_atomic_radius", + "item_col": "mean_Density", + "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": 77.636918, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=29" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_dc6160bae514b887.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_dc6160bae514b887", + "api_calls": 0, + "input_tokens": 25694, + "cached_input_tokens": 24960, + "output_tokens": 1622, + "total_tokens": 27316, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 28361.57, + "sql_execution_elapsed_ms_total": 50.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..af5cfcc026fed0de879a0753eb79b9b634cc7edd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:41:19.148959+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 28361.57, "started_at": "2026-05-19T15:40:50.786208+00:00", "ended_at": "2026-05-19T15:41:19.147815+00:00", "prompt_metrics": {"chars": 45258, "bytes_utf8": 45258, "lines": 1082, "estimated_tokens": null}, "response_metrics": {"chars": 1045, "bytes_utf8": 1045, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25694, "cached_input_tokens": 24960, "output_tokens": 1622, "reasoning_output_tokens": 1334}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"range_atomic_radius\\\",\\n \\\"mean_Density\\\",\\n SUM(CAST(\\\"std_atomic_radius\\\" AS REAL)) AS \\\"total_measure\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"range_atomic_radius\\\" IS NOT NULL\\n AND \\\"mean_Density\\\" IS NOT NULL\\n AND \\\"std_atomic_radius\\\" IS NOT NULL\\n AND TRIM(\\\"range_atomic_radius\\\") <> ''\\n AND TRIM(\\\"mean_Density\\\") <> ''\\n AND TRIM(\\\"std_atomic_radius\\\") <> ''\\n GROUP BY \\\"range_atomic_radius\\\", \\\"mean_Density\\\"\\n)\\nSELECT\\n \\\"range_atomic_radius\\\",\\n \\\"mean_Density\\\",\\n \\\"total_measure\\\",\\n \\\"total_measure\\\" * 100.0 / SUM(\\\"total_measure\\\") OVER (PARTITION BY \\\"range_atomic_radius\\\") AS \\\"share_within_group\\\"\\nFROM \\\"grouped\\\"\\nORDER BY \\\"share_within_group\\\" DESC\\nLIMIT 19;\",\"notes\":\"Applied the Within-Group Share of Total template using group_col=\\\"range_atomic_radius\\\", item_col=\\\"mean_Density\\\", and measure_col=\\\"std_atomic_radius\\\". The measure is CAST to REAL becaus"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..841a06e80f68c5dc22899cf96a744b8cde591b77 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_dc6160bae514b887", + "api_calls": 0, + "input_tokens": 25694, + "cached_input_tokens": 24960, + "output_tokens": 1622, + "total_tokens": 27316, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 28361.57, + "sql_execution_elapsed_ms_total": 50.19, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc6160bae514b887/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..8189c0b59b7f5f755f16333b901bee8637980752 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/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=std_Valence, condition_col=range_Valence. +Result preview: [{"std_Valence": "0.5", "condition_ratio": 0.0021382751247327157}, {"std_Valence": "0.349927106111883", "condition_ratio": 0.0}, {"std_Valence": "0.372677996249965", "condition_ratio": 0.0}, {"std_Valence": "0.4", "condition_ratio": 0.0}, {"std_Valence": "0.433012701892219", "condition_ratio": 0.0}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..f23413e21b0170dc9b1b89cd068c65c5d1f3b896 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/generated_sql.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_dc718d7c54ed86bb +-- problem_id: v2p_n5_0f8d0721e1c52c80 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "std_Valence", + SUM(CASE WHEN "range_Valence" = '2' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "range_Valence" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "n5" + GROUP BY "std_Valence" +) +SELECT + "std_Valence", + 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_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dd57f5b1645579ffad1c1ebb0150b53d69e6d13d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT\n \"std_Valence\",\n SUM(CASE WHEN \"range_Valence\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"range_Valence\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"n5\"\n GROUP BY \"std_Valence\"\n)\nSELECT\n \"std_Valence\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", "result": "{\"query\": \"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"std_Valence\\\",\\n SUM(CASE WHEN \\\"range_Valence\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"range_Valence\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n5\\\"\\n GROUP BY \\\"std_Valence\\\"\\n)\\nSELECT\\n \\\"std_Valence\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\", \"columns\": [\"std_Valence\", \"condition_ratio\"], \"rows\": [{\"std_Valence\": \"0.5\", \"condition_ratio\": 0.0021382751247327157}, {\"std_Valence\": \"0.349927106111883\", \"condition_ratio\": 0.0}, {\"std_Valence\": \"0.372677996249965\", \"condition_ratio\": 0.0}, {\"std_Valence\": \"0.4\", \"condition_ratio\": 0.0}, {\"std_Valence\": \"0.433012701892219\", \"condition_ratio\": 0.0}, {\"std_Valence\": \"0.451753951452626\", \"condition_ratio\": 0.0}, {\"std_Valence\": \"0.471404520791032\", \"condition_ratio\": 0.0}, {\"std_Valence\": \"0.484122918275927\", \"condition_ratio\": 0.0}, {\"std_Valence\": \"0.489897948556636\", \"condition_ratio\": 0.0}, {\"std_Valence\": \"0.494871659305394\", \"condition_ratio\": 0.0}, {\"std_Valence\": \"0\", \"condition_ratio\": null}, {\"std_Valence\": \"0.534522483824849\", \"condition_ratio\": null}, {\"std_Valence\": \"0.577350269189626\", \"condition_ratio\": null}, {\"std_Valence\": \"0.632455532033676\", \"condition_ratio\": null}, {\"std_Valence\": \"0.63887656499994\", \"condition_ratio\": null}, {\"std_Valence\": \"0.687184270936277\", \"condition_ratio\": null}, {\"std_Valence\": \"0.695970545353753\", \"condition_ratio\": null}, {\"std_Valence\": \"0.707106781186548\", \"condition_ratio\": null}, {\"std_Valence\": \"0.728431359084684\", \"condition_ratio\": null}, {\"std_Valence\": \"0.74535599249993\", \"condition_ratio\": null}, {\"std_Valence\": \"0.748331477354788\", \"condition_ratio\": null}, {\"std_Valence\": \"0.763762615825973\", \"condition_ratio\": null}, {\"std_Valence\": \"0.8\", \"condition_ratio\": null}, {\"std_Valence\": \"0.816496580927726\", \"condition_ratio\": null}, {\"std_Valence\": \"0.82915619758885\", \"condition_ratio\": null}, {\"std_Valence\": \"0.832993127835043\", \"condition_ratio\": null}, {\"std_Valence\": \"0.85695682505013\", \"condition_ratio\": null}, {\"std_Valence\": \"0.866025403784439\", \"condition_ratio\": null}, {\"std_Valence\": \"0.880630571852711\", \"condition_ratio\": null}, {\"std_Valence\": \"0.894427190999916\", \"condition_ratio\": null}, {\"std_Valence\": \"0.897527467855751\", \"condition_ratio\": null}, {\"std_Valence\": \"0.903507902905251\", \"condition_ratio\": null}, {\"std_Valence\": \"0.942809041582063\", \"condition_ratio\": null}, {\"std_Valence\": \"0.968245836551854\", \"condition_ratio\": null}, {\"std_Valence\": \"0.979795897113271\", \"condition_ratio\": null}, {\"std_Valence\": \"1\", \"condition_ratio\": null}, {\"std_Valence\": \"1.01980390271856\", \"condition_ratio\": null}, {\"std_Valence\": \"1.03015750727543\", \"condition_ratio\": null}, {\"std_Valence\": \"1.04978131833565\", \"condition_ratio\": null}, {\"std_Valence\": \"1.05326872164704\", \"condition_ratio\": null}, {\"std_Valence\": \"1.06718737290547\", \"condition_ratio\": null}, {\"std_Valence\": \"1.0690449676497\", \"condition_ratio\": null}, {\"std_Valence\": \"1.08972473588517\", \"condition_ratio\": null}, {\"std_Valence\": \"1.09544511501033\", \"condition_ratio\": null}, {\"std_Valence\": \"1.10554159678513\", \"condition_ratio\": null}, {\"std_Valence\": \"1.11803398874989\", \"condition_ratio\": null}, {\"std_Valence\": \"1.12485826771597\", \"condition_ratio\": null}, {\"std_Valence\": \"1.15470053837925\", \"condition_ratio\": null}, {\"std_Valence\": \"1.16057691494799\", \"condition_ratio\": null}, {\"std_Valence\": \"1.1653431646335\", \"condition_ratio\": null}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 30.26}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8cdac4249680e8b595feecf5e169bd81b3ef84be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/run_manifest.json @@ -0,0 +1,92 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:47:16.384641+00:00", + "ended_at": "2026-05-19T15:47:33.418187+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_dc718d7c54ed86bb", + "problem_id": "v2p_n5_0f8d0721e1c52c80", + "dataset_id": "n5", + "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=std_Valence, condition_col=range_Valence.", + "bindings": { + "group_col": "std_Valence", + "condition_col": "range_Valence", + "condition_value": "2", + "positive_value": "2", + "negative_value": "1", + "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": 77.2375, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_dc718d7c54ed86bb.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_dc718d7c54ed86bb", + "api_calls": 0, + "input_tokens": 25787, + "cached_input_tokens": 12032, + "output_tokens": 689, + "total_tokens": 26476, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16982.68, + "sql_execution_elapsed_ms_total": 30.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..16ea907a43782fa1b576a4789f40cce39ccd8bb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:47:33.385628+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 16982.68, "started_at": "2026-05-19T15:47:16.401753+00:00", "ended_at": "2026-05-19T15:47:33.384475+00:00", "prompt_metrics": {"chars": 45621, "bytes_utf8": 45621, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 728, "bytes_utf8": 728, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25787, "cached_input_tokens": 12032, "output_tokens": 689, "reasoning_output_tokens": 478}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"std_Valence\\\",\\n SUM(CASE WHEN \\\"range_Valence\\\" = '2' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"range_Valence\\\" = '1' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"n5\\\"\\n GROUP BY \\\"std_Valence\\\"\\n)\\nSELECT\\n \\\"std_Valence\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Uses the requested grouped ratio template with group_col=\\\"std_Valence\\\" and condition_col=\\\"range_Valence\\\", computing the ratio of rows where range_Valence='2' to rows where range_Valence='1' per std_Valence group.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..650f609a78fa251e239a31ac0c4f94410588d59a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_dc718d7c54ed86bb", + "api_calls": 0, + "input_tokens": 25787, + "cached_input_tokens": 12032, + "output_tokens": 689, + "total_tokens": 26476, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16982.68, + "sql_execution_elapsed_ms_total": 30.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_dc718d7c54ed86bb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..fc20c7d30ce9b22111663a1b19eea59fa1c04367 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/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=range_Valence, measure_col=gmean_Density. +Result preview: [{"range_Valence": "6", "entropy_Density": "0.626986644522235", "total_measure": 7198.65265171199, "share_within_group": 63.248485876733895}, {"range_Valence": "6", "entropy_Density": "0.588704669464952", "total_measure": 3046.68016043693, "share_within_group": 26.76860746329981}, {"range_Valence": "0", "entropy_Density": "0", "total_measure": 2170508.429, "share_within_group": 22.33639268211296}, {"range_Valence": "5", "entropy_Density": "1.07395305807302", "total_measure": 101680.07016912928, "share_within_group": 7.550616371275813}, {"range_Valence": "5", "entropy_Density": "0.857576838176928", "total_measure": 89337.41841187072, "share_within_group": 6.6340687305405375}] Results were truncated. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..0d022c8579b0c8e3c871c99fe01f0c16f490a332 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/generated_sql.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_ddb3d78879d4b093 +-- problem_id: v2p_n5_040cd3cd9d599bcb +-- realization_mode: agent +-- source_kind: agent +SELECT "range_Valence", "entropy_Density", + SUM(CAST("gmean_Density" AS REAL)) AS total_measure, + SUM(CAST("gmean_Density" AS REAL)) * 100.0 / SUM(SUM(CAST("gmean_Density" AS REAL))) OVER (PARTITION BY "range_Valence") AS share_within_group +FROM "n5" +GROUP BY "range_Valence", "entropy_Density" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..37b2ee0ee96ff4db7452b4b02865c082a1dd4dfb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/query_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 \"range_Valence\", \"entropy_Density\",\n SUM(CAST(\"gmean_Density\" AS REAL)) AS total_measure,\n SUM(CAST(\"gmean_Density\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"gmean_Density\" AS REAL))) OVER (PARTITION BY \"range_Valence\") AS share_within_group\nFROM \"n5\"\nGROUP BY \"range_Valence\", \"entropy_Density\"\nORDER BY share_within_group DESC;", "result": "{\"query\": \"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"range_Valence\\\", \\\"entropy_Density\\\",\\n SUM(CAST(\\\"gmean_Density\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"gmean_Density\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"gmean_Density\\\" AS REAL))) OVER (PARTITION BY \\\"range_Valence\\\") AS share_within_group\\nFROM \\\"n5\\\"\\nGROUP BY \\\"range_Valence\\\", \\\"entropy_Density\\\"\\nORDER BY share_within_group DESC;\", \"columns\": [\"range_Valence\", \"entropy_Density\", \"total_measure\", \"share_within_group\"], \"rows\": [{\"range_Valence\": \"6\", \"entropy_Density\": \"0.626986644522235\", \"total_measure\": 7198.65265171199, \"share_within_group\": 63.248485876733895}, {\"range_Valence\": \"6\", \"entropy_Density\": \"0.588704669464952\", \"total_measure\": 3046.68016043693, \"share_within_group\": 26.76860746329981}, {\"range_Valence\": \"0\", \"entropy_Density\": \"0\", \"total_measure\": 2170508.429, \"share_within_group\": 22.33639268211296}, {\"range_Valence\": \"5\", \"entropy_Density\": \"1.07395305807302\", \"total_measure\": 101680.07016912928, \"share_within_group\": 7.550616371275813}, {\"range_Valence\": \"5\", \"entropy_Density\": \"0.857576838176928\", \"total_measure\": 89337.41841187072, \"share_within_group\": 6.6340687305405375}, {\"range_Valence\": \"5\", \"entropy_Density\": \"1.0508165572864\", \"total_measure\": 86112.1653225288, \"share_within_group\": 6.3945660557549475}, {\"range_Valence\": \"0\", \"entropy_Density\": \"0.640909155597619\", \"total_measure\": 501703.14130967937, \"share_within_group\": 5.162955473665478}, {\"range_Valence\": \"4\", \"entropy_Density\": \"1.19001439294508\", \"total_measure\": 289997.86086710246, \"share_within_group\": 5.050757988188181}, {\"range_Valence\": \"5\", \"entropy_Density\": \"0.280747154755428\", \"total_measure\": 62325.7250258671, \"share_within_group\": 4.628219069372979}, {\"range_Valence\": \"5\", \"entropy_Density\": \"0.934070973667981\", \"total_measure\": 61980.777050996, \"share_within_group\": 4.602603726838618}, {\"range_Valence\": \"0\", \"entropy_Density\": \"1.06531253895967\", \"total_measure\": 407284.21011763986, \"share_within_group\": 4.191303718918572}, {\"range_Valence\": \"6\", \"entropy_Density\": \"0.697387551866371\", \"total_measure\": 458.014285642986, \"share_within_group\": 4.024185007724105}, {\"range_Valence\": \"3\", \"entropy_Density\": \"1.07897043586277\", \"total_measure\": 569158.8189327045, \"share_within_group\": 3.565255752374051}, {\"range_Valence\": \"6\", \"entropy_Density\": \"0.836568559256026\", \"total_measure\": 383.042033212472, \"share_within_group\": 3.3654670950226815}, {\"range_Valence\": \"5\", \"entropy_Density\": \"0.921799623592439\", \"total_measure\": 42922.22810103319, \"share_within_group\": 3.1873431799586975}, {\"range_Valence\": \"5\", \"entropy_Density\": \"1.19856800487204\", \"total_measure\": 40984.75564179192, \"share_within_group\": 3.043469250236679}, {\"range_Valence\": \"3\", \"entropy_Density\": \"1.33216903974058\", \"total_measure\": 477858.73805200984, \"share_within_group\": 2.9933448415275663}, {\"range_Valence\": \"4\", \"entropy_Density\": \"1.06784085256495\", \"total_measure\": 161787.04583279602, \"share_within_group\": 2.8177697989980572}, {\"range_Valence\": \"1\", \"entropy_Density\": \"0.633064428702285\", \"total_measure\": 602693.8639143421, \"share_within_group\": 2.8103956845491833}, {\"range_Valence\": \"4\", \"entropy_Density\": \"1.28868856776982\", \"total_measure\": 152995.15869615483, \"share_within_group\": 2.664645586102607}, {\"range_Valence\": \"6\", \"entropy_Density\": \"0.165852115075772\", \"total_measure\": 295.152342955287, \"share_within_group\": 2.5932545572195047}, {\"range_Valence\": \"0\", \"entropy_Density\": \"0.617085006562237\", \"total_measure\": 244355.80819779952, \"share_within_group\": 2.5146307718214014}, {\"range_Valence\": \"0\", \"entropy_Density\": \"0.621505872347706\", \"total_measure\": 243661.0366882656, \"share_within_group\": 2.507480977306001}, {\"range_Valence\": \"5\", \"entropy_Density\": \"1.33040576036897\", \"total_measure\": 32900.5368957312, \"share_within_group\": 2.443146745428719}, {\"range_Valence\": \"2\", \"entropy_Density\": \"0.643257871748025\", \"total_measure\": 459175.4914517983, \"share_within_group\": 2.3719655300694122}, {\"range_Valence\": \"1\", \"entropy_Density\": \"0.692499007484689\", \"total_measure\": 501189.8963466845, \"share_within_group\": 2.337076924401148}, {\"range_Valence\": \"5\", \"entropy_Density\": \"1.14837931704944\", \"total_measure\": 31005.17257380158, \"share_within_group\": 2.302399705670687}, {\"range_Valence\": \"1\", \"entropy_Density\": \"1.01540712310099\", \"total_measure\": 482080.7432227601, \"share_within_group\": 2.247969859122482}, {\"range_Valence\": \"5\", \"entropy_Density\": \"0.927057346984778\", \"total_measure\": 29783.671218906402, \"share_within_group\": 2.2116927646500337}, {\"range_Valence\": \"3\", \"entropy_Density\": \"1.35875568785555\", \"total_measure\": 352874.7742474953, \"share_within_group\": 2.2104354301542144}, {\"range_Valence\": \"5\", \"entropy_Density\": \"0.962667772799902\", \"total_measure\": 29026.25985771008, \"share_within_group\": 2.155448481831122}, {\"range_Valence\": \"4\", \"entropy_Density\": \"1.04617176917616\", \"total_measure\": 121694.26893888979, \"share_within_group\": 2.1194925339173234}, {\"range_Valence\": \"5\", \"entropy_Density\": \"1.20352144637644\", \"total_measure\": 27627.06285892791, \"share_within_group\": 2.0515461168143427}, {\"range_Valence\": \"4\", \"entropy_Density\": \"1.2098110527298\", \"total_measure\": 115430.43634193603, \"share_within_group\": 2.0103982722178}, {\"range_Valence\": \"0\", \"entropy_Density\": \"0.981963874578947\", \"total_measure\": 187900.1006838358, \"share_within_group\": 1.933653137581397}, {\"range_Valence\": \"5\", \"entropy_Density\": \"1.42306857681572\", \"total_measure\": 25666.7922640536, \"share_within_group\": 1.9059792301946845}, {\"range_Valence\": \"4\", \"entropy_Density\": \"1.11188323145316\", \"total_measure\": 109393.52228050274, \"share_within_group\": 1.9052561452082397}, {\"range_Valence\": \"0\", \"entropy_Density\": \"0.649969964040842\", \"total_measure\": 183758.35001435998, \"share_within_group\": 1.891030972143671}, {\"range_Valence\": \"5\", \"entropy_Density\": \"1.22828204199777\", \"total_measure\": 24970.80290698635, \"share_within_group\": 1.8542960574257772}, {\"range_Valence\": \"2\", \"entropy_Density\": \"1.001430296222\", \"total_measure\": 343307.09175997693, \"share_within_group\": 1.7734234580081545}, {\"range_Valence\": \"4\", \"entropy_Density\": \"0.935102546091411\", \"total_measure\": 101732.1532917768, \"share_within_group\": 1.7718216415723738}, {\"range_Valence\": \"3\", \"entropy_Density\": \"1.16177435651007\", \"total_measure\": 282355.22598765977, \"share_within_group\": 1.7686954153729881}, {\"range_Valence\": \"0\", \"entropy_Density\": \"0.690010139391551\", \"total_measure\": 166715.0862999504, \"share_within_group\": 1.7156411759910484}, {\"range_Valence\": \"1\", \"entropy_Density\": \"0.692180922346368\", \"total_measure\": 362079.7425982296, \"share_within_group\": 1.6883983843004053}, {\"range_Valence\": \"5\", \"entropy_Density\": \"0.812880718412123\", \"total_measure\": 22091.77030759797, \"share_within_group\": 1.6405032203219079}, {\"range_Valence\": \"0\", \"entropy_Density\": \"0.693146959811814\", \"total_measure\": 158024.9651162749, \"share_within_group\": 1.626212378286193}, {\"range_Valence\": \"1\", \"entropy_Density\": \"0.588456604651569\", \"total_measure\": 347616.16763320996, \"share_within_group\": 1.6209539135688733}, {\"range_Valence\": \"3\", \"entropy_Density\": \"1.09593253871666\", \"total_measure\": 256571.35745128273, \"share_within_group\": 1.6071832283350087}, {\"range_Valence\": \"5\", \"entropy_Density\": \"1.16987873328053\", \"total_measure\": 21350.48914657996, \"share_within_group\": 1.5854567430644575}, {\"range_Valence\": \"0\", \"entropy_Density\": \"0.689957539769413\", \"total_measure\": 145972.66011140542, \"share_within_group\": 1.502183826396446}], \"row_count_returned\": 50, \"row_limit\": 50, \"truncated\": true, \"elapsed_ms\": 67.29}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a6a4de2d784f44063900e6831410c2050ef12708 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/run_manifest.json @@ -0,0 +1,91 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:43:13.471477+00:00", + "ended_at": "2026-05-19T15:43:38.173162+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_ddb3d78879d4b093", + "problem_id": "v2p_n5_040cd3cd9d599bcb", + "dataset_id": "n5", + "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=range_Valence, measure_col=gmean_Density.", + "bindings": { + "group_col": "range_Valence", + "measure_col": "gmean_Density", + "item_col": "entropy_Density", + "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": 986.177796, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "item_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=1/2", + "binding_index=33" + ], + "template_selection_mode": "rule", + "selected_template_rank": 3, + "problem_index_within_template": 10, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_ddb3d78879d4b093.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_ddb3d78879d4b093", + "api_calls": 0, + "input_tokens": 25696, + "cached_input_tokens": 12032, + "output_tokens": 803, + "total_tokens": 26499, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 24618.9, + "sql_execution_elapsed_ms_total": 67.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a502d9ce8316edadf3e02d4ee208c3acbf9f8ac7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:43:38.102303+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 24618.9, "started_at": "2026-05-19T15:43:13.481544+00:00", "ended_at": "2026-05-19T15:43:38.100480+00:00", "prompt_metrics": {"chars": 45235, "bytes_utf8": 45235, "lines": 1082, "estimated_tokens": null}, "response_metrics": {"chars": 656, "bytes_utf8": 656, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25696, "cached_input_tokens": 12032, "output_tokens": 803, "reasoning_output_tokens": 619}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"range_Valence\\\", \\\"entropy_Density\\\",\\n SUM(CAST(\\\"gmean_Density\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"gmean_Density\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"gmean_Density\\\" AS REAL))) OVER (PARTITION BY \\\"range_Valence\\\") AS share_within_group\\nFROM \\\"n5\\\"\\nGROUP BY \\\"range_Valence\\\", \\\"entropy_Density\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the provided Within-Group Share of Total template with group_col=\\\"range_Valence\\\", item_col=\\\"entropy_Density\\\", and measure_col=\\\"gmean_Density\\\". The measure is cast from TEXT to REAL for SQLite-compatible aggregation.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1afe441d37c32ec795948ad95a41a80c6b892161 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_ddb3d78879d4b093", + "api_calls": 0, + "input_tokens": 25696, + "cached_input_tokens": 12032, + "output_tokens": 803, + "total_tokens": 26499, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 24618.9, + "sql_execution_elapsed_ms_total": 67.29, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_ddb3d78879d4b093/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e01118cd11f1f1d5/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e01118cd11f1f1d5/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5d1f9442f8dc9a7e0bbd666f0b07b5a571bd58b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e01118cd11f1f1d5/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:08:58.703291+00:00", + "ended_at": "2026-05-19T16:09:06.291413+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_e01118cd11f1f1d5", + "problem_id": "v2p_n5_b7ab2b2434fb0ae4", + "dataset_id": "n5", + "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=mean_Valence, condition_col=wtd_entropy_Valence.", + "bindings": { + "group_col": "mean_Valence", + "condition_col": "wtd_entropy_Valence", + "condition_value": "1.09604328066818", + "positive_value": "1.24943039324213", + "negative_value": "1.09604328066818", + "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": 318.080708, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "condition_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "notes": [ + "default_facets=pairwise_conditional_dependency", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=2/2", + "binding_index=100" + ], + "template_selection_mode": "rule", + "selected_template_rank": 9, + "problem_index_within_template": 5, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e01118cd11f1f1d5/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e01118cd11f1f1d5/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2a22ebb3fb11554bc8271361383cc828fe21e3bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e01118cd11f1f1d5/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:09:01.988642+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": 3273.29, "started_at": "2026-05-19T16:08:58.714466+00:00", "ended_at": "2026-05-19T16:09:01.987787+00:00", "prompt_metrics": {"chars": 45125, "bytes_utf8": 45125, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-6170-75c2-a753-c7687a9174ff\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:09:06.291295+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": 3300.12, "started_at": "2026-05-19T16:09:02.990072+00:00", "ended_at": "2026-05-19T16:09:06.290232+00:00", "prompt_metrics": {"chars": 45125, "bytes_utf8": 45125, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40ff-7208-7493-bd8b-d8e0d9577afc\"}\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_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..c8b136f77973f6af4fe849930f07eba38ddec13f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/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=number_of_elements, measure_col=wtd_range_Valence. +Result preview: [{"number_of_elements": "3", "group_value": 8708.818053753876}, {"number_of_elements": "2", "group_value": 7415.306619452859}, {"number_of_elements": "5", "group_value": 6066.91921608564}, {"number_of_elements": "4", "group_value": 5906.062081726083}, {"number_of_elements": "6", "group_value": 2685.942707572804}] \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..150aaff3352c2d35960776dfa8ef74d2ce235436 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/generated_sql.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_e264bd5c0d58eccf +-- problem_id: v2p_n5_0082bb73ed452130 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "number_of_elements", + SUM(CAST("wtd_range_Valence" AS REAL)) AS group_value + FROM "n5" + WHERE "number_of_elements" IS NOT NULL + AND "number_of_elements" <> '' + AND "wtd_range_Valence" IS NOT NULL + AND "wtd_range_Valence" <> '' + GROUP BY "number_of_elements" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."number_of_elements", 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_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a42d9a7ec4d96e2577d61d32f71bb26211ae9853 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"number_of_elements\",\n SUM(CAST(\"wtd_range_Valence\" AS REAL)) AS group_value\n FROM \"n5\"\n WHERE \"number_of_elements\" IS NOT NULL\n AND \"number_of_elements\" <> ''\n AND \"wtd_range_Valence\" IS NOT NULL\n AND \"wtd_range_Valence\" <> ''\n GROUP BY \"number_of_elements\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"number_of_elements\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"number_of_elements\\\",\\n SUM(CAST(\\\"wtd_range_Valence\\\" AS REAL)) AS group_value\\n FROM \\\"n5\\\"\\n WHERE \\\"number_of_elements\\\" IS NOT NULL\\n AND \\\"number_of_elements\\\" <> ''\\n AND \\\"wtd_range_Valence\\\" IS NOT NULL\\n AND \\\"wtd_range_Valence\\\" <> ''\\n GROUP BY \\\"number_of_elements\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"number_of_elements\\\", 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\": [\"number_of_elements\", \"group_value\"], \"rows\": [{\"number_of_elements\": \"3\", \"group_value\": 8708.818053753876}, {\"number_of_elements\": \"2\", \"group_value\": 7415.306619452859}, {\"number_of_elements\": \"5\", \"group_value\": 6066.91921608564}, {\"number_of_elements\": \"4\", \"group_value\": 5906.062081726083}, {\"number_of_elements\": \"6\", \"group_value\": 2685.942707572804}], \"row_count_returned\": 5, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 32.97}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..8dd02047d893b2dbe7bfbfd23a29e730abf18ea7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:55:19.070722+00:00", + "ended_at": "2026-05-19T15:55:31.479213+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_e264bd5c0d58eccf", + "problem_id": "v2p_n5_0082bb73ed452130", + "dataset_id": "n5", + "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=number_of_elements, measure_col=wtd_range_Valence.", + "bindings": { + "group_col": "number_of_elements", + "measure_col": "wtd_range_Valence", + "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": 1.089691, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=6", + "sql_variant_index=2/2", + "binding_index=77" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 6, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_e264bd5c0d58eccf.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_e264bd5c0d58eccf", + "api_calls": 0, + "input_tokens": 25715, + "cached_input_tokens": 24960, + "output_tokens": 697, + "total_tokens": 26412, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12359.63, + "sql_execution_elapsed_ms_total": 32.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7a85bfcba846f5d8f6458b08d34c7530fb1b3049 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:55:31.443746+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 12359.63, "started_at": "2026-05-19T15:55:19.082946+00:00", "ended_at": "2026-05-19T15:55:31.442600+00:00", "prompt_metrics": {"chars": 45395, "bytes_utf8": 45395, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 851, "bytes_utf8": 851, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25715, "cached_input_tokens": 24960, "output_tokens": 697, "reasoning_output_tokens": 469}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"number_of_elements\\\",\\n SUM(CAST(\\\"wtd_range_Valence\\\" AS REAL)) AS group_value\\n FROM \\\"n5\\\"\\n WHERE \\\"number_of_elements\\\" IS NOT NULL\\n AND \\\"number_of_elements\\\" <> ''\\n AND \\\"wtd_range_Valence\\\" IS NOT NULL\\n AND \\\"wtd_range_Valence\\\" <> ''\\n GROUP BY \\\"number_of_elements\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"number_of_elements\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the planned template with group_col=\\\"number_of_elements\\\" and measure_col=\\\"wtd_range_Valence\\\". Cast the measure to REAL because the SQLite schema stores numeric fields as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f2de67cdf2ce8d42bfb51c80a2a92bd8a7588385 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_e264bd5c0d58eccf", + "api_calls": 0, + "input_tokens": 25715, + "cached_input_tokens": 24960, + "output_tokens": 697, + "total_tokens": 26412, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12359.63, + "sql_execution_elapsed_ms_total": 32.97, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e264bd5c0d58eccf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e34375e7eaf72ba1/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e34375e7eaf72ba1/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..79159b971a3038b5017b65fb05c5e356025a9c44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e34375e7eaf72ba1/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:08:27.661302+00:00", + "ended_at": "2026-05-19T16:08:34.462455+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_e34375e7eaf72ba1", + "problem_id": "v2p_n5_4f72d8d780618a0d", + "dataset_id": "n5", + "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=number_of_elements, condition_col=wtd_entropy_Valence.", + "bindings": { + "group_col": "number_of_elements", + "condition_col": "wtd_entropy_Valence", + "condition_value": "1.09604328066818", + "positive_value": "1.24943039324213", + "negative_value": "1.09604328066818", + "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": 810.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/artifacts/v2q_n5_e34375e7eaf72ba1/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e34375e7eaf72ba1/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b0804693ac527f88b9526bd38a7677d39f23a436 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e34375e7eaf72ba1/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:30.641271+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": 2968.1, "started_at": "2026-05-19T16:08:27.672305+00:00", "ended_at": "2026-05-19T16:08:30.640434+00:00", "prompt_metrics": {"chars": 45132, "bytes_utf8": 45132, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-e830-7713-9039-fb3a5409489c\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:34.462367+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": 2818.68, "started_at": "2026-05-19T16:08:31.642833+00:00", "ended_at": "2026-05-19T16:08:34.461538+00:00", "prompt_metrics": {"chars": 45132, "bytes_utf8": 45132, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-f7a4-7093-9b4b-ad0205472c3c\"}\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_c/n5/artifacts/v2q_n5_e652a112583ebd25/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e652a112583ebd25/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..e494b28434ace5e54b1b8749ff9ad93769a76ada --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e652a112583ebd25/run_manifest.json @@ -0,0 +1,72 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:08:19.996502+00:00", + "ended_at": "2026-05-19T16:08:27.660843+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_e652a112583ebd25", + "problem_id": "v2p_n5_3799e2f39e80c1d7", + "dataset_id": "n5", + "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=number_of_elements, condition_col=wtd_entropy_Valence.", + "bindings": { + "group_col": "number_of_elements", + "condition_col": "wtd_entropy_Valence", + "condition_value": "1.24943039324213", + "positive_value": "1.24943039324213", + "negative_value": "1.09604328066818", + "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": 810.6, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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", + "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_c/n5/artifacts/v2q_n5_e652a112583ebd25/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e652a112583ebd25/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e7bbce6a272ff52db80e9f872f2318975176b687 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_e652a112583ebd25/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:08:23.388151+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": 3379.67, "started_at": "2026-05-19T16:08:20.007556+00:00", "ended_at": "2026-05-19T16:08:23.387251+00:00", "prompt_metrics": {"chars": 45135, "bytes_utf8": 45135, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-ca48-7b73-ac98-b94f8efbfe1a\"}\n{\"type\":\"turn.started\"}\n{\"type\":\"error\",\"message\":\"Quota exceeded. Check your plan and billing details.\"}\n{\"type\":\"turn.failed\",\"error\":{\"message\":\"Quota exceeded. Check your plan and billing details.\"}}", "error": "AI CLI command failed with exit code 1: "} +{"timestamp": "2026-05-19T16:08:27.660753+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": 3268.96, "started_at": "2026-05-19T16:08:24.390864+00:00", "ended_at": "2026-05-19T16:08:27.659870+00:00", "prompt_metrics": {"chars": 45135, "bytes_utf8": 45135, "lines": 1083, "estimated_tokens": null}, "response_metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "stderr_preview": "", "stdout_preview": "{\"type\":\"thread.started\",\"thread_id\":\"019e40fe-db56-7603-b974-9a63cfd3e572\"}\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_c/n5/artifacts/v2q_n5_f0ce4b1d5a901eca/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f0ce4b1d5a901eca/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d5f0abdd60ef9fe4975137a8890217c548f7140b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f0ce4b1d5a901eca/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:56:02.160475+00:00", + "ended_at": "2026-05-19T15:56:09.701924+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_f0ce4b1d5a901eca", + "problem_id": "v2p_n5_0e873cb79f138f28", + "dataset_id": "n5", + "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=mean_Valence, measure_col=wtd_std_Valence.", + "bindings": { + "group_col": "mean_Valence", + "measure_col": "wtd_std_Valence", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.505632, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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", + "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_c/n5/artifacts/v2q_n5_f0ce4b1d5a901eca/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f0ce4b1d5a901eca/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..125f61d86a92b36ae13f8f26c3802981436b8929 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f0ce4b1d5a901eca/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:56:05.736269+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": 3566.23, "started_at": "2026-05-19T15:56:02.169183+00:00", "ended_at": "2026-05-19T15:56:05.735432+00:00", "prompt_metrics": {"chars": 45378, "bytes_utf8": 45378, "lines": 1080, "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\":\"019e40f3-8803-7fb3-949a-3ca79b9c11b3\"}\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": "2026-05-19T15:56:09.701835+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": 2961.5, "started_at": "2026-05-19T15:56:06.739128+00:00", "ended_at": "2026-05-19T15:56:09.700674+00:00", "prompt_metrics": {"chars": 45378, "bytes_utf8": 45378, "lines": 1080, "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\":\"019e40f3-99e9-7e50-9b12-8d4ff55860df\"}\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_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..3457203706169be2d2add6bd1056ba87d3d6639a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/final_answer.txt @@ -0,0 +1 @@ +No rows were returned for: Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=gmean_Valence, measure_col=gmean_Valence. \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..4f39150c54e2cb4906a5a48a608040d528dd4383 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/generated_sql.sql @@ -0,0 +1,33 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_f6fee279e5dc1d3a +-- problem_id: v2p_n5_0e4401b1af7b09ee +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "gmean_Valence" AS "gmean_Valence", + SUM(CAST("gmean_Valence" AS REAL)) AS "group_value" + FROM "n5" + WHERE "gmean_Valence" IS NOT NULL + AND TRIM("gmean_Valence") <> '' + GROUP BY "gmean_Valence" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."gmean_Valence", + 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_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2e8294b62dec2dc1261402ded11c5f334786f6de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/query_results.jsonl @@ -0,0 +1 @@ +{"step_index": 1, "message_index": 0, "node_name": "v2-cli:codex", "tool_name": "sqlite_query", "query": "-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT\n \"gmean_Valence\" AS \"gmean_Valence\",\n SUM(CAST(\"gmean_Valence\" AS REAL)) AS \"group_value\"\n FROM \"n5\"\n WHERE \"gmean_Valence\" IS NOT NULL\n AND TRIM(\"gmean_Valence\") <> ''\n GROUP BY \"gmean_Valence\"\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT\n g.\"gmean_Valence\",\n g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.1\nORDER BY g.\"group_value\" DESC;", "result": "{\"query\": \"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"gmean_Valence\\\" AS \\\"gmean_Valence\\\",\\n SUM(CAST(\\\"gmean_Valence\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"gmean_Valence\\\" IS NOT NULL\\n AND TRIM(\\\"gmean_Valence\\\") <> ''\\n GROUP BY \\\"gmean_Valence\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"gmean_Valence\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\", \"columns\": [\"gmean_Valence\", \"group_value\"], \"rows\": [], \"row_count_returned\": 0, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 28.92}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2ff1f78f0befda25f1302a6a95284b1db5913758 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/run_manifest.json @@ -0,0 +1,89 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:53:16.623321+00:00", + "ended_at": "2026-05-19T15:53:31.352589+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_f6fee279e5dc1d3a", + "problem_id": "v2p_n5_0e4401b1af7b09ee", + "dataset_id": "n5", + "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=gmean_Valence, measure_col=gmean_Valence.", + "bindings": { + "group_col": "gmean_Valence", + "measure_col": "gmean_Valence", + "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": 2.514867, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'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_c/n5/sql/v2q_n5_f6fee279e5dc1d3a.sql", + "usage_summary": { + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_f6fee279e5dc1d3a", + "api_calls": 0, + "input_tokens": 25718, + "cached_input_tokens": 24960, + "output_tokens": 757, + "total_tokens": 26475, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14685.84, + "sql_execution_elapsed_ms_total": 28.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ec56d60ef5796a8cf0aace531e307024549ac26d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/trace.jsonl @@ -0,0 +1 @@ +{"timestamp": "2026-05-19T15:53:31.322089+00:00", "event_type": "ai_cli_sql_generation", "engine": "v2-cli:codex", "attempt": 1, "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", "returncode": 0, "elapsed_ms": 14685.84, "started_at": "2026-05-19T15:53:16.634506+00:00", "ended_at": "2026-05-19T15:53:31.320381+00:00", "prompt_metrics": {"chars": 45376, "bytes_utf8": 45376, "lines": 1080, "estimated_tokens": null}, "response_metrics": {"chars": 848, "bytes_utf8": 848, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 25718, "cached_input_tokens": 24960, "output_tokens": 757, "reasoning_output_tokens": 503}, "stderr_preview": "", "stdout_preview": "{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT\\n \\\"gmean_Valence\\\" AS \\\"gmean_Valence\\\",\\n SUM(CAST(\\\"gmean_Valence\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"n5\\\"\\n WHERE \\\"gmean_Valence\\\" IS NOT NULL\\n AND TRIM(\\\"gmean_Valence\\\") <> ''\\n GROUP BY \\\"gmean_Valence\\\"\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT\\n g.\\\"gmean_Valence\\\",\\n g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.1\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Uses the provided Relative-to-Total Extreme Threshold template with group_col and measure_col both bound to \\\"gmean_Valence\\\". CAST to REAL is included because the schema stores numeric-looking values as TEXT.\"}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..089713e4f7e090a0b5ea24ef7f75f5f7218cab99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/usage_summary.json @@ -0,0 +1,20 @@ +{ + "dataset_id": "n5", + "model": "v2-cli:codex", + "run_id": "v2q_n5_f6fee279e5dc1d3a", + "api_calls": 0, + "input_tokens": 25718, + "cached_input_tokens": 24960, + "output_tokens": 757, + "total_tokens": 26475, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14685.84, + "sql_execution_elapsed_ms_total": 28.92, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_f6fee279e5dc1d3a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fa77b64a4e76fe00/final_answer.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fa77b64a4e76fe00/final_answer.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc27002a51d73c3aa6e1fbcb5ed2fda85dc3c857 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fa77b64a4e76fe00/final_answer.txt @@ -0,0 +1 @@ +{"row_count": null, "preview_rows": [{"value_label": "1", "support": 7387, "support_share": 0.34741099562620514, "cumulative_support": 7387}, {"value_label": "2", "support": 5131, "support_share": 0.24131119785542962, "cumulative_support": 12518}, {"value_label": "3", "support": 4335, "support_share": 0.2038752763015567, "cumulative_support": 16853}, {"value_label": "4", "support": 2321, "support_share": 0.10915675116399379, "cumulative_support": 19174}, {"value_label": "0", "support": 1398, "support_share": 0.06574801298029441, "cumulative_support": 20572}]} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fa77b64a4e76fe00/generated_sql.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fa77b64a4e76fe00/generated_sql.sql new file mode 100644 index 0000000000000000000000000000000000000000..a8425316fdb2c94ad5ac3132576953c91cbdc662 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fa77b64a4e76fe00/generated_sql.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_fa77b64a4e76fe00 +-- problem_id: v2p_n5_6fed6f69f371bddb +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "range_Valence" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "range_Valence" +), 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_c/n5/artifacts/v2q_n5_fa77b64a4e76fe00/query_results.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fa77b64a4e76fe00/query_results.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a24b13a4753550231b9bb747d2316d29a89c297a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fa77b64a4e76fe00/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_c\n-- sql_source_dataset_id: n5\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_n5_fa77b64a4e76fe00\n-- problem_id: v2p_n5_6fed6f69f371bddb\n-- realization_mode: deterministic\n-- source_kind: deterministic\nWITH grouped AS (\n SELECT \"range_Valence\" AS value_label, COUNT(*) AS support\n FROM \"n5\"\n GROUP BY \"range_Valence\"\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_c\\n-- sql_source_dataset_id: n5\\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_n5_fa77b64a4e76fe00\\n-- problem_id: v2p_n5_6fed6f69f371bddb\\n-- realization_mode: deterministic\\n-- source_kind: deterministic\\nWITH grouped AS (\\n SELECT \\\"range_Valence\\\" AS value_label, COUNT(*) AS support\\n FROM \\\"n5\\\"\\n GROUP BY \\\"range_Valence\\\"\\n), ranked AS (\\n SELECT\\n value_label,\\n support,\\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\\n FROM grouped\\n)\\nSELECT *\\nFROM ranked\\nORDER BY support DESC, value_label;\", \"columns\": [\"value_label\", \"support\", \"support_share\", \"cumulative_support\"], \"rows\": [{\"value_label\": \"1\", \"support\": 7387, \"support_share\": 0.34741099562620514, \"cumulative_support\": 7387}, {\"value_label\": \"2\", \"support\": 5131, \"support_share\": 0.24131119785542962, \"cumulative_support\": 12518}, {\"value_label\": \"3\", \"support\": 4335, \"support_share\": 0.2038752763015567, \"cumulative_support\": 16853}, {\"value_label\": \"4\", \"support\": 2321, \"support_share\": 0.10915675116399379, \"cumulative_support\": 19174}, {\"value_label\": \"0\", \"support\": 1398, \"support_share\": 0.06574801298029441, \"cumulative_support\": 20572}, {\"value_label\": \"5\", \"support\": 686, \"support_share\": 0.03226261581150355, \"cumulative_support\": 21258}, {\"value_label\": \"6\", \"support\": 5, \"support_share\": 0.00023515026101678972, \"cumulative_support\": 21263}], \"row_count_returned\": 7, \"row_limit\": 50, \"truncated\": false, \"elapsed_ms\": 15.07}"} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fa77b64a4e76fe00/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fa77b64a4e76fe00/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..26e282858c457a4a27f5b0cee30a9931d5f5ec07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fa77b64a4e76fe00/run_manifest.json @@ -0,0 +1,57 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:15:36.687200+00:00", + "ended_at": "2026-05-19T16:15:36.703162+00:00", + "status": "completed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_fa77b64a4e76fe00", + "problem_id": "v2p_n5_6fed6f69f371bddb", + "dataset_id": "n5", + "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=range_Valence.", + "bindings": { + "group_col": "range_Valence" + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "enumerate_all_applicable", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col} AS value_label, COUNT(*) AS support\n FROM {table}\n GROUP BY {group_col}\n), ranked AS (\n SELECT\n value_label,\n support,\n CAST(support AS FLOAT) / NULLIF(SUM(support) OVER (), 0) AS support_share,\n SUM(support) OVER (ORDER BY support DESC, value_label ROWS UNBOUNDED PRECEDING) AS cumulative_support\n FROM grouped\n)\nSELECT *\nFROM ranked\nORDER BY support DESC, value_label;", + "notes": [ + "default_facets=support_concentration,value_imbalance_profile", + "template_selection_mode=deterministic", + "problem_index_within_template=6", + "sql_variant_index=1/1" + ], + "template_selection_mode": "deterministic", + "selected_template_rank": 0, + "problem_index_within_template": 6, + "sql_variant_index": 1, + "sql_variant_total": 1 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "generated_sql_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_fa77b64a4e76fe00.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_c/n5/artifacts/v2q_n5_fa77b64a4e76fe00/usage_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fa77b64a4e76fe00/usage_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..96c9ff4feec395919fc26411d18d078b8af6e1c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fa77b64a4e76fe00/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_c/n5/artifacts/v2q_n5_fbf8f3dfc07cc625/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fbf8f3dfc07cc625/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..dcef1153448f6770fd6dfbed68e696d9cb3e3675 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fbf8f3dfc07cc625/run_manifest.json @@ -0,0 +1,69 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T15:56:50.798956+00:00", + "ended_at": "2026-05-19T15:56:58.790433+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_fbf8f3dfc07cc625", + "problem_id": "v2p_n5_3137d67d751af093", + "dataset_id": "n5", + "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=entropy_Valence, measure_col=number_of_elements.", + "bindings": { + "group_col": "entropy_Valence", + "measure_col": "number_of_elements", + "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": 4.64, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col", + "measure_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "notes": [ + "default_facets=tail_ranked_signal", + "template_selection_mode=rule", + "problem_index_within_template=10", + "sql_variant_index=2/2", + "binding_index=81" + ], + "template_selection_mode": "rule", + "selected_template_rank": 7, + "problem_index_within_template": 10, + "sql_variant_index": 2, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "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_c/n5/artifacts/v2q_n5_fbf8f3dfc07cc625/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fbf8f3dfc07cc625/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2c355a874051b13ffcbce03f7acdf710d9df09c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fbf8f3dfc07cc625/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T15:56:54.161483+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": 3351.27, "started_at": "2026-05-19T15:56:50.809364+00:00", "ended_at": "2026-05-19T15:56:54.160664+00:00", "prompt_metrics": {"chars": 45387, "bytes_utf8": 45387, "lines": 1080, "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\":\"019e40f4-460a-7812-988c-d21ce549dbd0\"}\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": "2026-05-19T15:56:58.790342+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": 3625.18, "started_at": "2026-05-19T15:56:55.164103+00:00", "ended_at": "2026-05-19T15:56:58.789333+00:00", "prompt_metrics": {"chars": 45387, "bytes_utf8": 45387, "lines": 1080, "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\":\"019e40f4-56fe-7f70-be8c-3c6ac39410ea\"}\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_c/n5/artifacts/v2q_n5_fca5623cf8fdcea0/run_manifest.json b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fca5623cf8fdcea0/run_manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..54e59497973211e93af14e179cc8e6b9259417f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fca5623cf8fdcea0/run_manifest.json @@ -0,0 +1,67 @@ +{ + "run_id": "v2_cli_20260502_081223_c", + "dataset_id": "n5", + "started_at": "2026-05-19T16:12:16.270744+00:00", + "ended_at": "2026-05-19T16:12:23.751840+00:00", + "status": "failed", + "engine": "cli", + "question_record": { + "query_record_id": "v2q_n5_fca5623cf8fdcea0", + "problem_id": "v2p_n5_38e4ab1e2f27b990", + "dataset_id": "n5", + "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=range_Valence.", + "bindings": { + "group_col": "range_Valence", + "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": 58.753724, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "binding_roles": [ + "group_col" + ], + "coverage_target_min": "5", + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "notes": [ + "default_facets=low_support_extremes", + "template_selection_mode=rule", + "problem_index_within_template=5", + "sql_variant_index=1/2", + "binding_index=124" + ], + "template_selection_mode": "rule", + "selected_template_rank": 11, + "problem_index_within_template": 5, + "sql_variant_index": 1, + "sql_variant_total": 2 + }, + "mode": "subitem_workload_v2", + "sql_source_version": "v2", + "sql_source_label": "v2_current", + "error": "AI CLI command failed with exit code 1: " +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fca5623cf8fdcea0/trace.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fca5623cf8fdcea0/trace.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0925e28014b91a5fb1e82a58107f97ed702e976c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/artifacts/v2q_n5_fca5623cf8fdcea0/trace.jsonl @@ -0,0 +1,2 @@ +{"timestamp": "2026-05-19T16:12:19.558111+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": 3275.1, "started_at": "2026-05-19T16:12:16.281770+00:00", "ended_at": "2026-05-19T16:12:19.556903+00:00", "prompt_metrics": {"chars": 44801, "bytes_utf8": 44801, "lines": 1078, "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\":\"019e4102-6512-79b3-b9b2-6f4401a3add8\"}\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": "2026-05-19T16:12:23.751751+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": 3191.23, "started_at": "2026-05-19T16:12:20.559646+00:00", "ended_at": "2026-05-19T16:12:23.750908+00:00", "prompt_metrics": {"chars": 44801, "bytes_utf8": 44801, "lines": 1078, "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\":\"019e4102-75e7-7f33-8163-2153fb0d98d1\"}\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_c/n5/sql/v2q_n5_0048c971768c6102.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_0048c971768c6102.sql new file mode 100644 index 0000000000000000000000000000000000000000..d3ed3fda8f05bd374a91b20286f8d3cb5b4ed3f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_0048c971768c6102.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_0048c971768c6102 +-- problem_id: v2p_n5_59e89144efb2e7a4 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "gmean_Valence" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "gmean_Valence" +) +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_c/n5/sql/v2q_n5_0179f87b88b6b25f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_0179f87b88b6b25f.sql new file mode 100644 index 0000000000000000000000000000000000000000..cd4f694579d2bfc1740713a24a2253749effda21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_0179f87b88b6b25f.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_0179f87b88b6b25f +-- problem_id: v2p_n5_0e33862fa5599e89 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("range_atomic_radius" AS REAL) AS "range_atomic_radius", CAST("gmean_Valence" AS REAL) AS "gmean_Valence", COUNT(*) AS "row_count" +FROM "n5" +WHERE CAST("std_ElectronAffinity" AS REAL) >= 54.830755 +GROUP BY CAST("range_atomic_radius" AS REAL), CAST("gmean_Valence" AS REAL) +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_040d997a9cac4d1d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_040d997a9cac4d1d.sql new file mode 100644 index 0000000000000000000000000000000000000000..95114ab8ce755df72a17118b7d61e9dc3ae6af33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_040d997a9cac4d1d.sql @@ -0,0 +1,64 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_040d997a9cac4d1d +-- problem_id: v2p_n5_da36b82a5fbd27dd +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "range_Valence" AS "group_col", + CAST("wtd_range_atomic_mass" AS REAL) AS "measure_col" + FROM "n5" + WHERE "range_Valence" IS NOT NULL + AND "wtd_range_atomic_mass" IS NOT NULL +), +"ranked" AS ( + SELECT + "group_col", + "measure_col", + ROW_NUMBER() OVER (PARTITION BY "group_col" ORDER BY "measure_col") AS "rn", + COUNT(*) OVER (PARTITION BY "group_col") AS "cnt" + FROM "base" +), +"pos" AS ( + SELECT DISTINCT + "group_col", + "cnt", + (0.95 * ("cnt" - 1) + 1.0) AS "p", + CAST((0.95 * ("cnt" - 1) + 1.0) AS INTEGER) AS "lo", + CASE + WHEN (0.95 * ("cnt" - 1) + 1.0) = CAST((0.95 * ("cnt" - 1) + 1.0) AS INTEGER) + THEN CAST((0.95 * ("cnt" - 1) + 1.0) AS INTEGER) + ELSE CAST((0.95 * ("cnt" - 1) + 1.0) AS INTEGER) + 1 + END AS "hi" + FROM "ranked" +), +"picked" AS ( + SELECT + p."group_col", + p."cnt", + p."p", + MAX(CASE WHEN r."rn" = p."lo" THEN r."measure_col" END) AS "lo_val", + MAX(CASE WHEN r."rn" = p."hi" THEN r."measure_col" END) AS "hi_val" + FROM "pos" AS p + JOIN "ranked" AS r + ON r."group_col" = p."group_col" + GROUP BY p."group_col", p."cnt", p."p" +) +SELECT + "group_col" AS "range_Valence", + CASE + WHEN "lo_val" IS NULL THEN NULL + WHEN "hi_val" IS NULL OR "lo_val" = "hi_val" OR "p" = CAST("p" AS INTEGER) THEN "lo_val" + ELSE "lo_val" + (("p" - CAST("p" AS INTEGER)) * ("hi_val" - "lo_val")) + END AS "percentile_measure" +FROM "picked" +WHERE "cnt" >= 5 +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_044386a1204bf95b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_044386a1204bf95b.sql new file mode 100644 index 0000000000000000000000000000000000000000..10371e426668dd925f5439056dda44069c4bc70e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_044386a1204bf95b.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_044386a1204bf95b +-- problem_id: v2p_n5_e0642f1bd03cf4f2 +-- realization_mode: agent +-- source_kind: agent +SELECT + "range_Valence", + "wtd_range_atomic_radius", + SUM(CAST(NULLIF("wtd_entropy_atomic_radius", '') AS REAL)) AS total_measure, + SUM(CAST(NULLIF("wtd_entropy_atomic_radius", '') AS REAL)) * 100.0 + / SUM(SUM(CAST(NULLIF("wtd_entropy_atomic_radius", '') AS REAL))) OVER (PARTITION BY "range_Valence") AS share_within_group +FROM "n5" +WHERE NULLIF("range_Valence", '') IS NOT NULL + AND NULLIF("wtd_range_atomic_radius", '') IS NOT NULL + AND NULLIF("wtd_entropy_atomic_radius", '') IS NOT NULL +GROUP BY "range_Valence", "wtd_range_atomic_radius" +ORDER BY share_within_group DESC +LIMIT 11; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_04570f29ef78ff0c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_04570f29ef78ff0c.sql new file mode 100644 index 0000000000000000000000000000000000000000..8ac7aea82defa207b2adce83badb0d37c26bee33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_04570f29ef78ff0c.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_04570f29ef78ff0c +-- problem_id: v2p_n5_03bfcb75109161fd +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("gmean_Valence" AS REAL) AS "gmean_Valence", + CAST("wtd_entropy_atomic_radius" AS REAL) AS "wtd_entropy_atomic_radius", + SUM(CAST("wtd_gmean_atomic_radius" AS REAL)) AS "total_measure", + SUM(CAST("wtd_gmean_atomic_radius" AS REAL)) * 100.0 / SUM(SUM(CAST("wtd_gmean_atomic_radius" AS REAL))) OVER (PARTITION BY CAST("gmean_Valence" AS REAL)) AS "share_within_group" +FROM "n5" +WHERE "gmean_Valence" IS NOT NULL + AND "wtd_entropy_atomic_radius" IS NOT NULL + AND "wtd_gmean_atomic_radius" IS NOT NULL +GROUP BY CAST("gmean_Valence" AS REAL), CAST("wtd_entropy_atomic_radius" AS REAL) +ORDER BY "share_within_group" DESC +LIMIT 19; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_04fa59130a43451e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_04fa59130a43451e.sql new file mode 100644 index 0000000000000000000000000000000000000000..445ebe55a2669465b8f0d47d4292b8fa8c6d2ab9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_04fa59130a43451e.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_04fa59130a43451e +-- problem_id: v2p_n5_c5744a896ad656cc +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("wtd_mean_ThermalConductivity" AS REAL) AS "wtd_mean_ThermalConductivity", + NTILE(10) OVER (ORDER BY CAST("wtd_mean_ThermalConductivity" AS REAL) DESC) AS tail_bucket + FROM "n5" + WHERE "wtd_mean_ThermalConductivity" IS NOT NULL + AND TRIM("wtd_mean_ThermalConductivity") <> '' +) +SELECT "wtd_mean_ThermalConductivity" +FROM buckets +WHERE tail_bucket = 1 +ORDER BY "wtd_mean_ThermalConductivity" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_08e36e6d84a4bdab.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_08e36e6d84a4bdab.sql new file mode 100644 index 0000000000000000000000000000000000000000..53daeaa02944ee10b8071ebdad5353d5739774d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_08e36e6d84a4bdab.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_08e36e6d84a4bdab +-- problem_id: v2p_n5_e9fe86cd3737d835 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + CAST(NULLIF("entropy_ThermalConductivity", '') AS REAL) AS "entropy_ThermalConductivity", + NTILE(10) OVER ( + ORDER BY CAST(NULLIF("entropy_ThermalConductivity", '') AS REAL) DESC + ) AS "tail_bucket" + FROM "n5" + WHERE NULLIF("entropy_ThermalConductivity", '') IS NOT NULL +) +SELECT "entropy_ThermalConductivity" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "entropy_ThermalConductivity" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_0984d6d8caa95baf.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_0984d6d8caa95baf.sql new file mode 100644 index 0000000000000000000000000000000000000000..14a73a3c741cc6cc1a9be26575a1fc12539d88bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_0984d6d8caa95baf.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_0984d6d8caa95baf +-- problem_id: v2p_n5_2d25a700ead4b366 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "gmean_atomic_mass", + COUNT(*) AS support, + AVG("number_of_elements") AS avg_response +FROM "n5" +GROUP BY "gmean_atomic_mass" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_0d00a6db4539e50e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_0d00a6db4539e50e.sql new file mode 100644 index 0000000000000000000000000000000000000000..af8543e2e48fb34566f01f0b792f893baa2bf195 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_0d00a6db4539e50e.sql @@ -0,0 +1,34 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_0d00a6db4539e50e +-- problem_id: v2p_n5_d625e6447eef8596 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "range_Valence" AS "range_Valence", + SUM(CAST("entropy_Valence" AS REAL)) AS group_value + FROM "n5" + WHERE "range_Valence" IS NOT NULL + AND TRIM("range_Valence") <> '' + AND "entropy_Valence" IS NOT NULL + AND TRIM("entropy_Valence") <> '' + GROUP BY "range_Valence" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT + g."range_Valence", + 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_c/n5/sql/v2q_n5_12e54a34f7cde465.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_12e54a34f7cde465.sql new file mode 100644 index 0000000000000000000000000000000000000000..cc66801944406a6697deaa29610ca7847bc17ab0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_12e54a34f7cde465.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_12e54a34f7cde465 +-- problem_id: v2p_n5_dfc1c2d7d4372981 +-- realization_mode: agent +-- source_kind: agent +SELECT "gmean_Valence", "wtd_entropy_atomic_radius", + SUM(CAST("wtd_gmean_atomic_radius" AS REAL)) AS total_measure, + SUM(CAST("wtd_gmean_atomic_radius" AS REAL)) * 100.0 / SUM(SUM(CAST("wtd_gmean_atomic_radius" AS REAL))) OVER (PARTITION BY "gmean_Valence") AS share_within_group +FROM "n5" +WHERE "gmean_Valence" IS NOT NULL + AND "wtd_entropy_atomic_radius" IS NOT NULL + AND "wtd_gmean_atomic_radius" IS NOT NULL + AND TRIM("gmean_Valence") <> '' + AND TRIM("wtd_entropy_atomic_radius") <> '' + AND TRIM("wtd_gmean_atomic_radius") <> '' +GROUP BY "gmean_Valence", "wtd_entropy_atomic_radius" +ORDER BY share_within_group DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_134b021ee52c66cd.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_134b021ee52c66cd.sql new file mode 100644 index 0000000000000000000000000000000000000000..aba41bfef2211f40076b2b8dd07e6a7fce9d54b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_134b021ee52c66cd.sql @@ -0,0 +1,81 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_134b021ee52c66cd +-- problem_id: v2p_n5_c75394ba096f8c84 +-- realization_mode: agent +-- source_kind: agent +WITH "typed" AS ( + SELECT + CAST("gmean_Valence" AS REAL) AS "gmean_Valence", + CAST("wtd_entropy_atomic_mass" AS REAL) AS "wtd_entropy_atomic_mass" + FROM "n5" + WHERE NULLIF(TRIM("gmean_Valence"), '') IS NOT NULL + AND NULLIF(TRIM("wtd_entropy_atomic_mass"), '') IS NOT NULL +), +"ranked" AS ( + SELECT + "gmean_Valence", + "wtd_entropy_atomic_mass", + ROW_NUMBER() OVER ( + PARTITION BY "gmean_Valence" + ORDER BY "wtd_entropy_atomic_mass" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "gmean_Valence" + ) AS "cnt" + FROM "typed" +), +"group_stats" AS ( + SELECT + "gmean_Valence", + MAX("cnt") AS "cnt", + 1.0 + (0.9 * (MAX("cnt") - 1)) AS "pos", + CAST(1.0 + (0.9 * (MAX("cnt") - 1)) AS INTEGER) AS "lower_rn" + FROM "ranked" + GROUP BY "gmean_Valence" +), +"picked" AS ( + SELECT + gs."gmean_Valence", + gs."cnt", + gs."pos", + gs."lower_rn", + CASE + WHEN gs."pos" > gs."lower_rn" THEN gs."lower_rn" + 1 + ELSE gs."lower_rn" + END AS "upper_rn", + MAX(CASE WHEN r."rn" = gs."lower_rn" THEN r."wtd_entropy_atomic_mass" END) AS "lower_val", + MAX( + CASE + WHEN r."rn" = CASE + WHEN gs."pos" > gs."lower_rn" THEN gs."lower_rn" + 1 + ELSE gs."lower_rn" + END THEN r."wtd_entropy_atomic_mass" + END + ) AS "upper_val" + FROM "group_stats" AS gs + JOIN "ranked" AS r + ON r."gmean_Valence" = gs."gmean_Valence" + GROUP BY + gs."gmean_Valence", + gs."cnt", + gs."pos", + gs."lower_rn" +) +SELECT + "gmean_Valence", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + (("pos" - "lower_rn") * ("upper_val" - "lower_val")) + END AS "percentile_measure" +FROM "picked" +WHERE "cnt" >= 5 +ORDER BY "percentile_measure" DESC, "gmean_Valence" ASC +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_15114f2c766e2f3e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_15114f2c766e2f3e.sql new file mode 100644 index 0000000000000000000000000000000000000000..1a61348fe43912a65e82618a93a06e8bc68f699b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_15114f2c766e2f3e.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_15114f2c766e2f3e +-- problem_id: v2p_n5_cd380394a74ef194 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "wtd_gmean_atomic_mass", + COUNT(*) AS support, + AVG("gmean_atomic_mass") AS avg_response +FROM "n5" +GROUP BY "wtd_gmean_atomic_mass" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_15fffb8b6e3b8e23.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_15fffb8b6e3b8e23.sql new file mode 100644 index 0000000000000000000000000000000000000000..52c7b18f32be585fd851f3d7ea6fcf0a3966b3d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_15fffb8b6e3b8e23.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_15fffb8b6e3b8e23 +-- problem_id: v2p_n5_f23e2063cbee862c +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("gmean_Valence" AS REAL) AS "gmean_Valence", SUM(CAST("gmean_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +GROUP BY CAST("gmean_Valence" AS REAL) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_1997776353e31157.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_1997776353e31157.sql new file mode 100644 index 0000000000000000000000000000000000000000..c98914d16ecb6b07686212930e68cf1ffd6490ba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_1997776353e31157.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_1997776353e31157 +-- problem_id: v2p_n5_8b6618666b4a01d6 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("entropy_Valence" AS REAL) AS "entropy_Valence", SUM(CAST("wtd_gmean_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +GROUP BY CAST("entropy_Valence" AS REAL) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_19e8ac22f56ce4c0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_19e8ac22f56ce4c0.sql new file mode 100644 index 0000000000000000000000000000000000000000..fa1394df7a3da0f10a0a05dbd30bd8057842cfa8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_19e8ac22f56ce4c0.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_19e8ac22f56ce4c0 +-- problem_id: v2p_n5_f911dc72305c9709 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("range_atomic_radius" AS REAL) AS "range_atomic_radius", SUM(CAST("mean_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +WHERE "range_atomic_radius" IS NOT NULL + AND "mean_atomic_mass" IS NOT NULL +GROUP BY CAST("range_atomic_radius" AS REAL) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_1b92cc292ec10cc9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_1b92cc292ec10cc9.sql new file mode 100644 index 0000000000000000000000000000000000000000..42364ebcb66106027d511980dac50a2ddf09f7a6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_1b92cc292ec10cc9.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_1b92cc292ec10cc9 +-- problem_id: v2p_n5_6920d31429230991 +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT CAST("entropy_Valence" AS REAL) AS "entropy_Valence", SUM(CAST("wtd_gmean_Valence" AS REAL)) AS "group_value" + FROM "n5" + WHERE "entropy_Valence" IS NOT NULL + AND "wtd_gmean_Valence" IS NOT NULL + GROUP BY CAST("entropy_Valence" AS REAL) +), "total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT "g"."entropy_Valence", "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_c/n5/sql/v2q_n5_1ebf61ef2de916d9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_1ebf61ef2de916d9.sql new file mode 100644 index 0000000000000000000000000000000000000000..0f9b1ca118eaf87416121bd65ebd0e0c6a60f915 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_1ebf61ef2de916d9.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_1ebf61ef2de916d9 +-- problem_id: v2p_n5_33e98660b144bb22 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "mean_Valence", SUM(CAST("wtd_mean_Valence" AS REAL)) AS "group_value" + FROM "n5" + GROUP BY "mean_Valence" +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT g."mean_Valence", 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_c/n5/sql/v2q_n5_20a0d8d2c2bedd91.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_20a0d8d2c2bedd91.sql new file mode 100644 index 0000000000000000000000000000000000000000..9bfa553d27e9bb2904a76a95e72bb1d585abceb8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_20a0d8d2c2bedd91.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_20a0d8d2c2bedd91 +-- problem_id: v2p_n5_52901e7bca9324b3 +-- realization_mode: agent +-- source_kind: agent +SELECT "gmean_Valence", + AVG(CASE WHEN "range_Valence" = '1' THEN 1 ELSE 0 END) AS "condition_rate" +FROM "n5" +GROUP BY "gmean_Valence" +ORDER BY "condition_rate" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_226fd17a1a13aad3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_226fd17a1a13aad3.sql new file mode 100644 index 0000000000000000000000000000000000000000..6e691d4687b289f9bd46078fc4296f93295107ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_226fd17a1a13aad3.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_226fd17a1a13aad3 +-- problem_id: v2p_n5_7681f047f43dc1db +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "wtd_entropy_atomic_mass", + COUNT(*) AS support, + AVG("wtd_mean_atomic_mass") AS avg_response +FROM "n5" +GROUP BY "wtd_entropy_atomic_mass" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_2278a79737dd1c63.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_2278a79737dd1c63.sql new file mode 100644 index 0000000000000000000000000000000000000000..5c05dc9102639c518684ffb1fd1a5f9cde1612f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_2278a79737dd1c63.sql @@ -0,0 +1,30 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_2278a79737dd1c63 +-- problem_id: v2p_n5_f86061c2245077ac +-- realization_mode: agent +-- source_kind: agent +SELECT + CAST(NULLIF("range_atomic_radius", '') AS REAL) AS "range_atomic_radius", + CAST(NULLIF("mean_Density", '') AS REAL) AS "mean_Density", + SUM(CAST(NULLIF("std_atomic_radius", '') AS REAL)) AS "total_measure", + SUM(CAST(NULLIF("std_atomic_radius", '') AS REAL)) * 100.0 / + SUM(SUM(CAST(NULLIF("std_atomic_radius", '') AS REAL))) OVER ( + PARTITION BY CAST(NULLIF("range_atomic_radius", '') AS REAL) + ) AS "share_within_group" +FROM "n5" +WHERE NULLIF("range_atomic_radius", '') IS NOT NULL + AND NULLIF("mean_Density", '') IS NOT NULL + AND NULLIF("std_atomic_radius", '') IS NOT NULL +GROUP BY + CAST(NULLIF("range_atomic_radius", '') AS REAL), + CAST(NULLIF("mean_Density", '') AS REAL) +ORDER BY "share_within_group" DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_23b4ae55df218189.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_23b4ae55df218189.sql new file mode 100644 index 0000000000000000000000000000000000000000..291349909513022f354cb837e73c1986d0ec2fd3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_23b4ae55df218189.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_23b4ae55df218189 +-- problem_id: v2p_n5_0fd46072be36dd5c +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("gmean_Valence" AS REAL) AS "gmean_Valence", SUM(CAST("gmean_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +WHERE "gmean_Valence" IS NOT NULL + AND TRIM("gmean_Valence") <> '' + AND "gmean_atomic_mass" IS NOT NULL + AND TRIM("gmean_atomic_mass") <> '' +GROUP BY CAST("gmean_Valence" AS REAL) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_25fc06f6558e84ab.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_25fc06f6558e84ab.sql new file mode 100644 index 0000000000000000000000000000000000000000..58ccec5f92d289fb861e84df7551a1c527d7f538 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_25fc06f6558e84ab.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_25fc06f6558e84ab +-- problem_id: v2p_n5_298c47b39f28f5f6 +-- realization_mode: agent +-- source_kind: agent +SELECT "range_Valence", COUNT(*) AS "row_count" +FROM "n5" +GROUP BY "range_Valence" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_262608dd05ede157.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_262608dd05ede157.sql new file mode 100644 index 0000000000000000000000000000000000000000..7adbc94a0ccdc9de4da8b886ae2b837eb2f6d797 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_262608dd05ede157.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_262608dd05ede157 +-- problem_id: v2p_n5_41409de183fdee9e +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "entropy_Valence" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "entropy_Valence" +) +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_c/n5/sql/v2q_n5_265df1bd7b2981d2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_265df1bd7b2981d2.sql new file mode 100644 index 0000000000000000000000000000000000000000..fef64d45ed33d71afc07e070d0c4d395603ca239 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_265df1bd7b2981d2.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_265df1bd7b2981d2 +-- problem_id: v2p_n5_1825d2e8c50b14c3 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("entropy_Valence" AS REAL) AS "entropy_Valence", SUM(CAST("wtd_gmean_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +GROUP BY CAST("entropy_Valence" AS REAL) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_275ae29d1a1dd8f0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_275ae29d1a1dd8f0.sql new file mode 100644 index 0000000000000000000000000000000000000000..436c47aae79988053db988cb1d3b6e667f56bcf9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_275ae29d1a1dd8f0.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_275ae29d1a1dd8f0 +-- problem_id: v2p_n5_b4af29ea5225d8be +-- realization_mode: agent +-- source_kind: agent +SELECT "number_of_elements", SUM(CAST("number_of_elements" AS NUMERIC)) AS "total_measure" +FROM "n5" +GROUP BY "number_of_elements" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_2b051b0c0c319339.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_2b051b0c0c319339.sql new file mode 100644 index 0000000000000000000000000000000000000000..2844e8c3296c92d72052543b9d646965c36b8ba3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_2b051b0c0c319339.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_2b051b0c0c319339 +-- problem_id: v2p_n5_8a0d4cf29580f1ef +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "std_Valence" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "std_Valence" +) +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_c/n5/sql/v2q_n5_2b618424b5673137.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_2b618424b5673137.sql new file mode 100644 index 0000000000000000000000000000000000000000..532852577166261a432be8e9f8017620b6ae37f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_2b618424b5673137.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_2b618424b5673137 +-- problem_id: v2p_n5_de196e891c00f6ac +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "range_fie", + COUNT(*) AS support, + AVG("gmean_atomic_mass") AS avg_response +FROM "n5" +GROUP BY "range_fie" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_2b9ec209fd4f291f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_2b9ec209fd4f291f.sql new file mode 100644 index 0000000000000000000000000000000000000000..7b4c67881c9e1c1ae5462ff46e1b164ecbb7da64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_2b9ec209fd4f291f.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_2b9ec209fd4f291f +-- problem_id: v2p_n5_2c84b146421ca7c1 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "mean_Valence" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "mean_Valence" +), 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_c/n5/sql/v2q_n5_2f3f63646c8e391f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_2f3f63646c8e391f.sql new file mode 100644 index 0000000000000000000000000000000000000000..82380c0459709f7607cc02ca2b39ca0c575eea0a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_2f3f63646c8e391f.sql @@ -0,0 +1,65 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_2f3f63646c8e391f +-- problem_id: v2p_n5_dce19e4e386d2d3b +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + CAST(NULLIF(TRIM("mean_Valence"), '') AS REAL) AS "mean_Valence", + CAST(NULLIF(TRIM("entropy_atomic_mass"), '') AS REAL) AS "entropy_atomic_mass", + ROW_NUMBER() OVER ( + PARTITION BY CAST(NULLIF(TRIM("mean_Valence"), '') AS REAL) + ORDER BY CAST(NULLIF(TRIM("entropy_atomic_mass"), '') AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY CAST(NULLIF(TRIM("mean_Valence"), '') AS REAL) + ) AS "cnt" + FROM "n5" + WHERE NULLIF(TRIM("mean_Valence"), '') IS NOT NULL + AND NULLIF(TRIM("entropy_atomic_mass"), '') IS NOT NULL +), +"positioned" AS ( + SELECT + "mean_Valence", + "entropy_atomic_mass", + "rn", + "cnt", + (0.9 * ("cnt" - 1) + 1.0) AS "pos", + CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER) AS "lower_rn", + CASE + WHEN (0.9 * ("cnt" - 1) + 1.0) = CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER) + THEN CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER) + ELSE CAST((0.9 * ("cnt" - 1) + 1.0) AS INTEGER) + 1 + END AS "upper_rn" + FROM "ranked" +), +"grouped" AS ( + SELECT + "mean_Valence", + MAX("cnt") AS "cnt", + MAX("pos") AS "pos", + MAX("lower_rn") AS "lower_rn", + MAX("upper_rn") AS "upper_rn", + MAX(CASE WHEN "rn" = "lower_rn" THEN "entropy_atomic_mass" END) AS "lower_val", + MAX(CASE WHEN "rn" = "upper_rn" THEN "entropy_atomic_mass" END) AS "upper_val" + FROM "positioned" + GROUP BY "mean_Valence" +) +SELECT + "mean_Valence", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val") + END AS "percentile_measure" +FROM "grouped" +WHERE "cnt" >= 5 +ORDER BY "percentile_measure" DESC +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_2f98d29b5df642e4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_2f98d29b5df642e4.sql new file mode 100644 index 0000000000000000000000000000000000000000..287a5d8d86d178aae2a8235801d62a39562e2e99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_2f98d29b5df642e4.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_2f98d29b5df642e4 +-- problem_id: v2p_n5_b5dbbfae6fe1ec49 +-- realization_mode: agent +-- source_kind: agent +SELECT + "gmean_Valence", + "gmean_Density", + SUM(CAST("mean_Density" AS REAL)) AS "total_measure", + SUM(CAST("mean_Density" AS REAL)) * 100.0 / SUM(SUM(CAST("mean_Density" AS REAL))) OVER (PARTITION BY "gmean_Valence") AS "share_within_group" +FROM "n5" +WHERE "gmean_Valence" IS NOT NULL + AND "gmean_Valence" <> '' + AND "gmean_Density" IS NOT NULL + AND "gmean_Density" <> '' + AND "mean_Density" IS NOT NULL + AND "mean_Density" <> '' +GROUP BY "gmean_Valence", "gmean_Density" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_30d6f37d22552b1a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_30d6f37d22552b1a.sql new file mode 100644 index 0000000000000000000000000000000000000000..40de5b6c7f292829937482c877668b734e85bef3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_30d6f37d22552b1a.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_30d6f37d22552b1a +-- problem_id: v2p_n5_e90eea5a2f77ab1e +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("range_atomic_radius" AS REAL) AS "range_atomic_radius", SUM(CAST("mean_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +WHERE "range_atomic_radius" IS NOT NULL + AND "mean_atomic_mass" IS NOT NULL +GROUP BY CAST("range_atomic_radius" AS REAL) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_373e0b47a5f48352.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_373e0b47a5f48352.sql new file mode 100644 index 0000000000000000000000000000000000000000..d756b1c29782dcc31042f4e647da01c9b84a9b0b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_373e0b47a5f48352.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_373e0b47a5f48352 +-- problem_id: v2p_n5_f110d6b71ad6dd74 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "std_Valence" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "std_Valence" +), 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_c/n5/sql/v2q_n5_3856938692e1cc35.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3856938692e1cc35.sql new file mode 100644 index 0000000000000000000000000000000000000000..1f2f90a1e897bc2c65e2eaf91846a85dcd0eab70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3856938692e1cc35.sql @@ -0,0 +1,59 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_3856938692e1cc35 +-- problem_id: v2p_n5_17b01f820f345134 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "number_of_elements" AS "group_col", + CAST("wtd_std_atomic_mass" AS REAL) AS "measure", + ROW_NUMBER() OVER ( + PARTITION BY "number_of_elements" + ORDER BY CAST("wtd_std_atomic_mass" AS REAL) + ) AS "rn", + COUNT(*) OVER (PARTITION BY "number_of_elements") AS "cnt" + FROM "n5" + WHERE "number_of_elements" IS NOT NULL + AND "wtd_std_atomic_mass" IS NOT NULL +), +"positions" AS ( + SELECT + "group_col", + "measure", + "rn", + "cnt", + (1.0 + (0.95 * ("cnt" - 1))) AS "pos", + CAST((1.0 + (0.95 * ("cnt" - 1))) AS INTEGER) AS "lo_rn", + CASE + WHEN (1.0 + (0.95 * ("cnt" - 1))) = CAST((1.0 + (0.95 * ("cnt" - 1))) AS INTEGER) + THEN CAST((1.0 + (0.95 * ("cnt" - 1))) AS INTEGER) + ELSE CAST((1.0 + (0.95 * ("cnt" - 1))) AS INTEGER) + 1 + END AS "hi_rn" + FROM "ranked" +), +"percentile_bounds" AS ( + SELECT + "group_col", + MAX(CASE WHEN "rn" = "lo_rn" THEN "measure" END) AS "lo_measure", + MAX(CASE WHEN "rn" = "hi_rn" THEN "measure" END) AS "hi_measure", + MAX("pos") AS "pos", + MAX("lo_rn") AS "lo_rn" + FROM "positions" + GROUP BY "group_col" +) +SELECT + "group_col" AS "number_of_elements", + CASE + WHEN "pos" = "lo_rn" THEN "lo_measure" + ELSE "lo_measure" + (("pos" - "lo_rn") * ("hi_measure" - "lo_measure")) + END AS "percentile_measure" +FROM "percentile_bounds" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3a2e50b10735cab6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3a2e50b10735cab6.sql new file mode 100644 index 0000000000000000000000000000000000000000..4084cc91dd180a3e7d4637531b1547c85476e32e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3a2e50b10735cab6.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_3a2e50b10735cab6 +-- problem_id: v2p_n5_9f55e8540d44995e +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "wtd_entropy_fie", + COUNT(*) AS support, + AVG("number_of_elements") AS avg_response +FROM "n5" +GROUP BY "wtd_entropy_fie" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3a8b18bb8bfeab9e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3a8b18bb8bfeab9e.sql new file mode 100644 index 0000000000000000000000000000000000000000..8b2a9f2dc23422ffa2911f4fa7fe721e2b68ebe0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3a8b18bb8bfeab9e.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_3a8b18bb8bfeab9e +-- problem_id: v2p_n5_796e4073c31b5585 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("range_atomic_radius" AS REAL) AS "range_atomic_radius", CAST("range_Valence" AS REAL) AS "range_Valence", COUNT(*) AS "row_count" +FROM "n5" +WHERE CAST("mean_FusionHeat" AS REAL) >= 8.1805 +GROUP BY CAST("range_atomic_radius" AS REAL), CAST("range_Valence" AS REAL) +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3b5e7d3c53e091a7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3b5e7d3c53e091a7.sql new file mode 100644 index 0000000000000000000000000000000000000000..3c946efa6176eaed231d913623dbd30b90b19426 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3b5e7d3c53e091a7.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_3b5e7d3c53e091a7 +-- problem_id: v2p_n5_07b6f11c7f890de4 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "range_atomic_radius" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "range_atomic_radius" +), 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_c/n5/sql/v2q_n5_3d277559dadb87d4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3d277559dadb87d4.sql new file mode 100644 index 0000000000000000000000000000000000000000..befc4d3950fc61d5d174a5bce1f6f0a505e152fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3d277559dadb87d4.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_3d277559dadb87d4 +-- problem_id: v2p_n5_17053637a3a4e5f4 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "std_fie", + COUNT(*) AS support, + AVG("mean_atomic_mass") AS avg_response +FROM "n5" +GROUP BY "std_fie" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3d7c957aaf7c0a5f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3d7c957aaf7c0a5f.sql new file mode 100644 index 0000000000000000000000000000000000000000..6f0a36bce998340743f933f8a5ebda9cba6b37f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_3d7c957aaf7c0a5f.sql @@ -0,0 +1,60 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_3d7c957aaf7c0a5f +-- problem_id: v2p_n5_cc1012e4aa6d318e +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + CAST("std_Valence" AS REAL) AS "group_val", + CAST("std_atomic_mass" AS REAL) AS "measure_val" + FROM "n5" + WHERE "std_Valence" IS NOT NULL + AND "std_atomic_mass" IS NOT NULL + AND TRIM("std_Valence") <> '' + AND TRIM("std_atomic_mass") <> '' +), +"ordered" AS ( + SELECT + "group_val", + "measure_val", + ROW_NUMBER() OVER (PARTITION BY "group_val" ORDER BY "measure_val") AS "rn", + COUNT(*) OVER (PARTITION BY "group_val") AS "cnt" + FROM "base" +), +"ranks" AS ( + SELECT DISTINCT + "group_val", + "cnt", + 1.0 + ("cnt" - 1) * 0.95 AS "pos", + CAST(1.0 + ("cnt" - 1) * 0.95 AS INTEGER) AS "lo_rn", + CASE + WHEN (1.0 + ("cnt" - 1) * 0.95) = CAST(1.0 + ("cnt" - 1) * 0.95 AS INTEGER) + THEN CAST(1.0 + ("cnt" - 1) * 0.95 AS INTEGER) + ELSE CAST(1.0 + ("cnt" - 1) * 0.95 AS INTEGER) + 1 + END AS "hi_rn", + (1.0 + ("cnt" - 1) * 0.95) - CAST(1.0 + ("cnt" - 1) * 0.95 AS INTEGER) AS "frac" + FROM "ordered" + WHERE "cnt" >= 5 +) +SELECT + "r"."group_val" AS "std_Valence", + CASE + WHEN "r"."lo_rn" = "r"."hi_rn" THEN "lo"."measure_val" + ELSE "lo"."measure_val" + ("hi"."measure_val" - "lo"."measure_val") * "r"."frac" + END AS "percentile_measure" +FROM "ranks" AS "r" +JOIN "ordered" AS "lo" + ON "lo"."group_val" = "r"."group_val" + AND "lo"."rn" = "r"."lo_rn" +JOIN "ordered" AS "hi" + ON "hi"."group_val" = "r"."group_val" + AND "hi"."rn" = "r"."hi_rn" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_40006e0b5d9cfe18.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_40006e0b5d9cfe18.sql new file mode 100644 index 0000000000000000000000000000000000000000..402e2d022786ded9f4588c26ed9aef31a7e98c2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_40006e0b5d9cfe18.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_40006e0b5d9cfe18 +-- problem_id: v2p_n5_7312fcf513aa3433 +-- realization_mode: agent +-- source_kind: agent +SELECT + "range_Valence", + "wtd_range_atomic_radius", + SUM(CAST("wtd_entropy_atomic_radius" AS REAL)) AS total_measure, + SUM(CAST("wtd_entropy_atomic_radius" AS REAL)) * 100.0 / + SUM(SUM(CAST("wtd_entropy_atomic_radius" AS REAL))) OVER (PARTITION BY "range_Valence") AS share_within_group +FROM "n5" +WHERE "range_Valence" IS NOT NULL + AND "wtd_range_atomic_radius" IS NOT NULL + AND "wtd_entropy_atomic_radius" IS NOT NULL +GROUP BY "range_Valence", "wtd_range_atomic_radius" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_4116d6017b7ba9ec.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_4116d6017b7ba9ec.sql new file mode 100644 index 0000000000000000000000000000000000000000..009ced3ededb30054b1617d2a52ef19683e7ec07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_4116d6017b7ba9ec.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_4116d6017b7ba9ec +-- problem_id: v2p_n5_22ca989f0da62561 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "gmean_Valence" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "gmean_Valence" +), 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_c/n5/sql/v2q_n5_4f7394e1a6d7ce66.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_4f7394e1a6d7ce66.sql new file mode 100644 index 0000000000000000000000000000000000000000..25192a2f402a093fff873e58870d5f3144a5f447 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_4f7394e1a6d7ce66.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_4f7394e1a6d7ce66 +-- problem_id: v2p_n5_84e888380139bbf1 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + CAST("entropy_Valence" AS REAL) AS "entropy_Valence", + SUM(CAST("number_of_elements" AS REAL)) AS "group_value" + FROM "n5" + WHERE "entropy_Valence" IS NOT NULL + AND TRIM("entropy_Valence") <> '' + AND "number_of_elements" IS NOT NULL + AND TRIM("number_of_elements") <> '' + GROUP BY CAST("entropy_Valence" AS REAL) +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT g."entropy_Valence", 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_c/n5/sql/v2q_n5_4f993163329dd02c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_4f993163329dd02c.sql new file mode 100644 index 0000000000000000000000000000000000000000..8ea75b16c1fb1a9fbb9a258ffd355afb25cf1acb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_4f993163329dd02c.sql @@ -0,0 +1,66 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_4f993163329dd02c +-- problem_id: v2p_n5_af36168cd2fccca0 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "range_atomic_radius" AS "group_col", + CAST("wtd_gmean_atomic_mass" AS REAL) AS "measure" + FROM "n5" + WHERE "range_atomic_radius" IS NOT NULL + AND "wtd_gmean_atomic_mass" IS NOT NULL +), +"ranked" AS ( + SELECT + "group_col", + "measure", + ROW_NUMBER() OVER (PARTITION BY "group_col" ORDER BY "measure") AS "rn", + COUNT(*) OVER (PARTITION BY "group_col") AS "cnt" + FROM "base" +), +"positions" AS ( + SELECT DISTINCT + "group_col", + "cnt", + (1.0 + ("cnt" - 1) * 0.9) AS "pos", + CAST((1.0 + ("cnt" - 1) * 0.9) AS INTEGER) AS "lower_rn", + CAST((1.0 + ("cnt" - 1) * 0.9) AS INTEGER) + CASE + WHEN (1.0 + ("cnt" - 1) * 0.9) > CAST((1.0 + ("cnt" - 1) * 0.9) AS INTEGER) THEN 1 + ELSE 0 + END AS "upper_rn" + FROM "ranked" +), +"picked" AS ( + SELECT + p."group_col", + p."pos", + p."lower_rn", + p."upper_rn", + MAX(CASE WHEN r."rn" = p."lower_rn" THEN r."measure" END) AS "lower_val", + MAX(CASE WHEN r."rn" = p."upper_rn" THEN r."measure" END) AS "upper_val" + FROM "positions" p + JOIN "ranked" r + ON r."group_col" = p."group_col" + GROUP BY + p."group_col", + p."pos", + p."lower_rn", + p."upper_rn" +) +SELECT + "group_col" AS "range_atomic_radius", + CASE + WHEN "lower_rn" = "upper_rn" THEN "lower_val" + ELSE "lower_val" + ("pos" - "lower_rn") * ("upper_val" - "lower_val") + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_5474e6b656bcc9e4.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_5474e6b656bcc9e4.sql new file mode 100644 index 0000000000000000000000000000000000000000..ffe5d42590e6a234e04b122a71e8eb2cbea790e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_5474e6b656bcc9e4.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_5474e6b656bcc9e4 +-- problem_id: v2p_n5_eae1f7f5708aa7d5 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("range_atomic_radius" AS REAL) AS "range_atomic_radius", SUM(CAST("wtd_range_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +GROUP BY CAST("range_atomic_radius" AS REAL) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_56f82537398762e2.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_56f82537398762e2.sql new file mode 100644 index 0000000000000000000000000000000000000000..af81f7292fd3b70b52ecb0843c653bf67b9e3ee8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_56f82537398762e2.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_56f82537398762e2 +-- problem_id: v2p_n5_d4ffd397a1f21960 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("range_Valence" AS REAL) AS "range_Valence", COUNT(*) AS "row_count" +FROM "n5" +GROUP BY CAST("range_Valence" AS REAL) +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_58d0e4891100b3a0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_58d0e4891100b3a0.sql new file mode 100644 index 0000000000000000000000000000000000000000..3570f7af65d7967b2c020df16af5c09e78293744 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_58d0e4891100b3a0.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_58d0e4891100b3a0 +-- problem_id: v2p_n5_a5f6cf55914fb21c +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("mean_Valence" AS REAL) AS "mean_Valence", CAST("std_Valence" AS REAL) AS "std_Valence", COUNT(*) AS "row_count" +FROM "n5" +WHERE CAST("wtd_entropy_FusionHeat" AS REAL) >= 1.025693 +GROUP BY CAST("mean_Valence" AS REAL), CAST("std_Valence" AS REAL) +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_58fe730f379a246d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_58fe730f379a246d.sql new file mode 100644 index 0000000000000000000000000000000000000000..665e609a857dbc07f3e76e0f7ae2d4b183d13f64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_58fe730f379a246d.sql @@ -0,0 +1,62 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_58fe730f379a246d +-- problem_id: v2p_n5_9e95b10ab9494547 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + CAST("entropy_Valence" AS REAL) AS "group_col", + CAST("range_atomic_mass" AS REAL) AS "measure", + ROW_NUMBER() OVER ( + PARTITION BY CAST("entropy_Valence" AS REAL) + ORDER BY CAST("range_atomic_mass" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY CAST("entropy_Valence" AS REAL) + ) AS "cnt" + FROM "n5" + WHERE "entropy_Valence" IS NOT NULL + AND "range_atomic_mass" IS NOT NULL + AND TRIM("entropy_Valence") <> '' + AND TRIM("range_atomic_mass") <> '' +), +"bounds" AS ( + SELECT DISTINCT + "group_col", + "cnt", + 1 + CAST((9 * ("cnt" - 1)) / 10 AS INTEGER) AS "frn", + 1 + CAST((9 * ("cnt" - 1)) / 10 AS INTEGER) + + CASE WHEN ((9 * ("cnt" - 1)) % 10) = 0 THEN 0 ELSE 1 END AS "crn", + ((9 * ("cnt" - 1)) % 10) / 10.0 AS "interp" + FROM "ranked" + WHERE "cnt" >= 5 +), +"picked" AS ( + SELECT + b."group_col", + b."frn", + b."crn", + b."interp", + MAX(CASE WHEN r."rn" = b."frn" THEN r."measure" END) AS "lower_value", + MAX(CASE WHEN r."rn" = b."crn" THEN r."measure" END) AS "upper_value" + FROM "bounds" AS b + JOIN "ranked" AS r + ON r."group_col" = b."group_col" + GROUP BY b."group_col", b."frn", b."crn", b."interp" +) +SELECT + "group_col" AS "entropy_Valence", + CASE + WHEN "frn" = "crn" THEN "lower_value" + ELSE "lower_value" + ("upper_value" - "lower_value") * "interp" + END AS "percentile_measure" +FROM "picked" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_591add6f5b4a92f7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_591add6f5b4a92f7.sql new file mode 100644 index 0000000000000000000000000000000000000000..dfaeeedb3e70ce4f67e6757e5f88c42e79edfd2c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_591add6f5b4a92f7.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_591add6f5b4a92f7 +-- problem_id: v2p_n5_52cdeab7bd60da81 +-- realization_mode: agent +-- source_kind: agent +SELECT "range_Valence", "entropy_Density", + SUM(CAST("gmean_Density" AS REAL)) AS total_measure, + SUM(CAST("gmean_Density" AS REAL)) * 100.0 / SUM(SUM(CAST("gmean_Density" AS REAL))) OVER (PARTITION BY "range_Valence") AS share_within_group +FROM "n5" +GROUP BY "range_Valence", "entropy_Density" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_59d19485a12e7fb1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_59d19485a12e7fb1.sql new file mode 100644 index 0000000000000000000000000000000000000000..0383fc41598079e9a16d477d609229810b728ae6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_59d19485a12e7fb1.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_59d19485a12e7fb1 +-- problem_id: v2p_n5_8af6d4eebfdd97bf +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "number_of_elements" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "number_of_elements" +), 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_c/n5/sql/v2q_n5_5a451d2b362c765d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_5a451d2b362c765d.sql new file mode 100644 index 0000000000000000000000000000000000000000..733bbf23c1c119f22b35ceabd86e3debcce64983 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_5a451d2b362c765d.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_5a451d2b362c765d +-- problem_id: v2p_n5_96b6f91746e16f2a +-- realization_mode: agent +-- source_kind: agent +SELECT + "gmean_Valence", + "gmean_Density", + SUM(CAST("mean_Density" AS REAL)) AS total_measure, + SUM(CAST("mean_Density" AS REAL)) * 100.0 / SUM(SUM(CAST("mean_Density" AS REAL))) OVER (PARTITION BY "gmean_Valence") AS share_within_group +FROM "n5" +GROUP BY "gmean_Valence", "gmean_Density" +ORDER BY share_within_group DESC +LIMIT 16; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_5a55f51178b5e682.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_5a55f51178b5e682.sql new file mode 100644 index 0000000000000000000000000000000000000000..82e049e301779ac081439d137c6c672e2d241323 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_5a55f51178b5e682.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_5a55f51178b5e682 +-- problem_id: v2p_n5_a90f954207dff2d1 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT CAST("wtd_entropy_ThermalConductivity" AS REAL) AS "wtd_entropy_ThermalConductivity", + NTILE(10) OVER (ORDER BY CAST("wtd_entropy_ThermalConductivity" AS REAL) DESC) AS "tail_bucket" + FROM "n5" + WHERE "wtd_entropy_ThermalConductivity" IS NOT NULL +) +SELECT "wtd_entropy_ThermalConductivity" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "wtd_entropy_ThermalConductivity" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_5aff0ac5b3d079ee.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_5aff0ac5b3d079ee.sql new file mode 100644 index 0000000000000000000000000000000000000000..b2296bdb82b1e4bd4faf989eb895b6f4716c57bd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_5aff0ac5b3d079ee.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_5aff0ac5b3d079ee +-- problem_id: v2p_n5_a7a6fb75af4ebebe +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + CAST("entropy_Valence" AS REAL) AS "entropy_Valence", + SUM(CASE WHEN CAST("range_Valence" AS REAL) = 2 THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN CAST("range_Valence" AS REAL) = 1 THEN 1 ELSE 0 END) AS denominator_count + FROM "n5" + GROUP BY CAST("entropy_Valence" AS REAL) +) +SELECT + "entropy_Valence", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +WHERE numerator_count + denominator_count >= 5 +ORDER BY condition_ratio DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_5bc81ea7de091862.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_5bc81ea7de091862.sql new file mode 100644 index 0000000000000000000000000000000000000000..c02412e944cb05043c39d91fce616b41db344e3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_5bc81ea7de091862.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_5bc81ea7de091862 +-- problem_id: v2p_n5_20dcbfd621aae921 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST(NULLIF("number_of_elements", '') AS INTEGER) AS "number_of_elements", CAST(NULLIF("wtd_std_atomic_radius", '') AS REAL) AS "wtd_std_atomic_radius", SUM(CAST(NULLIF("wtd_range_atomic_radius", '') AS REAL)) AS "total_measure", SUM(CAST(NULLIF("wtd_range_atomic_radius", '') AS REAL)) * 100.0 / SUM(SUM(CAST(NULLIF("wtd_range_atomic_radius", '') AS REAL))) OVER (PARTITION BY CAST(NULLIF("number_of_elements", '') AS INTEGER)) AS "share_within_group" +FROM "n5" +WHERE NULLIF("number_of_elements", '') IS NOT NULL AND NULLIF("wtd_std_atomic_radius", '') IS NOT NULL AND NULLIF("wtd_range_atomic_radius", '') IS NOT NULL +GROUP BY CAST(NULLIF("number_of_elements", '') AS INTEGER), CAST(NULLIF("wtd_std_atomic_radius", '') AS REAL) +ORDER BY "share_within_group" DESC +LIMIT 18; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_62eb26407dd6b046.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_62eb26407dd6b046.sql new file mode 100644 index 0000000000000000000000000000000000000000..e78a1f7b10066ce6e1e0f566fee36e8fd8acb4c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_62eb26407dd6b046.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_62eb26407dd6b046 +-- problem_id: v2p_n5_44df4d9c2ac2ffe8 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "mean_atomic_mass", + COUNT(*) AS support, + AVG("number_of_elements") AS avg_response +FROM "n5" +GROUP BY "mean_atomic_mass" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_6454b989b1a891ba.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_6454b989b1a891ba.sql new file mode 100644 index 0000000000000000000000000000000000000000..1c7255a695186ac4963ec3e9b1620bdcca2ed2aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_6454b989b1a891ba.sql @@ -0,0 +1,40 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_6454b989b1a891ba +-- problem_id: v2p_n5_735ad69e03ce9e37 +-- realization_mode: agent +-- source_kind: agent +WITH "typed" AS ( + SELECT + CAST("gmean_Valence" AS REAL) AS "gmean_Valence", + CAST("wtd_entropy_atomic_mass" AS REAL) AS "wtd_entropy_atomic_mass" + FROM "n5" + WHERE "gmean_Valence" IS NOT NULL + AND "wtd_entropy_atomic_mass" IS NOT NULL +), +"ranked" AS ( + SELECT + "gmean_Valence", + "wtd_entropy_atomic_mass", + COUNT(*) OVER (PARTITION BY "gmean_Valence") AS "group_size", + CUME_DIST() OVER ( + PARTITION BY "gmean_Valence" + ORDER BY "wtd_entropy_atomic_mass" + ) AS "cume_dist" + FROM "typed" +) +SELECT + "gmean_Valence", + MIN("wtd_entropy_atomic_mass") AS "percentile_measure" +FROM "ranked" +WHERE "cume_dist" >= 0.95 + AND "group_size" >= 5 +GROUP BY "gmean_Valence" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_66ee3e9dc98940ea.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_66ee3e9dc98940ea.sql new file mode 100644 index 0000000000000000000000000000000000000000..79e01c2a0277aada8f903817c74f899f7f0f2800 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_66ee3e9dc98940ea.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_66ee3e9dc98940ea +-- problem_id: v2p_n5_8d63e8bb4631d1c2 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "wtd_gmean_fie", + COUNT(*) AS support, + AVG("wtd_mean_atomic_mass") AS avg_response +FROM "n5" +GROUP BY "wtd_gmean_fie" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_6a2a7d5bb298edd1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_6a2a7d5bb298edd1.sql new file mode 100644 index 0000000000000000000000000000000000000000..16a14aabaceeea43603fb4511b4b75c41979368c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_6a2a7d5bb298edd1.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_6a2a7d5bb298edd1 +-- problem_id: v2p_n5_04ded6d692c21fc2 +-- realization_mode: agent +-- source_kind: agent +SELECT "mean_Valence", "gmean_Valence", COUNT(*) AS row_count +FROM "n5" +WHERE CAST("gmean_FusionHeat" AS REAL) >= 4.153467 +GROUP BY "mean_Valence", "gmean_Valence" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_6af6a4905e892bfa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_6af6a4905e892bfa.sql new file mode 100644 index 0000000000000000000000000000000000000000..865f250c1f60f866d2574ea6a2e03c6ed080fece --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_6af6a4905e892bfa.sql @@ -0,0 +1,69 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_6af6a4905e892bfa +-- problem_id: v2p_n5_32e0be206fa14a5f +-- realization_mode: agent +-- source_kind: agent +WITH "cleaned" AS ( + SELECT + CAST("range_atomic_radius" AS REAL) AS "range_atomic_radius", + CAST("mean_fie" AS REAL) AS "mean_fie" + FROM "n5" + WHERE "range_atomic_radius" IS NOT NULL + AND TRIM("range_atomic_radius") <> '' + AND "mean_fie" IS NOT NULL + AND TRIM("mean_fie") <> '' +), +"ranked" AS ( + SELECT + "range_atomic_radius", + "mean_fie", + ROW_NUMBER() OVER ( + PARTITION BY "range_atomic_radius" + ORDER BY "mean_fie" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "range_atomic_radius" + ) AS "cnt" + FROM "cleaned" +), +"positions" AS ( + SELECT DISTINCT + "range_atomic_radius", + "cnt", + (1.0 + (0.95 * ("cnt" - 1))) AS "pos", + CAST(1.0 + (0.95 * ("cnt" - 1)) AS INT) AS "frn", + 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) + 1 + ELSE CAST(1.0 + (0.95 * ("cnt" - 1)) AS INT) + END AS "crn" + FROM "ranked" +) +SELECT + r."range_atomic_radius", + CASE + WHEN p."frn" = p."crn" THEN MAX(CASE WHEN r."rn" = p."frn" THEN r."mean_fie" END) + ELSE + ((p."crn" - p."pos") * MAX(CASE WHEN r."rn" = p."frn" THEN r."mean_fie" END)) + + ((p."pos" - p."frn") * MAX(CASE WHEN r."rn" = p."crn" THEN r."mean_fie" END)) + END AS "percentile_measure" +FROM "ranked" AS r +JOIN "positions" AS p + ON r."range_atomic_radius" = p."range_atomic_radius" +GROUP BY + r."range_atomic_radius", + p."cnt", + p."pos", + p."frn", + p."crn" +HAVING p."cnt" >= 5 +ORDER BY "percentile_measure" DESC +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_6c623e08282011e5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_6c623e08282011e5.sql new file mode 100644 index 0000000000000000000000000000000000000000..0cc2415311c1ea5429f6ece79c2a1026f6128f56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_6c623e08282011e5.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_6c623e08282011e5 +-- problem_id: v2p_n5_0559cfadf4bdc306 +-- realization_mode: agent +-- source_kind: agent +SELECT "number_of_elements", SUM(CAST("number_of_elements" AS REAL)) AS total_measure +FROM "n5" +GROUP BY "number_of_elements" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_6eb30a756e2b895e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_6eb30a756e2b895e.sql new file mode 100644 index 0000000000000000000000000000000000000000..feffc8e10f683d7850a19e3fafc1d36d4daec0b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_6eb30a756e2b895e.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_6eb30a756e2b895e +-- problem_id: v2p_n5_6e0a6c0eefd43f91 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("range_Valence" AS REAL) AS "range_Valence", SUM(CAST("entropy_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +WHERE "range_Valence" IS NOT NULL + AND "range_Valence" <> '' + AND "entropy_atomic_mass" IS NOT NULL + AND "entropy_atomic_mass" <> '' +GROUP BY CAST("range_Valence" AS REAL) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_70631fa954567347.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_70631fa954567347.sql new file mode 100644 index 0000000000000000000000000000000000000000..95b6b338631043072f5217ad97e22eef885807a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_70631fa954567347.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_70631fa954567347 +-- problem_id: v2p_n5_03ebc66a312923c4 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + CAST("range_atomic_radius" AS REAL) AS "range_atomic_radius", + SUM(CAST("std_Valence" AS REAL)) AS group_value + FROM "n5" + WHERE "range_atomic_radius" IS NOT NULL + AND "std_Valence" IS NOT NULL + GROUP BY CAST("range_atomic_radius" AS REAL) +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT + g."range_atomic_radius", + 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_c/n5/sql/v2q_n5_71cb19e37ce7bc52.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_71cb19e37ce7bc52.sql new file mode 100644 index 0000000000000000000000000000000000000000..eb52ffa18c8cb1a6e9da378ee6800b9c32965ada --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_71cb19e37ce7bc52.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_71cb19e37ce7bc52 +-- problem_id: v2p_n5_07eb306f3d2d9485 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "mean_Valence", + SUM(CASE WHEN "range_Valence" = '2' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "range_Valence" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "n5" + GROUP BY "mean_Valence" +) +SELECT "mean_Valence", + 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_c/n5/sql/v2q_n5_733572ff7364ec86.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_733572ff7364ec86.sql new file mode 100644 index 0000000000000000000000000000000000000000..f2a0ecff11bc5df806ff6eca51922c3b1765dcf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_733572ff7364ec86.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_733572ff7364ec86 +-- problem_id: v2p_n5_ce28d1d94834fd5b +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT + "wtd_gmean_ThermalConductivity", + NTILE(10) OVER ( + ORDER BY CAST("wtd_gmean_ThermalConductivity" AS REAL) DESC + ) AS "tail_bucket" + FROM "n5" + WHERE "wtd_gmean_ThermalConductivity" IS NOT NULL + AND "wtd_gmean_ThermalConductivity" <> '' +) +SELECT "wtd_gmean_ThermalConductivity" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY CAST("wtd_gmean_ThermalConductivity" AS REAL) DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_738ff0bbdbadd873.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_738ff0bbdbadd873.sql new file mode 100644 index 0000000000000000000000000000000000000000..5f8489c75ad17afdeb51d2469064256f3f7dd102 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_738ff0bbdbadd873.sql @@ -0,0 +1,44 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_738ff0bbdbadd873 +-- problem_id: v2p_n5_6dab94c44df46b38 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + "number_of_elements", + CAST("gmean_atomic_mass" AS REAL) AS "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "number_of_elements" + ORDER BY CAST("gmean_atomic_mass" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "number_of_elements" + ) AS "cnt" + FROM "n5" + WHERE "number_of_elements" IS NOT NULL + AND "gmean_atomic_mass" IS NOT NULL + AND TRIM("number_of_elements") <> '' + AND TRIM("gmean_atomic_mass") <> '' +), "percentile_point" AS ( + SELECT + "number_of_elements", + "measure_value", + "cnt", + CAST((0.95 * "cnt") + 0.999999999999 AS INTEGER) AS "target_rn" + FROM "ranked" +) +SELECT + "number_of_elements", + "measure_value" AS "percentile_measure" +FROM "percentile_point" +WHERE "rn" = "target_rn" + AND "cnt" >= 5 +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_7623625b459a2a78.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_7623625b459a2a78.sql new file mode 100644 index 0000000000000000000000000000000000000000..f0d3aec620342301f2906d6296dba4d609a714d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_7623625b459a2a78.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_7623625b459a2a78 +-- problem_id: v2p_n5_b9d1015b5053a499 +-- realization_mode: agent +-- source_kind: agent +SELECT + "mean_Valence", + SUM(CAST("wtd_mean_atomic_mass" AS REAL)) AS total_measure +FROM "n5" +GROUP BY "mean_Valence" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_77c993089f90973d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_77c993089f90973d.sql new file mode 100644 index 0000000000000000000000000000000000000000..49fcf8ee67890713f185200f6f8f56671b780322 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_77c993089f90973d.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_77c993089f90973d +-- problem_id: v2p_n5_24c97607e72d4123 +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "range_Valence" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "range_Valence" +) +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_c/n5/sql/v2q_n5_785fbdd59a1302d6.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_785fbdd59a1302d6.sql new file mode 100644 index 0000000000000000000000000000000000000000..03f2150f15c64f28ef660f3d61ff07092cbd4147 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_785fbdd59a1302d6.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_785fbdd59a1302d6 +-- problem_id: v2p_n5_0b6493e11b8821fe +-- realization_mode: agent +-- source_kind: agent +SELECT "std_Valence", "std_atomic_radius", + SUM(CAST("range_atomic_radius" AS REAL)) AS "total_measure", + SUM(CAST("range_atomic_radius" AS REAL)) * 100.0 / SUM(SUM(CAST("range_atomic_radius" AS REAL))) OVER (PARTITION BY "std_Valence") AS "share_within_group" +FROM "n5" +WHERE "std_Valence" IS NOT NULL + AND "std_atomic_radius" IS NOT NULL + AND "range_atomic_radius" IS NOT NULL + AND TRIM("std_Valence") <> '' + AND TRIM("std_atomic_radius") <> '' + AND TRIM("range_atomic_radius") <> '' +GROUP BY "std_Valence", "std_atomic_radius" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_7d0e2eb3fb60bc07.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_7d0e2eb3fb60bc07.sql new file mode 100644 index 0000000000000000000000000000000000000000..a4d250cb57dc310bca89420baaad2370b449ac70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_7d0e2eb3fb60bc07.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_7d0e2eb3fb60bc07 +-- problem_id: v2p_n5_04508816e918ac57 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT CAST("wtd_range_ThermalConductivity" AS REAL) AS "wtd_range_ThermalConductivity", + NTILE(10) OVER (ORDER BY CAST("wtd_range_ThermalConductivity" AS REAL) DESC) AS "tail_bucket" + FROM "n5" + WHERE "wtd_range_ThermalConductivity" IS NOT NULL +) +SELECT "wtd_range_ThermalConductivity" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "wtd_range_ThermalConductivity" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_7f34a9fa373004a5.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_7f34a9fa373004a5.sql new file mode 100644 index 0000000000000000000000000000000000000000..d0a5d3cc8404002d7fba215c7139a843a8d0e20d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_7f34a9fa373004a5.sql @@ -0,0 +1,45 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_7f34a9fa373004a5 +-- problem_id: v2p_n5_9376cdbce2d2a2dd +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + CAST("mean_Valence" AS REAL) AS "mean_Valence", + CAST("entropy_atomic_mass" AS REAL) AS "entropy_atomic_mass", + ROW_NUMBER() OVER ( + PARTITION BY CAST("mean_Valence" AS REAL) + ORDER BY CAST("entropy_atomic_mass" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY CAST("mean_Valence" AS REAL) + ) AS "cnt" + FROM "n5" + WHERE "mean_Valence" IS NOT NULL + AND "entropy_atomic_mass" IS NOT NULL + AND TRIM("mean_Valence") <> '' + AND TRIM("entropy_atomic_mass") <> '' +), +"percentiles" AS ( + SELECT + "mean_Valence", + MIN("entropy_atomic_mass") AS "percentile_measure" + FROM "ranked" + WHERE "cnt" >= 5 + AND "rn" >= 0.95 * "cnt" + GROUP BY "mean_Valence" +) +SELECT + "mean_Valence", + "percentile_measure" +FROM "percentiles" +ORDER BY "percentile_measure" DESC, + "mean_Valence" ASC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_835242a0ba2ea28e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_835242a0ba2ea28e.sql new file mode 100644 index 0000000000000000000000000000000000000000..408be5de4613516127b66e249b660e8f0ae90baf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_835242a0ba2ea28e.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_835242a0ba2ea28e +-- problem_id: v2p_n5_949329093ebb1a4a +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "number_of_elements" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "number_of_elements" +) +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_c/n5/sql/v2q_n5_87cdd8a41a19a800.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_87cdd8a41a19a800.sql new file mode 100644 index 0000000000000000000000000000000000000000..92425dcfb332b702e4c41718d45aba367597439a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_87cdd8a41a19a800.sql @@ -0,0 +1,22 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_87cdd8a41a19a800 +-- problem_id: v2p_n5_85534f9449f6ddba +-- realization_mode: agent +-- source_kind: agent +SELECT "mean_Valence", "wtd_mean_Density", + SUM(CAST("wtd_std_atomic_radius" AS REAL)) AS total_measure, + SUM(CAST("wtd_std_atomic_radius" AS REAL)) * 100.0 / SUM(SUM(CAST("wtd_std_atomic_radius" AS REAL))) OVER (PARTITION BY "mean_Valence") AS share_within_group +FROM "n5" +WHERE "mean_Valence" IS NOT NULL AND "mean_Valence" <> '' + AND "wtd_mean_Density" IS NOT NULL AND "wtd_mean_Density" <> '' + AND "wtd_std_atomic_radius" IS NOT NULL AND "wtd_std_atomic_radius" <> '' +GROUP BY "mean_Valence", "wtd_mean_Density" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_88ea45f6139bf398.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_88ea45f6139bf398.sql new file mode 100644 index 0000000000000000000000000000000000000000..74d7e4dbd7d1cb99d8ee9d0d26c73a995f911d3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_88ea45f6139bf398.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_88ea45f6139bf398 +-- problem_id: v2p_n5_49124d7aa7383b1e +-- realization_mode: agent +-- source_kind: agent +SELECT "range_atomic_radius", COUNT(*) AS row_count +FROM "n5" +GROUP BY "range_atomic_radius" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_895b39e87211df73.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_895b39e87211df73.sql new file mode 100644 index 0000000000000000000000000000000000000000..558fab74a0a2ec1123b84fcbc73102d48843be6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_895b39e87211df73.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_895b39e87211df73 +-- problem_id: v2p_n5_da56835fbeac49ba +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "range_Valence", + SUM(CASE WHEN CAST("wtd_entropy_Valence" AS REAL) = 1.24943039324213 THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN CAST("wtd_entropy_Valence" AS REAL) = 1.09604328066818 THEN 1 ELSE 0 END) AS denominator_count + FROM "n5" + GROUP BY "range_Valence" +) +SELECT + "range_Valence", + 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_c/n5/sql/v2q_n5_89fcf70717f5ad44.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_89fcf70717f5ad44.sql new file mode 100644 index 0000000000000000000000000000000000000000..b4c99d31d6135e9c01d7723689fedcd449db4f60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_89fcf70717f5ad44.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_89fcf70717f5ad44 +-- problem_id: v2p_n5_73b07ae8eaea0a19 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("std_Valence" AS REAL) AS "std_Valence", SUM(CAST("wtd_entropy_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +GROUP BY CAST("std_Valence" AS REAL) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_918fbc67bbeb8c72.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_918fbc67bbeb8c72.sql new file mode 100644 index 0000000000000000000000000000000000000000..4b8d138b5b0d6696cb0137a17c565dd6958b48c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_918fbc67bbeb8c72.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_918fbc67bbeb8c72 +-- problem_id: v2p_n5_635ca5d3f124e4fa +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("std_Valence" AS REAL) AS "std_Valence", SUM(CAST("wtd_entropy_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +GROUP BY CAST("std_Valence" AS REAL) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_93b38628ec19b4aa.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_93b38628ec19b4aa.sql new file mode 100644 index 0000000000000000000000000000000000000000..1fa1b933f0fdff30f4b81bc45a17d90009fc81a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_93b38628ec19b4aa.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_93b38628ec19b4aa +-- problem_id: v2p_n5_50c34d789b314c73 +-- realization_mode: agent +-- source_kind: agent +SELECT "std_Valence", COUNT(*) AS "row_count" +FROM "n5" +GROUP BY "std_Valence" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_943dc7be4745fc71.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_943dc7be4745fc71.sql new file mode 100644 index 0000000000000000000000000000000000000000..4f49b8245b7948450b4a21c904029d0ba9239085 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_943dc7be4745fc71.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_943dc7be4745fc71 +-- problem_id: v2p_n5_81cf6f79b1943838 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT CAST("gmean_ThermalConductivity" AS REAL) AS "gmean_ThermalConductivity", + NTILE(10) OVER (ORDER BY CAST("gmean_ThermalConductivity" AS REAL) DESC) AS "tail_bucket" + FROM "n5" + WHERE "gmean_ThermalConductivity" IS NOT NULL + AND "gmean_ThermalConductivity" <> '' +) +SELECT "gmean_ThermalConductivity" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "gmean_ThermalConductivity" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_9697a19cfa750a1a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_9697a19cfa750a1a.sql new file mode 100644 index 0000000000000000000000000000000000000000..2165691d77ae8c55fed11f638c64912e5e9376b4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_9697a19cfa750a1a.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_9697a19cfa750a1a +-- problem_id: v2p_n5_10ec943543c288e0 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("std_Valence" AS REAL) AS "std_Valence", + CAST("wtd_entropy_Density" AS REAL) AS "wtd_entropy_Density", + SUM(CAST("wtd_gmean_Density" AS REAL)) AS "total_measure", + SUM(CAST("wtd_gmean_Density" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("wtd_gmean_Density" AS REAL))) OVER (PARTITION BY CAST("std_Valence" AS REAL)), 0.0) AS "share_within_group" +FROM "n5" +GROUP BY CAST("std_Valence" AS REAL), CAST("wtd_entropy_Density" AS REAL) +ORDER BY "share_within_group" DESC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_98e48f68206de725.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_98e48f68206de725.sql new file mode 100644 index 0000000000000000000000000000000000000000..0d3b67ac3a25fcb6a70406ef6367c8d0d706469d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_98e48f68206de725.sql @@ -0,0 +1,64 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_98e48f68206de725 +-- problem_id: v2p_n5_2c083d4a5a62bf20 +-- realization_mode: agent +-- source_kind: agent +WITH "ranked" AS ( + SELECT + CAST("std_Valence" AS REAL) AS "std_Valence", + CAST("std_atomic_mass" AS REAL) AS "std_atomic_mass", + ROW_NUMBER() OVER ( + PARTITION BY CAST("std_Valence" AS REAL) + ORDER BY CAST("std_atomic_mass" AS REAL) + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY CAST("std_Valence" AS REAL) + ) AS "cnt" + FROM "n5" + WHERE "std_Valence" IS NOT NULL + AND "std_atomic_mass" IS NOT NULL +), +"targets" AS ( + SELECT + "std_Valence", + MAX("cnt") AS "cnt", + (1.0 + (MAX("cnt") - 1) * 0.9) AS "pos", + CAST(1.0 + (MAX("cnt") - 1) * 0.9 AS INTEGER) AS "lo_rn", + CASE + WHEN (1.0 + (MAX("cnt") - 1) * 0.9) = CAST(1.0 + (MAX("cnt") - 1) * 0.9 AS INTEGER) + THEN CAST(1.0 + (MAX("cnt") - 1) * 0.9 AS INTEGER) + ELSE CAST(1.0 + (MAX("cnt") - 1) * 0.9 AS INTEGER) + 1 + END AS "hi_rn" + FROM "ranked" + GROUP BY "std_Valence" +), +"picked" AS ( + SELECT + t."std_Valence", + t."cnt", + t."pos", + MAX(CASE WHEN r."rn" = t."lo_rn" THEN r."std_atomic_mass" END) AS "lo_val", + MAX(CASE WHEN r."rn" = t."hi_rn" THEN r."std_atomic_mass" END) AS "hi_val" + FROM "targets" AS t + JOIN "ranked" AS r + ON r."std_Valence" = t."std_Valence" + GROUP BY t."std_Valence", t."cnt", t."pos" +) +SELECT + "std_Valence", + CASE + WHEN "pos" = CAST("pos" AS INTEGER) THEN "lo_val" + ELSE "lo_val" + ("pos" - CAST("pos" AS INTEGER)) * ("hi_val" - "lo_val") + END AS "percentile_measure" +FROM "picked" +WHERE "cnt" >= 5 +ORDER BY "percentile_measure" DESC +LIMIT 15; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_9d21c3bc7b0f3291.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_9d21c3bc7b0f3291.sql new file mode 100644 index 0000000000000000000000000000000000000000..2534923671d6068c38217077d3c508467f49305b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_9d21c3bc7b0f3291.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_9d21c3bc7b0f3291 +-- problem_id: v2p_n5_9cb97d0251773f9a +-- realization_mode: agent +-- source_kind: agent +SELECT "number_of_elements", COUNT(*) AS row_count +FROM "n5" +GROUP BY "number_of_elements" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_9f2646b5941666fe.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_9f2646b5941666fe.sql new file mode 100644 index 0000000000000000000000000000000000000000..218678cb5c13b2ce010bcf35f737b7d09f624cf8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_9f2646b5941666fe.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_9f2646b5941666fe +-- problem_id: v2p_n5_79ef5a40e528da3c +-- realization_mode: agent +-- source_kind: agent +SELECT "entropy_Valence", COUNT(*) AS "row_count" +FROM "n5" +GROUP BY "entropy_Valence" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_9f91091ca520494f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_9f91091ca520494f.sql new file mode 100644 index 0000000000000000000000000000000000000000..0ccffb1618091665b1a14aa64cd3f1cca5eb6a84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_9f91091ca520494f.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_9f91091ca520494f +-- problem_id: v2p_n5_894f5675fe7cf1fe +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("mean_Valence" AS REAL) AS "mean_Valence", SUM(CAST("wtd_mean_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +WHERE "mean_Valence" IS NOT NULL + AND "wtd_mean_atomic_mass" IS NOT NULL +GROUP BY CAST("mean_Valence" AS REAL) +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_a056bea20162be9c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_a056bea20162be9c.sql new file mode 100644 index 0000000000000000000000000000000000000000..8c1af44152f0ee9dc60fa72ff99e62b89a038b90 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_a056bea20162be9c.sql @@ -0,0 +1,20 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_a056bea20162be9c +-- problem_id: v2p_n5_19a17416f6ff1091 +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("number_of_elements" AS INTEGER) AS "number_of_elements", + CAST("wtd_std_atomic_radius" AS REAL) AS "wtd_std_atomic_radius", + SUM(CAST("wtd_range_atomic_radius" AS REAL)) AS total_measure, + SUM(CAST("wtd_range_atomic_radius" AS REAL)) * 100.0 / NULLIF(SUM(SUM(CAST("wtd_range_atomic_radius" AS REAL))) OVER (PARTITION BY CAST("number_of_elements" AS INTEGER)), 0) AS share_within_group +FROM "n5" +GROUP BY CAST("number_of_elements" AS INTEGER), CAST("wtd_std_atomic_radius" AS REAL) +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_a26f8fa1dda013b0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_a26f8fa1dda013b0.sql new file mode 100644 index 0000000000000000000000000000000000000000..56864d335513da66e77cccd288d68a6337002774 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_a26f8fa1dda013b0.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_a26f8fa1dda013b0 +-- problem_id: v2p_n5_0683db263719c9bc +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "range_atomic_radius" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "range_atomic_radius" +) +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_c/n5/sql/v2q_n5_a74110e49340d531.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_a74110e49340d531.sql new file mode 100644 index 0000000000000000000000000000000000000000..edc018d06c077394bffe74d3b3f338db9729f89c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_a74110e49340d531.sql @@ -0,0 +1,23 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_a74110e49340d531 +-- problem_id: v2p_n5_2c0cfaa80526dfab +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT CAST("wtd_std_FusionHeat" AS REAL) AS "wtd_std_FusionHeat", + NTILE(10) OVER (ORDER BY CAST("wtd_std_FusionHeat" AS REAL) DESC) AS "tail_bucket" + FROM "n5" + WHERE "wtd_std_FusionHeat" IS NOT NULL +) +SELECT "wtd_std_FusionHeat" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "wtd_std_FusionHeat" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_a79f50c97b0c0a98.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_a79f50c97b0c0a98.sql new file mode 100644 index 0000000000000000000000000000000000000000..c0cdb33ef8136ac1f4b54c2b7139a8c2a1a4e069 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_a79f50c97b0c0a98.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_a79f50c97b0c0a98 +-- problem_id: v2p_n5_7bf68c65dbe0e7e8 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "mean_fie", + COUNT(*) AS support, + AVG("mean_atomic_mass") AS avg_response +FROM "n5" +GROUP BY "mean_fie" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_a9338e180b126124.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_a9338e180b126124.sql new file mode 100644 index 0000000000000000000000000000000000000000..107e57e250bc1a7c6e2da35ab95668f8cb47b426 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_a9338e180b126124.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_a9338e180b126124 +-- problem_id: v2p_n5_cb03620d6f9fa72d +-- realization_mode: agent +-- source_kind: agent +SELECT + CAST("mean_Valence" AS REAL) AS "mean_Valence", + CAST("wtd_mean_Density" AS REAL) AS "wtd_mean_Density", + SUM(CAST("wtd_std_atomic_radius" AS REAL)) AS "total_measure", + SUM(CAST("wtd_std_atomic_radius" AS REAL)) * 100.0 / SUM(SUM(CAST("wtd_std_atomic_radius" AS REAL))) OVER ( + PARTITION BY CAST("mean_Valence" AS REAL) + ) AS "share_within_group" +FROM "n5" +WHERE "mean_Valence" IS NOT NULL + AND "wtd_mean_Density" IS NOT NULL + AND "wtd_std_atomic_radius" IS NOT NULL +GROUP BY CAST("mean_Valence" AS REAL), CAST("wtd_mean_Density" AS REAL) +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_aa840af2f7f4dc1b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_aa840af2f7f4dc1b.sql new file mode 100644 index 0000000000000000000000000000000000000000..3006229ddb737180d0ccce29c997d83318c6e27f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_aa840af2f7f4dc1b.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_aa840af2f7f4dc1b +-- problem_id: v2p_n5_de0707ffbb2c5be9 +-- realization_mode: agent +-- source_kind: agent +SELECT "entropy_Valence", "wtd_gmean_Density", + SUM(CAST("wtd_mean_Density" AS REAL)) AS total_measure, + SUM(CAST("wtd_mean_Density" AS REAL)) * 100.0 / SUM(SUM(CAST("wtd_mean_Density" AS REAL))) OVER (PARTITION BY "entropy_Valence") AS share_within_group +FROM "n5" +GROUP BY "entropy_Valence", "wtd_gmean_Density" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_ac5b0744ae7b5f2b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_ac5b0744ae7b5f2b.sql new file mode 100644 index 0000000000000000000000000000000000000000..d2cbe942d7ad4d7ef75d83829e620eb2a8a1d03c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_ac5b0744ae7b5f2b.sql @@ -0,0 +1,76 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_ac5b0744ae7b5f2b +-- problem_id: v2p_n5_c7e641e94cf047b1 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + CAST(NULLIF(TRIM("entropy_Valence"), '') AS REAL) AS "group_value", + CAST(NULLIF(TRIM("range_atomic_mass"), '') AS REAL) AS "measure_value" + FROM "n5" + WHERE NULLIF(TRIM("entropy_Valence"), '') IS NOT NULL + AND NULLIF(TRIM("range_atomic_mass"), '') IS NOT NULL +), +"ranked" AS ( + SELECT + "group_value", + "measure_value", + ROW_NUMBER() OVER ( + PARTITION BY "group_value" + ORDER BY "measure_value" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "group_value" + ) AS "cnt" + FROM "base" +), +"group_params" AS ( + SELECT DISTINCT + "group_value", + "cnt", + 1 + CAST((95 * ("cnt" - 1)) / 100 AS INTEGER) AS "lower_rn", + 1 + CAST((95 * ("cnt" - 1)) / 100 AS INTEGER) + + CASE WHEN (95 * ("cnt" - 1)) % 100 = 0 THEN 0 ELSE 1 END AS "upper_rn", + ((95 * ("cnt" - 1)) % 100) / 100.0 AS "frac" + FROM "ranked" + WHERE "cnt" >= 5 +), +"lower_vals" AS ( + SELECT + "r"."group_value", + "r"."measure_value" AS "lower_value" + FROM "ranked" AS "r" + JOIN "group_params" AS "gp" + ON "gp"."group_value" = "r"."group_value" + AND "gp"."lower_rn" = "r"."rn" +), +"upper_vals" AS ( + SELECT + "r"."group_value", + "r"."measure_value" AS "upper_value" + FROM "ranked" AS "r" + JOIN "group_params" AS "gp" + ON "gp"."group_value" = "r"."group_value" + AND "gp"."upper_rn" = "r"."rn" +) +SELECT + "gp"."group_value" AS "entropy_Valence", + CASE + WHEN "gp"."lower_rn" = "gp"."upper_rn" THEN "lv"."lower_value" + ELSE "lv"."lower_value" + "gp"."frac" * ("uv"."upper_value" - "lv"."lower_value") + END AS "percentile_measure" +FROM "group_params" AS "gp" +JOIN "lower_vals" AS "lv" + ON "lv"."group_value" = "gp"."group_value" +JOIN "upper_vals" AS "uv" + ON "uv"."group_value" = "gp"."group_value" +ORDER BY "percentile_measure" DESC +LIMIT 13; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_ace6245be2fbff07.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_ace6245be2fbff07.sql new file mode 100644 index 0000000000000000000000000000000000000000..f910de7bccc246e55e8236c625e3761b3db94432 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_ace6245be2fbff07.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_ace6245be2fbff07 +-- problem_id: v2p_n5_8e2509eeed80577c +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "range_atomic_radius", + SUM(CASE WHEN CAST("wtd_entropy_Valence" AS REAL) = 1.24943039324213 THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN CAST("wtd_entropy_Valence" AS REAL) = 1.09604328066818 THEN 1 ELSE 0 END) AS denominator_count + FROM "n5" + GROUP BY "range_atomic_radius" +) +SELECT "range_atomic_radius", + 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_c/n5/sql/v2q_n5_acecff633551fb14.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_acecff633551fb14.sql new file mode 100644 index 0000000000000000000000000000000000000000..b182f79b5a376904b882d3b8f9592c26f6603127 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_acecff633551fb14.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_acecff633551fb14 +-- problem_id: v2p_n5_6472787d5bf71e5c +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "mean_Valence" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "mean_Valence" +) +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_c/n5/sql/v2q_n5_afe6d2ad5fdb3a74.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_afe6d2ad5fdb3a74.sql new file mode 100644 index 0000000000000000000000000000000000000000..252b38cb0b35378f05cf83b82b1e07fbc66c3630 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_afe6d2ad5fdb3a74.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_afe6d2ad5fdb3a74 +-- problem_id: v2p_n5_253a03641efe2aca +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "entropy_Valence" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "entropy_Valence" +), 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_c/n5/sql/v2q_n5_b3cbf3187ebbc12f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_b3cbf3187ebbc12f.sql new file mode 100644 index 0000000000000000000000000000000000000000..63427c7bfba22f5ca13e2cbd1e6ca1b85496f2fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_b3cbf3187ebbc12f.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_b3cbf3187ebbc12f +-- problem_id: v2p_n5_77407548dfc78c29 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT CAST("gmean_Valence" AS REAL) AS "gmean_Valence", + SUM(CAST("gmean_Valence" AS REAL)) AS group_value + FROM "n5" + WHERE "gmean_Valence" IS NOT NULL + GROUP BY CAST("gmean_Valence" AS REAL) +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."gmean_Valence", 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_c/n5/sql/v2q_n5_b40d01aabff41a74.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_b40d01aabff41a74.sql new file mode 100644 index 0000000000000000000000000000000000000000..abddb4a10576a3c27fc36bbdaeae67b2a4261cbb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_b40d01aabff41a74.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_b40d01aabff41a74 +-- problem_id: v2p_n5_300334f89d62790f +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("std_Valence" AS REAL) AS "std_Valence", + CAST("wtd_entropy_Density" AS REAL) AS "wtd_entropy_Density", + SUM(CAST("wtd_gmean_Density" AS REAL)) AS "total_measure", + SUM(CAST("wtd_gmean_Density" AS REAL)) * 100.0 + / SUM(SUM(CAST("wtd_gmean_Density" AS REAL))) OVER (PARTITION BY CAST("std_Valence" AS REAL)) AS "share_within_group" +FROM "n5" +WHERE "std_Valence" IS NOT NULL + AND "wtd_entropy_Density" IS NOT NULL + AND "wtd_gmean_Density" IS NOT NULL +GROUP BY CAST("std_Valence" AS REAL), CAST("wtd_entropy_Density" AS REAL) +ORDER BY "share_within_group" DESC +LIMIT 19; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_b60dbe7a4758a0b7.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_b60dbe7a4758a0b7.sql new file mode 100644 index 0000000000000000000000000000000000000000..4ef8afa7cbd037e0195254d36ab6657bab437e45 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_b60dbe7a4758a0b7.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_b60dbe7a4758a0b7 +-- problem_id: v2p_n5_ef9d412d97d46a32 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + CAST("mean_Valence" AS REAL) AS "mean_Valence", + SUM(CAST("wtd_mean_Valence" AS REAL)) AS group_value + FROM "n5" + WHERE "mean_Valence" IS NOT NULL + AND TRIM("mean_Valence") <> '' + AND "wtd_mean_Valence" IS NOT NULL + AND TRIM("wtd_mean_Valence") <> '' + GROUP BY CAST("mean_Valence" AS REAL) +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."mean_Valence", 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_c/n5/sql/v2q_n5_b65fdd910eeca204.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_b65fdd910eeca204.sql new file mode 100644 index 0000000000000000000000000000000000000000..5304ea60ee750cdc30a06d988d08bc865f7f8ab8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_b65fdd910eeca204.sql @@ -0,0 +1,25 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_b65fdd910eeca204 +-- problem_id: v2p_n5_8611bdae51dd2f36 +-- realization_mode: agent +-- source_kind: agent +WITH "buckets" AS ( + SELECT + CAST("mean_ThermalConductivity" AS REAL) AS "mean_ThermalConductivity", + NTILE(10) OVER (ORDER BY CAST("mean_ThermalConductivity" AS REAL) DESC) AS "tail_bucket" + FROM "n5" + WHERE "mean_ThermalConductivity" IS NOT NULL + AND TRIM("mean_ThermalConductivity") <> '' +) +SELECT "mean_ThermalConductivity" +FROM "buckets" +WHERE "tail_bucket" = 1 +ORDER BY "mean_ThermalConductivity" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_ba8f5d848cb433c1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_ba8f5d848cb433c1.sql new file mode 100644 index 0000000000000000000000000000000000000000..47d72923dbf4a8e061e7e6814b0fe74fee16ee56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_ba8f5d848cb433c1.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_ba8f5d848cb433c1 +-- problem_id: v2p_n5_4e756e82b9b288f8 +-- realization_mode: agent +-- source_kind: agent +SELECT + "range_Valence", + SUM(CAST("entropy_atomic_mass" AS REAL)) AS total_measure +FROM "n5" +GROUP BY "range_Valence" +ORDER BY total_measure DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_bb3a0a09a026c40c.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_bb3a0a09a026c40c.sql new file mode 100644 index 0000000000000000000000000000000000000000..4a370cacfd176536bdceb863ac412e141ab677c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_bb3a0a09a026c40c.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_bb3a0a09a026c40c +-- problem_id: v2p_n5_e4ea945e21f7f267 +-- realization_mode: agent +-- source_kind: agent +SELECT "mean_Valence", "entropy_Valence", COUNT(*) AS "row_count" +FROM "n5" +WHERE CAST("wtd_gmean_FusionHeat" AS REAL) >= 1.296075 +GROUP BY "mean_Valence", "entropy_Valence" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_bc04b1695edaad3f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_bc04b1695edaad3f.sql new file mode 100644 index 0000000000000000000000000000000000000000..9fb21d1ae23e83fba6869eef2eae74a14f903bb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_bc04b1695edaad3f.sql @@ -0,0 +1,68 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_bc04b1695edaad3f +-- problem_id: v2p_n5_d24bcc04d8b0fe48 +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + CAST(NULLIF(TRIM("range_Valence"), '') AS REAL) AS "range_Valence", + CAST(NULLIF(TRIM("wtd_range_atomic_mass"), '') AS REAL) AS "wtd_range_atomic_mass" + FROM "n5" + WHERE NULLIF(TRIM("range_Valence"), '') IS NOT NULL + AND NULLIF(TRIM("wtd_range_atomic_mass"), '') IS NOT NULL +), +"ranked" AS ( + SELECT + "range_Valence", + "wtd_range_atomic_mass", + ROW_NUMBER() OVER ( + PARTITION BY "range_Valence" + ORDER BY "wtd_range_atomic_mass" + ) AS "rn", + COUNT(*) OVER ( + PARTITION BY "range_Valence" + ) AS "cnt" + FROM "base" +), +"percentile_index" AS ( + SELECT DISTINCT + "range_Valence", + "cnt", + (1.0 + (0.9 * ("cnt" - 1))) AS "pos", + CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) AS "lower_rn", + CASE + WHEN (1.0 + (0.9 * ("cnt" - 1))) > CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) + THEN CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) + 1 + ELSE CAST(1.0 + (0.9 * ("cnt" - 1)) AS INTEGER) + END AS "upper_rn" + FROM "ranked" + WHERE "cnt" >= 5 +) +SELECT + "p"."range_Valence" AS "range_Valence", + CASE + WHEN "p"."lower_rn" = "p"."upper_rn" THEN + MAX(CASE WHEN "r"."rn" = "p"."lower_rn" THEN "r"."wtd_range_atomic_mass" END) + ELSE + MAX(CASE WHEN "r"."rn" = "p"."lower_rn" THEN "r"."wtd_range_atomic_mass" END) * ("p"."upper_rn" - "p"."pos") + + MAX(CASE WHEN "r"."rn" = "p"."upper_rn" THEN "r"."wtd_range_atomic_mass" END) * ("p"."pos" - "p"."lower_rn") + END AS "percentile_measure" +FROM "percentile_index" AS "p" +JOIN "ranked" AS "r" + ON "r"."range_Valence" = "p"."range_Valence" +GROUP BY + "p"."range_Valence", + "p"."cnt", + "p"."pos", + "p"."lower_rn", + "p"."upper_rn" +ORDER BY "percentile_measure" DESC, "p"."range_Valence" ASC +LIMIT 14; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_bc4f78715ed735a8.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_bc4f78715ed735a8.sql new file mode 100644 index 0000000000000000000000000000000000000000..8f2a02f8b92d17f67f768fa0e6cfcec4de8667fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_bc4f78715ed735a8.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_bc4f78715ed735a8 +-- problem_id: v2p_n5_8f295f81d9fe3d30 +-- realization_mode: agent +-- source_kind: agent +SELECT "std_Valence", "std_atomic_radius", + SUM(CAST("range_atomic_radius" AS REAL)) AS total_measure, + SUM(CAST("range_atomic_radius" AS REAL)) * 100.0 / SUM(SUM(CAST("range_atomic_radius" AS REAL))) OVER (PARTITION BY "std_Valence") AS share_within_group +FROM "n5" +GROUP BY "std_Valence", "std_atomic_radius" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_be0648a07fc54b9d.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_be0648a07fc54b9d.sql new file mode 100644 index 0000000000000000000000000000000000000000..43c984032b0b1f4ce5b20e8ad35f779d8d894ccc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_be0648a07fc54b9d.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_be0648a07fc54b9d +-- problem_id: v2p_n5_23923321c6e6a87f +-- realization_mode: agent +-- source_kind: agent +SELECT CAST("entropy_Valence" AS REAL) AS "entropy_Valence", + CAST("range_atomic_radius" AS REAL) AS "range_atomic_radius", + SUM(CAST("entropy_atomic_radius" AS REAL)) AS total_measure, + SUM(CAST("entropy_atomic_radius" AS REAL)) * 100.0 + / SUM(SUM(CAST("entropy_atomic_radius" AS REAL))) OVER (PARTITION BY CAST("entropy_Valence" AS REAL)) AS share_within_group +FROM "n5" +WHERE "entropy_Valence" IS NOT NULL + AND "range_atomic_radius" IS NOT NULL + AND "entropy_atomic_radius" IS NOT NULL +GROUP BY CAST("entropy_Valence" AS REAL), CAST("range_atomic_radius" AS REAL) +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_becd6dcdc7b63bad.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_becd6dcdc7b63bad.sql new file mode 100644 index 0000000000000000000000000000000000000000..6ff7c77306c4ed79e34756b1596e81d1f35e3306 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_becd6dcdc7b63bad.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_becd6dcdc7b63bad +-- problem_id: v2p_n5_73fc58a3abee006e +-- realization_mode: agent +-- source_kind: agent +SELECT "mean_Valence", "range_Valence", COUNT(*) AS row_count +FROM "n5" +WHERE CAST("entropy_FusionHeat" AS REAL) >= 1.323604 +GROUP BY "mean_Valence", "range_Valence" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_c101e35eae233eb3.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_c101e35eae233eb3.sql new file mode 100644 index 0000000000000000000000000000000000000000..e7e1a2ee8a614d1869f61160fe77785001ff140c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_c101e35eae233eb3.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_c101e35eae233eb3 +-- problem_id: v2p_n5_7a057300f45c8781 +-- realization_mode: agent +-- source_kind: agent +SELECT "range_atomic_radius", SUM(CAST("wtd_range_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +GROUP BY "range_atomic_radius" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_c57bae0ffde7929e.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_c57bae0ffde7929e.sql new file mode 100644 index 0000000000000000000000000000000000000000..8ac983a3b9809deb21ebc3dd106f868061cd8d29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_c57bae0ffde7929e.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_c57bae0ffde7929e +-- problem_id: v2p_n5_8abcaf6460e30d50 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "wtd_range_atomic_mass", + COUNT(*) AS support, + AVG("number_of_elements") AS avg_response +FROM "n5" +GROUP BY "wtd_range_atomic_mass" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_c62a4fc5b420809f.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_c62a4fc5b420809f.sql new file mode 100644 index 0000000000000000000000000000000000000000..b7ccf5d0474cacca97b51ee5596ab0c93d03783e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_c62a4fc5b420809f.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_c62a4fc5b420809f +-- problem_id: v2p_n5_9f11c8c5c662cae2 +-- realization_mode: agent +-- source_kind: agent +SELECT + "number_of_elements", + SUM(CAST("range_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +GROUP BY "number_of_elements" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_c79aafb2c7ffd808.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_c79aafb2c7ffd808.sql new file mode 100644 index 0000000000000000000000000000000000000000..3bb28461dc9ce8ccf8bece19e6ab8bd14739223a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_c79aafb2c7ffd808.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_c79aafb2c7ffd808 +-- problem_id: v2p_n5_e5de42adef91777c +-- realization_mode: agent +-- source_kind: agent +SELECT + "entropy_Valence", + "wtd_gmean_Density", + SUM(CAST("wtd_mean_Density" AS REAL)) AS total_measure, + SUM(CAST("wtd_mean_Density" AS REAL)) * 100.0 + / SUM(SUM(CAST("wtd_mean_Density" AS REAL))) OVER (PARTITION BY "entropy_Valence") AS share_within_group +FROM "n5" +WHERE "entropy_Valence" IS NOT NULL + AND "wtd_gmean_Density" IS NOT NULL + AND "wtd_mean_Density" IS NOT NULL +GROUP BY "entropy_Valence", "wtd_gmean_Density" +ORDER BY share_within_group DESC +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_c8a17082a03f0f1b.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_c8a17082a03f0f1b.sql new file mode 100644 index 0000000000000000000000000000000000000000..10b2c7a83145af96a8faebf813a21fab0b4cb526 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_c8a17082a03f0f1b.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_c8a17082a03f0f1b +-- problem_id: v2p_n5_498ba405778bc46c +-- realization_mode: agent +-- source_kind: agent +SELECT "mean_Valence", COUNT(*) AS "row_count" +FROM "n5" +GROUP BY "mean_Valence" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_cab08fc4a80fffd1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_cab08fc4a80fffd1.sql new file mode 100644 index 0000000000000000000000000000000000000000..f0e43b7080967e4a2139d136fa3e3b0a197a9bfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_cab08fc4a80fffd1.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_cab08fc4a80fffd1 +-- problem_id: v2p_n5_e5ba98994f816cfc +-- realization_mode: agent +-- source_kind: agent +SELECT + "entropy_Valence", + "range_atomic_radius", + SUM(CAST("entropy_atomic_radius" AS REAL)) AS "total_measure", + SUM(CAST("entropy_atomic_radius" AS REAL)) * 100.0 / SUM(SUM(CAST("entropy_atomic_radius" AS REAL))) OVER (PARTITION BY "entropy_Valence") AS "share_within_group" +FROM "n5" +WHERE "entropy_Valence" IS NOT NULL + AND "range_atomic_radius" IS NOT NULL + AND "entropy_atomic_radius" IS NOT NULL + AND "entropy_Valence" <> '' + AND "range_atomic_radius" <> '' + AND "entropy_atomic_radius" <> '' +GROUP BY "entropy_Valence", "range_atomic_radius" +ORDER BY "share_within_group" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_caeedfa17f1be846.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_caeedfa17f1be846.sql new file mode 100644 index 0000000000000000000000000000000000000000..ce8786bd44dc97328d8f9e290b5b7cac2226e6d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_caeedfa17f1be846.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_caeedfa17f1be846 +-- problem_id: v2p_n5_ca4d882d563344cb +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "std_atomic_mass", + COUNT(*) AS support, + AVG("gmean_atomic_mass") AS avg_response +FROM "n5" +GROUP BY "std_atomic_mass" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_cb94e7f4d2369875.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_cb94e7f4d2369875.sql new file mode 100644 index 0000000000000000000000000000000000000000..e1edb2090e882adafc92a0c4d921f38c180a2ee9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_cb94e7f4d2369875.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_cb94e7f4d2369875 +-- problem_id: v2p_n5_13f4d2c9bf4d410e +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "number_of_elements", + SUM(CASE WHEN CAST("wtd_entropy_Valence" AS REAL) = 1.24943039324213 THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN CAST("wtd_entropy_Valence" AS REAL) = 1.09604328066818 THEN 1 ELSE 0 END) AS denominator_count + FROM "n5" + GROUP BY "number_of_elements" +) +SELECT + "number_of_elements", + 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_c/n5/sql/v2q_n5_cc6be07883ea4736.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_cc6be07883ea4736.sql new file mode 100644 index 0000000000000000000000000000000000000000..73a0133a107dc8b5cc8e071b31e6d63473a3474b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_cc6be07883ea4736.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_cc6be07883ea4736 +-- problem_id: v2p_n5_fe81a81f4d6e752a +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT "gmean_Valence", + SUM(CASE WHEN "wtd_entropy_Valence" = '1.24943039324213' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "wtd_entropy_Valence" = '1.09604328066818' THEN 1 ELSE 0 END) AS denominator_count + FROM "n5" + GROUP BY "gmean_Valence" +) +SELECT "gmean_Valence", + 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_c/n5/sql/v2q_n5_cdc3959d43e32e14.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_cdc3959d43e32e14.sql new file mode 100644 index 0000000000000000000000000000000000000000..1d3532a1931a8e04d4b8a76eda97ab22dbea96b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_cdc3959d43e32e14.sql @@ -0,0 +1,18 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_cdc3959d43e32e14 +-- problem_id: v2p_n5_c2859f3cac45e364 +-- realization_mode: agent +-- source_kind: agent +SELECT "range_atomic_radius", "mean_Valence", COUNT(*) AS row_count +FROM "n5" +WHERE CAST("wtd_range_ElectronAffinity" AS REAL) >= 81.350571 +GROUP BY "range_atomic_radius", "mean_Valence" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_d32f174bafa8ba65.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_d32f174bafa8ba65.sql new file mode 100644 index 0000000000000000000000000000000000000000..3ea15e9a6407a38edb087a2cfe41f57c1d6a87ca --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_d32f174bafa8ba65.sql @@ -0,0 +1,27 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_d32f174bafa8ba65 +-- problem_id: v2p_n5_e3e6c2b5c319e37e +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "range_atomic_radius", + SUM(CASE WHEN "range_Valence" = '2' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "range_Valence" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "n5" + GROUP BY "range_atomic_radius" +) +SELECT + "range_atomic_radius", + CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio +FROM grouped +ORDER BY condition_ratio DESC +LIMIT 13; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_d5e088c64c3bc4e1.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_d5e088c64c3bc4e1.sql new file mode 100644 index 0000000000000000000000000000000000000000..b8b3de57ba2f905cfee7dbe24a0ada304570e830 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_d5e088c64c3bc4e1.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_d5e088c64c3bc4e1 +-- problem_id: v2p_n5_6a79e00f87676b59 +-- realization_mode: agent +-- source_kind: agent +SELECT + CAST("range_atomic_radius" AS REAL) AS "range_atomic_radius", + CAST("std_Valence" AS REAL) AS "std_Valence", + COUNT(*) AS "row_count" +FROM "n5" +WHERE CAST("wtd_mean_FusionHeat" AS REAL) >= 4.959538 +GROUP BY + CAST("range_atomic_radius" AS REAL), + CAST("std_Valence" AS REAL) +ORDER BY "row_count" DESC +LIMIT 12; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_d81e520eb1e79207.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_d81e520eb1e79207.sql new file mode 100644 index 0000000000000000000000000000000000000000..9bf3b1aae74d8290982664e6fa4d6a216c57adc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_d81e520eb1e79207.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_d81e520eb1e79207 +-- problem_id: v2p_n5_1dcc1a292a2d252b +-- realization_mode: agent +-- source_kind: agent +SELECT + "range_atomic_radius", + "entropy_Valence", + COUNT(*) AS "row_count" +FROM "n5" +WHERE CAST("wtd_std_ElectronAffinity" AS REAL) >= 46.81886 +GROUP BY "range_atomic_radius", "entropy_Valence" +ORDER BY "row_count" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_d8bc6ce06ab6d3e9.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_d8bc6ce06ab6d3e9.sql new file mode 100644 index 0000000000000000000000000000000000000000..0b6200cbeb740764f05e46395bf0981a4557f9cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_d8bc6ce06ab6d3e9.sql @@ -0,0 +1,46 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_d8bc6ce06ab6d3e9 +-- problem_id: v2p_n5_106e009ba434aa5a +-- realization_mode: agent +-- source_kind: agent +WITH "base" AS ( + SELECT + "number_of_elements", + CAST("gmean_atomic_mass" AS REAL) AS "measure" + FROM "n5" + WHERE "number_of_elements" IS NOT NULL + AND "gmean_atomic_mass" IS NOT NULL +), +"eligible" AS ( + SELECT "number_of_elements" + FROM "base" + GROUP BY "number_of_elements" + HAVING COUNT(*) >= 5 +), +"ranked" AS ( + SELECT + b."number_of_elements", + b."measure", + CUME_DIST() OVER ( + PARTITION BY b."number_of_elements" + ORDER BY b."measure" + ) AS "cume_dist" + FROM "base" AS b + INNER JOIN "eligible" AS e + ON b."number_of_elements" = e."number_of_elements" +) +SELECT + "number_of_elements", + MIN("measure") AS "percentile_measure" +FROM "ranked" +WHERE "cume_dist" >= 0.9 +GROUP BY "number_of_elements" +ORDER BY "percentile_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_dc6160bae514b887.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_dc6160bae514b887.sql new file mode 100644 index 0000000000000000000000000000000000000000..c9e9c13b745f5babc3ae52863361e7ed1c8376c4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_dc6160bae514b887.sql @@ -0,0 +1,35 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_dc6160bae514b887 +-- problem_id: v2p_n5_d614cc295c6f4b5e +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "range_atomic_radius", + "mean_Density", + SUM(CAST("std_atomic_radius" AS REAL)) AS "total_measure" + FROM "n5" + WHERE "range_atomic_radius" IS NOT NULL + AND "mean_Density" IS NOT NULL + AND "std_atomic_radius" IS NOT NULL + AND TRIM("range_atomic_radius") <> '' + AND TRIM("mean_Density") <> '' + AND TRIM("std_atomic_radius") <> '' + GROUP BY "range_atomic_radius", "mean_Density" +) +SELECT + "range_atomic_radius", + "mean_Density", + "total_measure", + "total_measure" * 100.0 / SUM("total_measure") OVER (PARTITION BY "range_atomic_radius") AS "share_within_group" +FROM "grouped" +ORDER BY "share_within_group" DESC +LIMIT 19; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_dc718d7c54ed86bb.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_dc718d7c54ed86bb.sql new file mode 100644 index 0000000000000000000000000000000000000000..f23413e21b0170dc9b1b89cd068c65c5d1f3b896 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_dc718d7c54ed86bb.sql @@ -0,0 +1,26 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_dc718d7c54ed86bb +-- problem_id: v2p_n5_0f8d0721e1c52c80 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "std_Valence", + SUM(CASE WHEN "range_Valence" = '2' THEN 1 ELSE 0 END) AS numerator_count, + SUM(CASE WHEN "range_Valence" = '1' THEN 1 ELSE 0 END) AS denominator_count + FROM "n5" + GROUP BY "std_Valence" +) +SELECT + "std_Valence", + 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_c/n5/sql/v2q_n5_ddb3d78879d4b093.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_ddb3d78879d4b093.sql new file mode 100644 index 0000000000000000000000000000000000000000..0d022c8579b0c8e3c871c99fe01f0c16f490a332 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_ddb3d78879d4b093.sql @@ -0,0 +1,19 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_ddb3d78879d4b093 +-- problem_id: v2p_n5_040cd3cd9d599bcb +-- realization_mode: agent +-- source_kind: agent +SELECT "range_Valence", "entropy_Density", + SUM(CAST("gmean_Density" AS REAL)) AS total_measure, + SUM(CAST("gmean_Density" AS REAL)) * 100.0 / SUM(SUM(CAST("gmean_Density" AS REAL))) OVER (PARTITION BY "range_Valence") AS share_within_group +FROM "n5" +GROUP BY "range_Valence", "entropy_Density" +ORDER BY share_within_group DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_e1bc5f2dce438d39.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_e1bc5f2dce438d39.sql new file mode 100644 index 0000000000000000000000000000000000000000..83eabe47e47a1c30e0e374e69c76516065ac7b2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_e1bc5f2dce438d39.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_e1bc5f2dce438d39 +-- problem_id: v2p_n5_4446ed5be6151d86 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + CAST("range_atomic_radius" AS REAL) AS "range_atomic_radius", + SUM(CAST("std_Valence" AS REAL)) AS "group_value" + FROM "n5" + WHERE "range_atomic_radius" IS NOT NULL + AND TRIM("range_atomic_radius") <> '' + AND "std_Valence" IS NOT NULL + AND TRIM("std_Valence") <> '' + GROUP BY CAST("range_atomic_radius" AS REAL) +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT g."range_atomic_radius", 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_c/n5/sql/v2q_n5_e264bd5c0d58eccf.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_e264bd5c0d58eccf.sql new file mode 100644 index 0000000000000000000000000000000000000000..150aaff3352c2d35960776dfa8ef74d2ce235436 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_e264bd5c0d58eccf.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_e264bd5c0d58eccf +-- problem_id: v2p_n5_0082bb73ed452130 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "number_of_elements", + SUM(CAST("wtd_range_Valence" AS REAL)) AS group_value + FROM "n5" + WHERE "number_of_elements" IS NOT NULL + AND "number_of_elements" <> '' + AND "wtd_range_Valence" IS NOT NULL + AND "wtd_range_Valence" <> '' + GROUP BY "number_of_elements" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."number_of_elements", 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_c/n5/sql/v2q_n5_e45db3340e5eec53.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_e45db3340e5eec53.sql new file mode 100644 index 0000000000000000000000000000000000000000..c13b7dc559986bbc56b8aded7bb2e15ef5b80ced --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_e45db3340e5eec53.sql @@ -0,0 +1,32 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_e45db3340e5eec53 +-- problem_id: v2p_n5_d13f641f161fac00 +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "entropy_Valence", + SUM(CAST("wtd_gmean_Valence" AS REAL)) AS group_value + FROM "n5" + WHERE "entropy_Valence" IS NOT NULL + AND TRIM("entropy_Valence") <> '' + AND "wtd_gmean_Valence" IS NOT NULL + AND TRIM("wtd_gmean_Valence") <> '' + GROUP BY "entropy_Valence" +), total AS ( + SELECT SUM(group_value) AS total_value + FROM grouped +) +SELECT g."entropy_Valence", 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_c/n5/sql/v2q_n5_e5534c22c0726069.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_e5534c22c0726069.sql new file mode 100644 index 0000000000000000000000000000000000000000..5102ecd04d411b418cdc886e52db27c882340071 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_e5534c22c0726069.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_e5534c22c0726069 +-- problem_id: v2p_n5_0a8bb5c91b31ee62 +-- realization_mode: agent +-- source_kind: agent +SELECT "gmean_Valence", COUNT(*) AS row_count +FROM "n5" +GROUP BY "gmean_Valence" +ORDER BY row_count DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_ef0ed8f1ce410811.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_ef0ed8f1ce410811.sql new file mode 100644 index 0000000000000000000000000000000000000000..099856cad30000ab3ff05f9fa3ea40e6059a866d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_ef0ed8f1ce410811.sql @@ -0,0 +1,21 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_ef0ed8f1ce410811 +-- problem_id: v2p_n5_fce4a74f0214afb4 +-- realization_mode: deterministic +-- source_kind: deterministic +SELECT + "wtd_mean_fie", + COUNT(*) AS support, + AVG("gmean_atomic_mass") AS avg_response +FROM "n5" +GROUP BY "wtd_mean_fie" +HAVING COUNT(*) >= 5.0 +ORDER BY support DESC, avg_response DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_f3a1cf225e545510.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_f3a1cf225e545510.sql new file mode 100644 index 0000000000000000000000000000000000000000..60d60bd0bdfd0f0e6d1cf4d17d4c1823b476167c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_f3a1cf225e545510.sql @@ -0,0 +1,24 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_f3a1cf225e545510 +-- problem_id: v2p_n5_1b521a1bd6879c2d +-- realization_mode: agent +-- source_kind: agent +WITH buckets AS ( + SELECT CAST("range_ThermalConductivity" AS REAL) AS "range_ThermalConductivity", + NTILE(10) OVER (ORDER BY CAST("range_ThermalConductivity" AS REAL) DESC) AS "tail_bucket" + FROM "n5" + WHERE "range_ThermalConductivity" IS NOT NULL + AND TRIM("range_ThermalConductivity") <> '' +) +SELECT "range_ThermalConductivity" +FROM buckets +WHERE "tail_bucket" = 1 +ORDER BY "range_ThermalConductivity" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_f6fee279e5dc1d3a.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_f6fee279e5dc1d3a.sql new file mode 100644 index 0000000000000000000000000000000000000000..4f39150c54e2cb4906a5a48a608040d528dd4383 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_f6fee279e5dc1d3a.sql @@ -0,0 +1,33 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_f6fee279e5dc1d3a +-- problem_id: v2p_n5_0e4401b1af7b09ee +-- realization_mode: agent +-- source_kind: agent +WITH "grouped" AS ( + SELECT + "gmean_Valence" AS "gmean_Valence", + SUM(CAST("gmean_Valence" AS REAL)) AS "group_value" + FROM "n5" + WHERE "gmean_Valence" IS NOT NULL + AND TRIM("gmean_Valence") <> '' + GROUP BY "gmean_Valence" +), +"total" AS ( + SELECT SUM("group_value") AS "total_value" + FROM "grouped" +) +SELECT + g."gmean_Valence", + 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_c/n5/sql/v2q_n5_f9ab690da501e7da.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_f9ab690da501e7da.sql new file mode 100644 index 0000000000000000000000000000000000000000..870bbd87210339f19ba805f7f036a80ff59e93a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_f9ab690da501e7da.sql @@ -0,0 +1,17 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_f9ab690da501e7da +-- problem_id: v2p_n5_b06129e0e9646f32 +-- realization_mode: agent +-- source_kind: agent +SELECT "number_of_elements", SUM(CAST("range_atomic_mass" AS REAL)) AS "total_measure" +FROM "n5" +GROUP BY "number_of_elements" +ORDER BY "total_measure" DESC; diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_fa77b64a4e76fe00.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_fa77b64a4e76fe00.sql new file mode 100644 index 0000000000000000000000000000000000000000..a8425316fdb2c94ad5ac3132576953c91cbdc662 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_fa77b64a4e76fe00.sql @@ -0,0 +1,28 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_fa77b64a4e76fe00 +-- problem_id: v2p_n5_6fed6f69f371bddb +-- realization_mode: deterministic +-- source_kind: deterministic +WITH grouped AS ( + SELECT "range_Valence" AS value_label, COUNT(*) AS support + FROM "n5" + GROUP BY "range_Valence" +), 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_c/n5/sql/v2q_n5_fd2e129a7822b8f0.sql b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_fd2e129a7822b8f0.sql new file mode 100644 index 0000000000000000000000000000000000000000..eb6c1f01470c1048441bd4d7f6cf6cc86430273f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_c/n5/sql/v2q_n5_fd2e129a7822b8f0.sql @@ -0,0 +1,34 @@ +-- sql_source_version: v2 +-- sql_source_label: v2_current +-- sql_source_run_id: v2_cli_20260502_081223_c +-- sql_source_dataset_id: n5 +-- 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_n5_fd2e129a7822b8f0 +-- problem_id: v2p_n5_d0ec0a90a28cc53f +-- realization_mode: agent +-- source_kind: agent +WITH grouped AS ( + SELECT + "number_of_elements", + SUM(CAST("wtd_range_Valence" AS REAL)) AS "group_value" + FROM "n5" + WHERE "number_of_elements" IS NOT NULL + AND TRIM("number_of_elements") <> '' + AND "wtd_range_Valence" IS NOT NULL + AND TRIM("wtd_range_Valence") <> '' + GROUP BY "number_of_elements" +), total AS ( + SELECT SUM("group_value") AS "total_value" + FROM grouped +) +SELECT + g."number_of_elements", + 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;